57 results about "Energy performance" patented technology

The invention discloses a multi-level energy management system based on multi-dimensional data, and relates to the technical field of energy intelligent management, and the system comprises a multi-source data collection module which collects power utilization, environment and equipment state data in real time; the data fusion processing module is used for processing abnormal values through an algorithm and fusing multi-scale data features; the energy state evaluation module is used for realizing equipment state evaluation and early warning by using a fusion algorithm and a prediction model; the multi-level energy scheduling module adopts an optimization algorithm to balance the energy cost, the production efficiency and the carbon emission, and dynamically adjusts the strategy; the energy performance analysis module is used for developing an analysis tool and an evaluation model; and the decision support module is used for configuring an expert knowledge base and developing a fault diagnosis system and a knowledge graph. Through multi-dimensional data acquisition and multi-level management, the energy data error is greatly reduced, the comprehensive energy cost and carbon emission are remarkably reduced, the cost of participating in enterprise operation is reduced, and the accuracy, safety and sustainability of energy management are improved.

Exemplary methods, systems, apparatus, and computer programs are disclosed for an unmanned aerial system (UAS) inspection system that includes an unmanned aerial system and analysis system for exterior building envelopes and energy performance evaluation and simulation. The UAS can autonomously and systematically collect data for a building's exterior using a payload comprising (i) nondestructive testing (NDT) sensors configured for imaging (visible, infrared, or more) the building and (ii) one or more multi-spectral sensors (LiDAR, ultrasound, radar, or more). The acquired sensor data are provided to an analysis system comprising computer vision (CV) and signal processing modules configured to analyze the acquired data to i) identify building objects (doors, windows, rooftop units, and others) ii) characterize envelope properties (components, heat resistivity, or others) and 3) identify initial thermal anomalies (thermal bridges, physical defects, or infiltration / exfiltration) in a processing pipeline.

The invention relates to the technical field of intelligent power grids, in particular to an optical storage agricultural micro-grid operation optimization method and system, and the method comprises the steps: constructing an optical storage agricultural greenhouse micro-grid, and constructing a robust optimization scheduling model under the photovoltaic output uncertainty to carry out robust optimization scheduling; based on the scheduling scheme of robust optimization scheduling, constructing a micro-grid load model for the light storage agricultural greenhouse; on the basis of the load demand in the micro-grid load model, a cost-benefit optimization model under two operation modes of autonomous investment construction and energy performance contract is constructed, and the cost-benefit is calculated on the basis of the cost-benefit optimization model under the actual operation mode, so that the energy storage capacity configuration and the operation strategy are subjected to collaborative optimization. And constructing an energy storage system capacity configuration and operation optimization model, and finally determining an energy storage configuration scheme and a multi-time scale scheduling strategy. According to the invention, the problems of photovoltaic output uncertainty, single investment operation mode and insufficient economical efficiency optimization of the existing system are effectively solved.

The invention provides a consistency diagnosis method and device for an energy storage battery, and belongs to the field of intelligent diagnosis of an energy storage battery system, and the method comprises the steps: collecting original data of the energy storage battery at a set time interval, and sorting the original data according to a time field; cleaning the original data to obtain cleaned data; extracting all static time segments of the energy storage battery according to current information in the cleaned data, and screening out long static segments; screening the highest voltage and the lowest voltage according to the voltage information in the long standing segment, converting the highest voltage and the lowest voltage into corresponding highest capacity and lowest capacity, calculating a difference value between the highest capacity and the lowest capacity, and when the difference value is greater than a set threshold value, determining that the battery is an abnormal battery; screening out single batteries with outlier capacities from the abnormal batteries, and carrying out abnormity alarm; the capacity-based consistency diagnosis can more accurately evaluate and judge the energy performance of the energy storage unit in the charging and discharging process, and the accuracy of consistency detection is improved.

The invention concerns a method (100) for optimizing an energy usage and / or a carbon footprint for an urban area. The method comprises the steps of receiving (101) map information that is related to the urban area and receiving (104) multiple sets of second building attributes from a building database for each building of the multiple buildings, wherein each set of second building attributes defines a number of building attributes that lead to an impact on an energy performance of a building. The received sets of the building attributes are assigned to the corresponding buildings of the multiple buildings that are located in the urban area and a dynamic first energy simulation is performed for the multiple buildings based on the first building attributes and a result of the first energy simulation is provided (107).

