Building management system with sustainability improvement

Abstract

A carbon reduction system for a building may include one or more memory devices having stored thereon instructions that, when executed by one or more processors, cause the one or more processors to: receive operational data for the building, and transmit the operational data to the building; the operation data comprises at least one of current or historical operation data; determining a baseline value for carbon emissions based on the operational data for the building; and establishing a carbon reduction target for the building to improve carbon emissions for the building from the baseline value for carbon emissions, the carbon reduction target including a target value for carbon emissions and a time range for achieving the target value for carbon emissions.

Description

[0001] Cross-references to related patent applications

[0002] This application claims the benefit of and priority to U.S. Provisional Patent Application No. 63 / 336,935, filed April 29, 2022, the benefit of and priority to U.S. Provisional Patent Application No. 63 / 435,191, filed December 23, 2022, and the benefit of and priority to U.S. Patent Application No. 18 / 098,003, filed January 17, 2023, each of which is incorporated herein by reference in its entirety. The following applications are also incorporated herein by reference in their entirety: U.S. Patent Application No. 17 / 710,458, filed March 31, 2022, U.S. Patent Application No. 17 / 134,661, filed December 28, 2020, U.S. Provisional Patent Application No. 63 / 289,499, filed December 14, 2021, and U.S. Patent Application No. 17 / 537,046, filed November 29, 2021. Summary of the invention

[0003] At least one embodiment relates to a building management system (BMS). The BMS may include one or more memory devices having instructions stored thereon, which, when executed by one or more processors, cause the one or more processors to receive operational data for a group of one or more buildings, the operational data including at least one of current or historical operational data. The instructions may also cause the one or more processors to determine a baseline sustainability performance for the group of buildings based on the operational data. The instructions may also cause the one or more processors to establish sustainability goals for the group of buildings to improve the sustainability of the group of buildings from the baseline sustainability performance, the sustainability goals including a target sustainability level and a time frame for achieving the target sustainability level. The instructions may also cause the one or more processors to use the baseline sustainability performance and the sustainability goals to generate multiple control actions for multiple pieces of building equipment for the group of buildings to move the sustainability of the group of buildings toward the target sustainability level, and the instructions may also cause the one or more processors to use the control actions to control multiple pieces of building equipment.

[0004] In some embodiments, the sustainability goal includes a goal of improving a sustainability level affected by multiple sustainability characteristics of the building, and the instructions cause one or more processors to determine target characteristic levels for the multiple sustainability characteristics using the baseline sustainability performance and the sustainability goal to achieve the target sustainability level overall over a time frame, and to generate a second plurality of control actions using the target characteristic levels for the multiple sustainability characteristics to move operations of the group of buildings toward the target characteristic levels.

[0005] In some embodiments, generating a control action may include generating a first control action for a first group of one or more pieces of building equipment in a first building equipment domain based on a first target characteristic level of a first sustainability characteristic of a plurality of building equipment, and generating a second control action for a second group of one or more pieces of building equipment in a second building equipment domain based on a second target characteristic level of a second sustainability characteristic of the plurality of sustainability characteristics, the second building domain being different from the first building domain.

[0006] In some embodiments, the instructions cause the one or more processors to receive an indication to update the target sustainability level, wherein the indication includes a user-defined target sustainability level related to a sustainability goal for a group of buildings. The instructions may also cause the one or more processors to determine, using the user-defined target sustainability level and the sustainability goal, that the user-defined target sustainability level satisfies the sustainability goal, and to update the target sustainability level to reflect the user-defined target sustainability level.

[0007] In some embodiments, the instructions cause the one or more processors to receive second operational data for the group of buildings in response to controlling the plurality of pieces of building equipment using the control action. The instructions also cause the one or more processors to determine a current sustainability performance using the second operational data for the group of buildings, wherein the current sustainability performance is determined in response to a predetermined time period. The instructions also cause the one or more processors to determine a difference between the current sustainability performance and a baseline sustainability performance, and determine that the sustainability of the group of buildings has improved in response to the difference being greater than a predetermined threshold.

[0008] In some embodiments, the instructions cause the one or more processors to cause the user interface to display an element, wherein the element includes a target sustainability level, a baseline sustainability performance, and a difference between the target sustainability level and the baseline sustainability performance.

[0009] In some embodiments, the instructions cause one or more processors to establish a second sustainability target for a particular building in the group of buildings, wherein the second sustainability target includes a second target sustainability level associated with the particular building in the group of buildings, and to generate a second plurality of control actions using the second target sustainability level and a second baseline sustainability performance, the second plurality of control actions moving the sustainability of the particular building in the group of buildings toward the second target sustainability level.

[0010] In some embodiments, the instructions cause one or more processors to receive an indication to update a second target sustainability level, wherein the indication includes a second user-defined target sustainability level, and in response to determining that the second user-defined target sustainability level satisfies the second sustainability goal, to update the second target sustainability level to reflect the second user-defined target sustainability level.

[0011] In some embodiments, the instructions cause one or more processors to establish a third sustainability target for a specific building in the group of buildings, wherein the third sustainability target includes a third target sustainability level, wherein the specific building includes a second plurality of pieces of building equipment, and to generate one or more control actions for the second plurality of pieces of building equipment using the third target sustainability level and a third baseline sustainability performance to move the sustainability of the specific building toward the third target sustainability level.

[0012] In some embodiments, the instructions cause the one or more processors to control a second plurality of pieces of building equipment using the one or more control actions. The instructions also cause the one or more processors to receive operational data for the second plurality of pieces of building equipment and to use the operational data for the second plurality of pieces of building equipment to determine that the sustainability of the particular building has moved toward a third target sustainability level.

[0013] In some embodiments, the sustainability of the group of buildings is related to at least one of carbon emissions, greenhouse gas emissions, electricity consumption, natural gas consumption, diesel consumption, or butane consumption.

[0014] At least one embodiment relates to a method for improving the sustainability of a group of one or more buildings. The method may include receiving, by one or more processors for the group of buildings, operational data for the group of buildings, the operational data including at least one of current or historical operational data. The method may also include determining, by one or more processors for the group of buildings, a baseline sustainability performance based on the operational data. The method may also include establishing, by one or more processors for the group of buildings, a sustainability goal to improve the sustainability of the group of buildings from the baseline sustainability performance, the sustainability goal including a target sustainability level and a time frame for achieving the target sustainability level. The method may also include generating, by one or more processors, one or more operational changes to multiple pieces of building equipment for the group of buildings using the baseline sustainability performance and the sustainability goal to move the sustainability of the group of buildings toward the target sustainability level, and outputting, by the one or more processors, the generated operational changes.

[0015] In some embodiments, the sustainability goal includes a goal of improving a sustainability level affected by multiple sustainability characteristics of a building, and the method includes determining, by one or more processors, target characteristic levels for the multiple sustainability characteristics using the baseline sustainability performance and the sustainability goal to achieve the target sustainability level overall over the time frame, and generating, by the one or more processors, multiple control actions using the target characteristic levels for the multiple sustainability characteristics to move operations of the group of buildings toward the target characteristic levels.

[0016] In some embodiments, the method may include generating, by one or more processors, a first control action for a first group of one or more pieces of building equipment in a first building equipment domain based on a first target characteristic level of a first sustainability characteristic among multiple sustainability characteristics, and generating, by the one or more processors, a second control action for a second group of one or more pieces of building equipment in a second building equipment domain based on a second target characteristic level of a second sustainability characteristic among the multiple sustainability characteristics, the second building domain being different from the first building domain.

[0017] In some embodiments, the method may include receiving, by one or more processors, an indication to update the target sustainability level, wherein the indication includes a user-defined target sustainability level related to a sustainability goal for the group of buildings. The method may also include determining, by the one or more processors, using the user-defined target sustainability level and the sustainability goal, that the user-defined target sustainability level satisfies the sustainability goal, and updating, by the one or more processors, the target sustainability level to reflect the user-defined target sustainability level.

[0018] In some embodiments, outputting the generated operational changes includes generating recommendations to implement one or more operational changes, and the method may include receiving, by one or more processors, approval to implement the one or more operational changes. The method may also include generating control actions to implement the operational changes, and using the generated control actions to control building equipment.

[0019] In some embodiments, the method may include establishing, by one or more processors, a second sustainability target for a particular building in the group of buildings, wherein the second sustainability target includes a second target sustainability level associated with the particular building in the group of buildings, and generating, by the one or more processors, a plurality of control actions using the second target sustainability level and a second baseline sustainability performance, the plurality of control actions moving the sustainability of the particular building in the group of buildings toward the second target sustainability level.

[0020] At least one embodiment is directed to a carbon reduction system for a building. The carbon reduction system may include one or more memory devices having instructions stored thereon, which when executed by one or more processors cause the one or more processors to receive operational data for the building, the operational data including at least one of current or historical operational data. The instructions may also cause the one or more processors to determine a baseline value for carbon emissions for the building based on the operational data, and to establish a carbon reduction target for the building to improve the carbon emissions for the building from the baseline value for carbon emissions, the carbon reduction target including a target value for carbon emissions and a time frame for achieving the target value for carbon emissions.

[0021] In some embodiments, the instructions cause one or more processors to generate multiple control actions for multiple pieces of building equipment in a building using a baseline value for carbon emissions and a carbon reduction target to move the sustainability of the building toward the target value for carbon emissions, and to control the multiple pieces of building equipment using the control actions.

[0022] In some embodiments, the instructions cause the one or more processors to receive second operational data for the building in response to controlling multiple pieces of building equipment of the building using multiple control actions. The instructions may also cause the one or more processors to determine a current value for carbon emissions using the second operational data for the building, wherein the current value for carbon emissions is determined in response to a predetermined time period. The instructions may also cause the one or more processors to determine a difference between the current value for carbon emissions and a baseline value for carbon emissions, and determine that the sustainability of the building has moved toward a target value for carbon emissions in response to the difference being greater than a predetermined threshold. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Various objects, aspects, features and advantages of the present disclosure will become more apparent and better understood by reference to the detailed description taken in conjunction with the accompanying drawings, in which like reference numerals identify corresponding elements throughout the drawings. In the drawings, the same reference numerals generally represent identical, functionally similar and / or structurally similar elements.

[0024] Figure 1 is a diagram of a building equipped with an HVAC system according to an exemplary embodiment.

[0025] Figure 2 According to an exemplary embodiment, it can be used to monitor and / or control Figure 1 Block diagram of the building automation system (BAS) of a building.

[0026] Figure 3 is a block diagram of a system for planning sustainability optimization of a building according to an exemplary embodiment.

[0027] Figure 4 According to an exemplary embodiment Figure 3 Block diagram of an energy bill retrieval system of a sustainability optimization system that retrieves a utility bill for the building.

[0028] Figure 5 According to an exemplary embodiment Figure 3 Block diagram of a building audit system of a system configured to collect building data for a building via an audit.

[0029] Figure 6 According to an exemplary embodiment Figure 3 Block diagram of a demand-side data system of a system configured to collect building systems and operational data from a building and calculate energy metrics, carbon metrics, operational metrics, and facility improvement measures (FIMs) for the building.

[0030] Figure 7 According to an exemplary embodiment Figure 3 Block diagram of a field supply data system of a system configured to collect data from a field energy supply system of a building.

[0031] Figure 8 According to an exemplary embodiment Figure 3 Block diagram of a sustainability advisor and an optimization system of a system, the sustainability advisor being configured to provide sustainability data to a user and receive input from the user, and the optimization system being configured to run sustainability optimization of a building.

[0032] Fig. 9 is a block diagram of a planning tool that may be used to determine the return on investing in a battery asset and calculate various financial metrics associated with the investment, according to an exemplary embodiment.

[0033] Fig.10 is a block diagram illustrating an asset size determination module according to an exemplary embodiment.

[0034] Fig.11 is a user interface displaying an energy manager dashboard according to an exemplary embodiment.

[0035] Fig.12 is a user interface displaying a sustainability dashboard according to an exemplary embodiment.

[0036] Fig.13 is a user interface displaying a sustainability dashboard according to an exemplary embodiment.

[0037] Fig.14 is a user interface displaying a sustainability dashboard according to an exemplary embodiment.

[0038] Fig.15 is a user interface displaying a sustainability dashboard according to an exemplary embodiment.

[0039] Fig.16 is a user interface displaying a sustainability dashboard according to an exemplary embodiment.

[0040] Fig.17 is a user interface displaying a sustainability dashboard according to an exemplary embodiment.

[0041] Fig.18 is a user interface displaying an emissions breakdown associated with a sustainability dashboard according to an exemplary embodiment.

[0042] Fig.19 is a user interface displaying an emissions breakdown associated with a sustainability dashboard according to an exemplary embodiment.

[0043] Fig. 20 is a user interface that displays a range selection dashboard according to an exemplary embodiment.

[0044] Fig.21 is a user interface that displays a graph associated with energy consumption according to an exemplary embodiment.

[0045] Fig. 22 is a user interface that displays a graph associated with energy consumption according to an exemplary embodiment.

[0046] Fig.23 is a user interface that displays a graph associated with greenhouse gas (GHG) emissions according to an exemplary embodiment.

[0047] Fig.24 is a user interface that displays a goals and targets dashboard according to an exemplary embodiment.

[0048] Fig.25 is a user interface that displays a settings window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0049] Fig.26 is a user interface that displays a business objectives window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0050] Fig. 27 is a user interface that displays a business objectives window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0051] Fig.28is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0052] Fig.29 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0053] Fig.30 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0054] Fig.31 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0055] Fig.32 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0056] Fig.33 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0057] Fig.34 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0058] Fig.35 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0059] Fig.36 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0060] Fig.37 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0061] Fig.38 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0062] Fig.39 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0063] Fig.40 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0064] Fig.41is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0065] Fig.42 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0066] Fig.43 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0067] Fig.44 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0068] Fig.45 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0069] Fig.46 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0070] Fig.47 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0071] Fig.48 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0072] Fig.49 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0073] Fig.50 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0074] Fig.51 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0075] Fig.52 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0076] Fig.53 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0077] Fig.54 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0078] Fig.55 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0079] Fig.56 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0080] Fig.57 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0081] Fig.58 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0082] Fig.58 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0083] Fig.59 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0084] Fig.60 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0085] Fig.61 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0086] Fig.62 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0087] Fig.63 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0088] Fig.64 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0089] Fig.65 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0090] Fig.66 is a user interface that displays a building sub-metrics window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0091] Fig.67 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0092] Fig.68 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0093] Fig.69 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0094] Fig.70 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0095] Fig.71 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0096] Fig.72 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0097] Fig.73 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0098] Fig.74 is a user interface that displays a business objectives window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0099] Fig.75 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0100] Fig.76 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0101] Fig.77 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0102] Fig.78 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0103] Fig.79 is a user interface that displays a location goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0104] Fig.80 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0105] Fig.81 is a user interface that displays a building goals window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0106] Fig.82 is a user interface that displays a window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0107] Fig.83 is a user interface for displaying a goals and metrics dashboard according to an exemplary embodiment.

[0108] Fig.84 is a user interface that displays a business objectives window associated with a goals and metrics dashboard according to an exemplary embodiment.

[0109] Fig.85 is a flow diagram of a process for establishing business goals according to an exemplary embodiment. DETAILED DESCRIPTION

[0110] Referring generally to the accompanying drawings, systems and methods for sustainability assessment and / or improvement of one or more buildings are provided according to various exemplary embodiments. The sustainability optimization system may be configured to collect various information about the building, such as energy supply data, on-site energy generation systems, demand data, indications of building equipment, etc. The sustainability optimization system may be configured to run an optimization of the collected data to identify improvements to the building that achieve sustainable operation of the building. For example, the optimization may be optimized for various metrics of the building, such as carbon footprint, energy usage, financial costs, etc. The result of the optimization may be to retrofit a piece of building equipment, install on-site solar panels, purchase renewable energy credits (RECs), generate a building control plan, etc. In some embodiments, the system may additionally or alternatively provide an assessment of the historical, current, and / or future sustainability performance of a building, a space in a building, an occupant of a building, a building's equipment, etc., with or without recommendations for improving the performance.

[0111] In some embodiments, the optimization may result in a building plan that enables the building to meet sustainability goals within a specific timeline. For example, a user may have a goal for their building to reach net zero carbon emissions (or predefined and / or user-defined carbon emission levels) within a specific time frame (e.g., the next thirty years). The optimization may be run periodically, such as annually, to optimize within the optimization period (e.g., the next five years) and achieve the goal over the entire planning period (e.g., the next thirty years). In some embodiments, the optimization may additionally or alternatively be run upon user request / demand, upon the occurrence of certain events / goals, etc.

[0112] Building Management Systems and HVAC Systems

[0113] Reference now Figure 1, according to an exemplary embodiment, shows an exemplary building management system (BMS) and HVAC system in which the systems and methods of the present invention can be implemented. Specifically referring to Figure 1 , showing a perspective view of a building 10. The building 10 is served by a BMS. A BMS is generally a system of devices configured to control, monitor, and manage equipment in or around a building or building area. The BMS may include, for example, an HVAC system, a security system, a lighting system, a fire alarm system, and / or any other system capable of managing building functions or devices, or any combination thereof.

[0114] The BMS serving the building 10 includes an HVAC system 100. The HVAC system 100 may include HVAC devices (e.g., heaters, chillers, air handling units, pumps, fans, thermal energy storage devices, etc.) configured to provide heating, cooling, ventilation, or other services to the building 10. By way of example, the HVAC system 100 is shown to include a water side system 120 and an air side system 130. The water side system 120 may provide heated or cooled fluid to the air handling units of the air side system 130. The air side system 130 may use the heated or cooled fluid to heat or cool the airflow provided to the building 10. Figures 2 to 3 Exemplary waterside and airside systems that may be used in HVAC system 100 are described in greater detail.

