Energy management device and energy management method

Abstract

An energy management system and method are provided that support increased energy efficiency, cost reduction, and active participation in the demand response (DR) market in multi-tenant buildings. [Solution] The energy management device calculates the maximum demand for daily power consumption in a building tenant based on the energy demand patterns of each of the multiple building tenants, selects the resource with the closest performance that is equal to or greater than the maximum demand plus the amount of power required for DR support, selects the energy resource for the plan to introduce energy resources to the building, creates an energy resource operation plan including the building's power purchase data linked to market-linked prices based on a prediction of the energy demand patterns of each building tenant, manages the energy resources based on the operation plan during normal times when DR is not requested, and manages the building's energy resources into DR categories when DR is requested.

Description

[Technical Field]

[0001] The present invention relates to an energy management device and an energy management method that effectively solve the problems of energy management and power demand adjustment in buildings occupied by multiple tenants, and support the improvement of energy efficiency, cost reduction, and active participation in the DR (Demand Response) market. [Background technology]

[0002] As background art in this technical field, Patent Document 1 discloses an energy trading support device that includes a first period baseline creation unit that creates a first period baseline, which is a baseline for a predetermined time unit based on an energy supply and demand forecast for a first period, and a contract support unit that generates a plan related to the energy supply and demand amount specified in an energy purchase and sale contract based on the first period baseline. [Prior art documents] [Patent documents]

[0003] [Patent Document 1] Japanese Patent Application Publication No. 2023-105485 Summary of the Invention [Problem to be solved by the invention]

[0004] The technology disclosed in Patent Document 1 makes it easier for participants in the demand response market (DR market) to predict their power usage and smoothly trade power based on that prediction. This allows for more efficient planning of power usage and makes it easier to understand the timing of power saving requests. However, this technology does not take into consideration flexible adjustment of power demand in buildings with multiple tenants, participation in the DR market by multiple businesses in a single building while guaranteeing each other's power usage ratios, fair management of power usage ratios among tenants during DR responses or emergencies, or business continuity for tenants during DR. As a result, participation in the DR market and fair use of storage batteries in buildings with multiple tenants cannot be achieved, which may prevent reductions in power costs by maximizing the energy efficiency of the entire building.

[0005] A specific challenge is that in buildings with multiple tenants, each tenant's energy usage patterns are different, making it difficult to adjust overall electricity demand. Particularly when participating in the demand response market, complex coordination is required to ensure cooperation over a certain period of time, such as a year, when a demand response request is made, with a set amount of energy consumed, say 20 kWh per request. Furthermore, the introduction and operation of energy storage assets requires investment and management between the building owner and tenants, taking into account subsidies from local governments and other sources. This creates complex management issues, such as determining the battery capacity based on the investment ratio between the two parties, adjusting the utilization rate of storage capacity in response to demand response and emergencies, and maintaining fairness in electricity usage during normal times.

[0006] Therefore, in order to solve the above-mentioned problems, the present invention aims to provide an energy management device and an energy management method that effectively solve the problems of energy management and power demand adjustment in buildings occupied by multiple tenants, and support improved energy efficiency, cost reduction, and active participation in the DR market. [Means for solving the problem]

[0007] A representative example of the invention disclosed in the present application is as follows: That is, an energy management device for managing energy consumption by a building occupied by multiple tenants includes: an introduction plan creation unit that calculates a maximum demand, which is an average value of hourly energy demand on a day when the average daily power consumption in the building is at its maximum, based on the energy demand patterns of each of the multiple tenants, and selects energy resources for a plan to introduce energy resources into the building by selecting resources with an amount of power equal to or greater than the calculated maximum demand plus an amount of power required for DR support and having performance closest to the amount of power; an operation plan creation unit that creates an energy resource operation plan including power purchase data for the building associated with a market-linked price, based on a prediction of the energy demand patterns of each of the multiple tenants; and an electricity storage / thermal classification management unit that manages the energy resources of the building based on the operation plan during normal times when DR is not requested, and manages the energy resources of the building in the DR classification when DR is requested. [Effects of the Invention]

[0008] The present invention can effectively solve the problems of energy management and power demand adjustment in buildings occupied by multiple tenants. Advantages other than those mentioned above will be described in the detailed description of the invention. [Brief explanation of the drawings]

[0009] [Figure 1a] 1 is a block diagram showing the overall configuration of an energy management system. [Figure 1b] 1 is a block diagram showing the overall configuration of an installation and operation planning system according to a first embodiment. [Figure 2] FIG. 10 is a diagram illustrating an example of the configuration of a server that stores market-linked prices. [Figure 3a] FIG. 10 is a diagram illustrating an example of a data configuration of a DR request storage unit. [Figure 3b] FIG. 10 is a diagram illustrating an example of a data configuration of a DR response / reward storage unit. [Figure 4a]FIG. 10 is a diagram showing an example of the data configuration of user / building data (building owner). [Figure 4b] FIG. 10 is a diagram showing an example of the data configuration of user / building data (building tenants). [Figure 5] FIG. 10 is a diagram illustrating an example of a data configuration of a tenant business. [Figure 6] FIG. 2 illustrates an example of a data configuration of tenant equipment. [Figure 7a] FIG. 2 is a diagram showing an example of the data configuration of energy demand data (average power consumption). [Figure 7b] FIG. 2 is a diagram showing an example of the data configuration of energy demand data (maximum demand). [Figure 8a] FIG. 10 is a diagram illustrating an example of a data configuration of DR-compatible capacity data. [Figure 8b] FIG. 2 is a diagram illustrating an example of a data configuration of storage battery catalog data. [Figure 8c] FIG. 2 is a diagram illustrating an example of a data configuration of introduced storage battery data. [Figure 9a] FIG. 10 is a diagram illustrating an example of a data configuration of storage battery investment ratio data. [Figure 9b] FIG. 10 is a diagram illustrating an example of a data configuration of tenant investment data. [Figure 9c] FIG. 10 is a diagram illustrating an example of a data configuration of total storage battery investment data. [Figure 10a] FIG. 2 is a diagram illustrating an example of a data configuration of storage battery management data. [Figure 10b] FIG. 2 is a diagram illustrating an example of a data configuration of storage battery short-circuit prediction data. [Figure 10c] FIG. 2 is a diagram illustrating an example of a data configuration of market electricity data. [Figure 10d] FIG. 2 is a diagram illustrating an example of a data configuration of power purchase data. [Figure 11a] FIG. 10 is a diagram illustrating an example of a data configuration of DR request data. [Figure 11b] FIG. 2 is a diagram illustrating an example of a data configuration of tenant correspondence data. [Figure 11c] FIG. 2 is a diagram illustrating an example of a data configuration of DR support data. [Figure 12a] FIG. 10 is a diagram illustrating an example of a data configuration of DR remuneration data. [Figure 12b] FIG. 10 is a diagram illustrating an example of the data configuration of incentive / penalty data. [Figure 13] 10 is a flowchart illustrating an example of a planning process in the energy management apparatus. [Figure 14] 10 is a flowchart showing an example of the process of step S1304. [Figure 15] 10 is a flowchart showing an example of the process of step S1309. [Figure 16] 10 is a flowchart showing an example of the process of step S1308. DETAILED DESCRIPTION OF THE INVENTION

[0010] Before describing the embodiments of the present invention, an outline of the present invention will be described. To solve the above-mentioned problems, the energy management device according to the present disclosure uses three solutions.