The invention relates to the technical field of energy information management, in particular to a block chain-based green energy authentication and tracking system, which comprises an identifier construction module, a path chain weaving module, a type level setting module, an adaptation verification module and a purpose matching verification module. According to the invention, by determining the cycle span of the energy operation data, the uniqueness and tracing accuracy between the energy identifier and the real source are ensured, so that the energy flow direction data are real and reliable and can be checked in the whole process; mean square error processing and normalization transformation are carried out on generator set types, load factors, power transmission line types and battery energy storage system cycle stability, energy efficiency levels of different energy paths and nodes are accurately distinguished, and interval overlapping comparison and curve fitting offset judgment are carried out on energy performance parameters and scene constraint values. The adaptation stability of energy in a specific application environment is effectively verified, and precise matching of green energy supply and actual purposes is achieved.

The invention discloses a sensing, calculation and control integration-oriented resource virtualization and real-time scheduling method, and relates to the field of resource management.According to the method, heterogeneous processors with different architectures are subjected to standardized description by constructing a heterogeneous processor resource representation model, so that the heterogeneous processors can be perceived and managed in a machine space; on the basis, through a sensing, calculation and control integrated design, sensing, calculation and control multi-type task scheduling oriented to the heterogeneous multi-core processor is further supported; the isomerism of a processor and the operation characteristics of different types of containers are quantified through theoretical analysis, and the'resource '-'service quality + energy consumption expression' mapping relation among service quality, real-time performance, energy consumption and container allocation strategies, task processing proportions and processor operation frequencies is quantitatively described to construct a scheduling problem model. According to the method, the resource utilization rate of the processor can be improved, so that the real-time guarantee of sensing, calculating and controlling multiple types of tasks in a resource shortage scene is realized, and the overall service quality and energy consumption performance of the system are improved.

The present disclosure relates to a technology for achieving carbon neutrality in ESG-based industrial sites. An apparatus for achieving carbon neutrality analyzes energy performance of factories, industrial facilities, and plants, derives energy saving factors and renewable energy production factors, verifies performance of facility materials and facility construction methods to comply with GRI standards, for example, optimizes internal air in accordance with the GRI standards, and quantitatively measures and evaluates environmental, social, and governance (ESG) achievement rates of factories, the industrial facilities, and the plants.

The invention discloses an automatic fault detection and diagnosis system and method based on an artificial intelligence optimization operation system and a function library, and belongs to the technical field of intelligent building and industrial equipment operation and maintenance. The system comprises a data acquisition and preprocessing layer, a fault detection layer, a fault diagnosis layer, an intelligent recommendation layer and a visual display layer. The method comprises the following steps: collecting equipment data in real time and preprocessing; performing anomaly detection and performance trend analysis in combination with statistical process control and a machine learning algorithm; performing root cause diagnosis by using a Bayesian reasoning model; classifying faults according to an energy performance type, a controllability type and a thermal comfort correlation type, and evaluating priorities through a multi-dimensional weighted scoring model; and intelligently generating a solution and updating the knowledge base. According to the method, whole-process automation from early warning, diagnosis, classification to recommendation is achieved, the equipment reliability, the energy efficiency and the operation and maintenance intelligent level are improved, and the method is suitable for application scenes such as artificial intelligence middleware and computer visual and auditory software.

A system for estimating flight range of an electric aircraft. The system generally includes at least a sensor and a computing device. The at least a sensor is communicatively connected to at least a flight component. The at least a sensor is configured to detect a performance datum of the at least a flight component. The computing device is communicatively connected to the at least a sensor. The computing device is configured to receive the performance datum from the at least a sensor, determine an energy performance datum from the performance datum, determine a flight performance datum from the performance datum, generate a projected flight range datum as a function of the energy performance datum and the flight performance datum, and display the projected flight range datum. A method for estimating flight range of an electric aircraft is also provided.