[0115] HVAC system 100 is shown to include chiller 102, boiler 104, and rooftop air handling unit (AHU) 106. Waterside system 120 can use boiler 104 and chiller 102 to heat or cool a working fluid (e.g., water, glycol, etc.) and can circulate the working fluid to AHU 106. In various embodiments, HVAC devices of waterside system 120 can be located in or around building 10 (e.g., Figure 1 ), or located at an off-site location such as a central plant (e.g., a chiller plant, a steam plant, a heat generating plant, etc.). Depending on whether heating or cooling is required in the building 10, the working fluid can be heated in the boiler 104 or cooled in the chiller 102. The boiler 104 can add heat to the circulating fluid, for example, by burning a combustible material (e.g., natural gas) or using an electric heating element. The chiller 102 can place the circulating fluid in a heat exchange relationship with another fluid (e.g., a refrigerant) in a heat exchanger (e.g., an evaporator) to absorb heat from the circulating fluid. The working fluid from the chiller 102 and / or the boiler 104 can be delivered to the AHU 106 via a line 108.

[0116] The AHU 106 may place the working fluid in heat exchange relationship with an airflow passing through the AHU 106 (e.g., via one or more stages of cooling coils and / or heating coils). For example, the airflow may be outdoor air, return air from within the building 10, or a combination of both. The AHU 106 may transfer heat between the airflow and the working fluid to provide heating or cooling to the airflow. For example, the AHU 106 may include one or more fans or blowers configured to pass the airflow through or through a heat exchanger containing the working fluid. The working fluid may then be returned to the chiller 102 or the boiler 104 via the conduit 110.

[0117] The air side system 130 can deliver the airflow supplied by the AHU 106 (i.e., the supply airflow) to the building 10 via the supply duct 112, and can provide the return air from the building 10 to the AHU 106 via the return duct 114. In some embodiments, the air side system 130 includes a plurality of variable air volume (VAV) units 116. For example, the air side system 130 is shown as including a separate VAV unit 116 on each floor or zone of the building 10. The VAV unit 116 may include a damper or other flow control element that can operate to control the amount of supply airflow provided to each zone of the building 10. In other embodiments, the air side system 130 (e.g., via the supply duct 112) delivers the supply airflow to one or more zones of the building 10 without using an intermediate VAV unit 116 or other flow control element. The AHU 106 may include various sensors (e.g., temperature sensors, pressure sensors, etc.) configured to measure properties of the supply airflow. The AHU 106 may receive input from sensors located within the AHU 106 and / or within the building zone and may adjust the flow rate, temperature, or other properties of the supply airflow through the AHU 106 to achieve set point conditions for the building zone.

[0118] Reference now Figure 2, a block diagram of a building automation system (BAS) 200 is shown according to an exemplary embodiment. The BAS 200 can be implemented in a building 10 to automatically monitor and control various building functions. The BAS 200 is shown to include a BAS controller 202 and a building subsystem 228. The building subsystem 228 is shown to include a building electrical subsystem 234, an information and communication technology (ICT) subsystem 236, a security subsystem 238, an HVAC subsystem 240, a lighting subsystem 242, an elevator / escalator subsystem 232, and a fire safety subsystem 230. In various embodiments, the building subsystem 228 may include fewer, additional, or alternative subsystems. For example, the building subsystem 228 may also or alternatively include a refrigeration subsystem, an advertising or signage subsystem, a cooking subsystem, a vending subsystem, a printer or copy service subsystem, or any other type of building subsystem that uses controllable devices and / or sensors to monitor or control the building 10. In some embodiments, the building subsystem 228 includes a water side system and / or an air side system. Further reference is made to U.S. Patent Application No. 15 / 631,830 filed on June 23, 2017, which is incorporated herein by reference in its entirety, for describing the waterside system and the airside system.

[0119] Each of the building subsystems 228 may include any number of devices, controllers, and connections for performing its respective functions and control activities. The HVAC subsystem 240 may include many of the same components as the HVAC system 100, as described with reference to FIG. Figure 1 As described. For example, HVAC subsystem 240 may include chillers, boilers, any number of air handling units, economizers, field controllers, supervisory controllers, actuators, temperature sensors, and other devices for controlling temperature, humidity, airflow, or other variable conditions within building 10. Lighting subsystem 242 may include any number of lighting fixtures, ballasts, lighting sensors, dimmers, or other devices configured to controllably adjust the amount of light provided to a building space. Security subsystem 238 may include occupancy sensors, video surveillance cameras, digital video recorders, video processing servers, intrusion detection devices, access control devices and servers, or other security-related devices.

[0120] Still reference Figure 2, the BAS controller 202 is shown to include a communication interface 207 and a BAS interface 209. The interface 207 may facilitate communication between the BAS controller 202 and external applications (e.g., monitoring and reporting applications 222, enterprise control applications 226, remote systems and applications 244, applications resident on client devices 248, etc.) for allowing user control, monitoring, and adjustment of the BAS controller 202 and / or subsystems 228. The interface 207 may also facilitate communication between the BAS controller 202 and client devices 248. The BAS interface 209 may facilitate communication between the BAS controller 202 and building subsystems 228 (e.g., HVAC, lighting security, elevators, power distribution, services, etc.).

[0121] Interfaces 207, 209 may be or include wired or wireless communication interfaces (e.g., sockets, antennas, transmitters, receivers, transceivers, wire connectors, etc.) for data communication with building subsystems 228 or other external systems or devices. In various embodiments, communication via interfaces 207, 209 may be direct communication (e.g., local wired or wireless communication) or via a communication network 246 (e.g., WAN, Internet, cellular network, etc.). For example, interfaces 207, 209 may include an Ethernet card and port for sending and receiving data via an Ethernet-based communication link or network. In another example, interfaces 207, 209 may include a Wi-Fi transceiver for communicating via a wireless communication network. In another example, one or both of interfaces 207, 209 may include a cellular or mobile phone communication transceiver. In one embodiment, communication interface 207 is a power line communication interface, and BAS interface 209 is an Ethernet interface. In other embodiments, both communication interface 207 and BAS interface 209 are Ethernet interfaces or the same Ethernet interface.

[0122] Still reference Figure 2 , the BAS controller 202 is shown to include a processing circuit 204, which includes a processor 206 and a memory 208. The processing circuit 204 can be communicatively connected to the BAS interface 209 and / or the communication interface 207, so that the processing circuit 204 and its various components can send and receive data through the interfaces 207, 209. The processor 206 can be implemented as a general-purpose processor, an application-specific integrated circuit (ASIC), one or more field programmable gate arrays (FPGA), a group of processing components, or other suitable electronic processing components.

[0123] Memory 208 (e.g., memory, memory unit, storage device, etc.) may include one or more devices (e.g., RAM, ROM, flash memory, hard disk storage device, etc.) for storing data and / or computer code for completing or facilitating the various processes, layers, and modules described in this application. Memory 208 may be or include volatile memory or non-volatile memory. Memory 208 may include a database component, object code component, script component, or any other type of information structure for supporting the various activities and information structures described in this application. According to an exemplary embodiment, memory 208 is communicatively connected to processor 206 via processing circuit 204 and includes computer code for executing one or more processes described herein (e.g., by processing circuit 204 and / or processor 206).

[0124] In some embodiments, the BAS controller 202 is implemented in a single computer (e.g., a server, a house, etc.). In various other embodiments, the BAS controller 202 may be distributed across multiple servers or computers (e.g., may exist in dispersed locations). Figure 2 The applications 222 and 226 are shown as existing external to the BAS controller 202 , but in some embodiments, the applications 222 and 226 may be hosted within the BAS controller 202 (eg, within the memory 208 ).

[0125] Still reference Figure 2 , the memory 208 is shown to include an enterprise integration layer 210, an automated measurement and verification (AM&V) layer 212, a demand response (DR) layer 214, a fault detection and diagnostics (FDD) layer 216, an integrated control layer 218, and a building subsystem integration layer 220. The layers 210-220 are configured in some embodiments to receive inputs from the building subsystems 228 and other data sources, determine optimal control actions for the building subsystems 228 based on the inputs, generate control signals based on the optimal control actions, and provide the generated control signals to the building subsystems 228. The following paragraphs describe some of the common functions performed by each of the layers 210-220 in the BAS 200.

[0126] The enterprise integration layer 210 can be configured to provide information and services to clients or local applications to support a variety of enterprise-level applications. For example, the enterprise control application 226 can be configured to provide subsystem cross-control to a graphical user interface (GUI) or to any number of enterprise-level business applications (e.g., billing system, user identification system, etc.). The enterprise control application 226 can also or alternatively be configured to provide a configuration GUI for configuring the BAS controller 202. In some other embodiments, the enterprise control application 226 can work with the layers 210-220 to optimize building performance (e.g., efficiency, energy usage, comfort, or safety) based on input received at the interface 207 and / or the BAS interface 209.

[0127] The building subsystem integration layer 220 may be configured to manage communications between the BAS controller 202 and the building subsystems 228. For example, the building subsystem integration layer 220 may receive sensor data and input signals from the building subsystems 228 and provide output data and control signals to the building subsystems 228. The building subsystem integration layer 220 may also be configured to manage communications between the building subsystems 228. The building subsystem integration layer 220 translates communications (e.g., sensor data, input signals, output signals, etc.) across multi-vendor / multi-protocol systems.

[0128] The demand response layer 214 may be configured to optimize resource usage (e.g., electricity usage, natural gas usage, water usage, etc.) and / or the monetary cost of such resource usage in response to meeting the demand of the building 10. The optimization may be based on time-of-use prices, curtailment signals, energy availability, or other data received from a utility provider, a distributed energy generation system 224, from an energy storage device 227, or from other sources. The demand response layer 214 may receive inputs from other layers of the BAS controller 202 (e.g., a building subsystem integration layer 220, an integrated control layer 218, etc.). The inputs received from other layers may include environmental or sensor inputs, such as temperature, carbon dioxide levels, relative humidity levels, air quality sensor outputs, occupancy sensor outputs, room schedules, etc. The inputs may also include inputs from the utility, such as electricity usage (e.g., expressed in kWh), heat load measurements, pricing information, scheduled pricing, smoothed pricing, curtailment signals, etc.

[0129] According to an exemplary embodiment, the demand response layer 214 includes control logic for responding to the data and signals it receives. These responses may include communicating with the control algorithms in the integrated control layer 218 in a controlled manner, changing control strategies, changing set points, or activating / deactivating building equipment or subsystems. The demand response layer 214 may also include control logic configured to determine when to utilize stored energy. For example, the demand response layer 214 may determine to begin using energy from the energy storage device 227 just before the start of the peak usage hour.

[0130] In some embodiments, the demand response layer 214 includes control modules configured to proactively initiate control actions (e.g., automatically change set points) based on one or more demand-indicative or demand-based inputs (e.g., price, curtailment signal, demand level, etc.), which can minimize energy costs. In some embodiments, the demand response layer 214 uses equipment models to determine an optimal set of control actions. The equipment model can include, for example, a thermodynamic model that describes the inputs, outputs, and / or functions performed by various groups of building equipment. The equipment model can represent a collection of building equipment (e.g., sub-equipment, an array of chillers, etc.) or an individual device (e.g., an individual chiller, heater, pump, etc.).

[0131] The demand response layer 214 may further include or be mapped to one or more demand response strategy definitions (e.g., a database, XML file, etc.). The strategy definitions may be edited or adjusted by a user (e.g., via a graphical user interface) so that the control actions initiated in response to a demand input may be customized for the user's application, desired comfort level, specific building equipment, or based on other issues. For example, a demand response strategy definition may specify which devices may be turned on or off in response to a particular demand input, how long a system or piece of equipment should be off, which set points may be changed, what is the allowable set point adjustment range, how long a high demand set point is maintained before returning to a normally scheduled set point, how close to a capacity limit, which equipment modes are utilized, energy transfer rates to and from an energy storage device (e.g., a thermal storage tank, a battery bank, etc.) (e.g., maximum rate, alarm rate, other rate boundary information, etc.), and when to dispatch on-site energy generation (e.g., via a fuel cell, an electric generator set, etc.).

[0132] The integrated control layer 218 may be configured to use data inputs or outputs from the building subsystem integration layer 220 and / or the demand response layer 214 to make control decisions. Due to the subsystem integration provided by the building subsystem integration layer 220, the integrated control layer 218 may integrate the control activities of the subsystems 228 so that the subsystems 228 behave as a single integrated super-system. In an exemplary embodiment, the integrated control layer 218 includes control logic that uses inputs and outputs from the building subsystems to provide greater comfort and energy savings relative to the comfort and energy savings that the individual subsystems can provide alone. For example, the integrated control layer 218 may be configured to use inputs from a first subsystem to make energy saving control decisions for a second subsystem. The results of these decisions may be transmitted back to the building subsystem integration layer 220.

[0133] The integrated control layer 218 is shown as being logically located below the demand response layer 214. The integrated control layer 218 can be configured to enhance the effectiveness of the demand response layer 214 by enabling the building subsystems 228 and their corresponding control loops to be controlled in coordination with the demand response layer 214. This configuration can reduce disruptive demand response behavior compared to conventional systems. For example, the integrated control layer 218 can be configured to ensure that a demand response-driven upward adjustment to the set point of the chilled water temperature (or another component that directly or indirectly affects the temperature) does not result in an increase in fan energy (or other energy used to cool the space) that would otherwise cause the total building energy use to be greater than the energy saved at the chiller.

[0134] The integrated control layer 218 may be configured to provide feedback to the demand response layer 214 so that the demand response layer 214 checks whether constraints (e.g., temperature, lighting levels, etc.) are properly maintained even when required load shedding is in progress. Constraints may also include set points or sensed boundaries related to safety, equipment operating limits and performance, comfort, fire codes, electrical codes, energy codes, etc. The integrated control layer 218 is also logically located below the fault detection and diagnostics layer 216 and the automated measurement and verification layer 212. The integrated control layer 218 may be configured to provide calculated inputs (e.g., summaries) to these higher levels based on outputs from more than one building subsystem.

[0135] The automated measurement and verification (AM&V) layer 212 can be configured to verify that the control strategies commanded by the integrated control layer 218 or the demand response layer 214 are working properly (e.g., using data aggregated by the AM&V layer 212, the integrated control layer 218, the building subsystem integration layer 220, the FDD layer 216, or other layers). The calculations performed by the AM&V layer 212 can be based on the building system energy model and / or equipment model for each BAS device or subsystem. For example, the AM&V layer 212 can compare the output predicted by the model with the actual output from the building subsystem 228 to determine the accuracy of the model.

[0136] The fault detection and diagnostics (FDD) layer 216 may be configured to provide continuous fault detection for the building subsystems 228, building subsystem devices (i.e., building equipment), and control algorithms used by the demand response layer 214 and the integrated control layer 218. The FDD layer 216 may receive data input from the integrated control layer 218, directly from one or more building subsystems or devices, or from another data source. The FDD layer 216 may automatically diagnose and respond to detected faults. The response to a detected or diagnosed fault may include providing a warning message to a user, a maintenance scheduling system, or a control algorithm configured to attempt to repair the fault or resolve the fault.

[0137] The FDD layer 216 can be configured to use the detailed subsystem inputs available at the building subsystem integration layer 220 to output a specific identification of the faulty component or a cause of the fault (e.g., a loose damper linkage). In other exemplary embodiments, the FDD layer 216 is configured to provide a "fault" event to the integrated control layer 218, which executes control strategies and policies in response to the received fault event. According to exemplary embodiments, the FDD layer 216 (or strategies executed by the integrated control engine or business rules engine) can shut down the system or direct control activities around the faulty device or system to reduce energy waste, extend equipment life, or ensure appropriate control response.

[0138] The FDD layer 216 can be configured to store or access a variety of different system data repositories (or data points of live data). The FDD layer 216 can use some of the contents of the data repository to identify faults at the equipment level (e.g., a specific chiller, a specific AHU, a specific terminal unit, etc.) and use other contents to identify faults at the component or subsystem level. For example, the building subsystem 228 can generate time (i.e., time series) data indicating the performance of the BAS200 and its various components. The data generated by the building subsystem 228 may include measured or calculated values ​​that exhibit statistical properties and provide information about how the corresponding system or process (e.g., a temperature control process, a flow control process, etc.) performs based on errors from its set points. These processes can be checked by the FDD layer 216 to expose when the performance of the system begins to degrade, and alert the user to repair the fault before it becomes more serious.

[0139] Reference now Figure 3 , according to an exemplary embodiment, a system 300 for planning sustainability optimization of a building is shown. The system 300 includes a classification and planning system 302, which is configured to interact with a user via a user device 318. The system 300 also includes an energy bill retrieval system 304, which is configured to retrieve an energy bill for the building. The system 300 also includes a building audit system 306, which is configured to collect and aggregate audit data for the building. The system 300 also includes a demand-side data system 308, which is configured to collect demand-related data from various building subsystems of the building.

[0140] Furthermore, the system 300 includes a field supply data system 310 configured to collect data about a field supply system of a building. Furthermore, the system 300 includes a sustainability advisor 320 configured to present sustainability-related optimization results to a user via a user device 318. The system 300 includes an optimization system 322 configured to run optimizations that can identify optimal building renovation decisions, building improvements, and / or operational plans.

[0141] In some embodiments, the components of system 300 can be run on one or more processors as instructions. Instructions can be stored in various memory devices. The processor can be a processor 326-338 and the memory device can be a memory device 340-352. Processor 326-338 can be implemented as a general-purpose processor, an application-specific integrated circuit (ASIC), one or more field programmable gate arrays (FPGA), a group of processing components or other suitable electronic processing components. Memory devices 340-352 (e.g., memory, memory unit, storage device, etc.) may include one or more devices (e.g., RAM, ROM, flash memory, hard disk storage, etc.) for storing data and / or computer codes for completing or facilitating the various processes, layers and modules described in this application. Memory devices 340-352 may be or include volatile memory and / or non-volatile memory.

[0142] The memory devices 340-352 may include object code components, script components, or any other type of information structure for supporting the various activities and information structures described in this application. According to some embodiments, the memory 406 is communicatively connected to the processors 326-338 and may include computer code for one or more processes for performing the functions described herein (e.g., by the processors 326-338).

[0143] System 300 includes a data storage device 324. The data storage device 324 can be a database, a data warehouse, a data lake, a data lake warehouse, etc. The data storage device 324 can store raw data, aggregated data, annotated data, formatted data, etc. The data storage device 324 can act as a repository for all data collected from the classification and planning system 302, the energy bill retrieval system 304, the building audit system 306, the demand side data system 308, the field supply data system 310, the sustainability advisor 320, the optimization system 322, and / or any other system. In some embodiments, the data storage device 324 can be a digital twin. In some embodiments, the digital twin can be a graph data structure. The digital twin can be a digital twin described with reference to U.S. Patent Application No. 17 / 134,664 filed on December 28, 2020.