[0011] First, energy resources (such as batteries, thermal storage devices, and electric vehicles (EVs)) are managed in two distinct categories: normal and DR. The system calculates the maximum demand for each tenant's energy usage based on their energy usage patterns, summing their maximum power consumption. This calculation ensures that the required capacity is met while also ensuring the required energy capacity. This management method clearly separates energy resources into two distinct categories: normal and DR. During normal usage, the system purchases, stores, and utilizes the cheapest electricity appropriate to each tenant's usage pattern based on the electricity market-linked price. Importantly, the DR category ensures a certain amount of DR capacity is guaranteed when a DR request is made. During peak shaving and peak shifting periods, this system ensures that each tenant can respond to a certain amount of DR while ensuring the minimum amount of energy necessary for business continuity. In this way, appropriately controlling the allocation of energy storage capacity for DR response and peak shifting facilitates the adjustment of energy demand throughout the building, enabling effective participation in the DR market.

[0012] Second, the system requests tenants to respond to DR requests when certain amounts of stored energy resources must be used, or when only the energy resources' energy resources must be used. DR requests require a certain amount of power usage or non-usage. Therefore, cooperation below a certain amount denies participation in the DR market, ultimately resulting in no incentives. By receiving a YES / NO response from the system, the system controls energy storage assets and optimizes power usage. Furthermore, when requesting DR responses, the system provides recommendations tailored to tenants' work schedules, helping them to cooperate with DR requests while maintaining business continuity. By making a best-effort effort to cooperate with DR and generating DR reserve capacity (storage battery capacity that can respond to DR requests) throughout the building, effective DR participation, incentives, and energy cost reductions are maximized. This approach enables more practical and effective energy management and DR responses that take into account tenants' specific needs and business processes.

[0013] Third, the right to use storage capacity will be clearly defined according to each tenant's investment ratio, and the amount of available electricity will be adjusted based on the investment ratio during demand response (DR) or emergencies. Furthermore, tenants will be given the option to avoid capacity restrictions by paying a certain fee, and the fee structure will also be determined based on the investment ratio. This will ensure fairness in the investment and use of energy storage assets, while maximizing the energy efficiency of the entire building and the effectiveness of participation in the demand response market.

[0014] Hereinafter, a mode for carrying out the present invention will be described as an embodiment with reference to the drawings. In this embodiment, an example of an energy management device will be described using an energy resource (hereinafter, storage battery) installed by a building owner who manages and owns a building, i.e., a building, and multiple tenants. The multiple tenants include a fitness gym with spa facilities, an office, an imaging diagnostic center (a clinic equipped with MRI and CT), and a restaurant. In addition, the building owner receives subsidies from a local government, and may consider the subsidies that are applied when installing storage batteries. Note that the energy management device and energy management method according to the present invention are not limited to these embodiments.

[0015] (Information Processing) First, an example of the presentation process according to this embodiment will be described with reference to FIGS. 1a and 1b. FIG. 1a is a block diagram showing the overall configuration of an energy management system according to this embodiment. The presentation process according to this embodiment is performed by an energy management device 100 shown in FIG. 1b. A user terminal 10 is a terminal device used by a building owner or a tenant manager. The user terminal 10 is, for example, a smartphone, a tablet terminal, a general PC (Personal Computer), a desktop PC, a mobile phone, or a PDA (Personal Digital Assistant). The energy management system is configured by connecting the energy management device 100 and the user terminal 10 via a network N. The network N is, for example, a LAN (Local Area Network) or a WAN (Wide Area Network), and may be a wireless or wired network.

[0016] The energy management system is further connected to an external server A30 and an external server B40 via a network N. An example of an external server connected to the energy management device in FIG. 1a via the network N will be described with reference to FIGS. 2 and 3. FIG. 2 is a diagram showing an example of the configuration of a server storing market-linked prices. In this embodiment, a building purchases electricity under a contract based on the market-linked price. The energy management device 100 accesses the external server A30 via the network N. The external server A30 has a market-linked price storage unit X1. The external server A30 is, for example, a server device that provides information on the market-linked price of electricity up to the day before the electricity purchase. The external server A30 cooperates with businesses that purchase electricity from electricity retailers at the market-linked price, enabling registered businesses to view the market-linked price information. In this embodiment, the information is viewable by electricity retailers and businesses that purchase electricity at the market-linked price, but the data viewing authority of the external server A30 is not limited to this. Furthermore, although it is stated that market-linked prices are provided by the day before, the market-linked prices for the day may be presented earlier than the day before. In the following explanation, demand response will be simply referred to as DR.

[0017] 3a and 3b are diagrams illustrating an example of a DR request storage unit and a DR response / reward storage unit in an external server. The external server B40 includes a DR request storage unit X2 and a DR response / reward storage unit X3. The external server B40 provides DR request information, for example, up to 10 days before DR is implemented, and when the DR request is completed, provides information on rewards based on the DR response implemented by the business operator. The external server B40 integrates and controls consumer-side storage batteries and distributed storage batteries, and contracts or cooperates with an aggregation coordinator, which is a business operator that provides energy services from VPPs (Virtual Power Plants) and DR, enabling businesses registered as users to view the information. In this embodiment, the DR request information provided in the DR request storage unit X2 is assumed to arrive at least 10 days in advance, but the DR request may arrive earlier or sooner. Furthermore, in this embodiment, the energy purchase and sale contract (power purchase and sale contract) that the aggregation coordinator assists in concluding includes an energy power purchase contract (procurement contract), an energy power sales contract (supply contract), and content or conditions related to energy supply and demand. The content related to energy supply and demand, for example, defines the energy supply amount, maximum and minimum values ​​of energy demand, price, rewards and penalties for demand suppression and demand creation, and conditions for determining, changing, or calculating the energy supply amount and energy demand amount for the entire contract period or for each of the divided periods. The aggregation coordinator generates a plan related to the energy supply and demand specified in the energy purchase and sale contract and proposes it to the contracted or affiliated business operator. The contracted or affiliated business operator concludes the energy purchase and sale contract based on the plan proposed by the aggregation coordinator (or accepts the plan as is). The business operator in this case may be a so-called resource aggregator and does not have to be a building operator.

[0018] In this embodiment, DR refers to changing the power demand pattern by controlling energy resources on the consumer side. Here, in this embodiment, the consumer refers to a building owner, and the energy resources refer to power generation facilities, power storage facilities, and load facilities. A VPP is a system that provides functions equivalent to those of a power plant by controlling power generation facilities and charging facilities directly connected to a grid. Incentive DR is a transaction in which an aggregation coordinator or the like implements DR for consumers based on instructions from a general electricity distribution company, an electricity retailer, or the like based on a prior contract (energy purchase and sale contract), and receives an incentive as compensation in return. Downward DR is DR that suppresses demand. For example, implementing downward DR is an action to refrain from using electricity at a certain time. Upward DR is DR that increases demand. For example, implementing upward DR is an action to use more electricity than usual at a certain time. Incentive-type DR is called negawatt trading. This embodiment targets businesses that engage in negawatt trading.

[0019] The components of this system will now be described. The energy management device 100 has a communication unit 110, a control unit 120, and a storage unit 140. The control unit 120 includes a user management unit 121, an energy demand calculation unit 122, an installed storage battery calculation unit 123, a storage battery investment ratio calculation unit 124, a storage battery management unit 125, a storage battery short-circuit prediction calculation unit 126, a purchased power calculation unit 127, a DR support feasibility calculation unit 128, a DR support unit 129, an incentive / penalty calculation unit 130, and an information presentation / acquisition unit 131. The storage unit 140 includes user / building data 141, tenant business data 142, tenant facility data 143, energy demand data 144, DR compatible capacity data 145, battery catalog data 146, installed battery data 147, battery investment ratio data 148, tenant investment data 149, total battery investment data 150, battery management data 151, battery short-circuit prediction data 152, market power data 153, power purchase data 154, DR request data 155, tenant correspondence data 156, DR compatible data 157, DR remuneration data 158, and incentive / penalty data 159. The energy management device 100 is realized using a general PC (Personal Computer) or server. In addition to the above-mentioned components, the energy management device 100 is composed of a processor such as a CPU 111, a ROM 112, a RAM 113, a non-volatile memory unit 114, a communication unit for connecting to other devices, an input unit 115 such as a keyboard, mouse, or touch panel for user input, and a display unit 116 for displaying processing results, all of which are connected to a data bus 117.