The utility model relates to the technical field of manipulators, and discloses a mechanical arm buffering and energy absorbing device, a bottom platform of a three-layer platform is provided with a rotating motor, a middle platform of the three-layer platform is provided with a buffering mechanism, and the middle of an output shaft of the rotating motor is provided with an energy absorbing mechanism which is in press fit with the buffering mechanism. The top of an output shaft of the rotating motor is fixedly connected with the rotating base. The buffering and energy absorbing device is arranged at the source end of the driving component in a built-in mode, on one hand, the buffering and energy absorbing device has more efficient and accurate tail end buffering and energy absorbing performance, the tail end movement of the mechanical arm can be stopped in time, meanwhile, interference of external impurity factors is prevented, and the service life of the mechanical arm is prolonged. And on the other hand, the gear tooth meshing transmission mode has more accurate transmission ratio performance, friction force of the energy absorption mechanism and the buffering mechanism can be accurately transmitted, and the buffering energy absorption efficiency of the energy absorption mechanism is improved.

In some embodiments, an energy optimizer device includes a memory, one or more processors configured to execute one or more electronic games of energy saving and render the electronic games on a display. The energy optimizer device comprises hardware sensor or capturing device for obtaining equipment data from energy equipment associated with a user. A virtual reality energy gamification application is executed to render badge level associated with a user's use of energy equipment, tips of energy saving, enrollment options of a demand management program, implementation of recommendation for upgrading of energy equipment, renewable resources registered, amount of energy waste consumed and / or ability of behavioral changes by the energy equipment to improve energy performance of facility, and information about incentives / rebates. The energy optimizer device may communicate with other energy optimizer devices in a peer-to-peer manner and enable multiple users to play the electronic game together from respective energy optimizer devices.

The present disclosure relates to improving the energy performance of CO2 capture. [Solution] A system for capturing carbon dioxide (CO2) from a CO2-containing gas stream, comprising an absorber for contacting the CO2-containing gas stream with an adsorbent, the adsorbent operable to capture CO2 from the CO2-containing gas stream in a first temperature range and release the CO2 in a second temperature range, a desorber for releasing the CO2 from the adsorbent, first and second heat pumps configured to recover heat for the desorber from both a condenser and at least one other point in the system, and the condenser temperature selected to maximize both the heat content of the condensate and the combined coefficient of performance of the first and second heat pumps to minimize the input energy requirements of the heat pump system.

A method for evaluating the energy performance of a pumping unit includes the steps of: obtaining a first value associated with at least one pair of parameters of the pumping unit, the at least one pair of parameters being measured during testing of the pumping unit, the first value indicating the optimal operating state of the pumping unit. The method further includes the step of: obtaining a second value associated with at least one pair of parameters of the pumping unit, the at least one pair of parameters being measured during initial verification of the operation of the pumping unit in a system where it is intended to be used, the second value indicating the initial operation of the pumping unit in the system.

The method for evaluating the energy performance of a pumping unit comprises the step of acquiring first values related to at least one pair of parameters of said pumping unit, said at least one pair of parameters being measured during a test of said pumping unit, said first values being indicative of an optimal operation of said pumping unit. The method further comprises the step of acquiring second values related to at least one pair of parameters of said pumping unit, said at least one pair of parameters being measured during an initial verification of the operation of said pumping unit in the system for which it is intended, said second values being indicative of an initial operation of said pumping unit in the system.

Various aspects of the present disclosure relate to a network entity for a wireless communication network, the network entity comprising: at least one memory; and at least one processor coupled with the at least one memory and configured to cause the network entity to: receive, from an analytics consumer, a first request message comprising a first request for an energy performance of a portion of the wireless communication network; receive, from the wireless communication network, data related to the energy performance of the portion of the wireless communication network; analyze the data related to the energy performance of the portion of the wireless communication network to determine the energy performance of the portion of the wireless communication network; and transmit, to the analytics consumer, a report message comprising the energy performance of the portion of the wireless communication network.