[0144] The classification and planning system 302 may provide one or more user interfaces to a user via a user device 318. The user interface may allow a user to interact and provide various information describing a building while the building is in the design phase and / or during an introductory phase when a user first registers with the system 300 to begin sustainability planning for their building. The classification and planning system 302 may receive facility data 312, sustainability goals 314, and / or utility access data 316. The facility data 312 may describe a building facility, such as providing a name for the facility or campus, identifying the number of buildings in the facility or campus, identifying the purpose of each building, including a name for each building, indicating a campus layout, indicating a building size, indicating a building area, indicating a campus square footage, indicating a geographic location, and the like.

[0145] The classification and planning system 302 may receive sustainability goals 314 from a user device 318. The sustainability goals 314 may be customer goals for their buildings regarding energy reduction, carbon creation, carbon footprint, water reduction, switching to renewable energy, purchasing a certain number of renewable energy credits, and the like. These goals may include target levels for energy consumption, carbon production, net zero carbon emissions, renewable energy, and the like. These goals may also include timelines for each target level. For example, a timeline may be a period of time in the future, such as days, weeks, months, years, decades, and the like. The timeline may indicate a target date. For example, a timeline may be that a building achieves energy independence within the next forty years, or that a building reaches a net zero carbon emissions level within the next twenty-five years. In some embodiments, the timeline for the sustainability goal may be returned to the user via the user device 318, with recommendations for meeting certain goals, such as, for example, a recommendation may be to extend the recommendation by five years (e.g., to 25 years) to reach a certain carbon emissions level, which is more financially feasible than trying to reach the carbon emissions level within 20 years.

[0146] Reference now Figure 4, the energy bill retrieval system 304 of the sustainability optimization system 300, according to an exemplary embodiment, the energy bill retrieval system retrieves the utility bill of the building. The energy bill retrieval system 304 can be configured to retrieve utility access data 316 from the data storage device 324 via a data storage interface 404. The bill can be an electricity bill, a natural gas bill, a water bill, etc. The data storage interface 404 can be an interface that is integrated with the data storage device 324 via an application programming interface (API) or otherwise exposed and API to an external system. The utility interface 410 can receive the utility access data 316 and retrieve the utility bill from the utility system 402 based on the utility access data 316. The utility access data 316 may include a user name, login credentials, an email address, an access code, an account number, the name of an energy provider, etc.

[0147] In some embodiments, utility interface 410 may be integrated with utility system 402 via utility access data 316. Utility bills may include electricity consumption, water consumption, gas consumption, solar power consumption, wind turbine power consumption, and utility interface 410 may provide the energy bill to utility bill and sustainability analyzer 408. Analyzer 408 may run various analyses on the utility bill.

[0148] For example, the analyzer 408 can identify invoice data, perform an audit of utility bill data, and / or perform analysis on energy rates and / or energy billing (e.g., environmental penalties for various forms of energy). The analyzer 408 can identify a building's energy consumption baseline, identify a benchmark for the building (e.g., compare the building's baseline to other peer buildings or industries to determine a benchmark index), determine facility key performance indicators (KPIs), etc.

[0149] The analyzer 408 may identify sustainability data, such as a carbon emissions baseline for the building (e.g., carbon emissions generated by natural gas or carbon emissions from electricity consumption), a sustainability benchmark (e.g., a peer comparison of the building's emissions baselines with other buildings), renewable energy usage tracking, etc. The analyzer 408 may generate a sustainability report (e.g., an indication between baseline emissions and current emissions to illustrate sustainability tracking), a management and verification (M&V) report, etc. The result of the analysis performed by the analyzer 408 may be a utility data output 406, which may be stored in the data storage device 324 by the data storage interface 404. In some embodiments, the M&V report may illustrate the savings between the baseline and the improvement of the building. For example, the M&V report may indicate the reduction in carbon emissions (compared to the baseline) caused by a particular FIM.

[0150] Reference now Figure 5 , according to an exemplary embodiment, a building audit system 306 of the system 300 is shown, the facility audit system 306 being configured to collect building data for a building via an audit. The building audit system 306 includes a data storage interface 502 that can be the same as or similar to the data storage interface 404. The interface 504 can retrieve facility data 312 from the data storage device 324. The facility data 312 can be provided to the facility audit system 508. In addition, a user can provide facility access information 510 (e.g., key codes, registration details, access directions, etc.) to the facility audit system 508 via a user device 318. The facility audit system 508 can receive audit details from an auditor who visits the physical building and record information about the building.

[0151] Based on the audit data collected by the auditor and provided to the facility audit system 508, the facility audit system 508 can compile a facility asset report 506. The facility asset report can include information such as a detailed facility description. The facility description can identify each room, area, and / or floor of the building and indicate the square footage and / or ceiling height of each area of ​​the building. The report 506 can include an equipment list. The equipment list can indicate the number, brand, model, etc. of each piece of equipment in the building. For example, the number and type of chillers in the building can be indicated in the report 506. In addition, a maintenance log of all maintenance operations for the equipment list can be included in the report 506. In addition, the report 506 can include photos of all the various pieces of equipment in the building. The report 506 can also include building envelope information. The results of all audit outputs of the system 508, including the facility asset report 506, can be stored in the data storage device 324 via the data storage interface 502.

[0152] Reference now Figure 6, a demand-side data system 308 of system 300, according to an exemplary embodiment, is configured to collect building system and operational data from a building and calculate energy metrics, carbon metrics, operational metrics, and facility improvement measures (FIMs) for the building. System 308 can retrieve facility audit data 604, sustainability goals 606, and / or utility data 608 from a data storage device 324 via a data storage interface 602. The data storage interface 602 can be the same or similar to the data storage interface 404. A demand-side analyzer 610 can receive data 602-608. In addition, the demand-side analyzer 610 can receive building system and / or operational data 616 from a building system 618. The building system and / or operational data 616 can be metadata for a building system, operational settings for a building system, operating time data for a building system, energy usage for a building system 618, and the like. The building system 618 can be a fire safety system, an ambient cooling system, an ambient heating system, a ventilation system, a lighting system, and the like. The building system 618 can be a reference Figure 1 and Figure 2 Describe the system.

[0153] The demand-side analyzer 610 may run an analysis based on the demand-related data 602-608 and the building systems and / or operational data 616. The analyzer 610 may generate a report 612. The report 612 may indicate an energy breakdown and / or a carbon breakdown of the building's demand-related systems (e.g., systems that consume energy). The report 612 may indicate energy consumption levels and / or carbon emission levels for the building's cooling system, the building's heating system, the building's lighting system, and the like. The energy consumption levels and / or carbon emission levels may attribute a portion (e.g., a percentage) of the total building energy consumption and / or carbon emission to a particular piece of equipment, equipment subsystem, subsystem type, building operation mode (heating or cooling), and the like.

[0154] The analyzer 610 can further identify facility improvement measures (FIMs) for improving and / or reducing the energy use and / or carbon emissions of the building. The FIM can replace the boiler with a newer energy-efficient boiler, which will cause a specific reduction in energy consumption and / or carbon emissions. In addition, the analyzer 610 can identify operational improvements, such as reducing the temperature set point by one degree Fahrenheit during heating within a specific time period to cause a specific energy reduction and / or carbon emissions generation. The report 612 can include a savings report. The report 612 can be provided to the interface 602 as a demand-side data output 614. The interface 602 can store the output 614 in the data storage device 324. In some embodiments, if the demand-side data system 308 is unable to pull data from the building system 618, the building audit system 306 retrieves the data (e.g., via a manual report such as from a building manager, or via other methods).

[0155] Reference now Figure 7 , shows a field supply data system 310, which is configured to collect data about a field energy supply system of a building according to an exemplary embodiment. The field supply data system 310 may include a data storage interface 702 configured to retrieve data from a data storage device 324, such as a sustainability goal 314 determined by the system 304 and / or utility data 704. The interface 702 may be used with reference to Figure 4 The described interface 404 is similar or identical.

[0156] The field supply analyzer 706 can analyze the utility data 704 and / or the sustainability goals 314 to determine a field supply report 708, which can be stored in the data storage device 324 as a field-generated data output 710 via the interface 702. The analyzer 706 can analyze the utility data 704 and / or the sustainability goals 314 to identify opportunities to reduce energy use and / or carbon emissions through a field energy supply system (e.g., solar panels, wind power, hydroelectric dams, rechargeable batteries, etc.). The analyzer 708 can identify opportunities to shift power consumption from the energy grid to the field energy supply system.

[0157] Report 708 may include results of the analysis of solar photovoltaic (PV) cells, fuel cells, energy storage devices, etc. Report 708 may further indicate renewable energy reports, such as reports on opportunities to shift the building's energy consumption to on-site renewable energy sources. Report 708 may further indicate energy cost savings, such as how much energy cost savings would be obtained if solar PV cells were installed in the building. In addition, report 708 may indicate sustainability data, such as how much carbon savings or carbon generation would be obtained by consuming different amounts of energy from on-site PV cells, on-site wind turbines, etc.

[0158] Reference now Figure 8 , shows a sustainability advisor 320 and an optimization system 322 according to an exemplary embodiment, the sustainability advisor 320 being configured to provide sustainability data to a user and receive input from the user, and the optimization system 322 being configured to run a sustainability optimization for a building. The sustainability advisor 320 is configured to retrieve data from a data storage device 324 (e.g., reference Figures 3 to 7 The sustainability adviser 320 may be configured to manage a user portal 802 that may provide various information to the user and receive input from the user.

[0159] The user portal 802 may interact with the user by causing the user device 318 to display various user interfaces with information about cost improvements, energy reduction improvements, and / or carbon emission reduction improvements for the building. The information displayed in the user portal 802 may be based on the results of the optimizations run by the optimization system 322. The portal 802 may provide the user with various reports and / or recommendations (e.g., recommended FIMs, recommendations to purchase renewable energy credits (RECs), recommendations to adopt updated control strategies, etc.) for planning the construction, renovation, and / or operation of the building to meet one or more sustainability goals.

[0160] The project adviser 804 may allow a user to review, define and / or update a project. A project may be for a particular building and / or planned sustainability of a building. The adviser 804 may allow a user to set and / or update their sustainability goals. Additionally, the adviser 804 may allow a user to review their progress in meeting the sustainability goals for their project.

[0161] The sustainability planner 806 can provide a plan for meeting the sustainability goals of a particular project. The plan generated by the sustainability planner 806 can be based on the optimization run by the optimization system 322. In some embodiments, the plan generated by the sustainability planner 806 can be a plan for a time frame, such as a thirty-year plan, a twenty-year plan, etc. The plan can provide steps for meeting the user's sustainability goals. These steps can indicate which equipment modifications should be performed at the current time or at a specific time in the future, how many RECs should be purchased each year or every ten years, which control schemes should be adopted, etc. Over time, the sustainability planner 806 can update the sustainability plan based on new optimizations run by the optimization system 322. This can keep the plan on track to meet the goals as the environment or technology changes, and allow users to meet their goals in a more cost-effective manner. The planner 806 can generate a plan based on the sustainability planning data 814.

[0162] The sustainability tracker 808 can track the progress of the building in meeting various sustainability goals. In some embodiments, the sustainability tracker 808 can retrieve operational building data from the data storage device 324, retrieve energy bills from the data storage device 324, retrieve receipts for REC purchases from the data storage device 324, and the like. The sustainability tracker 808 can identify the level of carbon emissions of the building at various different times in the past and / or present. The sustainability tracker 808 can identify the level of renewable energy consumed by the building at past and / or present times. In addition, the sustainability tracker 808 can identify the level of energy consumed by the building at past and / or present times. The sustainability tracker 808 can provide the user with historical trends of the building's sustainability progress toward one or more sustainability goals.

[0163] The user portal 802 includes a sustainability reporter 810. A sustainability report generator 804 may generate various reports indicating sustainability information for a building. The report may indicate a construction plan, a renovation plan, and / or an operation plan for the building, such as the amount of energy consumed from various different energy sources, an indication of RECs to be purchased, an indication of equipment modifications, an indication of physical building modifications (e.g., energy-efficient windows, energy-efficient insulation, etc.), an indication of new equipment installation (e.g., on-site PV cells, on-site wind turbines, etc.). The report generated by the generator 804 may indicate how the plan meets one or more sustainability, energy efficiency, and / or financial goals of the user. The reporter 810 may include a summary report of the sustainability plan for the building. The reporter 810 may compile reports based on data generated by components 804-808.

[0164] The sustainability planning data 814 includes planning data that can be used to run the optimization system 322. The planning data 814 can indicate various goals and / or expectations of the user. The optimization run by the optimization system 322 can use the planning data 814 as constraints for the optimization, such as running an optimization that results in a plan that meets or exceeds the various goals and / or expectations. In some embodiments, the optimization can find a sustainability plan for a building that meets the various sustainability goals of the user at a minimum financial cost.

[0165] Sustainability planning data 814 may be or may be based on sustainability goals 314. Timeline 816 may indicate the length of time that the user wants the building to meet various goals (e.g., goals 818-824). Renewable power generation goals 818 indicate the level of energy consumption of the building that the user wants to be generated from renewable energy (e.g., solar, wind, etc.). Demand side reduction goals 820 may indicate goals for demand side systems, such as that the demand side systems are energy efficient (e.g., the building's lighting system includes energy-saving light bulbs). Sustainability goals 822 may be goals that the building's operations produce a certain level of carbon emissions, net zero emissions goals, etc. Financial goals 824 may indicate financial goals for the building, such as annual energy costs, monthly energy costs, etc.

[0166] The optimization parameters 826 include demand-side parameters 828 related to the energy demand of the building. The demand-side parameters 828 may indicate different types of building equipment modifications, building equipment maintenance operations, new building equipment installations, building equipment replacements, etc. The demand-side parameters 828 may indicate actions that may be taken to modify, change, and / or update the demand-side equipment of the building. The parameters 828 may further be related to renewable energy generation, carbon emissions, energy usage, etc.

[0167] Renewable energy generation 830 may indicate parameters for installing renewable energy generation equipment at the building. Parameters 830 may further indicate energy consumption distribution between external power generation systems (e.g., coal power generation, hydroelectric power generation, PV battery system, wind power generation system, etc.). Parameters 830 may be related to various levels of carbon emissions, financial costs, etc.

[0168] Parameters 826 include renewable energy credits 832. Renewable energy credits 832 can be various different types of RECs that can be purchased for the building. The parameters can indicate the reduction in carbon emissions resulting from the purchase of the RECs and / or the financial return generated by the RECs sold by the building. For example, in some embodiments, if the building includes on-site renewable energy generation, the building can sell RECs. In addition, parameters 826 include a virtual power purchase agreement 834, which can identify an agreed price for renewable energy generation. The parameters can further indicate capital planning 837, such as planning for replacing, purchasing and / or repairing capital for the building (e.g., lighting for the building, conference rooms for the building, audio-visual systems, insulation for the building, chillers for the building, AHUs for the building, etc.).

[0169] The optimization system 322 may include a model service 836. The service 836 may include a marginal cost of carbon 838. The marginal cost of carbon 838 may indicate how much carbon emissions will be generated by the amount of energy consumed next by the building. The marginal cost of carbon may be calculated for external utility services and / or the on-site energy generation system of the building. The marginal cost of carbon may be identified from various energy bills and / or operational decisions of the building. In some embodiments, the marginal cost of carbon may be based on the optimization parameters 826. The carbon optimizer 840 may run an optimization of the decision to identify the parameters 826 that produce a specific level of carbon emissions. The optimization may run for one year, five years, ten years into the future, etc. The optimization may be run to slowly reduce carbon emissions by a specific level each year so as to meet a specific carbon emissions target in the future. The optimization may be run based on the sustainability goal 814 so that the decision for the parameter 826 meets the goal 814.

[0170] In some embodiments, the optimization performed by the optimization system 322 may be based on Fig. 9 and Fig.10 This optimization can be used to Fig. 9 and Fig.10 In addition, the optimization of the optimization system 322 can be based on and / or can utilize the techniques described in U.S. Patent Application No. 16 / 518,314 filed on July 22, 2019, the entire contents of which are incorporated herein by reference.

[0171] Reference now Fig. 9, a block diagram of a planning system 900 is shown according to an exemplary embodiment. The planning system 900 can be configured to use an optimizer 930 as part of a planning tool 902 to simulate the operation of a central device over a predetermined time period (e.g., a day, a month, a week, a year, etc.) for planning, budgeting, and / or design considerations. The optimizer 930 can optimize to plan a building, for example, identifying construction decisions, renovation decisions, control planning, etc. The optimizer 930 can run optimizations to minimize carbon emissions, minimize energy consumption, minimize energy costs, maximize renewable energy use, etc. In some embodiments, in addition to sustainability-related features, the optimizer 930 can also consider building loads. For example, the optimizer 930 can use building loads and utility rates to determine the optimal resource allocation to minimize costs within the simulation period. However, in some embodiments, the planning tool 902 may not be responsible for real-time control of the building management system or central devices, while in other embodiments, the planning tool 902 may provide real-time or near real-time control of the building management system or portions thereof to help achieve specific goals. In some implementations, the planning tool 902 can provide actionable insights or recommendations that are automatically implemented or automatically generated by the building management system upon user approval as changes to a building plan (eg, a building plan prior to construction).

[0172] The planning tool 902 may be configured to determine the return on investment in a battery asset and the financial indicators associated with the investment. Such financial indicators may include, for example, an internal rate of return (IRR), a net present value (NPV), and / or a simple payback period (SPP). The planning tool 902 may also assist the user in determining the size of the battery, which produces the best financial indicators such as maximum NPV or minimum SPP. In some embodiments, the planning tool 902 allows the user to specify the battery size and automatically determines the benefits of the battery asset participating in the selected IBDR project while performing PBDR. In some embodiments, the planning tool 902 is configured to determine the battery size that minimizes the SPP given the selected IBDR project and the requirements for performing PBDR. In some embodiments, the planning tool 902 is configured to determine the battery size that maximizes the NPV given the selected IBDR project and the requirements for performing PBDR.