[0020] The energy management device 100 according to this embodiment is a computer system configured on one physical computer or on multiple logically or physically configured computers, and may operate on a virtual computer constructed on multiple physical computer resources. For example, multiple programs that realize the functions of the energy management device according to the present invention may each operate on separate physical or logical computers, or multiple programs may be combined and operate on a single physical or logical computer.

[0021] The program executed by the CPU 111 may be provided to the charge / discharge management device according to the present invention from a removable medium (such as a CD-ROM or a flash memory) or via a network and stored in a non-transitory storage medium, such as an HDD. Therefore, the charge / discharge management device according to the present invention may have an interface for reading data from removable media.

[0022] In this embodiment, an example will be described in which a building owner and multiple tenant managers access the energy management device 100 using a user terminal 10 and create an energy management plan using various data held by the energy management device 100.

[0023] The building owner registers the building for which the energy management plan is to be developed, information about the building, the current contracted power, the number of tenants, the investment information required for energy resource deployment, the energy capacity available for DR requests, and reference information about the energy resources to be deployed. Multiple tenant managers register the tenant's industry, energy resource investment amount, tenant equipment and the amount of power required by that equipment, information about the tenant's business, and tenant energy demand information. The energy management device 100 determines the energy resources to be deployed by referencing the energy operation patterns of the multiple tenants, the capacity available for DR requests determined by the building owner, the energy resource reference information, and the investment ratios of the multiple tenants to the energy resources. The energy management device 100 further defines the usage division of energy resources during normal and DR periods, and determines the usage ratios of energy resource capacity for each tenant during DR and emergencies such as disasters, based on the investment ratios of the multiple tenants. At this time, an option is also set for each tenant that allows them to avoid capacity restrictions on energy resource usage during DR and disasters, based on their usage ratios, for a set fee. Furthermore, the energy management apparatus 100 normally purchases electricity based on a market-linked price during times when electricity is cheap and stores it in the energy resource. During times when electricity is expensive, the energy management apparatus 100 purchases energy only if the amount of electricity stored in the energy resource does not meet the energy demand of multiple tenants, and utilizes the purchased and stored electricity. When a DR request is received, the energy management apparatus 100 aggregates the responses of the multiple tenants as YES / NO regarding whether or not they can respond to the DR request. At this time, the energy management apparatus 100 maximizes the percentage of tenant cooperation by presenting the multiple tenants with a work schedule for DR response based on their business data. For tenants who cannot respond to the DR request, the energy management apparatus 100 refers to capacity limit exemption data and exempts them from the capacity limit according to the tenant's capacity limit value, while receiving compensation for the exemption from the tenant.In this example, we will continue to introduce the energy resource as a storage battery, but the energy resource is not limited to a storage battery, and it can also be a heat storage device, or any other form of resource that can store and utilize energy. In this example, we will create such a management plan.

[0024] Next, with reference to FIGS. 4a to 12b, an example of the configuration of the various databases of the energy management device shown in FIG. 1b will be described. FIGS. 4a and 4b are diagrams showing an example of the configuration of user / building data 141. The user / building data 141 stores information about buildings and tenants for which energy management plans are being planned, such as building owners and building tenants who are the target users of the energy management device 100. For example, the user / building data (A) building owner shown in FIG. 4a includes the following items: a user ID 401 that uniquely identifies the user; a building ID 402 that identifies the target building; a building name 403 that indicates the name of the building; a location (address) 404 that indicates the location (address) of the building; an industry type 405 that indicates the industry of the user; a contracted power (A) 406 that indicates the power contracted by the user; and a number of tenants 407 that indicates the number of tenants in the building. In this embodiment, if a user, i.e., a building owner O001, owns multiple buildings with the building ID 401, any number of buildings for which an energy management plan is being developed may be registered. Furthermore, while the "DR request response capacity" is listed as specific values ​​of 20 kWh and 10 kWh, these values ​​may be replaced with any other specific values. The user / building data (B) building tenant shown in Figure 4b stores information about building tenants who reside in buildings owned by the building owner. For example, it contains items such as a building ID 408, which identifies the building; a tenant ID 409, which identifies the tenant; a tenant name 410, which indicates the name of the tenant; and an industry type 411, which is information about the tenant's industry. However, the information stored is not limited to these; additional data may be added as needed, and the listed specific values ​​may be replaced with any other specific values.

[0025] FIG. 5 is a diagram illustrating an example of the configuration of tenant business data 142. The tenant business data 142 stores data on the type of business of each tenant, the devices used by each date, and the number of devices in operation. For example, in the example of FIG. 5, the tenant business data 142, which is information identifying the business of a tenant, includes items such as a tenant ID 501, which is information identifying the tenant; a tenant name 502 indicating the name of the tenant; an industry type 503 indicating the type of business of the tenant; a date 504 indicating the date on which the tenant performed business; a used device 505 indicating the device used on that date; and business data 506 indicating the number of devices in operation per hour. The numbers 0 to 24 listed under the “Business Data (Number of Devices in Operation Per Hour)” column in the business data (number of devices in operation per hour) 506 indicate the time slot from 1:00 AM to 1:00 AM on that date. For example, a “1” in this time slot indicates the time slot from midnight to 1:00 AM on that day, and the number of devices in operation corresponding to that time slot is the number of devices in operation during that time slot. This number can be the average number for that time period. This average number can be rounded up or down to an integer. However, the information stored is not limited to this; additional data can be added as needed, and the specific values ​​described can be replaced with any other specific values. In this embodiment, business data is calculated by referencing past data and inputting the power consumption of the devices in use and the number of devices in operation per hour. However, the input format can be bulk registration, such as a CSV file. Furthermore, in this embodiment, the power consumption categories of the devices in use 505 are divided into 500 kW or more and 500 kW or less. However, this is not limited to this. More detailed data obtained by attaching sensors to each device can be used as needed. In addition, while the business data (number of devices in operation per hour) 506 uses items that divide business data into one-hour intervals, data can be divided into time intervals as needed. Finally, while the date 504 indicates the business data for the past two days, the period of business data stored as data can be long, such as one month or one year, or even shorter, and can be updated daily.

[0026] FIG. 6 shows an example of the data structure of tenant equipment data 143. The tenant equipment data 143 includes data on equipment owned and utilized by tenants and various values ​​necessary for calculating their power consumption. For example, the data includes items such as a tenant ID 601, which identifies the tenant; a tenant name 602, which indicates the name of the tenant; an industry type 603, which indicates the type of business of the tenant; equipment 604, which indicates the equipment owned by the tenant; a number 605, which indicates the number of pieces of equipment; a power consumption per unit 606, which indicates the power consumption per piece of equipment; and a daily usage time 607, which indicates the amount of time the equipment is used per day. In this embodiment, specific names and numerical values ​​are listed for equipment 604, number 605, power consumption per unit 606, and daily usage time 607, but these values ​​may be replaced with any specific numerical values. Furthermore, while the tenant equipment data 143 is used to calculate the power consumption of tenants, if power consumption data on tenant devices is extracted using sensors or the like, the structure of this data may be changed or the data may be integrated with tenant business data 142.

[0027] 7a and 7b show examples of the configuration of energy demand data 144. Energy demand data 144 is data used by the energy demand calculation unit 122 to calculate the average power consumption (kWh) of tenants based on user / building data 141, tenant business data 142, and tenant equipment data 143 entered by the building owner and building tenants. The energy demand calculation unit 122 calculates the maximum demand for a storage battery based on the average power consumption (kWh) of the tenants and the input data. For example, the average power consumption shown in FIG. 7a includes items such as a building ID 701, which identifies the building; a date 702, which indicates the day corresponding to the average power consumption information; and an average power consumption (kWh) (average power consumption per hour) 703, which indicates the average power consumption on the date 702. The energy demand data (B) maximum demand shown in FIG. 7b includes items such as a building ID 704, which identifies the building; a date 705, which indicates the day corresponding to the average power consumption information; and a maximum energy demand (kWh) (average power consumption per hour) 706. However, the information held is not limited to this, and additional data may be added as necessary, and the specific numerical values ​​described may be replaced with any specific numerical values. Furthermore, the maximum demand referred to here refers to the amount of power consumption during the time period when power consumption is high on the day when the average power consumption value obtained by adding up the average values ​​for each hour of the day is the highest among the days for which data is entered, but if detailed device power consumption data for each tenant is obtained using sensors or the like, the maximum demand may be calculated by referring to that data.