The invention discloses a distributed energy grid-connected dispatching optimization management system, and particularly relates to the field of energy management and power dispatching. Comprising a real-time monitoring acquisition module, a distributed energy characteristic sensing module, a data processing module, a distributed energy performance prediction module, an intelligent scheduling optimization module, a fault self-diagnosis and self-recovery module and a distributed energy intelligent maintenance management module. According to the distributed energy grid-connected scheduling optimization management system, distributed energy characteristics are extracted through a distributed energy characteristic sensing module, and the scheduling efficiency of an energy storage system is improved; a scheduling result is predicted through the data processing module, so that the potential of distributed energy is utilized to the maximum extent, and automatic and intelligent power grid energy management is realized; the scheduling operation is optimized through the intelligent scheduling optimization module, the scheduling of the power system is optimized, and the energy utilization efficiency is improved.

A whole building or campus entity, energy management and energy control optimization, data presentation and visualization dashboard system including a computer processor service provider system, wherein the computer processor service provider system comprises a cloud-based computer processor service provider system comprising: at least one application server comprising the whole building or campus entity, energy management and energy control optimization system executing in the cloud-based computer processor service provider system; and an onsite energy controller coupled to the cloud-based computer processor service provider system by an electronic communications network; wherein said onsite energy controller comprises: at least one electronic computer processor; and at least one electronic computer memory coupled to said at least one electronic computer processor; wherein said at least one electronic computer processor of said onsite energy controller is configured to: reduce energy and demand costs through whole building or campus entity energy management of a building or campus entity load including by being configured to at least one or more of: optimize energy usage; optimize energy generation; maximize demand reduction and utility savings through optimal control of: the energy usage, and the energy generation, or reduce energy costs; and use of at least one energy storage system device; simulate said building or campus entity load by use of at least one or more of: predictive analytics; or receive user inputs of an event schedule that impacts said building or campus entity load; perform optimization at the start of the billing cycle to establish a demand reduction target achievable with the at least one energy storage system device implemented; set a periodic schedule for discharge of the at least one energy storage system device and allocate a portion of energy storage capacity to a reserve to be used in the event of volatility in said building or campus entity load; determine whether there is unused capacity of the at least one energy storage system device at an end of a period, and responsive to the determination, redistribute any of the unused capacity to a remaining period of the periodic schedule; and reset the demand reduction target for each time-of-use period to what was achieved in the previous period for the same billing period; and wherein said at least one electronic computer processor of said onsite energy controller is configured to: display output interactively via an electronic dashboard graphical user interface (GUI) comprising at least one GUI element enabling interactive user receipt of input and provision of output relating to at least one or more of the following: a heat map; a financial energy savings calculation; a color coding of energy production depicting at least one or more of: actual energy production, weather normalized energy production, or predicted energy production; or a color coding of energy usage performance based upon an automatically calculated comparison of expected energy production to actual energy production; a color coded representation of monetization comprising at least one or more of: multi-colored lines on a graphically displayed chart metaphor GUI element; or multiple revenue streams; visual comparison of data between different time periods; or artificial intelligence (AI)-enabled data showing at least one or more of: anticipated production data or anticipated consumption data.

The present invention relates to a server for selecting a building subject to energy efficiency improvement and a method for selecting a building subject to energy efficiency improvement using same, which can select a target building requiring energy saving by analyzing the degree of change in energy consumption of buildings over time. The present invention can estimate the energy consumption of a building by benchmarking the energy consumption of the building over time against building energy consumption including benchmarking information. Specifically, by measuring the energy performance of buildings and comparing the energy performance of the building subject to analysis with the measured energy performance of the buildings, if the energy consumption of the building subject to analysis is inefficient, it is possible to perform supplementary actions capable of improving the energy consumption efficiency of the building subject to analysis.