[0173] In the planning tool 902, the high-level optimizer 932 can receive the planned load and utility rates for the entire simulation period. The planned load and utility rates can be defined by input received from a user via the client device 922 (e.g., user defined, user selected, etc.) and / or input retrieved from the planning information database 926. The high-level optimizer 932 uses the planned load and utility rates in conjunction with the sub-equipment curves from the low-level optimizer 934 to determine the optimal resource allocation (i.e., optimal dispatch schedule) for a portion of the simulation period. In some embodiments, the low-level optimizer 934 can receive the equipment model 920.

[0174] The portion of the simulation cycle over which the high-level optimizer 932 optimizes resource allocations can be defined by a forecast window that ends at a time range. With each iteration of the optimization, the forecast window moves forward, and the portion of the dispatch schedule that is no longer within the forecast window is accepted (e.g., stored or output as a simulation result). The load and rate forecasts can be predefined for the entire simulation and may not be adjusted at each iteration. However, moving the forecast window forward in time may introduce additional planning information (e.g., planned loads and / or utility rates) for the newly added time slices at the end of the forecast window. The new planning information may not have a significant impact on the optimal dispatch schedule because only a small portion of the forecast window changes with each iteration.

[0175] In some embodiments, the high-level optimizer 932 requests all sub-equipment curves used in the simulation from the low-level optimizer 934 at the beginning of the simulation. Since the planned load and environmental conditions for the entire simulation cycle are known, the high-level optimizer 932 can retrieve all relevant sub-equipment curves at the beginning of the simulation. In some embodiments, when the sub-equipment curves are provided to the high-level optimizer 932, the low-level optimizer 934 generates functions that map sub-equipment production to equipment-level production and resource usage. These sub-equipment-to-equipment functions can be used to calculate individual equipment production and resource usage based on the simulation results (e.g., in a post-processing module).

[0176] Still refer to Fig. 9, planning tool 902 is shown to include a communication interface 904 and a processing circuit 906. The communication interface 904 may include a wired or wireless interface (e.g., a jack, an antenna, a transmitter, a receiver, a transceiver, a terminal block, etc.) for communicating data with various systems, devices, or networks. For example, the communication interface 904 may include an Ethernet card and port for sending and receiving data via an Ethernet-based communication network and / or a WiFi transceiver for communicating via a wireless communication network. The communication interface 904 may be configured to communicate via a local area network or a wide area network (e.g., the Internet, a building WAN, etc.) and may use various communication protocols (e.g., BACnet, IP, LON, etc.).

[0177] The communication interface 904 may be a network interface configured to facilitate electronic data communication between the planning tool 902 and various external systems or devices (e.g., client devices 922, results database 928, planning information database 926, etc.). For example, the planning tool 902 may receive planned loads and utility rates from the client device 922 and / or the planning information database 926 via the communication interface 904. The planning tool 902 may use the communication interface 904 to output simulation results to the client device 922 and / or store the results in the results database 928.

[0178] Still refer to Fig. 9 , the processing circuit 906 is shown to include a processor 910 and a memory 912. The processor 910 may be a general or special purpose processor, an application specific integrated circuit (ASIC), one or more field programmable gate arrays (FPGA), a set of processing components, or other suitable processing components. The processor 910 may be configured to execute computer codes or instructions stored in the memory 912 or received from other computer readable media (e.g., CDROM, network storage device, remote server, etc.).

[0179] The memory 912 may include one or more devices (e.g., memory cells, memory devices, storage devices, etc.) for storing data and / or computer code to complete and / or facilitate the various processes described in the present disclosure. The memory 912 may include random access memory (RAM), read-only memory (ROM), hard drive storage, temporary storage, non-volatile memory, flash memory, optical storage, or any other suitable memory for storing software objects and / or computer instructions. The memory 912 may include a database component, an object code component, a script component, or any other type of structure for information that supports the various activities and information structures described in the present disclosure. The memory 912 may be communicatively connected to the processor 910 via the processing circuit 906 and may include computer code for executing (e.g., by the processor 910) one or more processes described herein.

[0180] Still refer to Fig. 9 , the memory 912 is shown to include a GUI engine 916, a web service 914, and a configuration tool 918. In an exemplary embodiment, the GUI engine 916 includes a graphical user interface component configured to provide a graphical user interface to a user for selecting or defining planning information (e.g., planning loads, utility rates, environmental conditions, etc.) for simulation. The web service 914 can allow a user to interact with the planning tool 902 via a web portal and / or from a remote system or device (e.g., an enterprise control application).

[0181] The configuration tool 918 may allow the user to define (e.g., via a graphical user interface, via a prompt-driven "wizard," etc.) various parameters of the simulation, such as the number and type of sub-devices, the devices within each sub-device, sub-device curves, device-specific efficiency curves, simulation duration, duration of the prediction window, duration of each time step, and / or various other types of planning information related to the simulation. The configuration tool 918 may present a user interface for building a simulation. The user interface may allow the user to graphically define simulation parameters. In some embodiments, the user interface allows the user to select pre-stored or pre-built simulation devices and / or planning information (e.g., from the planning information database 926) and adjust it or enable it to be used in the simulation.

[0182] Still refer to Fig. 9 , the memory 912 is shown to include an optimizer 930. The optimizer 930 can use the planned load and utility rates to determine the optimal resource allocation over the forecast window. With each iteration of the optimization process, the optimizer 930 can move the forecast window forward and apply the optimal resource allocation for the portion of the simulation cycle that is no longer in the forecast window. The optimizer 930 can use the new planning information to perform the next iteration of the optimization process at the end of the forecast window. The optimizer 930 can output the applied resource allocation to a reporting application 932 for presentation to the client device 922 (e.g., via the user interface 924) or stored in a results database 928.

[0183] Still refer to Fig. 9, the memory 912 is shown as including a reporting application 932. The reporting application 932 can receive the optimized resource allocation from the optimizer 930, and in some embodiments, receive the cost associated with the optimized resource allocation. The reporting application 932 may include a network-based reporting application having several graphical user interface (GUI) elements (e.g., widgets, dashboard controls, windows, etc.) for displaying key performance indicators (KPIs) or other information to the user of the GUI. In addition, the GUI elements can summarize the relative energy usage and intensity across various devices, sub-devices, etc. Other GUI elements or reports can be generated and displayed based on available data that allows the user to evaluate the simulation results. The user interface or report (or underlying data engine) can be configured to aggregate and classify the resource allocation and the costs associated therewith, and provide the results to the user via the GUI. The GUI elements may include a chart or histogram that allows the user to visually analyze the simulation results.

[0184] Reference now Fig.10 , a block diagram illustrating an asset sizing module 916 is shown in more detail, according to an exemplary embodiment. The asset sizing module 916 can be configured to determine the optimal size of various assets in a building, a group of buildings, or a central facility. As described above, assets can include single pieces of equipment (e.g., boilers, chillers, heat recovery chillers, steam generators, generators, thermal energy storage tanks, batteries, etc.), groups of equipment, or entire sub-equipment of a central facility. The asset size can include the maximum load of the asset (e.g., maximum power, maximum charge / discharge rate) and / or the maximum capacity of the asset (e.g., maximum stored electrical energy, maximum fluid storage, etc.).

[0185] In some embodiments, the asset size determination module 916 includes a user interface generator 1006. The user interface generator 1006 can be configured to generate a user interface for interacting with the asset size determination module 916. The user interface can be provided to a user device 1002 (e.g., a computer workstation, a laptop, a tablet, a smart phone, etc.) and presented via a local display of the user device 1002. In some embodiments, the user interface prompts the user to select one or more assets or asset types to be sized. The selected assets can include assets currently in the building or central equipment (e.g., existing assets that the user is considering upgrading or replacing) or new assets that are not currently in the building or central equipment (e.g., new assets that the user is considering purchasing). For example, if the user is considering adding a thermal energy storage device or an electrical energy storage device to a building or central equipment, the user can select "thermal energy storage device" or "battery" from the list of potential assets for sizing / assessment. The user interface generator 1006 can identify any assets selected via the user interface and provide an indication of the selected assets to the asset cost item generator 1008.

[0186] The asset cost item generator 1008 may be configured to generate one or more cost items representing the purchase cost of the asset being sized. In some embodiments, the asset cost item generator 1008 generates the following two asset cost items:

[0187]

[0188] where c f is a vector of fixed costs for purchasing assets of any size (e.g., one element for each potential asset purchase), v is a vector of binary decision variables indicating whether to purchase the corresponding asset, c s is a vector of marginal costs per unit of asset size (e.g., cost per unit of load, cost per unit of capacity), and s a is a vector of continuous decision variables corresponding to asset size. Advantageously, the binary purchase decisions in vector v and vector s a The asset size decision in can be viewed as a decision to be made with the enhanced cost function J a The decision variables x in (x) are optimized together with the other decision variables x, which will be described in more detail below.

[0189] It should be noted that the binary decision variables in vector v and vector s aThe values ​​of the continuous decision variables in indicate potential asset purchases and asset sizes, which can be evaluated by the asset size determination module 916 to determine whether such a purchase / size optimizes a given financial metric. The values ​​of these decision variables can be adjusted by the asset size determination module 916 as part of the optimization process and do not necessarily reflect the current set of assets actually purchased or installed in a building, group of buildings, or central facility. Throughout this disclosure, the asset size determination module 916 is described as "purchasing" various assets or asset sizes. However, it should be understood that these purchases are merely hypothetical. For example, the asset size determination module 916 may select a binary decision variable v for an asset and determine whether such a purchase / size optimizes a given financial metric. j Set to v j =1 to “purchase” the asset. This indicates that the asset is considered to be purchased within a specific hypothetical scenario, and the cost of the asset is included in the enhanced cost function J a Similarly, the asset size determination module 916 can be configured by transforming the binary decision variable v of the asset into j Set to v j =0 to choose not to purchase the asset. This indicates that the asset is considered not to be purchased within the specific hypothetical scenario, and the cost of the asset is not included in the enhanced cost function J a (x) in.

[0190] Additional cost items and Can be used to calculate the purchase cost of any number of new assets. For example, if only the size of a single asset is determined, then the vector c f A single fixed cost may be included (i.e., the fixed cost of purchasing an asset of any size under consideration), and v may include a single binary decision variable indicating whether the asset was purchased or not purchased (i.e., whether a fixed cost was incurred). The vector c s Can include a single marginal cost element, and s a A single continuous decision variable may be included that indicates the size of the asset to be purchased. If the asset has both a maximum load and a maximum capacity (ie, the asset is a storage device asset), then the vector c s It may include a first marginal cost per unit of load and a second marginal cost per unit of capacity. Similarly, the vector s a A first continuous decision variable indicating a maximum load size to be purchased and a second continuous decision variable indicating a maximum capacity size to be purchased may be included.

[0191] If multiple assets are being sized, then the vector c f 、v、c s and a Elements of each asset can be included. For example, the vector c fThe vector c may include a fixed purchase cost for each asset being sized, and v may include a binary decision variable indicating whether each asset is purchased. s May include marginal cost elements for each asset under consideration, and s a A continuous decision variable indicating the size of each asset to be purchased may be included. For any asset with both a maximum load and a maximum capacity, the vector c s Multiple marginal cost elements may be included (e.g., marginal cost per unit load size and marginal cost per unit capacity size), and the vector s a Multiple continuous decision variables may be included (e.g., the maximum load size to be purchased and the maximum capacity size to be purchased). By considering the purchase cost of the multiple assets in terms of their respective sizes, the cost term and Allows the high-level optimizer 932 to optimize multiple asset sizes simultaneously.

[0192] Still refer to Fig.10 , the asset size determination module 916 is shown to include a constraint generator 1010. The constraint generator 1010 can be configured to generate or update constraints on the optimization problem. As described above, the constraints prevent the high-level optimizer 932 from assigning a load that exceeds the maximum load of the asset to the asset. For example, the constraints can prevent the high-level optimizer 932 from assigning a cooling load that exceeds the maximum cooling load of the chiller to the chiller, or assigning a power set point that exceeds the maximum charge / discharge rate of the battery to the battery. These constraints can also prevent the high-level optimizer 932 from allocating resources in a manner that causes the storage device asset to exceed its maximum capacity or consume to below its minimum capacity. For example, the constraints can prevent the high-level optimizer 932 from charging a battery or thermal energy storage tank to above its maximum capacity or discharging to below its minimum stored electrical energy (e.g., below zero).

[0193] When the asset size is fixed, the load constraint can be written as follows:

[0194]

[0195] where x j,i,负载 is the load of asset j at time step i on the range, is the fixed maximum load of asset j, and N a is the total number of assets. Similarly, the capacity constraint can be written as follows:

[0196]

[0197] where x j,i,容量 is the capacity of asset j at time step i on the range, and is the fixed maximum capacity of asset j. However, these constraints assume that the maximum load of the asset and maximum capacity When the asset size is treated as an optimization variable, the maximum load and capacity of the asset can be a function of the size of the asset purchased in the optimization problem (i.e., represented by the vectors v and s a The size of the assets is defined by the values ​​of the binary decision variables and the continuous decision variables in ).

[0198] The constraint generator 1010 can be configured to update the load constraints to accommodate the variable maximum load of each asset being sized. In some embodiments, the constraint generator 1010 updates the load constraints to limit the maximum load of the asset to be less than or equal to the total size of the assets purchased in the optimization problem. For example, the constraint generator 1010 can transform the load constraints into the following:

[0199]

[0200] in is the load size of asset j (i.e., the continuous variable vector s a The jth load size element of j is a binary decision variable indicating whether asset j is purchased (i.e., the jth element of the binary variable vector v), and M j is a sufficiently large number. In some embodiments, the number M j is set to the maximum size of asset j that has been purchased. The first inequality in this set of constraints ensures that asset x j,i,负载 The load on the asset is not greater than the purchased asset The second inequality forces the optimization to pay the fixed costs of an asset before increasing the size of its load. In other words, asset j (i.e., v j =1), then the load size of asset j can be Increases to a non-zero value.

[0201] Similarly, the constraint generator 1010 can be configured to update the capacity constraint to accommodate the variable maximum capacity of each storage device asset being sized. In some embodiments, the constraint generator 1010 updates the capacity constraint to limit the capacity of the asset to between zero and the total capacity of the assets purchased in the optimization problem. For example, the constraint generator 1010 can transform the capacity constraint into the following:

[0202]

[0203] in is the capacity of asset j (i.e., the continuous variable vector s a The j-th capacity element of jis a binary decision variable indicating whether asset j is purchased (i.e., the jth element of the binary variable vector v), and M j is a sufficiently large number. In some embodiments, the number M j is set to the maximum size of asset j that has been purchased. The first inequality in this set of constraints ensures that asset x j,i,容量 The capacity at any time step i is zero and the amount of assets purchased The second inequality forces the optimization to pay the fixed cost of the asset before increasing its capacity. In other words, asset j (i.e., v j =1), and then the capacity of asset j can be Increases to a non-zero value.

[0204] The constraints generated or updated by the constraint generator 1010 may be applied to the optimization problem along with other constraints generated by the high-level optimizer 932. In some embodiments, the load constraints generated by the constraint generator 1010 replace the power constraints generated by the power constraint module 904. Similarly, the capacity constraints generated by the constraint generator 1010 may replace the capacity constraints generated by the capacity constraint module 906. However, the asset load constraints and capacity constraints generated by the constraint generator 1010 may be applied in conjunction with the switching constraints generated by the switching constraint module 908, the demand cost constraints generated by the demand cost module 910, and any other constraints applied by the high-level optimizer 932.

[0205] Still refer to Fig.10 , the asset size determination module 916 is shown to include a scaling factor generator 1012. The cost of purchasing an asset is typically paid over the duration of a payback period, referred to herein as a simple payback period (SPP). However, the original cost function J(x) may only capture the operating costs and benefits over an optimization period h, which is typically much shorter than the SPP. To convert the asset purchase cost and In combination with the original cost function J(c), it may be necessary to put the costs on the same time scale.

[0206] In some embodiments, the scaling factor generator 1012 generates a and The scaling factor can be used to convert the asset purchase cost into and Scaled to the duration of the optimization period h. For example, the scaling factor generator 1012 may and Multiply by ratio As shown in the following equation:

[0207]

[0208] Among them C 按比例 is the asset purchase cost scaled by the duration of the optimization period, h is the duration of the optimization period in hours, SPP is the duration of the payback period in years, and 8760 is the number of hours in a year.

[0209] In other embodiments, the scaling factor generator 1012 generates a scaling factor for the original cost function J(x). The scaling factor can be used to extrapolate the original cost function J(x) to the duration of the simple payback period SPP. For example, the scaling factor generator 1012 can multiply the original cost function J(x) by the ratio As shown in the following equation:

[0210]

[0211] Where J(x) 按比例 is a scaled cost function extrapolated to the duration of the simple payback period SPP, h is the duration of the optimization period in hours, SPP is the duration of the payback period in years, and 8760 is the number of hours in a year.

[0212] Still refer to Fig.10 , the asset size determination module 916 is shown to include a cost function enhancer 1014. The cost function enhancer 1014 can be configured to use the proportionally adjusted asset C 按比例 The original cost function J(x) is enhanced by the purchase cost of . The result is the enhanced cost function Ja(x), as shown in the following equation:

[0213]

[0214] Where h is the duration of the optimization period in hours, SPP is the duration of the payback period in years, and 8760 is the number of hours in a year.

[0215] The high-level optimizer 932 may perform an optimization process to determine for each binary decision variable in the vector v and the vector s a The optimal value of each continuous decision variable in . In some embodiments, the high-level optimizer 932 uses linear programming (LP) or mixed integer linear programming (MILP) to optimize financial indicators such as net present value (NPV), simple payback period (SPP), or internal rate of return (IRR). The vector c f 、v、c s and aEach element in may correspond to a specific asset and / or a specific asset size. Thus, the high-level optimizer 932 can be configured by identifying the binary decision variables in the vector v and the vector s a The optimal values ​​of the continuous decision variables in determine the best asset to purchase and the optimal size to purchase.