[0028] 8a, 8b, and 8c show examples of data configurations related to the introduction of storage batteries. DR compatible capacity data 145 and storage battery catalog data 146 are data used, together with energy demand data 144, when calculating the storage batteries to be introduced in the introduced storage battery calculation unit 123. The introduced storage battery data 147 is data related to the storage batteries calculated by the introduced storage battery calculation unit 123. Here, the DR compatible capacity data 145 will be explained first.

[0029] The DR-compatible capacity data 145 shown in FIG. 8a is data entered by the building owner O001 indicating the capacity that the building owner O001 wishes to accommodate when receiving a DR request. For example, the data includes items such as a user ID 801, a building ID 802, and a DR-request compatible capacity 803. However, the information held is not limited to these; additional data may be added as needed, and the listed specific numerical values ​​may be replaced with any specific numerical values. The building owner O001 can use the DR-request compatible capacity 803 to secure a predetermined ratio as a DR-compatible category when receiving a DR request. This ratio varies depending on the data entered by the building owner O001 into the DR-request compatible capacity 803.

[0030] The storage battery catalog data 146 shown in FIG. 8b is data on commercially available storage batteries that the storage battery calculation unit 123 needs to determine which storage batteries to install when installing storage batteries in a building owned by the building owner O001 after confirming the equipment specifications that the building owner O001 has determined to be installable. For example, the data includes items such as a resource ID 804, a resource name 805, a price 806, a model 807, a lease amount (M yen / year) 808, a required installation area 809, an output 810, and a capacity 811. However, the information stored is not limited to these, and additional data may be added as needed, and the listed specific numerical values ​​may be replaced with any specific numerical values. Furthermore, in this embodiment, only storage batteries that the building owner O001 has confirmed to be installable are input as data, but confirmation by the building owner O001 is not required. In this embodiment, the storage battery catalog data 146 is input by the building owner O001 after confirming whether or not a storage battery can be installed. However, this data can also be input by other businesses, such as a storage battery sales company or leasing company, and any entity can input the data. As explained above, the installed storage battery calculation unit 123 can be said to create an energy resource installation plan that determines what type of storage battery should be installed. The energy demand calculation unit 122 and the installed storage battery calculation unit 123 can be collectively referred to as the installation plan creation unit 1220. The installation plan creation unit 1220 creates an energy resource installation plan, allowing the building owner O001 to install energy resources with a capacity that satisfies the maximum demand of the energy demand data 144 of the building they own, but does not fall below that maximum demand. Similarly to the capacity, the price 806, type 807, lease amount (¥ / year) 808, required installation area 809, and output 810 of the energy resource can also be used to install energy resources that meet the capital and required functions provided by the building owner O001.

[0031] 8c is data related to a storage battery that has been determined to be installed by the installed storage battery calculation unit 123. For example, the data includes items such as a resource ID 812 that is information for identifying the resource, a resource name 813 that indicates the name of the resource, a price 814 that indicates the price of the resource, a format 815 that indicates format information of the resource, a lease amount (M yen / year) 816 that indicates the lease amount of the resource, a required installation area 817 that indicates the area required to install the resource, an output 818 that indicates the output of the resource, and a capacity 819 that indicates the capacity of the resource. However, the information held is not limited to these, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0032] 9a to 9c show data configurations related to storage battery investment. The storage battery investment ratio data 148 and tenant investment data 149, together with the installed storage battery data 147, are data used when the storage battery investment ratio calculation unit 124 determines the ratio of the investment amount to be invested by the building owner O001 and the investment amount to be invested by the building tenants from the capacity and price of the storage battery to be installed, and further calculates the investments of multiple building tenants and allocates authority over storage battery capacity by referring to the investment ratios of the multiple building tenants. The storage battery overall investment data 150 is data indicating the investment ratio for storage batteries in the entire building estimated by the storage battery investment ratio calculation unit 124. Here, the storage battery investment ratio data 148 will be explained first.

[0033] 9a is data stored when the ratio of the investment amount contributed by the building owner O001 and the investment amount contributed by the building tenants is determined based on the capacity and price of the storage battery to be installed, after first referencing the DR request response capacity 803 entered by the building owner O001. For example, the data includes items such as a resource ID 901 that identifies the resource, a resource name 902 that indicates the name of the resource, a price 903 that indicates the price of the resource, a capacity 905 that indicates the capacity of the resource, a DR capacity 906, a tenant capacity 907, an owner investment amount 908, and a tenant investment amount 909. However, the information held is not limited to these, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0034] 9b is data used when requesting investments from multiple building tenants and allocating authority over storage battery capacity by referring to the investment ratios of the multiple building tenants. For example, the data includes items such as a tenant ID 910, which is information identifying a tenant, a tenant name 911, which indicates the name of the tenant, an investment ratio 912, which indicates the investment ratio of the tenant, and a storage battery investment amount 913, which indicates the amount of investment the tenant has made in the storage battery. However, the information held is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0035] 9c is data indicating the investment rate for storage batteries for the entire building estimated by the storage battery investment rate calculation unit 124. For example, the data includes items such as a resource ID 914 that is information for identifying the resource, a resource name 915 that indicates the name of the resource, a price 916 that indicates the price of the resource, an overall investment rate 917, an owner investment amount 918, an owner investment rate 919, a tenant investment amount 920, and a tenant investment rate 921. The information held is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0036] 10a to 10d show an example of data structure related to the operation of the storage battery.

[0037] The storage battery management data 151 shown in FIG. 10a is data used by the storage battery management unit 125 to determine the current state of the installed storage battery. For example, the data includes items such as a resource ID 1001, which is information identifying a resource; a resource name 1002, which indicates the name of the resource; a date (current time) 1003, which indicates the current time; a capacity 1004, which indicates the capacity of the resource; a charge amount 1005, which indicates the charge amount of the resource on the date; and a charge rate 1006, which indicates the charge rate of the resource. The information held is not limited to these, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values. Furthermore, the date (current time) 1003 is a time that changes from moment to moment, and is not a fixed value.

[0038] 10b stores data calculated by the battery short-circuit prediction calculation unit 126 with reference to the battery management data 151. For example, the data includes items such as a resource ID 1007, which is information for identifying a resource, a resource name 1008, which indicates the name of the resource, a short-circuit prediction (date and time) 1009, which indicates the date and time when a short circuit of the battery is predicted, a capacity 1010, a charge amount 1011, and a charge rate 1012. The information held is not limited to these, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0039] 10c temporarily stores data from the market-linked price memory unit X1 of the external server A30, which is used by the purchased power calculation unit 127 when calculating the timing for charging the storage battery by referring to the storage battery short-circuit prediction data 152. For example, the market power data 153 has items such as a price ID 1013 that is information identifying the price information of the market power, a date 1014 that indicates the date of the information on the price, a time 1015 that indicates the time of the information on the price, and a price 1016 that indicates the price corresponding to the price ID. The information stored is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0040] The power purchase data 154 shown in FIG. 10d stores power purchase timing data calculated by the power purchase calculation unit 127 with reference to the market power data 153. The power purchase data 154 includes, for example, a price ID 1017, which identifies market power price information; a date 1018 indicating the date of the price information; a time 1019 indicating the time of the price information; and a price 1020 indicating the price corresponding to the price ID. The stored information is not limited to these; additional data may be added as needed, and the specific numerical values ​​may be replaced with any specific numerical values. The data on the timing at which the storage battery should be charged and the power purchase timing data calculated by the power purchase calculation unit 127 represent an operation plan for charging the storage battery, which is an energy resource. The power purchase calculation unit 127 can also create an operation plan for an energy resource linked to a market-linked price, which is a price linked to the energy market. The power purchase calculation unit 127 can be referred to as an operation plan creation unit. By purchasing electricity associated with the market-linked price under normal circumstances based on the energy resource operation plan created by the operation plan creation unit, electricity can be purchased under normal circumstances at a time when the market electricity price ID 1017, the date 1018 indicating the date of the information about the price, the time 1019 indicating the time of the information about the price, and the price 1020 indicating the price corresponding to the price ID are cheap. A time when the market price is cheap refers to the lowest market price between 0.01 yen and 10 yen. However, cheap times are not limited to this, and electricity may be purchased at a time when the price is lower than the average price of all times in the date data for April 1, 2024, for example.