[0216] Still refer to Fig.10 , the asset size determination module 916 is shown to include a yield curve generator 1016. The yield curve generator 1016 can be configured to be based on the enhanced cost function J a (x) to generate a yield curve. In some embodiments, the yield curve indicates the relationship between the initial investment cost c0 of the asset (i.e., the cost of purchasing the asset) and the annual yield c obtained from the asset. For example, the yield curve can represent the initial investment cost c0 as a function of the annual yield C, as shown in the following equation:

[0217] C0=f(C)

[0218] Where both the initial investment cost c0 and the annual return C are functions of the asset size. Several examples of yield curves that can be generated by the yield curve generator 1016 are shown in Figures 12 to 15 (discussed in more detail below).

[0219] In some embodiments, the initial investment cost C0 is an enhancement cost function J a The term in (x) The return of an asset within the optimization range h can correspond to the term J(x) in the enhanced cost function Ja(x) and can be represented by the variable C h In some embodiments, the variable C h represents the difference between the first value of J(x) when the asset is not included in the optimization and the second value of J(x) when the asset is included in the optimization. The annual return C can be obtained by dividing the range C h The revenue in range C is extrapolated to the full year. h The benefits within a year can be extended to the full year as shown in the following equation:

[0220]

[0221] where h is the duration of the optimization horizon in hours, and 8760 is the number of hours in a year.

[0222] An increase in the size of an asset will increase both its initial cost C0 and the annual return c brought by the asset. However, beyond a certain asset size or initial asset cost C0, the return c of the asset will decrease. In other words, choosing a larger asset does not bring any increased returns. The yield curve indicates the relationship between C0 and c and can be used to find the asset size that optimizes a given financial indicator (e.g., SPP, NPV, IRR, etc.). Several examples of this optimization are described in detail below. In some embodiments, the yield curve generator 1016 provides the yield curve to the financial indicator optimizer 1020 for optimizing the financial indicator.

[0223] Still refer to Fig.10 , the asset size determination module 916 is shown to include a financial indicator optimizer 1020. The financial indicator optimizer 1020 can be configured to find an asset size that optimizes a given financial indicator. The financial indicator can be a net present value (NPV), an internal rate of return (IRR), a simple payback period (SPP) or any other financial indicator that can be optimized according to the asset size. In some embodiments, the financial indicator to be optimized is selected by the user. For example, the user interface generated by the user interface generator 1006 can prompt the user to select the financial indicator to be optimized. In other embodiments, the asset size determination module 916 can automatically determine the financial indicator to be optimized or can optimize multiple financial indicators at the same time (e.g., running a parallel optimization process).

[0224] Sustainability Manager

[0225] As described herein, system 300 may include sustainability advisor 320 and optimization system 322. In some embodiments, sustainability manager may perform functions similar to those of system 300. In some embodiments, system 300 and / or its components may perform functions similar to those of sustainability manager. In some embodiments, system 900 and / or its components may perform functions similar to those of sustainability manager.

[0226] The sustainability manager may display a user interface including a sustainability manager dashboard. In some embodiments, the sustainability dashboard may include an energy manager dashboard, a utility manager dashboard, a sustainability dashboard, a goals and targets dashboard, and / or an improvement measures dashboard.

[0227] In some embodiments, the sustainability manager may display a user interface to a user. A user may set one or more goals related to at least one of a business, a company, a corporate body, an office, a residential property (e.g., a house, an apartment, and a condominium), an entity, an organization, and / or a building. For example, a user may set one or more goals for a business. The business may have or include at least one location. The business may be a collection of locations and / or a combination of locations. The location may include at least one building. The goal may be established at least at one level of the business. In some embodiments, the goal may be established at at least one of a business level (e.g., a goal for the entire business), a location level (e.g., a specific location and / or campus for the business), and / or a building level (e.g., a single building for the business). A business level may be or include a business level, a collection of locations included in the business that create the business level, and / or a collection of buildings included in the business. The goal established at the business level may be or include at least one of a combined goal, a corporate goal, an array of business goals, a classification of business goals, and / or a set of goals related to a subset of the business (e.g., a first subset is related to a goal for a first location included in the business, and a second subset is related to a goal for a second location included in the business, and the first subset and the second subset are combined to create a business goal). The business goal may include one or more goal categories. For example, a business goal category may be energy consumption, emissions, waste, or water. In some embodiments, a user may select a category, a metric (e.g., emissions, total emissions, or emissions intensity), a baseline year, a target year, and a target value associated with the baseline value. The target value may be or include at least one target sustainability level. The baseline value may be or include at least one baseline sustainability performance related to the business, a location of the business, or a building (e.g., building 10). The sustainability manager may use data associated with the baseline year to establish the baseline value. The sustainability manager may use the baseline value and the target value to determine a % reduction metric.

[0228] In some embodiments, after the business goals have been established, the sustainability manager may generate recommendations for one or more locations associated with the business. In some embodiments, the recommendations include location goal values ​​associated with business goal categories. The sustainability manager may generate recommendations by determining a reduction in contribution to one or more goal categories of the business goals for a particular location. The sustainability manager may determine that if the location goal values ​​are achieved, the business goals will be achieved. In some embodiments, the sustainability manager may receive input from a user to approve and / or adjust the recommendations. Adjustments to the recommendations may result in adjusted business goals.

[0229] In some embodiments, the sustainability manager may generate recommendations for one or more buildings associated with one or more locations. In some embodiments, the recommendations are building target values ​​associated with business goals and / or location target values. In some embodiments, the building target values ​​may be used to achieve the location target values. For example, the sustainability manager may determine that the target values ​​for one or more buildings may result in reaching the location target value. The sustainability manager may use the total contribution of the buildings to the location target value to determine the priority. In some embodiments, the user may adjust the building target value, which may cause a change in the location target value and / or business goals.

[0230] In some embodiments, the sustainability manager may generate recommendations for one or more emission sources associated with one or more buildings. In some embodiments, the recommendations are emission source target values ​​associated with business goals, location target values, and / or building target values. In some embodiments, emission source target values ​​may be used to achieve building target values. For example, the sustainability manager may determine that target values ​​for one or more emission sources may result in achieving the building target value. The sustainability manager may use the total contribution of a building to the location target value to determine priorities. A user may adjust a building target value, which may result in a change in the location target value and / or business goal.

[0231] In some embodiments, a user interface provided by the sustainability manager may allow a user to track progress toward a business goal, one or more location target values, or one or more building target values, and be provided with information that can be used to adjust progress toward the business goal. For example, the sustainability manager may display a user interface that includes a graphical representation of the energy consumption of the business. In some embodiments, the sustainability manager may determine a current energy consumption trend and compare the current energy consumption trend to a target value. The sustainability manager may determine whether the current trend is consistent with the business goal.

[0232] In some embodiments, the sustainability manager may receive an indication from a user. The indication may be an indication to adjust a business objective, one or more location target values, one or more building target values, and / or one or more emission source target values. In some embodiments, the adjustment of a business objective may result in an adjusted location target value, an adjusted building target value, and / or an adjusted emission source target value. In some embodiments, the adjustment of a location target value may result in an adjusted business objective, an adjusted building target value, and / or an adjusted emission source target value. In some embodiments, the adjustment of a building target value may result in an adjusted business objective, an adjustment of a location target value, and / or an adjusted emission source target value. In some embodiments, the adjustment of an emission source target value may result in an adjusted business objective, an adjustment of a location target value, and / or an adjusted emission source target value.

[0233] In some embodiments, the sustainability manager may perform similar functions as the optimization system 322. For example, the sustainability manager may provide a plan for meeting business objectives. The plan generated by the sustainability manager may be based on the optimization run by the sustainability manager. In some embodiments, the plan generated by the sustainability manager may be a plan for a time frame, such as a thirty-year plan, a twenty-year plan, etc. The plan may provide steps for meeting the user's business objectives. These steps may indicate which equipment modifications should be made at the current time or at a specified time in the future, how many RECs should be purchased each year or every ten years, which control schemes should be adopted, etc. Over time, the sustainability manager may update the plan based on new optimizations. This allows the plan to stay on track to meet business objectives as the environment or technology changes, and allows users to meet their goals in a more cost-effective manner.

[0234] In some embodiments, the sustainability manager may use the indication to adjust the business objective, one or more location objective values, one or more building objective values, or one or more emission source objective values ​​to adjust the associated objective value. In some embodiments, the sustainability manager may determine that the adjustment of the associated objective value is not included in the planning for meeting the business objective. In some embodiments, the sustainability manager may adjust the planning for meeting the business objective. In some embodiments, the sustainability manager may use the adjusted planning to update actions that may be taken to achieve the business objective.

[0235] In some embodiments, the sustainability manager may generate one or more rankings for at least one of a business, one or more locations associated with a business, and / or one or more buildings associated with a location and / or a business. In some embodiments, the sustainability manager may generate the rankings by using a baseline metric for the business, location, and / or building and comparing the baseline metric to a predetermined standard. In some embodiments, the sustainability manager may generate the rankings by using a business goal and / or a target value and comparing the business goal and / or the target value to a predetermined standard. In some embodiments, the sustainability manager may display the rankings by using a user interface.

[0236] In some embodiments, the sustainability manager may rank various locations and / or buildings associated with the business and other locations and / or buildings associated with the business. In some embodiments, the ranking may be based on a baseline metric for the locations and / or buildings. In some embodiments, the sustainability manager may display the ranking of each location and / or building using a user interface.

[0237] In some embodiments, the sustainability manager may assign a target emissions value to one or more tenants associated with the building. In some embodiments, the sustainability manager may generate a ranking for the tenants using a baseline metric for the tenants or a target emissions value for the tenants.

[0238] In some embodiments, an improvement measure dashboard associated with a sustainability manager may generate one or more lists. In some embodiments, a list may include facility improvement measures (FIMs) that may be taken at a business level, a location level, and / or a building level. The list may also include emission reductions associated with the FIMs. In some embodiments, a sustainability manager may generate one or more reduction plans that may implement the FIMs. The reduction plans may include the FIMs that may be taken, the reductions in emissions associated with the reduction plans, and the expected reduction completion values. In some embodiments, a sustainability manager may generate one or more reduction plans using business objectives.

[0239] In some embodiments, the sustainability manager may generate a prediction of success. The prediction of success may be associated with a business goal, a location target value, and / or a building target value. In some embodiments, the prediction of success may be a percentage likelihood that the business goal, location target value, and / or building target value will be achieved in a target year value. In some embodiments, the sustainability manager may associate the prediction of success with one or more reduction plans.

[0240] The sustainability manager may receive operational data related to at least one of a business, a location included within a business, and / or a building included within a business. For example, the sustainability manager may receive operational data for a set of one or more buildings. The operational data may be current and / or historical operational data. For example, the operational data may be an average of the operational data over a particular amount of time (e.g., a day, a week, a month, a year, a decade). The sustainability manager may use the operational data to determine a baseline sustainability performance. The baseline sustainability performance may be or include carbon emissions, energy consumption, greenhouse gas emissions, natural gas consumption, diesel consumption, butane consumption, and other metrics or emission sources that may contribute to the emissions and / or sustainability of a building. For example, the sustainability manager may establish a baseline carbon emissions value for a building (e.g., how much carbon a building emits and / or produces).

[0241] The sustainability manager may establish a sustainability goal for improving the sustainability of the group of buildings from the baseline sustainability performance in response to determining the baseline sustainability performance. The sustainability goal may include at least one target sustainability level and at least one timeline for achieving the target sustainability level. For example, the sustainability goal may be to reduce carbon emissions by 50%, then the target sustainability level will be 50% of the baseline sustainability performance. The timeline may be or include how long it will take to reach the sustainability goal. For example, the timeline may be 10 years from the establishment of the sustainability goal. The timeline may also be a target date. For example, the timeline may be to reach a specific carbon emission level and / or reduction at a specific point in time.

[0242] The sustainability manager may use the baseline sustainability performance and the sustainability goals to generate a plurality of control actions. The plurality of control actions may be for a plurality of pieces of equipment (e.g., devices and / or equipment included in the building subsystem 228). For example, a control action may be or include controlling when and for how long certain pieces of equipment are to be operated. The sustainability manager may use the control action to control the building equipment piece in response to generating the control action for the building equipment piece. The sustainability manager may perform functions similar to those of other systems or devices described herein to control a plurality of pieces of building equipment. For example, the sustainability manager may perform functions similar to those of the integrated control layer 218.

[0243] The sustainability goals described herein may be or include a goal to improve the sustainability level of a building. For example, the sustainability goals may include a goal to improve the sustainability level of the building 10. The sustainability level of the building 10 may be affected by a plurality of sustainability characteristics of the building 10. The sustainability characteristics may be, include, and / or relate to at least one of carbon emissions, greenhouse gas emissions, energy consumption, water consumption, waste generation, electricity consumption, electricity generation, diesel consumption, butane consumption, sustainable energy sources, renewable energy sources, and / or other characteristics of the building 10 that may affect the sustainability of the building 10.

[0244] The sustainability manager can use the baseline sustainability performance of the building 10 and the sustainability goals of the building 10 to determine a target characteristic level for the sustainability characteristic to achieve the target sustainability level within a timeline included in the sustainability goals. The target characteristic level can generally achieve the target sustainability level. The target characteristic level can be or include at least one of a value, a range of values, a percentage, a ratio, and / or a proportion. For example, the target characteristic level can be to have solar generated power account for 20% of the energy consumption of the building 10. The target characteristic level can also be to reduce the water production of the building 10 by 100 gallons per week.

[0245] The sustainability manager may use the target characteristic level to generate a second plurality of control actions. The second plurality of control actions may move the operation of the building 10 toward the target characteristic level. For example, the second plurality of control actions may include or cause the building 10 to consume a reduced amount of energy from the grid while also increasing the amount of energy of the power generated by solar energy. The sustainability manager may also generate a first control action for a first group of building equipment components, and may also generate a second control action for a second group of building equipment components. The first control action may be related to a first target characteristic level in the target characteristic level, and the second control action may be related to a second target characteristic level in the target characteristic level. For example, the first control action may be related to an HVAC system within and / or serving the first building 10, and the second control action may be related to a solar power generation system of the second building 10. Both the first control action and the second control action may help the building 10 move toward and / or reach the sustainability goal of the building 10.

[0246] Reference now Fig.11 , displaying a user interface. The user interface includes an energy manager dashboard. The energy manager dashboard may include a system information tab, a fault management tab, and a definition dashboard tab. The system information tab may be selected by the user. In some embodiments, when the system information tab is selected, data associated with the energy manager may be displayed. The data may include electrical energy data, thermal energy data, water data, and energy and carbon footprint relative to baseline data. The electrical energy data may include consumption values. The thermal energy data may include consumption values. In some embodiments, the sustainability manager may generate a report in the field by performing functions similar to those of the field supply data system 310. Fig.11 In some embodiments, the system information may be at a business level or a location level. In some embodiments, the business level may include data associated with one or more locations (e.g., multiple buildings or locations, such as an enterprise-level view showing multiple buildings (e.g., all buildings) within an enterprise, within a particular geographic location (e.g., a city), etc.). In some embodiments, the location level may include data associated with a location. A location may include one or more buildings (e.g., a campus).

[0247] Reference now Fig.12 , a user interface is displayed. The user interface includes a sustainability (eg, net zero advisor) dashboard. Fig.12 The Sustainability Dashboard shown in the figure shows that the user has not selected a scope metric.

[0248] Reference now Fig.13 , showing the user interface. The user interface includes the sustainability dashboard. Fig.13The sustainability dashboard shown in may show that the user has not yet selected an energy metric or an emissions metric. Similarly, Fig.13 The sustainability dashboard displayed in the may display an overview of building performance that has not yet been determined if the user has not selected an energy metric or an emissions metric. In some embodiments, Fig.12 User interface and Fig.13 The user interfaces may be included within a single user interface (eg, the user interfaces are combined).

[0249] Reference now Fig.14 , displaying a user interface. The user interface includes a sustainability dashboard. The sustainability dashboard may include data associated with total GHG emissions for a particular year. Total GHG emissions may include total emissions, total emissions reductions, and net emissions. Total emissions may be from a business level (e.g., one or more locations).

[0250] Fig.14 The user interface displayed in may include information about GHG emissions by scope. Fig.14 The information shown in is at the business level. Fig.14 , Scope 1 and Scope 2 are displayed. In some embodiments, Scope 1 may be associated with the total amount of emission items. In some embodiments, the emission items may include one or more sources. For example, natural gas and fuel oil. In some embodiments, Scope 2 may be associated with the total purchased energy and purchased RECs. GHG emissions by scope may include a net emission value. The net emission value may be associated with the difference between the total emissions and the emission reduction. For example, the net emissions may be determined by the difference between the total purchased electricity and the purchased RECs.

[0251] Reference now Fig.15 , displaying a user interface. The user interface includes a sustainability dashboard. The net zero dashboard may include a graphical representation of business energy consumption, business CHG emissions, and a location metric overview. Business energy consumption may display previous data and / or future forecast data. In some embodiments, sustainability management may perform functions similar to the optimization system 322 to predict future energy consumption. The user may select a metric tab to change to a total metric, an EUI metric, or a metric by degree day. The user may also select an energy source, a unit for the energy source, and a baseline year. In some embodiments, the sustainability manager may determine baseline data by performing functions similar to the analyzer 408. Additional data for previous years may be determined by previous usage data.

[0252] In some embodiments, the various data discussed herein may be stored in the context of the digital twin, retrieved from the context of the digital twin, or processed in the context of the digital twin. In some such embodiments, the digital twin may be provided within an infrastructure such as described in U.S. Patent Application No. 17 / 134,661, filed on December 28, 2020, No. 63 / 289499, filed on December 14, 2021, and No. 17 / 537,046, filed on November 29, 2021, the entire contents of which are incorporated herein by reference. In some embodiments, the various data discussed herein may be processed (e.g., using a model executed therein) in the cloud or other external computing system / device or system / device group, edge or other internal system / device or system / device group, or a mixture thereof, some of which occurs externally and some of which occurs internally. In some exemplary embodiments, data may be processed using systems and / or methods such as described in U.S. Patent Application No. 17 / 710,458, filed on March 31, 2022, the entire contents of which are incorporated herein by reference.

[0253] In some embodiments, Fig.15 The location metrics summary displayed in may include information associated with one or more locations associated with the business. A location may include one or more buildings. The information may include the total square footage associated with the location, one or more emission metrics associated with the location, and emission metrics scaled by the square footage of the location. The location metrics summary may also include alerts that the location is above a specific target and / or is approaching a specific target. In some embodiments, Fig.14 User interface and Fig.15 The user interfaces may be included within a single user interface.

[0254] Reference now Fig.16 , a user interface is displayed. The user interface includes a sustainability dashboard. The user interface includes information associated with a specific building, the specific building associated with a location and a business. Fig.16 The information displayed in can be similar to Fig.14 , but at the building level.

[0255] Reference now Fig.17 , a user interface is displayed. The user interface includes a sustainability dashboard. The user interface includes information associated with a specific building, the specific building associated with a location and a business. Fig.17 The information displayed in can be similar to Fig.15 , but at the building level.

[0256] Reference now Fig.18 , display the user interface. The user interface can be Fig.14 , Fig.15 , Fig.16 or Fig.17 The Emissions Details window is associated with the information displayed in the Fig.15 or Fig.17 to open the Emissions Breakdown tab in Fig.18 Emissions window displayed in the user interface. The emissions breakdown window may include total emissions by scope. The emissions breakdown window may include one or more years. The emissions breakdown window may display total emissions by scope for one or more years. Emissions information from one or more years may be used to develop trends. The sustainability model may use the trends to update optimization recommendations.

[0257] Reference now Fig.19 , display the user interface. The user interface can be Fig.14 , Fig.15 , Fig.16 or Fig.17 The Emissions Details window is associated with the information displayed in the Fig.15 or Fig.17 to open the Emissions Breakdown tab in Fig.19 The Emissions window displayed in the user interface. The Emissions breakdown window may include total emissions by source. The Emissions breakdown window may include one or more years. The Emissions window may allow the user to view the contribution of an emission source to the total emissions.

[0258] In some embodiments, Fig.18 and Fig.19 The emissions breakdown window shown in the can be included in a user interface. Similarly, the user can select the By Source tab or the By Range tab to Fig.18 and Fig.19 Switches between the emission breakdown windows shown in the

[0259] Reference now Fig. 20 , displays the user interface. The user interface can include a custom scope window. Fig. 20 The Custom Range window can be reached by clicking the C tab in the . The user can use the Custom Range window to select a specific range. The user can use the Custom Range window when the user is interested in information for a specific time window.

[0260] Reference now Fig.21 , displaying a user interface. The user interface includes a chart associated with energy consumption. The chart may include information associated by source. For example, the energy consumption source may be at least one of electricity, renewable energy, natural gas, cooling water, steam, or others. The chart presents a percentage breakdown of each source. The percentage breakdown may inform the user of the contribution of each source to the total energy consumption. The energy consumption may be based on outside of a predetermined range, or the customer may use Fig. 20Customize the range window to select the range.

[0261] Reference now Fig. 22 , display the user interface. The user interface includes Fig.21 The chart is displayed, and the user can select one or more source metrics. When one of the source metrics is selected, the information associated with the source is magnified. In some embodiments, Fig. 22 The user interface can display Fig.21 The chart is not associated with the chart.

[0262] Reference now Fig.23 , displaying a user interface. The user interface includes a chart associated with GHG emissions. The chart may include information associated by source. For example, the GHG emission source may be at least one of electricity, renewable energy, natural gas, cooling water, steam, or others. The chart may present a percentage breakdown for each source. The percentage breakdown may inform the user of the contribution of each source to the total GHG emissions. GHG emissions may be based on outside of a predetermined range, or the customer may use Fig. 20 to select the range.

[0263] refer to Fig.24 , a user interface is displayed. The user interface includes a goals and metrics dashboard. The goals and metrics dashboard may notify the user that a business goal has not yet been created. The business goal may be a goal to reduce total emissions within a certain amount of time. The user may add a business goal by selecting the Add Goal tab. In some embodiments, the user may reach the goals and metrics dashboard by selecting the Goals and Metrics tab.

[0264] refer to Fig.25 , displaying a user interface. The user interface includes a settings window. In some embodiments, the user can select Fig.24 The Add Goal tab in the Settings window is directed to a Settings window. The Settings window can be used by the user to establish one or more goals and / or one or more indicators. In some embodiments, the user can select a Next tab that is directed to a window where the user can establish a goal.

[0265] refer to Fig.26 , displaying a user interface. The user interface includes a window that allows a user to establish a business level goal. In some embodiments, the user can select Fig.25 The Next tab in the window leads to Fig.26window. In some embodiments, a user may select one or more options. A user may select a target category, a metric, an emissions range, a baseline year, a baseline value, a target year, a set target, a target value, and a target reduction. For example, a user may select emissions as a target category, total emissions as a metric, scope 1 as an emissions range, 2018 as a baseline year, 2040 as a target year, a set target as a value, and a target value of 100. Based on selecting 2018 as the baseline year, the corresponding total emissions value will be displayed. Based on a target value of 100, a total reduction percentage of 90% may be displayed. Once the information is entered, target 1 may be established. For example, a baseline value of 1,000 and a set target value of 100 may be used to determine that in order to achieve a set target value of 100, the % reduction must be 90%. The sustainability model may generate recommendations using the set target value and the set target year that may be used to assist in reaching business goals by the set target year.

[0266] refer to Fig. 27 , displaying a user interface. The user interface includes a window that allows a user to establish a business level goal. In some embodiments, the user can select Fig.25 The Next tab in the window leads to Fig. 27 window. In some embodiments, a user may select one or more options. A user may select a target category, a metric, an emissions range, a baseline year, a baseline value, a target year, a set target, a target value, and a target reduction. For example, a user may select emissions as a target category, total emissions as a metric, scope 1 as an emissions range, 2018 as a baseline year, 2040 as a target year, a set target as a percentage reduction, and a target value of 90%. Based on selecting 2018 as the baseline year, the corresponding total emissions value will be displayed. Based on a target value of 90%, a target value of 100 may be displayed. Once the information is entered, target 1 may be established. For example, a baseline value of 1,000 and a set target reduction of 90% may be used by a sustainability manager to determine that in order to achieve a 90% reduction, the business objective target value must be 100. The sustainability model may use the set target value and the set target year to generate a recommendation that may be used to assist in reaching the business objective by the set target year.

[0267] refer to Fig.28 , displaying a user interface. The user interface may include a location target window. The user may select Fig.26 or Fig. 27 The Next tab in the Fig.28 In some embodiments, the sustainability manager may generate one or more recommendations for one or more locations associated with the business. The sustainability manager may use the business objectives to generate the recommendations. The recommendations may include emission targets for the one or more locations. In some embodiments, the business objectives may be Fig.26 or Fig. 27 business objectives established in the

[0268] In some embodiments, the sustainability manager may use the business goal to determine an associated location goal. The associated location goal may be an emissions value. The sustainability manager may determine that when one or more locations associated with the business achieve the location goal, the business goal will also be achieved. The location goal for a location may be based on the overall contribution of the location to the overall business emissions value.

[0269] The sustainability manager may generate recommendations by performing similar functions as the sustainability planner 806. In some embodiments, the sustainability manager may determine an emissions reduction value for one or more locations. The emissions reduction value may be associated with the overall contribution of the location to the business emissions value.

[0270] refer to Fig.29 , displaying a user interface. The user interface may include a location target window. The sustainability generator may determine that one or more locations are not major contributors to the business emissions value. In some embodiments, the sustainability generator may determine that location target recommendations are not to be included. In some embodiments, Fig.28 Window and Fig.29 The windows may be included in a single user interface. In some embodiments, the business goal may be Fig.26 or Fig. 27 business objectives established in the

[0271] Reference now Fig.30 , displaying a user interface. The user interface may include a location target window. In some embodiments, the user may select Fig.28 or Fig.29 The list tab in the Fig.30 In some embodiments, Fig.30 The information displayed in Fig.29 In some embodiments, the business goal can be Fig.26 or Fig. 27 business objectives established in the

[0272] In some embodiments, Fig.30 The information displayed in the user interface may include the location contribution percentage, baseline emissions value, previous year emissions value, target emissions value, remaining emissions value, and reduction % for the location.

[0273] Reference now Fig.31 , displaying a user interface. The user interface may include a location target window. In some embodiments, a user may view locations with target recommendations and locations without target recommendations. In some embodiments, Fig.30 Window and Fig.31 The windows may be included in a single user interface. In some embodiments, the business goal may be Fig.26 or Fig. 27 business objectives established in the

[0274] Reference now Fig.32 , displaying a user interface. The user interface includes a location target window. In some embodiments, the user can adjust the target value by selecting a target drop-down menu. In some embodiments, the user can adjust Figure 28 to Figure 31 In some embodiments, the business goal may be adjusted using input received from the user. In some embodiments, the business goal may be Fig.26 or Fig. 27 business objectives established in the

[0275] Reference now Fig.33 , a user interface is displayed. The user interface includes a location target window. The user can select whether a location is to be included in the location target recommendations by selecting to include as part of a combination tab associated with each location. In some embodiments, one or more locations associated with a business can be excluded from the location target recommendations. In some embodiments, the business target can be Fig.26 or Fig. 27 In some embodiments, Fig.32 Window and Fig.33 Can be included in a user interface.

[0276] refer to Fig.34 , displaying a user interface. The user interface includes a location target window. In some embodiments, the user can Fig.32 or Fig.33 In some embodiments, Fig.34 The location recommendations shown in the include Fig.33 In some embodiments, the location recommendation may be based on a new business goal. In some embodiments, the business goal may be Fig.26 or Fig. 27 business objectives established in the

[0277] refer to Fig.35 , displaying a user interface. The user interface includes a building target window. As described herein, a location may have one or more buildings. The sustainability manager may use the location recommendation to generate one or more building targets for the one or more buildings associated with the location. In some embodiments, the sustainability manager may use the location recommendation from Figures 28 to 34 The user can edit and / or add building targets by selecting the Edit Building Target tab or the Add Building Target tab. In some embodiments, the business target can be Fig.26 or Fig. 27 business objectives in.

[0278] refer to Fig.36 , displaying a user interface. The user interface includes a building target window. The building target window may include one or more buildings associated with the location. In some embodiments, the sustainability manager may use Figures 28 to 34 The user can edit and / or add building targets by selecting the Edit Building Targets tab or the Add Building Targets tab. Fig.36 Window and Fig.35 The window may be included in a user interface. In some embodiments, the business goal may be Fig.26 or Fig. 27 business objectives in.

[0279] refer to Fig.37 , displaying a user interface. The user interface includes a building target window. The building target window may include one or more buildings associated with the location. In some embodiments, the sustainability manager may use Figures 28 to 34 The user can edit and / or add building targets by selecting the Edit Building Targets tab or the Add Building Targets tab. Fig.36 window, Fig.35 Window and Fig.37 The window may be included in a user interface. A user may move to the next location by selecting the Next Location tab. In some embodiments, the business goal may be Fig.26 or Fig. 27 business objectives in.

[0280] refer to Fig.38 , a user interface is displayed. The user interface includes a building target window. The building target window may include a list view of one or more locations. The locations may include one or more buildings. A user may edit and / or add a building target by selecting the Edit Building Target tab or the Add Building Target tab. A user may move to the next location by selecting the Next Location tab. In some embodiments, a business target may be Fig.26 or Fig. 27 business objectives in.

[0281] refer to Fig.39 , a user interface is displayed. The user interface includes a building target window. The building target window may include a location and a building associated with the location. The user may view the location target recommendations and the corresponding recommendations for the buildings associated with the location. The user may accept the recommendations by selecting the Accept Recommendation tab. The user may customize the recommendations by selecting the Customize tab. In some embodiments, the building recommendations may be based on Fig.26 or Fig. 27 business objectives in.

[0282] refer to Fig.40 , a user interface is displayed. The user interface includes a building target window. The building target window may include a location and a building associated with the location. The user may view location target recommendations and corresponding recommendations for buildings associated with the location. In some embodiments, the user may view buildings that are not included in the location recommendations. The user may accept the recommendations by selecting an Accept Recommendation tab. The user may customize the recommendations by selecting a Customize tab. In some embodiments, Fig.39 Window and Fig.40 The window may be included in a user interface. In some embodiments, building recommendations may be based on Fig.26 or Fig. 27 business objectives in.

[0283] refer to Fig.41 , displaying a user interface. The user interface may include a building target window. The building target window may include a list view of one or more buildings associated with a location. The user may view location target recommendations and corresponding recommendations for buildings associated with the location. The user may accept the recommendation by selecting the Accept Recommendation tab. The user may customize the recommendation by selecting the Customize tab. In some embodiments, the building recommendations may be based on Fig.26 or Fig. 27 business objectives in.

[0284] refer to Fig.42 , displaying a user interface. The user interface may include a building target window. The building target window may include a list view of one or more buildings associated with a location. The user may view location target recommendations and corresponding recommendations for buildings associated with the location. In some embodiments, the user may view buildings that are not included in the location recommendations. The user may accept the recommendations by selecting an Accept Recommendation tab. The user may customize the recommendations by selecting a Customize tab. In some embodiments, Fig.41 Window and Fig.42 The window may be included in a user interface. In some embodiments, building recommendations may be based on Fig.26 or Fig. 27 business objectives in.

[0285] refer to Fig.43 , displaying a user interface. The user interface may include a building target window. In some embodiments, the user may select Figure 39 to Figure 42 The custom tab on the Fig.43 In some embodiments, the user can adjust the target value for the building. The sustainability manager can use Fig.43 The input received from the user is used to update the location recommendations and business goals.

[0286] refer to Fig.44 , displaying a user interface. The user interface may include a building target window. In some embodiments, the user may select Figure 39 to Figure 42 The custom tab on the Fig.44 In some embodiments, the user can adjust the target value for the building. The sustainability manager can use Fig.43 In some embodiments, the location recommendations and business goals are updated based on the input received from the user. Fig.43 Window and Fig.44 Windows can be included in a user interface.

[0287] refer to Fig.45 , displaying a user interface. The user interface may include a building target window. In some embodiments, the user may select Figure 39 to Figure 42 The custom tab on the Fig.44 In some embodiments, the user can adjust the target value for the building. The sustainability manager can use Fig.45 The input received from the user is used to update the location recommendations and business goals.

[0288] refer to Fig.46 , displaying a user interface. The user interface may include a goals and metrics dashboard. In some embodiments, the user may select Figure 43 to Figure 45 The Next tab in the navigation bar is directed to the Goals and Metrics Dashboard. The dashboard may include a business goals summary. The business goals summary may include information about emissions, energy, water, or waste. The information about emissions may include business goals. In some embodiments, the business goals may be Fig.26 or Fig. 27 The business goal summary may include a current emissions value and a target emissions value. In some embodiments, the current emissions value is based on the usage data and the target emissions value is based on the business goal. In some embodiments, the location may include an overview tab. The business summary may also include progress toward the goal and progress relative to the baseline.

[0289] refer to Fig.47 , displaying a user interface. The user interface may include a goals and metrics dashboard. In some embodiments, the user may select Figure 43 to Figure 45 The Next tab in the navigation bar is directed to the Goals and Metrics Dashboard. The dashboard may include a business goals summary. The business goals summary may include information about emissions, energy, water, or waste. The information about emissions may include business goals and location recommendations for one or more locations associated with the business. In some embodiments, the business goals may be Fig.26 or Fig. 27The business goal summary may include a current emissions value and a target emissions value. In some embodiments, the current emissions value is based on the usage data and the target emissions value is based on the business goal. In some embodiments, the business goal summary may include a current emissions value for a location and a target emissions value for the location. In some embodiments, Fig.46 and Fig.47 The dashboard can be included in a user interface. In some embodiments, the location can include an overview tab. The business summary can also include progress toward goals and progress relative to a baseline.

[0290] refer to Fig.48 , displaying a user interface. The user interface may include information about emissions and location recommendations for one or more locations associated with the business. The information may include a current emissions value for a location and a target emissions value for the location. In some embodiments, Fig.46 , Fig.47 and Fig.48 The dashboard can be included in a user interface. In some embodiments, the location can include an overview tab. The business summary can also include progress toward goals and progress relative to a baseline.

[0291] In some embodiments, the sustainability manager may determine progress toward a business goal metric and progress relative to a baseline metric. The sustainability model may use the current emissions metric and the business goal metric to determine progress toward the business goal metric. The sustainability model may use the current emissions metric and the baseline metric to determine progress relative to the baseline metric. For example, if the baseline metric is 1000 and the current emissions metric is 750, then the progress relative to the baseline metric would be 25%. If the current emissions metric is 750 and the business goal is 250, then the progress relative to the business goal would be 27.7%.

[0292] In some embodiments, the sustainability manager may use progress toward the business goal metric and progress relative to the baseline metric to determine whether the business goal will be achieved in the target year. In some embodiments, the sustainability model may determine that the business goal will be achieved before the target year. In some embodiments, the sustainability model may determine that the business goal will not be achieved by the target year. The sustainability model may use progress toward the business goal metric and progress relative to the baseline metric to determine whether any action needs to be taken. If the progress toward the business goal metric or the progress relative to the baseline metric is not within predetermined values ​​for a given target year, the sustainability model may update the recommendations. The updated recommendations may be used to enhance the progress toward the business goal metric and the progress relative to the baseline metric.

[0293] refer to Fig.49, displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Figure 46 to Figure 48 . The window may include a graphical view of the business emissions. In some embodiments, the user may view a location view by selecting the By Location box. In some embodiments, the window may include Figure 46 to Figure 48 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may be based on a business goal. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached. A graphical view of business emissions may allow a user to see the current year emissions value and the emissions target for the current year. The graphical representation may allow a user to see how the current emissions value relates to the emissions target.

[0294] refer to Fig.50 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.49 The window may include a graphical view of the location layout. In some embodiments, the graphical view may include information about one or more buildings associated with the location. In some embodiments, the window may include Figure 46 to Figure 48 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may be recommended based on location. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached. The location view may allow a user to view emissions differences between one or more years and emissions adjustments for one or more locations.

[0295] refer to Fig.51 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.49 The window may include a graphical view of the location layout. In some embodiments, the graphical view may include information about one or more buildings associated with the location. In some embodiments, the window may include Figure 46 to Figure 48 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may recommend a target based on location. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached. The graphical view may allow a user to see the difference in emissions for a location between one or more years.