[0041] 11a to 11c show examples of DR request data 155, tenant correspondence data 156, and DR correspondence data 157 as data configurations related to DR correspondence.

[0042] 11a is data that temporarily stores data in the DR request storage unit X2 of the external server B40, and is used by the DR supportability calculation unit 128 when determining whether or not a DR request is required. For example, the data includes items such as a DR ID 1101, which is information for identifying the DR, a date 1102 indicating the date of the DR, a start time 1103 indicating the start time of the DR, an end time 1104 indicating the end time of the DR, an increase DR capacity 1105, and a decrease DR capacity 1106. The information held is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0043] 11b stores data obtained as a response from a building tenant when the DR support capability calculation unit 128 determines that a DR request is made. For example, the data includes items such as a tenant ID 1107, which is information for identifying the tenant, a tenant name 1108, which indicates the name of the tenant, a support capability 1109, which indicates whether the tenant can cooperate with the DR request, and an investment ratio 1110, which indicates the investment ratio of the tenant. The information held is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0044] The DR support data 157 shown in FIG. 11c is data temporarily stored in the DR support / reward storage unit X3 of the external server B40 when the DR support availability calculation unit 128 determines that DR support is possible and the DR support unit 129 implements DR support. The data includes items such as a DR ID 1111, which is information for identifying the DR, a date 1112 indicating the date of the DR, a start time 1113 indicating the start time of the DR, an end time 1114 indicating the end time of the DR, an increase DR capacity 1115, a decrease DR capacity 1116, and a support capacity 1117. The information held is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0045] 12a and 12b show examples of DR remuneration data 158 and incentive / penalty data 159 as data configurations related to DR remuneration.

[0046] 12a is data related to the reward in the DR response / reward storage unit X3 of the external server B40, which is temporarily stored when the DR response unit 129 performs DR response. The DR reward data 158 has items such as a DR ID 1201, which is information for identifying the DR, a date 1202 indicating the date of the DR, a start time 1203 indicating the start time of the DR, an end time 1204 indicating the end time of the DR, an increased DR capacity 1205, a supported capacity 1206, and a reward 1207. The information held is not limited to this, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0047] The incentive / penalty data 159 shown in FIG. 12b stores the results calculated by the incentive / penalty calculation unit 130 based on the DR remuneration data 158 and the tenant correspondence data 156 when estimating remuneration for the building owner O001 and building tenants who have implemented DR measures. The incentive / penalty data 159 includes, for example, items such as a target 1208, which is information identifying attributes that are subject to an incentive or penalty, an ID 1209, which is information identifying a specific tenant, etc., for the target, a name 1210 indicating the name of the tenant, etc., identified by the ID 1209, an incentive 1211 indicating an incentive related to the matter identified by the ID 1209, and a penalty 1212 indicating a penalty related to the matter identified by the ID 1209. The information held is not limited to these, and additional data may be added as needed, and the specific numerical values ​​described may be replaced with any specific numerical values.

[0048] With the above configuration, specific processing of the energy management device 100 in this embodiment will be described with reference to FIGS. 13 to 16. FIG.

[0049] FIG. 13 shows an example of a usage flow of the planning function in the energy management device 100, and specific processing of the energy management system will be described mainly with reference to FIG. 13. FIG. 13 shows a flow in which a building owner O001 and all building tenants in a building owned by the building owner O001 use the energy management device 100. First, the building owner O001 and the building tenants input user / building data 141, tenant business data 142, and tenant facility data 143 (S1301). The user management unit 121 associates the user / building data 141 with the ID of each user and input data. Based on the tenant business data 142 and tenant facility data 143, the energy demand calculation unit 122 calculates the average power consumption P at time t from data on the amount of power consumption Pi(t) of each building tenant at time t in the past. - (t) is calculated. Equation (1) shows the formula used to calculate the average power consumption. Here, i represents the type of building tenant, and n represents the number of building tenants. The calculated average power consumption of all building tenants is stored in the average power consumption of energy demand data 144 shown in Figure 7a. Furthermore, from among the days for which data is input, the power consumption of the day when the sum of the average values ​​for each hour of the day is the largest is stored as maximum demand Dmax in the maximum demand of energy demand data 144(B) shown in Figure 7b. Maximum demand Dmax is the average power consumption P -(t). This maximum demand Dmax calculation process is performed by the energy demand calculation unit 122 in step S1302. Equation (2) is the equation used to calculate the maximum demand Dmax. Here, the variable t is the time period from 1 to 24 in the business data (number of operating units per hour) 506 in FIG. 5. Therefore, time t can also be called the time period t. Equation 2 means that the calculation within Σ on the right side is performed for all days in the range for which the maximum demand is to be obtained, and the energy demand data for the day with the maximum value is extracted using the max calculation to obtain Dmax. By performing the calculation described above for each building tenant, the maximum demand Dmax for each building tenant can be obtained. It can be said that each tenant's past power consumption data represents each tenant's energy demand pattern. Therefore, the above-mentioned maximum demand Dmax can be said to be the maximum demand calculated based on the energy demand patterns of multiple tenants. Based on the data stored in the maximum demand of energy demand data 144(B) shown in FIG. 7b, DR compatible capacity data 145 which is data entered by the building owner O001 when he receives a DR request as shown in FIG. 8a, and storage battery catalog data 146 entered by the building owner O001, an energy introduction plan is formulated by the introduction storage battery calculation unit 123, and the capacity of the storage battery to be introduced is calculated.

[0050]

number

[0051]

number

[0052] Next, the number of storage batteries to be installed is calculated, and each tenant is notified of their investment (S1303). Each tenant who has been notified of their investment refers to their own past power consumption and the amount of power they would like to use in the event of an emergency such as a disaster, and determines the amount of investment at their own discretion. An energy resource installation plan can be created by the installation storage battery calculation unit 123 in step S1303. Next, the storage batteries to be installed are decided, and the process moves to step S1304, which is the process for installation.

[0053] A detailed processing flow of step S1304 is shown in FIG.

[0054] In the flow of Fig. 14, first, the DR compatible capacity data 145 is input to the energy management apparatus 100 (S1401). This is data entered by the building owner O001 indicating the capacity that the building owner O001 wishes to accommodate when he or she receives a DR request. This capacity that the building owner O001 wishes to accommodate is set as the DR compatible capacity Cdr. As a result, the energy management apparatus 100 acquires the DR compatible capacity data 145 as shown in Fig. 14.

[0055] Next, the building owner O001 inputs the storage battery catalog data 146 into the energy management apparatus 100 (S1402). This is data on commercially available storage batteries that the installed storage battery calculation unit 123 needs to determine the storage battery to be installed when installing a storage battery in a building owned by the building owner O001, after checking the equipment specifications that the building owner O001 has determined to be installable. As a result, the energy management apparatus 100 acquires the storage battery catalog data 146 as shown in FIG.