[0296] refer to Fig.52 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.49 The window may include a graphical view of the location layout. In some embodiments, the graphical view may include information about one or more buildings associated with the location. In some embodiments, the window may include Figure 46 to Figure 48 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may recommend a target based on location. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached.

[0297] refer to Fig.53 , a user interface is displayed. The user interface may include a window associated with a goal and metrics dashboard. A user may adjust the location recommendations associated with a business goal by selecting the Edit Building Goals tab. A user may add a building goal by selecting the Add Building Goals tab. A user may be directed to a new window with a new location by selecting the Next Locations tab.

[0298] refer to Fig.54 , displaying a user interface. The user interface includes a goals and metrics dashboard. The goals and metrics dashboard may inform the user that a location goal has not yet been created. The user may return to the business summary by selecting the Go To tab. In some embodiments, the user may be directed to Figure 46 to Figure 48 Window in .

[0299] refer to Fig.55 , displaying a user interface. The user interface may include a goals and metrics dashboard. In some embodiments, the user may select Figure 43 to Figure 45 The Next tab in the navigation bar is directed to the Goals and Metrics Dashboard. The dashboard may include a summary of location goals. The location goal summary may include information about emissions, energy, water, or waste. The information about emissions may include business goals and location goal recommendations. In some embodiments, the business goal may be Fig.26 or Fig. 27 The location summary may include a current emissions value and a target emissions value. In some embodiments, the current emissions value is based on usage data and the target emissions value is based on the business goal. In some embodiments, the location may include an overview tab. The location summary may also include progress toward the goal and progress relative to the baseline.

[0300] refer to Fig.56, displaying a user interface. The user interface may include a location summary. The location summary may include information about the location and one or more buildings associated with the location. The location summary may include a current emissions value and a target emissions value for the location. In some embodiments, the current emissions value is based on usage data and the target emissions value is based on location recommendations. In some embodiments, the location summary may include a current emissions value for a building and a target emissions value for the building. In some embodiments, Fig.46 and Fig.47 The dashboard can be included in a user interface. In some embodiments, the location can include an overview tab. The location summary can also include progress toward the goal and progress relative to the baseline for the building and location. Progress toward the goal can be related to the percentage of the goal achieved. Progress relative to the baseline can be related to the percentage reduction from the baseline value. In some embodiments, Fig.55 Position Summary and Fig.56 The location summary may be included in a user interface.

[0301] refer to Fig.57 , displaying a user interface. The user interface may include a building summary. The building summary may include information about one or more buildings associated with the location. The building summary may include current emissions values ​​and target emissions values ​​for the one or more buildings. In some embodiments, the current emissions values ​​are based on usage data and the target emissions values ​​are based on building recommendations. In some embodiments, Fig.46 and Fig.47 The dashboard can be included in a user interface. In some embodiments, the location can include an overview tab. The location summary can also include progress toward the goal and progress relative to the baseline for the building and location. Progress toward the goal can be related to the percentage of the goal achieved. Progress relative to the baseline can be related to the percentage reduction from the baseline value. In some embodiments, Fig.55 Position Summary and Fig.56 The location summary may be included in a user interface.

[0302] refer to Fig.58 , displaying a user interface. The user interface includes a goals and metrics dashboard. The goals and metrics dashboard may inform the user that a building goal has not yet been created. The user may return to the business summary by selecting the Go To tab. In some embodiments, the user may be directed to Figure 46 to Figure 48 Window in .

[0303] refer to Fig.59, displaying a user interface. The user interface includes a building goal summary. The building goal summary may include information about a building associated with a location. The information may include a total building emissions goal and current building emissions. The total building emissions goal may be based on building recommendations. Current building emissions may be based on usage data. In some embodiments, the user may be notified that the current emissions rate is not within the building emissions goal. In some embodiments, the sustainability model may update the recommendation to adjust the emissions rate so that the building emissions rate may be adjusted to help meet the building emissions goal.

[0304] refer to Fig.60 , a user interface is displayed. The user interface includes a building sub-indicator window associated with the goal and indicator dashboard. In some embodiments, a building may have sub-indicator recommendations. The sub-indicator recommendations may be related to specific emission sources. For example, recommendations for natural gas, diesel, propane, and butane. The user can accept the sub-indicator recommendations by selecting the Accept Recommendation tab. The user can customize the recommendations by selecting the Customize tab.

[0305] refer to Fig.61 , displaying a user interface. The user interface includes a building sub-metric window associated with the goal and metric dashboard. In some embodiments, the user can view emission sources that are not major contributors to emissions for the building. In some embodiments, Fig.60 Window and Fig.61 Windows can be included in a user interface.

[0306] refer to Fig.62 , the user interface is displayed. The user interface includes a building sub-indicator window. The sub-indicator window includes a list view of building emission sources and sub-indicator recommendations. The user can accept the recommendation by selecting the Accept Recommendation tab. The user can customize the recommendation by selecting the Customize tab.

[0307] refer to Fig.63 , displaying a user interface. The user interface includes a building sub-indicator window. The sub-indicator window includes a list view of emission sources that are not major contributors to emissions of the building. In some embodiments, Fig.62 Window and Fig.63 Windows are included in a user interface.

[0308] refer to Fig.64 , a user interface is displayed. The user interface includes a building sub-indicator window. The window includes a list view of emission sources for the building. The user can adjust the target value for one or more of the emission sources included in the sub-indicator recommendation. The updated target value can adjust the building recommendation, location recommendation, or business goal. The user can move to a new building by selecting the Next tab.

[0309] refer to Fig.65, a user interface is displayed. The user interface includes a building sub-indicator window. The window includes a list view of emission sources for the building. The user can adjust the target value for one or more of the emission sources included in the sub-indicator recommendation. The user can also view emission sources that are not included in the sub-indicator recommendation. Updating the target value can adjust the building recommendation, location recommendation, or business goal. The user can move to a new building by selecting the Next tab. In some embodiments, Fig.64 Window and Fig.65 Windows can be included in a user interface.

[0310] refer to Fig.66 , a user interface is displayed. The user interface includes a building sub-indicator window. The window includes a list view of emission sources for the building. The user can adjust the target value for one or more of the emission sources included in the sub-indicator recommendation. The user can also view emission sources that are not included in the sub-indicator recommendation. The updated target value can adjust the building recommendation, location recommendation, or business goal. The user can move to a new building by selecting the Next tab.

[0311] refer to Fig.67 , displaying a user interface. The user interface includes a dashboard of goals and indicators. In some embodiments, the user can select Figure 43 to Figure 45 The Next tab in the dashboard is directed to the goals and indicators dashboard. The dashboard may include a building goal summary. The building goal summary may include information about the building emission target value and the current emission rate of the building. The dashboard may include whether the current emission rate is consistent with the building emission target value. The building goal summary may include information about the building's progress toward the goal of achieving the indicator and information about the building's progress relative to the building's baseline value. The building goal summary may include information about the emission sources of the building. The information about the emission sources of the building may include the emission sources, the sub-indicator targets associated with the emission sources, baseline information, previous year information, and the remainder of the sub-indicator targets. In some embodiments, the information related to the emission sources may also include the current emission rate and the target emission rate. The information may also include whether the current emission rate is consistent with the target rate. The building goal summary may include information about the emission sources' progress toward achieving the indicator goals and information about the emission sources' progress relative to the emission source baseline value. The user interface may also include an overview tab for each of the emission sources.

[0312] refer to Fig.68 , displaying a user interface. The user interface may include information about emission sources. The information may include current emission source values ​​and target emission source values. In some embodiments, Fig.67 and Fig.68The dashboard may be included in a user interface. In some embodiments, the location may include an overview tab. The information about the emission sources may also include progress toward the target and progress relative to the baseline for each of the emission sources. The user interface may also include an overview tab for each of the emission sources.

[0313] refer to Fig.69 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.67 or Fig.68 . The window may include a graphical view of building emissions. In some embodiments, the user may view an emissions source view by selecting the By Source box. In some embodiments, the window may include Figure 67 to Figure 68 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may be based on a business goal. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached.

[0314] refer to Fig.70 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.69 .8 by Source box is directed to this window. This window may include a graphical view of the building emissions from the emission sources. In some embodiments, this window may include Figure 67 to Figure 68 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may be based on a business goal. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached.

[0315] refer to Fig.71 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.69 .8 by Source box is directed to this window. This window may include a graphical view of emissions from the emission source. In some embodiments, this window may include Figure 67 to Figure 68 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may be based on a business goal. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached. The graphical view may allow a user to view the differences in emissions for an emissions source between one or more years.

[0316] refer to Fig.72 , displaying a user interface. The user interface may include a window associated with a goals and metrics dashboard. In some embodiments, the user may select Fig.69 The window may include a graphical view of emissions from the emission source. In some embodiments, the window may include Figure 67 to Figure 68 In some embodiments, the total emissions graph may present a target trajectory and a current trajectory. The target trajectory may be based on a business goal. The current trajectory may be based on current emissions trends, and if those emissions trends continue, a new target date may be reached. The graphical view may allow a user to view the differences in emissions for an emissions source between one or more years.

[0317] refer to Fig.73 , a user interface is displayed. The user interface includes a goals and metrics dashboard. The goals and metrics dashboard may inform the user that a business goal has not yet been created. The user may return to enter a business goal by selecting the Add Goal tab. In some embodiments, the user may be directed to Fig.26 or Fig. 27 Window in .

[0318] In some embodiments, a user may determine that current trends associated with one or more of the emission sources require adjustment. The user may provide an indication to the sustainability manager that trends associated with the emission sources may be adjusted. In some embodiments, the sustainability manager may provide one or more recommendations that may be taken to adjust trends associated with the emission sources.

[0319] refer to Fig.74 , displaying a user interface. The user interface includes a window that allows a user to establish a business level goal. In some embodiments, the user can select Fig.73 The Add Target tab in the window is accessible Fig.74 window. In some embodiments, the user may select one or more options. The user may select a target category, a metric, a source, a baseline year, a baseline value, a target year, a set target, a target value, and a target reduction. For example, the user may select Energy as the target category, Energy Usage Intensity (EUI) as the metric, All Utilities as the source, 2018 as the baseline year, 2040 as the target year, Set Target % Reduction, and Target Reduction 10%. Based on selecting 2018 as the baseline year, the corresponding total emissions value will be displayed. Based on the target value of 10%, a target value 108 may be displayed. Once the information is entered, the target 1 can be established.

[0320] refer to Fig.75 , the user interface is displayed. The user interface includes a location target window. The user can select Fig.74 The Next tab in the Fig.75In some embodiments, the sustainability manager may generate one or more recommendations for one or more locations associated with the business. The sustainability manager may use the business objectives to generate the recommendations. The recommendations may include emission targets for the one or more locations. In some embodiments, the business objectives may be Fig.26 , Fig. 27 or Fig.74 business objectives established in the

[0321] refer to Fig.76 , displaying a user interface. The user interface may include a location target window. The sustainability generator may determine that one or more locations are not major contributors to the business emissions value. In some embodiments, the sustainability generator may determine that location target recommendations are not to be included. In some embodiments, Fig.76 Window and Fig.75 The windows may be included in a single user interface. In some embodiments, the business goal may be Fig.26 , Fig. 27 or Fig.74 business objectives established in the

[0322] refer to Fig.77 , displaying a user interface. The user interface may include a location target window. The target window may include location information in a list view. In some embodiments, the information may be associated with Fig.76 The user can customize the goal by selecting Set goal in the tab. Goals can be set in terms of consumption, EUI, or %EUI reduction. The user can select the Accept recommendation tab to finalize the recommendation.

[0323] refer to Fig.78 , displaying a user interface. The user interface may include a location target window. The target window may include location information in a list view. In some embodiments, the information may be associated with Fig.76 After the user has selected to set a goal using the EUI, the custom location and goal information may be generated. The user may select the Accept Recommendation tab to complete the recommendation.

[0324] refer to Fig.79 , displaying a user interface. The user interface may include a location target window. The target window may include location information in a list view. In some embodiments, the information may be associated with Fig.76 After the user has set a goal by selecting Use % EUI Reduction, the custom location and goal information may be generated. The user may select the Accept Recommendation tab to complete the recommendation.

[0325] refer to Fig.80, displaying a user interface. The user interface includes a building target window. As described herein, a location may have one or more buildings. The sustainability manager may use the location recommendation to generate one or more building targets for one or more buildings associated with the location. In some embodiments, in Fig.80 The information displayed, provided, generated or otherwise displayed in the Figure 35 to Figure 45 The user interface may include an icon indicating that the building object has been assigned to at least one of the locations associated with the business. For example, Fig.80 A check mark in the Location 3 window is included. The check mark indicates that at least one building has been assigned to Location 3. In response to a building target being established for a building associated with Location 3, the building may be assigned to Location 3. In some embodiments, the check mark may be included in, provided as an overlay, or otherwise shown in at least one of the user interfaces described herein.

[0326] Fig.80 The user interface shown in may also include an add building target icon. Fig.80 The Add Building Target icon shown corresponds to the building associated with Location 4. In some embodiments, the Add Building Target icon is shown when a building target has not yet been established for a location. In some embodiments, the Add Building Target icon may be replaced by a check mark indicating that a building target has been assigned to the location. In some embodiments, the Add Building Target icon may be included in, provided as an overlay, or otherwise shown in at least one of the user interfaces described herein.

[0327] refer to Fig.81 , displaying a user interface. In some embodiments, Fig.81 The user interface shown may be included in Fig.80 in, provided as an overlay or otherwise with Fig.80 For example, Fig.81 May include Fig.80 Similarly, Fig.81 A check mark may be included to indicate that a building target has been assigned and / or Fig.81 This may include adding a building target icon.

[0328] refer to Fig.82 In some embodiments, the information displayed, shown, or otherwise provided by the user interface may include information similar to Fig.49 , Fig.50 , Fig.51 , Fig.52 , Fig.69, Fig.70 , Fig.71 and / or Fig.72 In some embodiments, the user interface may include a calculation icon. An operator of the device displaying the user interface may select the calculation icon, hover over the calculation icon, or otherwise interact with the calculation icon. In some embodiments, the operator's interaction with the calculation icon may cause a calculation drop-down menu to be displayed. The calculation drop-down menu may be an overlay, a drop-down menu, or a menu item provided on top of the user interface. Fig.82 At least one of the user interface and / or pop-up window shown.

[0329] The Calculation drop-down menu provides information about how progress toward the business goal has been calculated. For example, Fig.82 It is shown that progress toward a business goal can be calculated by calculating a first difference between a baseline metric and a recent parameter value and then dividing the first difference by a second difference between the recent parameter value and a target parameter value. The first difference divided by the second difference can then be multiplied by 100 to provide progress toward the target percentage.

[0330] Similarly, the Calculation drop-down menu may provide information about how the progress relative to the baseline metric has been calculated. For example, Fig.82 It is shown that progress relative to a baseline metric can be calculated by calculating a first difference between the baseline metric and the most recent parameter value and then dividing the first difference by the baseline metric. The first difference divided by the baseline metric can then be multiplied by 100 to provide progress relative to the baseline metric.

[0331] refer to Fig.83 , displaying a user interface. The user interface may include a goals and metrics dashboard. In some embodiments, the user may select Figure 43 to Figure 45 The Next tab in the navigation bar is directed to the Goals and Metrics Dashboard. The dashboard may include a business goals summary and at least one location goals summary. The business goals summary may include information about emissions, energy, water, or waste. The information about emissions may include business goals. In some embodiments, the business goals may be graphs. Fig.26 , Fig. 27 or Fig.74 The business goal summary may include a current emissions value and a target emissions value. In some embodiments, the current emissions value is based on the usage data and the target emissions value is based on the business goal. In some embodiments, the location may include an overview tab. The business summary may also include progress toward the goal and progress relative to the baseline.

[0332] The location target summary may include a current emissions value and a target emissions value. The current emissions value may be at least one of a predicted year-end emissions value, an emissions value determined after a predetermined amount of time has passed (e.g., a value determined after 30 days), or any other possible measured emissions value. The target emissions value may be based on previously established business goals and / or location target values. The business goal summary or the location goal summary may include a prompt, an icon, or any other possible icon that may indicate that a building goal has not yet been set for the business and / or the location associated with the business. For example, Fig.83 Includes hints in the Location 4 Target Summary and hints in the Location 3 Target Summary. These hints may indicate that building targets have not yet been set for Location 4 and / or Location 3. Display Fig.83 The operator of the device selects the completed settings icon shown in at least one of the location 3 goal summary or the location 4 goal summary. In some embodiments, in response to the operator selecting at least one of the completed settings icons, a similar icon may be shown in the user interface. Figure 56 to Figure 66 Information of the information shown in at least one of the.

[0333] refer to Fig.84 , displaying a user interface. In some embodiments, Fig.84 The information shown may be similar to or include Fig.26 , Fig. 27 or Fig.74 For example, the user interface includes a window that allows the user to establish a business level goal. In some embodiments, the user can select Fig.73 The Add Target tab in the window is accessible Fig.84 The window may include a baseline value. The baseline value may correspond to an emissions metric that the operator has selected. For example, Fig.84 In FIG. 1 , the metric is energy usage intensity (EUI), and the baseline value is shown as 120 kBtu / sqft. An operator of the display may calculate an icon to be provided with information regarding how the baseline value may be calculated. For example, Fig.84 Includes baseline value calculation window.

[0334] The baseline value calculation window may be generated in response to an operator hovering over, selecting, or otherwise interacting with a calculation icon. The baseline calculation window may be Fig.84 At least one of an overlay, a drop-down menu window, or a pop-up window on top of the additional information shown. Fig.84It is shown that the baseline value can be calculated by dividing the total energy consumption by the total square footage. In some embodiments, the total energy consumption can correspond to the total energy consumption of at least one of the business, at least one location associated with the business, and / or at least one building associated with the business or the location associated with the business. In some embodiments, the total square footage can correspond to the total square footage of at least one of the business, at least one location associated with the business, and / or at least one building associated with the business or the location associated with the business.

[0335] In some embodiments, at least one business goal may be established. In some embodiments, the business goal may be established in response to an operator selecting and / or entering at least one of a goal category, a metric, an emissions range, a baseline year, a target year, and / or a target value, and once the information has been selected and / or entered, the operator may select a next icon to establish the business goal. For example, in the display Fig.24 The operator of the device in the user interface has selected and / or entered Fig.24 The information shown and the operator has selected Fig.24 The next icon shown is followed by establishing business objectives.

[0336] In some embodiments, a business goal may be a sustainability goal. A sustainability goal may be or include at least one target sustainability level. A sustainability goal may include at least one sustainability performance. A sustainability performance may be or include parameters. These parameters may be associated with the sustainability of a business. These parameters may be at least one of greenhouse gas emissions, electricity consumption, natural gas consumption, diesel consumption, and / or butane consumption. As described herein, a business may include at least one location, and these locations may include at least one building, and these buildings may include at least one piece of building equipment. Parameters may be associated with a business, a location, a building, a piece of building equipment, and / or any possible combination of a business, a location, a building, or a piece of building equipment. For example, a parameter may be how much electricity is consumed by a business in a predetermined amount of time (e.g., how much energy is consumed per day, per month, per year, or any other possible amount of time).

[0337] In some embodiments, the sustainability manager may cause the device to display a Fig.24 In some embodiments, the sustainability manager may cause the user device 318 to display a user interface that can be used to establish business goals (e.g., the user device 318 may display Fig.24 , Fig.25 or Fig.74 The sustainability manager may determine that the operator has selected and / or input a Fig.24The information shown and the operator has selected the next icon to establish the business goal. The sustainability manager, in response to establishing the business goal, may generate at least one target value for the parameter using the sustainability goal and the baseline value for the parameter included in the sustainability goal. In some embodiments, the target value may be established in response to the operator providing the target value to the sustainability manager. For example, the target value may have been entered by the operator into Fig.24 In some embodiments, the sustainability goal may be a percentage reduction in a parameter and / or the sustainability goal may be a net zero date. For example, the sustainability goal may be to reduce total emissions by 90%. The sustainability manager may generate a target value using a sustainability goal of reducing total emissions by 90%.

[0338] In some embodiments, the sustainability manager may, in response to generating the target value, identify at least one control action that may satisfy the target value. The control action may be at least one of adjusting a set point (e.g., a temperature set point for a building or a zone of a building, an equipment runtime set point, a lighting set point, etc.), a control scheme, a control strategy, and / or any other possible action that may be taken to control a piece of building equipment.

[0339] The sustainability manager may provide the control actions to a business manager (e.g., an operator who established the business objectives). The business manager may select a subset of the control actions. The sustainability manager may, in response to receiving an indication, cause the business manager to accept the subset of control actions and use the subset of control actions to operate one or more pieces of building equipment.

[0340] Reference now Fig.85 , a flow chart of process 8500 for improving the sustainability of a group of one or more buildings is shown according to an exemplary embodiment. The group of one or more buildings may be or include building 10. Building 10 may be or be included in at least one location of a business. For example, building 10 may be located in a first campus of a business and the business may include multiple campuses. Building 10 may contribute to its own sustainability and / or the sustainability of the business. In some embodiments, at least one step of process 8500 may be performed by system 300 and / or its components. For example, sustainability advisor 320 may perform at least one step of process 8500. In some embodiments, at least one step of process 8500 may be performed by a sustainability manager and / or its components. In some embodiments, at least one step of process 8500 may be performed by a Figure 8 In some embodiments, at least one step of process 8500 may be performed by system 900 and / or its components.

[0341] In step 8505, operational data may be received. For example, the sustainability manager may receive operational data related to a group of one or more buildings. The group of one or more buildings may be or include building 10. The operational data may be or include operational data for one or more pieces of equipment included in the group of one or more buildings and / or one or more pieces of equipment serving the group of one or more buildings. The operational data may be or include at least one of current operational data and / or historical operational data. For example, the operational data may be an average of the operational data over a set amount of time (e.g., an average over an hour, a day, a week, a month, a year, and a decade). The operational data may be or include data similar to facility data 312, utility access data 316, and / or any other data stored and / or located in data storage device 324.

[0342] In step 8510, a baseline sustainability performance may be determined. The baseline sustainability performance may be determined using the operational data received in step 8505. For example, the sustainability manager may determine a baseline energy consumption level (e.g., baseline sustainability performance) using a utility bill retrieved by the energy bill retrieval system 304. The baseline sustainability performance may also be a collection of baseline levels. For example, the baseline sustainability performance may be a collection of baseline values ​​for electricity consumption, emissions, water consumption, waste generation, and / or other sustainability factors and / or metrics described herein.

[0343] The baseline sustainability performance may be provided to the user. For example, the baseline sustainability performance may be provided to a user associated with the user device 318. The baseline sustainability performance may be or be included in a sustainability report generated by the analyzer 408. The baseline sustainability performance may be provided as a user interface displayed on and / or by the user device 318, similar to Fig.28 The user interface shown.

[0344] In step 8515, a sustainability goal may be established. A sustainability goal may be established for a group of one or more buildings. For example, a sustainability goal may be established for building 10. The sustainability goal may improve the sustainability of a group of one or more buildings. For example, the sustainability goal may improve the sustainability of building 10. The sustainability manager may establish the sustainability goal using the baseline sustainability performance determined in step 8510. The sustainability goal may also be established by a user selecting an icon included in and / or on a user interface that displays the baseline sustainability performance. For example, the sustainability goal may be established by the sustainability manager in response to a user selecting an icon in the user interface that displays the baseline sustainability performance. Fig. 27 The next icon shown in the dialog box is used to create the new one.

[0345] The sustainability goal may include at least one target sustainability level and at least one time frame for achieving the target sustainability level. For example, the target sustainability level may be for building 10, reducing annual carbon emissions from 1000 tco2e (one ton of carbon dioxide equivalent) to 100 tco2e. The time frame may be the amount of time set aside to achieve the target sustainability level. For example, the time frame may be 10 years, and in this example, along with the example of reducing annual carbon emissions of a building (e.g., building 10) to 100 tco2e (e.g., the target sustainability level), the sustainability goal includes reaching 100 tco2e within 10 years.

[0346] In step 8520, one or more operational changes may be generated. Operational changes may be generated in response to the establishment of sustainability goals in step 8515. Operational changes may be generated by a sustainability manager. The sustainability manager may use the baseline sustainability performance from step 8510 and the sustainability goals from step 8515 to generate operational changes. Operational changes may include one or more pieces of equipment and / or be related to one or more pieces of equipment. For example, operational changes may be related to the equipment pieces described in step 8505. Operational changes may be or include at least one of control actions, control strategies, equipment maintenance, equipment repair, equipment replacement, additional and / or subsequent equipment piece modifications and / or other FIMs described herein. For example, operational changes may be adjusting the temperature set point for at least one of a room, zone, floor and / or building. Operational changes may also be replacing a boiler with a more energy-efficient boiler. Similarly, operational changes may include providing additional solar power generation systems and / or devices (e.g., solar photovoltaic (PV) cells, fuel cells, energy storage devices). Operational changes may move the sustainability of a building toward a target sustainability level. For example, operational changes may cause and / or assist building 10 in reducing its annual carbon emissions from a baseline value (eg, baseline sustainability performance) to an established target sustainability level.

[0347] In step 8525, an operational change may be output. The operational change may be the operational change generated in step 8520. The operational change may be output by the sustainability manager. For example, the sustainability manager may output the operational change by providing the operational change to the equipment piece affected by the operational change. Similarly, the operational change may be output to the user via a user device (e.g., user device 318). For example, the operational change may include performing maintenance on one of the building equipment pieces affected by the operational change, and the operational change may include alerting a maintenance worker and / or company that may service the building 10 and / or perform maintenance on the affected building equipment piece.

[0348] Configuration of the Exemplary Embodiment

[0349] The construction and arrangement of the systems and methods shown in the various exemplary embodiments are illustrative only. Although only a few embodiments are described in detail in the present disclosure, many modifications are possible (e.g., changes in the size, scale, structure, shape and proportion, parameter values, installation arrangements, use of materials, colors, orientations, etc. of various elements). For example, the position of the element may be reversed or otherwise changed, and the nature or number or position of the discrete element may be changed or changed. Therefore, all such modifications are intended to be included in the scope of the present disclosure. The order or sequence of any process or method steps may be changed or reordered according to alternative embodiments. Without departing from the scope of the present disclosure, other substitutions, modifications, changes and omissions may also be made in the design, operating conditions and arrangement of the exemplary embodiments.

[0350] The present disclosure contemplates methods, systems, and program products on any machine-readable medium for completing various operations. The embodiments of the present disclosure may be implemented using an existing computer processor, or by a dedicated computer processor for an appropriate system (for the purpose of implementing the embodiments of the present disclosure or another purpose), or by a hard-wired system. Embodiments within the scope of the present disclosure include program products comprising a machine-readable medium for carrying or having machine-executable instructions or data structures stored thereon. Such machine-readable media may be any available medium that can be accessed by a general-purpose or special-purpose computer or other machine with a processor. For example, this machine-readable medium may include a RAM, ROM, EPROM, EEPROM, CD-ROM or other optical disk storage device, a magnetic disk storage device or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of a machine-executable instruction or data structure and can be accessed by a general-purpose or special-purpose computer or other machine with a processor. The above combination is also included in the scope of the machine-readable medium. Machine-executable instructions include, for example, instructions and data that cause a general-purpose computer, a special-purpose computer, or a special-purpose processing machine to perform a specific function or group of functions.

[0351] Although the accompanying drawings show a specific order of method steps, the order of steps may be different from that depicted. Also, two or more steps may be performed simultaneously or partially simultaneously. Such variations will depend on the selected software and hardware systems and the designer's choice. All such variations are within the scope of the present disclosure. Similarly, software implementations may be implemented with rule-based logic and standard programming techniques for implementing other logics of various connection steps, processing steps, comparison steps, and decision steps.

Claims

1. A building management system (BMS), the BMS comprising one or more memory devices having stored thereon instructions which, when executed by one or more processors, cause the one or more processors to: receiving, for a group of one or more buildings, operational data for the group of buildings, the operational data comprising at least one of current or historical operational data; determining a baseline sustainability performance based on the operational data for the set of buildings; establishing a sustainability goal for the group of buildings to improve the sustainability of the group of buildings from the baseline sustainability performance, the sustainability goal comprising a target sustainability level and a time frame for achieving the target sustainability level; generating a plurality of control actions for a plurality of pieces of building equipment of the group of buildings using the baseline sustainability performance and the sustainability target to move the sustainability of the group of buildings toward the target sustainability level; as well as The plurality of pieces of building equipment are controlled using the control actions.

2. The BMS of claim 1 , wherein the sustainability goal comprises a goal to improve a sustainability level affected by a plurality of sustainability characteristics of the building, and wherein the instructions cause the one or more processors to: determining target characteristic levels for the plurality of sustainability characteristics using the baseline sustainability performance and the sustainability goal to generally achieve the target sustainability level over the time frame; and A second plurality of control actions are generated using the target characteristic levels for the plurality of sustainability characteristics to move operations of the group of buildings toward the target characteristic levels.

3. The BMS according to claim 1, wherein generating the control action comprises: generating a first control action for a first set of one or more pieces of building equipment in a first building equipment domain based on a first target characteristic level for a first sustainability characteristic of the plurality of sustainability characteristics; as well as A second control action is generated for a second set of one or more pieces of building equipment in a second building equipment domain different from the first building domain based on a second target characteristic level for a second sustainability characteristic of the plurality of sustainability characteristics.

4. The BMS of claim 1 , wherein the instructions cause the one or more processors to: receiving an indication to update the target sustainability level, wherein the indication comprises a user-defined target sustainability level related to the sustainability goal for the group of buildings; determining, using the user-defined target sustainability level and the sustainability goal, that the user-defined target sustainability level satisfies the sustainability goal; as well as The target sustainability level is updated to reflect the user-defined target sustainability level.

5. The BMS of claim 1 , wherein the instructions cause the one or more processors to: receiving second operational data for the group of buildings in response to using the control action to control the plurality of pieces of building equipment; determining a current sustainability performance using the second operational data for the set of buildings, wherein the current sustainability performance is determined in response to a predetermined time period; determining a difference between the current sustainability performance and the baseline sustainability performance; as well as In response to the difference being greater than a predetermined threshold, it is determined that the sustainability of the group of buildings has improved. 6 . The BMS of claim 1 , wherein the instructions cause the one or more processors to cause a user interface to display elements, wherein the elements include the target sustainability level, the baseline sustainability performance, and a difference between the target sustainability level and the baseline sustainability performance.

7. The BMS of claim 1 , wherein the instructions cause the one or more processors to: establishing a second sustainability goal for a particular building in the group of buildings, wherein the second sustainability goal comprises a second target sustainability level associated with the particular building in the group of buildings; and A second plurality of control actions are generated using the second target sustainability level and a second baseline sustainability performance, the second plurality of control actions moving the sustainability of the particular building in the group of buildings toward the second target sustainability level.

8. The BMS of claim 7, wherein the instructions cause the one or more processors to: receiving an indication to update the second target sustainability level, wherein the indication comprises a second user-defined target sustainability level; and The second target sustainability level is updated to reflect the second user-defined target sustainability level in response to determining that the second user-defined target sustainability level satisfies the second sustainability goal.

9. The BMS of claim 1 , wherein the instructions cause the one or more processors to: establishing a third sustainability goal for a particular building in the group of buildings, wherein the third sustainability goal comprises a third target sustainability level, wherein the particular building comprises a second plurality of pieces of building equipment; and One or more control actions are generated for the second plurality of pieces of building equipment using the third target sustainability level and a third baseline sustainability performance to move the sustainability of the particular building toward the third target sustainability level.

10. The BMS of claim 9, wherein the instructions cause the one or more processors to: controlling the second plurality of pieces of building equipment using the one or more control actions; receiving operational data for the second plurality of pieces of building equipment; and using the operational data for the second plurality of pieces of building equipment to determine that the sustainability of the particular building has moved toward the third target sustainability level 11. The BMS of claim 1 , wherein the sustainability of the set of buildings is related to at least one of: Carbon emissions; Greenhouse gas emissions; Power consumption; Natural gas consumption; Diesel consumption; or Butane consumption.

12. A method of improving the sustainability of a group of one or more buildings, the method comprising: receiving, by one or more processors for the group of buildings, operational data for the group of buildings, the operational data comprising at least one of current or historical operational data; determining, by the one or more processors for the group of buildings, a baseline sustainability performance based on the operational data; establishing, by the one or more processors for the group of buildings, a sustainability goal to improve the sustainability of the group of buildings from the baseline sustainability performance, the sustainability goal comprising a target sustainability level and a time frame for achieving the target sustainability level; generating, by the one or more processors, one or more operational changes to a plurality of pieces of building equipment for the group of buildings using the baseline sustainability performance and the sustainability target to move the sustainability of the group of buildings toward the target sustainability level; as well as The generated operational changes are output by the one or more processors.

13. The method of claim 12, wherein the sustainability goal comprises a goal of improving a sustainability level affected by a plurality of sustainability characteristics of the building, and the method comprises: determining, by the one or more processors, target characteristic levels for the plurality of sustainability characteristics using the baseline sustainability performance and the sustainability goal to generally achieve the target sustainability level over the time frame; as well as A plurality of control actions are generated, by the one or more processors, using the target characteristic levels for the plurality of sustainability characteristics to move operations of the group of buildings toward the target characteristic levels.

14. The method according to claim 12, comprising: generating, by the one or more processors, a first control action for a first set of one or more pieces of building equipment in a first building equipment domain based on a first target characteristic level for a first sustainability characteristic of the plurality of sustainability characteristics; as well as A second control action is generated, by the one or more processors, for a second set of one or more pieces of building equipment in a second building equipment domain different from the first building domain based on a second target characteristic level of a second sustainability characteristic of the plurality of sustainability characteristics.

15. The method according to claim 12, comprising: receiving, by the one or more processors, an indication to update the target sustainability level, wherein the indication comprises a user-defined target sustainability level related to the sustainability goal for the group of buildings; determining, by the one or more processors, using the user-defined target sustainability level and the sustainability goal, that the user-defined target sustainability level satisfies the sustainability goal; as well as The target sustainability level is updated, by the one or more processors, to reflect the user-defined target sustainability level.

16. The method of claim 12, wherein outputting the generated operational changes comprises generating recommendations to implement the one or more operational changes, and wherein the method further comprises: receiving, by the one or more processors, approval to implement the one or more operational changes; generating a control action to implement the operational change; as well as The building equipment is controlled using the generated control actions.

17. The method according to claim 12, comprising: establishing, by the one or more processors, a second sustainability goal for a particular building in the group of buildings, wherein the second sustainability goal comprises a second target sustainability level associated with the particular building in the group of buildings; as well as A plurality of control actions are generated, by the one or more processors, using the second target sustainability level and a second baseline sustainability performance, the plurality of control actions moving the sustainability of the particular building in the group of buildings toward the second target sustainability level.

18. A carbon reduction system for a building, the carbon reduction system comprising one or more memory devices having stored thereon instructions which, when executed by one or more processors, cause the one or more processors to: receiving operational data for the building, the operational data comprising at least one of current or historical operational data; determining a baseline value for carbon emissions for the building based on the operational data; as well as A carbon reduction target is established for the building to improve carbon emissions for the building from the baseline value for carbon emissions, the carbon reduction target comprising a target value for carbon emissions and a time frame for achieving the target value for carbon emissions.

19. The carbon reduction system of claim 18, wherein the instructions cause the one or more processors to: generating a plurality of control actions for a plurality of pieces of building equipment of the building using the baseline value for carbon emissions and the carbon reduction target to move the sustainability of the building toward the target value for carbon emissions; and The plurality of pieces of building equipment are controlled using the control actions.

20. The carbon reduction system of claim 18, wherein the instructions cause the one or more processors to: receiving second operational data for the building in response to controlling a plurality of pieces of building equipment of the building using a plurality of control actions; determining a current value for carbon emissions using the second operational data for the building, wherein the current value for carbon emissions is determined in response to a predetermined time period; determining a difference between the current value for carbon emissions and the baseline value for carbon emissions; as well as In response to the difference being greater than a predetermined threshold, it is determined that the sustainability of the building has moved toward the target value for carbon emissions.

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