[0056] Finally, the building owner O001 inputs the maximum demand in the energy demand data 144(B) into the energy management device 100 (S1403). As explained above, the value of the maximum demand Dmax is input. As a result, the energy management device 100 obtains the energy demand by tenant, as shown in FIG. 14. The capacity Q of the storage battery to be installed is calculated from the sum of the maximum demand Dmax and the DR-compatible capacity Cdr. Equation (3) shows the formula used to calculate the capacity of the storage battery to be installed. The capacity closest to the calculated capacity Q is selected from the storage battery catalog data 146, and if a candidate is found, it is stored in the installed storage battery data 147 (S1404). The data stored in the installed storage battery data 147 is then used in the normal classification by the storage battery management unit 125. When a DR instruction is received from the aggregator via the network N, data is acquired from the external server B, and the DR support calculation unit 128 and the DR support unit 129 perform operations for DR support in order to respond to the DR request. The introduced storage battery data 147 shown in FIG. 8c stores one resource, but multiple resources may be stored.

[0057]

number

[0058] Next, the battery investment ratio calculation unit 124 calculates the investment method for the building owner O001 and the building tenants, assuming that the total investment required for installing the storage battery is 100% and the smallest unit that a joint purchaser can purchase is 1% per share (S1405). First, assuming that the price 814 in the installed storage battery data 147 is the total investment amount C and the capacity 819 is the total capacity Q of the storage battery, the price P for 1% of the shares is calculated. Equation (4) shows the formula used to calculate the price P for 1% of the shares. Based on the price P for 1% of the shares calculated in this way, the investment ratios of the building owner O001 and the building tenants are calculated. These data are stored in the battery investment ratio data 148, the capacity required by the building owner O001 for DR-compatible capacity is stored in the DR capacity 906, and the required investment amount is stored in the owner investment amount 908. The building owner O001 must invest a value similar to the value stored in the owner investment amount 908. The capacity allocated to each building tenant is stored in the tenant capacity 907, and the investment amount to be invested by all building tenants is stored in the tenant investment amount 909. Based on this tenant investment amount 909, multiple building tenants make investments together, with the tenant investment amount 909 being 100%. When notifying tenants to invest, the building tenants are notified after explaining that their battery capacity authority and investment percentage are balanced. Based on this explanation, the tenants input their desired investment percentage 912 into the tenant investment data 149. This input can be made from the input unit 115. At this time, if the investment percentage exceeds or falls below 100%, input operations can be made until the investment percentage reaches 100%.

[0059] When the investment percentage 912 is entered, the battery investment amount 913 is displayed simultaneously, allowing the building tenant to confirm the investment percentage and investment amount before deciding on the investment (S1406). The data entered at this time is stored in the tenant investment data 149. The processing described herein, including step S1406, can be performed by the battery investment percentage calculation unit 124. The battery investment percentage calculation unit 124 may further include a power storage / heat classification management unit that manages energy resources such as batteries as a DR category and a normal category, respectively, during DR request periods when a DR request is made and during normal times when a DR request is not made. The power storage / heat classification management unit can define energy resources as a DR category or a normal category based on input from the building owner O001 or a building tenant. Energy resources defined as a DR category are managed as a DR category and can be used as energy resources when a DR request is made. Energy resources defined as a normal category are managed and used based on an operation plan during normal times when a DR request is not made. The DR classification and normal classification can be managed by the power storage / thermal classification management unit based on the introduction plan created by the introduction plan creation unit 1220 and the operation plan created by the operation plan creation unit. The DR classification can be used in responding to DR. The DR classification makes it possible to reliably guarantee a certain amount of DR capacity required when a DR request is made, and at the time of peak cutting or peak shifting, it becomes possible to respond to a certain amount of DR while securing the minimum amount of power required for each tenant's business continuity.

[0060] Next, the authority to use the storage battery capacity is allocated based on the investment ratio of the tenants (S1407). The amount of storage energy q that each shareholder can enjoy is allocated according to the investment ratio of each tenant to the total capacity of the building tenants. Formula (5) shows the formula used to calculate the amount of storage energy q that each shareholder can enjoy. The data entered in this way is stored in the total storage battery investment data 150. After the data is stored in the total storage battery investment data 150, the investment ratio 912 and the storage battery investment amount 913 of the tenant investment data 149 are determined.

[0061] When the investment ratio 912 of this tenant investment data 149 is determined, the utilization ratio of the storage battery capacity in the event of an emergency such as a disaster is set based on the tenant investment ratio (S1408). After the processing of step S1408 is completed, the process proceeds to step S1305 in FIG. 13.

[0062]

number

[0063]

number

[0064] Next, the storage battery whose introduction has been decided is introduced into the building, and first the storage battery is charged until its capacity reaches 100% (S1305). The decision to introduce a storage battery into a building may be made by the building owner, who recognizes the decision via the display unit 116. This charging may also be performed by the building owner in the same manner, or the building owner may notify the energy management device 100 via the input unit 115 that a storage battery has been introduced into the building, and the energy management device 100 may then perform the charging using a charging device to which the storage battery is connected. The storage battery management unit 125 manages the status of the storage battery. When the storage battery has been charged until its capacity reaches 100%, the charging device can notify the storage battery management unit 125 of this fact via the input unit 115.

[0065] Next, in order to predict the time when the storage battery will be completely discharged, the storage battery short circuit prediction calculation unit 126 manages the state of the storage battery and also performs short circuit prediction, which is a prediction of the timing when the storage battery will be completely discharged (S1306). The state of the storage battery is monitored in real time, and the data is successively stored in the storage battery management data 151. When a storage battery short circuit prediction is performed for the next day at, for example, 9 p.m. based on this storage battery management data 151, the amount of power consumed by the storage battery is calculated as the average power consumption P -(τ). For the calculation, the total capacity Q [kWh] of the storage battery is referenced from the capacity 1004 in the storage battery management data 151, and the initial remaining amount S(0) [kWh] of the storage battery is referenced from the charge amount 1005. Equation (6) shows the remaining amount S(t) of the storage battery calculated for time t, and the time T when a short circuit will occur. The equation used to calculate S(t) by subtracting the power consumed by integration (or discrete sum) from the initial remaining amount S(0) is shown. The short circuit time T can be found by solving T for which S(T) = 0.

[0066]

number

[0067] Next, the DR supportability calculation unit 128 checks whether or not a DR request has been made (S1307). If a DR request has been made in step S1307, the process proceeds to step S1309.

[0068] A detailed processing flow of step S1309 is shown in FIG. 15. If there is a DR request in the DR request data 155, the energy management apparatus 100 notifies the building tenants of a cooperation request based on the DR request (S1501). The presence or absence of a DR request can be determined by detecting new records in the DR request data 155 that have not yet been responded to. In this embodiment, the DR request is notified two weeks in advance, so the processing of notification regarding the cooperation request described above is also performed two weeks before the DR request. Next, a check is made for tenants who cannot respond (S1502). In response to the cooperation request notified to the building tenants, each building tenant replies to the requester of the DR request, such as the aggregator, that they accept or cannot respond to the DR request. This reply can be made via the network N.

[0069] Here, the energy management apparatus 100 can perform tenant cooperation, requesting cooperation from each tenant when a DR request is made, and controlling energy resources based on the response. At this time, the energy management apparatus 100 notifies the user terminal 10 of the building tenant of the DR cooperation request via the network N. Upon receiving this notification, the building tenant inputs whether or not they accept the DR cooperation request. By this operation, when a response regarding DR support is received from at least one of the multiple tenants, tenant cooperation can be performed, controlling energy resources such as storage batteries. By performing tenant cooperation, it becomes easier to respond to the DR request even if there is a tenant that cannot support the DR request, by controlling energy resources such as storage batteries.

[0070] If there are no tenants that cannot respond, the DR request is accepted, but if there are tenants that cannot respond, a decision is made as to whether or not they can participate in DR (S1503). To make this decision, it is necessary to compare the capacity required for DR with the storage battery capacity that is actually available. Although the capacity required for DR is secured in advance when the storage battery is installed, this measure is necessary in the unlikely event that the building tenant does not use that capacity. First, let Q be the capacity of the installed storage battery, qi be the storage battery capacity according to the investment ratio of building tenant i, and r be the capacity ratio required for DR. This capacity ratio is the ratio of the capacity required for DR to the installed storage battery capacity Q. Furthermore, let A be the set of building tenants that can participate in DR, and B be the set of building tenants that cannot participate. Equation (7) expresses the storage battery capacity Q owned by building tenants that can participate in DR. A The formula used to calculate this is as follows. Furthermore, the total capacity of the storage batteries that building tenants who are allowed to participate have the right to use is Q Ais equal to or greater than the capacity rQ required for DR. Equation (8) shows the equation used to determine whether the total capacity of the storage batteries is equal to or greater than the capacity rQ required for DR. If this condition is met, the total storage battery capacity of the participating investors can meet the DR requirements, and it is determined that they are eligible to participate in DR. Conversely, if this condition is not met, it is determined that the minimum storage battery capacity required for DR is not reached, and they are determined not to participate in DR (NO in S1504). If it is determined that they are eligible to participate in DR (YES in S1504), the reward that the available tenant will receive from the unavailable tenant is calculated (S1505). The storage battery capacity qi that the unavailable tenant i should provide is defined by Equation (9), and the storage battery capacity Δqi that the available tenant will provide additional coverage for is defined by Equation (10). In Equation (10), qj is the storage battery capacity provided by tenant j. Depending on the additional coverage capacity, the available tenant may receive a reward for the amount actually covered by the unavailable tenant, separate from the DR reward. This makes it possible to secure the minimum amount of power required for the plurality of tenants to carry out their business when a DR request is made, while also securing energy to cooperate with the DR request.

[0071]

number

[0072]

number

[0073]

number

[0074]

number

[0075] If it is determined that participation in DR is not possible, the building tenant pays a penalty to the building owner (S1506). Currently, there is no penalty when a DR participating business is unable to participate in DR. However, in this embodiment, in order to compensate the building owner, who is a DR participating business, for the reward that he would have received by participating in DR, the building tenant will bear the penalty to the building owner. The amount to be borne in this case is the reward that he would have received by participating in DR, which is the total penalty amount. Equation (11) shows the equation used to calculate the penalty.

[0076]

number

[0077] If there is no DR request in step S1307, the purchased power calculation unit 127 performs normal management of the storage battery (S1308).

[0078] If there is no DR request in S1307, the detailed processing flow in step S1308 is shown in Fig. 16. The energy management device 100 first acquires storage battery short-circuit prediction data 152 and market power data 153, which is the power market price for the next day and thereafter (S1601). The prices in the market power data 153 are linked to the market, so they can be called market-linked prices. The market power data 153 can be called market-linked price data.

[0079] Next, it is determined whether or not power can be purchased the next day (S1602). First, variables are defined. The price in the electricity market at time t (unit: yen / kWh) is P(t), the amount of power consumed at time t (unit: kWh) is C(t), the remaining capacity of the storage battery at time t (unit: kWh) is B(t), and the time when a short circuit of the storage battery is predicted is S. The objective function at this time is shown as Equation (12). T in Equation (12) is the set of time periods to be considered. As constraints, the constraints on the time periods during which power can be purchased are shown in Equations (13-1) and (13-2), and the constraint on preventing a short circuit of the storage battery is shown in Equation (14). In this embodiment, numerical values ​​are input in advance as the constraints on the time periods during which power can be purchased. If it is determined in step S1602 that power can be purchased, power is purchased (S1603). The purchased power is stored and used as needed (S1604).

[0080] If it is determined that power cannot be purchased, a new emergency power purchase constraint is added, and equation (12) is calculated again (S1605). The constraint condition for emergency power purchase is shown in equation (15). If, based on the calculation including this constraint, the battery capacity is decreasing faster than the short-circuit prediction, power is purchased even during times when power rates are high (S1603). The remaining charge of the battery is updated based on consumption and charging, and this update is performed using equation (16). If it is determined that power cannot be purchased and the battery capacity is sufficient, no power is purchased (S1606). These models are dynamically updated based on the daily power price P(t) and the short-circuit prediction, and the power purchase schedule for the next day is planned based on the calculation results at 9 p.m. each day. At 9 p.m., for example, a power purchase plan is created based on the next day's power market price, the predicted building point plan, and power consumption.

[0081]

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[0082]

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[0083]

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[0084]

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[0085]

number

[0086] Next, DR support is implemented (S1309). The DR support unit 129 implements DR support based on the DR request data 155 and the tenant support data 156. In this embodiment, the DR support unit 129 responds to the DR request as being able to participate, and the result is stored in the DR support data 157.

[0087] Next, a reward and a penalty are calculated based on the DR performance (S1310). The incentive / penalty calculation unit 130 calculates an incentive and a penalty based on the DR implementation of the building tenant. At this time, the reward corresponding to the DR reward data 158 is stored in the reward 1207. Based on this reward 1207, rewards for the building owner O001 and the building tenants are calculated based on the investment ratios for the storage battery, and the calculated rewards are stored in the incentive / penalty data 159. Based on the data stored in the incentive 1211, the building owner O001 distributes rewards to himself and the building tenants. Furthermore, based on the data stored in the penalty 1212, the target building tenant distributes penalties to other tenants.

[0088] The energy management device 100 is an energy management device for a building occupied by multiple tenants, and can include: an introduction plan creation unit that calculates a maximum demand, which is the average hourly energy demand on the day when the average daily power consumption in the building is at its highest, based on the energy demand patterns of each of the multiple tenants; selects resources that have an amount of power equal to or greater than the calculated maximum demand plus the amount of power required for DR support and have performance closest to that amount of power, thereby selecting energy resources for a plan to introduce energy resources into the building; an operation plan creation unit that creates an energy resource operation plan including power purchase data for the building associated with market-linked prices based on predictions of the energy demand patterns of each of the multiple tenants; and an electricity storage / thermal classification management unit that manages the energy resources of the building based on the operation plan during normal times when DR is not requested, and manages the energy resources of the building into DR classifications when DR is requested; and can further request the multiple tenants to cooperate with DR when a DR request is made, and collect information on whether the multiple tenants will cooperate with the request.

[0089] The energy management device 100 configured in this way can effectively solve the problems of energy management and power demand adjustment in a building occupied by multiple tenants, and can provide an energy management plan that improves energy efficiency, reduces costs, and supports active participation in the DR market. In addition, the function of the contract support unit can provide a certain amount or more of the energy supply and demand specified in the energy purchase and sale contract when responding to DR, allowing for DR response with a margin.

[0090] The energy management device 100 can further include an energy resource introduction plan creation unit that, when introducing building energy resources into a building occupied by multiple tenants, reserves a predetermined percentage of the capacity of the building's energy resources to be introduced as a DR response category. At this time, the building owner uses DR request response capacity 803 as the DR response category. The data entered into DR request response capacity 803 is arbitrary data entered by the building owner, and a predetermined percentage of the building's energy resource capacity is reserved as the DR response category based on this data and the capacity 819 of the introduced storage battery data 147 shown in FIG. 8c. Thanks to the operation of this energy resource introduction plan creation unit, it is possible to secure and guarantee the power capacity required to respond to a DR request.

[0091] The battery management unit 125 purchases the energy used by the building that satisfies the energy operation pattern representing the amount of electricity required to carry out the business of multiple tenants based on the electricity market-linked price, stores and utilizes the energy, and manages the state of the battery. The battery management unit 125 can purchase, store, and utilize energy that is suitable for each tenant's energy operation pattern, including the amount of electricity required to carry out each tenant's conventional business, based on the electricity market-linked price.

[0092] The DR support capability calculation unit 128, when a DR request is made, secures the minimum amount of power required for multiple tenants to carry out their business, while also securing energy to cooperate with the DR request, and determines whether or not a DR request is made. The DR support capability calculation unit 128, when a DR request is made, can realize a predetermined amount of cooperation with the DR request while securing the minimum amount of power required for business continuity.

[0093] The DR response unit 129 receives a response from at least one of the tenants regarding whether or not they will cooperate with the DR request, and implements DR response that maximizes the control of the building's energy resources. The DR response unit 129 can maximize the control of energy resources by receiving responses from tenants regarding whether or not they will cooperate with the DR request on the system.

[0094] The energy management device 100 may further include a DR reserve capacity maximization unit that generates a DR reserve capacity for the entire building, and maximizes an incentive for cooperation with DR and a reduction in electricity costs for the building. The DR reserve capacity maximization unit generates a DR reserve capacity for the entire building, and maximizes the incentive and a reduction in electricity costs.

[0095] The energy management device 100 can further include a DR capacity securing unit that, when a DR request is received by a plurality of tenants and at least some of the plurality of tenants respond to the DR request, limits are set on the amount of power usage of the tenants on the day the DR is performed, and ensures compensation for an energy capacity corresponding to a predetermined amount of DR. The DR capacity securing unit makes it possible, when a tenant responds to DR upon receiving a DR request, to ensure compensation for a predetermined amount of DR capacity by setting limits on the amount of power usage of the tenants on the day.

[0096] The energy management device 100 can further include a capacity limit exemption unit in which the capacity of the energy resources installed in a building occupied by multiple tenants is determined bilaterally between the building owner and the tenants, taking into account subsidies from local governments and the like, the ratio of the energy resource capacity that can be used in response to DR and in emergencies changes according to the investment ratio of each tenant in the energy resources, all tenants can use power according to their own conventional energy operation patterns under normal circumstances, and although restrictions are imposed on tenants' power use when a DR request is made, tenants whose power use is restricted can be exempted from the energy resource capacity limit for response to DR by paying a specified fee. The capacity limit exemption unit allows tenants to be exempt from the capacity limit by paying a certain fee.

[0097] Although the present invention has been described in detail above with reference to the accompanying drawings, the present invention is not limited to such specific configurations and includes various modifications and equivalent configurations within the spirit of the appended claims. Furthermore, the above-mentioned "section, module, unit" can be read as "means" or "circuit," etc. For example, an acquisition unit can be read as an acquisition means or an acquisition circuit.

[0098] Furthermore, the aforementioned configurations, functions, processing units, processing means, etc. may be realized in part or in whole in hardware, for example by designing them as integrated circuits, or may be realized in software by having a processor interpret and execute a program that realizes each function.

[0099] Information such as programs, tables, and files that realize each function can be stored in a storage device such as a memory, a hard disk, or an SSD (Solid State Drive), or in a recording medium such as an IC card, an SD card, or a DVD.

[0100] In addition, the control lines and information lines shown are those that are considered necessary for the explanation, and do not necessarily show all the control lines and information lines in the product. In reality, it can be assumed that almost all components are interconnected.

[0101] The present invention is not limited to the above-described embodiments, and various other applications and modifications are possible without departing from the gist of the present invention as set forth in the claims. For example, the above-described embodiments have been described in detail to clearly explain the present invention, and the present invention is not necessarily limited to those including all of the described configurations. Furthermore, part of the configuration of one embodiment may be replaced with the configuration of another embodiment. Furthermore, the configuration of another embodiment may be added to the configuration of one embodiment. Furthermore, part of the configuration of each embodiment may be added to, deleted from, or replaced with other configurations. [Explanation of symbols]

[0102] 100 Management device 110 Communications Department 120 control section 121 User Management Department 122 Energy Demand Calculation Department 123 Battery Introduction Calculation Section 124 Battery Investment Ratio Calculation Section 125 Storage Battery Management Department 126 Battery Short Circuit Prediction Calculation Unit 127 Purchased Power Calculation Unit 128 DR Compatibility Calculation Unit 129 DR Support Department 130 Incentive and Penalty Calculation Section 131 Information Presentation / Acquisition Department 140 Storage section 141 user and building data 142 Tenant Business Data 143 Tenant Facility Data 144 Energy Demand Data 145 DR capacity data 146 Battery Catalog Data 147 Installed battery data 148 Battery Investment Percentage Data 149 Tenant Investment Data 150 Total Battery Investment Data 151 Battery Management Data 152 Battery Short Prediction Data 153 Market Power Data 154 Electricity Purchase Data 155 DR Request Data 156 Tenant-Aware Data 157 DR compatible data 158 DR Reward Data 159 Incentive and Penalty Data

Claims

1. An energy management device that manages energy consumption in a building occupied by multiple tenants, an introduction plan creation unit that calculates a maximum demand, which is an average value of energy demand per hour on a day when the average daily power consumption in the building is at its maximum, based on the energy demand patterns of each of the multiple tenants, and selects a resource that has an amount of power equal to or greater than the calculated maximum demand plus an amount of power required for DR support and has performance closest to the amount of power, thereby selecting an energy resource for a plan to introduce energy resources into the building; an operation plan creation unit that creates an energy resource operation plan including power purchase data for the building associated with a market-linked price based on a prediction of each of the plurality of tenants' energy demand patterns; An energy management device characterized by comprising: a power storage / heat classification management unit that manages the building's energy resources based on the operation plan during normal times when DR is not requested, and manages the building's energy resources into DR classifications when DR is requested.

2. 2. The energy management device of claim 1, The energy management device requests the plurality of tenants to cooperate with the DR when the DR request is made, and collects information on whether the plurality of tenants are willing to cooperate with the request.

3. 2. The energy management device of claim 1, The energy management device further comprises an energy resource introduction plan creation unit that, when introducing energy resources into a building occupied by multiple tenants, ensures that a predetermined ratio of the capacity of the building's energy resources to be introduced is set aside as a DR compatible category.

4. 2. The energy management device of claim 1, The energy management device further comprises a battery management unit that purchases the energy used by the building that satisfies an energy operation pattern that represents the amount of electricity required to carry out the business operations of the multiple tenants based on an electricity market-linked price, stores and utilizes the energy, and manages the status of the storage battery.

5. 4. The energy management device according to claim 3, The energy management device further comprises a DR compliance calculation unit that, when a DR request is made, secures the minimum amount of electricity required for the multiple tenants to carry out their business, while also securing energy to cooperate with the DR request, and determines whether a DR request is made.

6. The energy management device according to claim 5, The energy management device further comprises a DR response unit that receives a response from at least one of the plurality of tenants regarding whether or not they will cooperate with the DR request, and implements DR response that maximizes control of the building's energy resources.

7. An energy management method in which an energy management device manages energy consumed by a building occupied by multiple tenants, the energy management device is configured by a computer having an arithmetic unit that executes predetermined arithmetic processing and a storage device connected to the arithmetic unit; The energy management method includes: a deployment plan creation procedure in which the computing device calculates a maximum demand, which is an average value of energy demand per hour on the day when the average daily power consumption in the building is at its maximum, based on the energy demand patterns of each of the multiple tenants, and selects a resource with an amount of power equal to or greater than the calculated maximum demand plus the amount of power required for DR support and having performance closest to that amount of power, thereby selecting an energy resource for a plan to deploy energy resources in the building; an operation plan generation step of generating an operation plan for energy resources based on a forecast of energy demand patterns of each of the plurality of tenants, the operation plan including power purchase data for the building associated with a market-linked price; An energy management method characterized by comprising: a power storage / heat classification management procedure that manages the building's energy resources based on the operation plan during normal times when DR is not requested, and manages the building's energy resources into the DR classification when DR is requested.

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