The invention relates to the technical field of oil and gas field energy management and control, in particular to an oil and gas field energy management and control system and an energy-saving optimization method. The oil and gas field energy management and control system comprises an energy performance parameter monitoring and early warning module, an energy statistics and analysis module, an energy performance assessment module, an energy saving optimization and scheduling management module and an energy measuring instrument management module which are connected to an energy management and control comprehensive module. According to the method, key energy consumption equipment and energy consumption units of oil and gas field enterprises can be monitored more accurately and comprehensively, the accuracy and comprehensiveness of energy consumption data of the energy consumption equipment are improved by adding a transverse comparison method and a longitudinal comparison method, an energy consumption optimization scheme is provided, the requirements of the oil and gas field enterprises for accurate management and control of energy, cost reduction and efficiency improvement are met, and the economic benefits of the oil and gas field enterprises are improved. And oil and gas field enterprises are helped to realize the purposes of energy management, energy conservation, consumption reduction, cost reduction and production benefit improvement.

Methods and systems for remediating impaired devices in a deployment are disclosed. The devices may be remediated by repairing or replacing the devices. Whether to repair or replace the devices may depend on the operational and performance costs of running the impaired devices in the deployment. Operational costs may include the retail price of the device and any energy requirements to run the impaired device. Performance costs may include effects of the output of the impaired device on other devices along the pathway of devices. If the integrated costs of the operational costs and performance costs outweigh the sum of the individual operational costs and performance costs, then the device may be replaced; otherwise, the device may be repaired.

To provide a design support system capable of improving design efficiency by supporting selection of outer skin design and facility equipment necessary for achieving energy performance targeted by a building.SOLUTION: The design support system 1 executes a first calculation step of calculating a target design primary energy consumption amount Et of a building, a second calculation step (S112) of deriving a relationship between a design primary energy consumption amount and an air conditioning capacity by using a property database DB for a plurality of existing buildings and calculating a target air conditioning capacity Q t or Qta corresponding to the target design primary energy consumption amount E t as a design target value on the basis of the relationship, and a third calculation step (S15) of calculating a thermal load of the building and a design air conditioning capacity Q d corresponding to the thermal load from the skin information. The design air conditioning capacity Qd and the target air conditioning capacity Qt or Qta are displayed.SELECTED DRAWING: Figure 10

The invention relates to a computer-implemented method for managing the energy performance of a dwelling, the method comprising: providing first data representing the dwelling and second data representing a catalogue of pieces of dwelling equipment (28) able to influence energy performance; determining, on the basis of the first and second data, an arrangement of one or more pieces of equipment relative to the dwelling; computing, automatically and depending on the first and second data, one or more indicators of the efficacy of the arrangement; and displaying a visual representation (26) of the dwelling and a visual representation of at least one efficacy indicator (33, 34). This is a better way of managing the energy performance of a dwelling.

The present invention discloses a multi-level energy management system based on multi-dimensional data, which relates to the field of energy intelligent management technology. The system includes a multi-source data acquisition module for real-time collection of electricity consumption, environment and equipment status data; a data fusion processing module for processing outliers and fusing multi-scale data features through algorithms; an energy status assessment module for implementing equipment status assessment and early warning using fusion algorithms and prediction models; a multi-level energy scheduling module for dynamically adjusting strategies using optimization algorithms to balance energy costs, production efficiency and carbon emissions; an energy performance analysis module for developing analysis tools and evaluation models; and a decision support module for configuring expert knowledge bases and developing fault diagnosis systems and knowledge graphs. Through multi-dimensional data acquisition and multi-level management, the present invention significantly reduces energy data errors, significantly reduces comprehensive energy costs and carbon emissions, reduces operating costs for participating enterprises, and improves the accuracy, safety and sustainability of energy management.

The present invention relates to an entropy weight TOPSIS energy potential evaluation method based on SCAD penalty regression, comprising the following steps: step S1: determining a sample area, constructing an energy performance evaluation index system, and acquiring data; step S2: using the SCAD penalty regression method to establish the relationship between each evaluation index and energy consumption, and determining a new index system for energy performance evaluation; step S3: performing data standardization processing on the evaluation index in the new index system, and using the entropy value method to calculate the index weight under the new index system; step S4: using the TOPSIS model to calculate the energy performance evaluation index, and obtaining the final performance ranking. The method is conducive to the effective evaluation of energy potential.

An energy management system and method designed to analyze the energy consumption of a building or cluster of buildings is provided. The system includes a user device and a controller. The controller includes a building energy audit analysis level, an energy demand-supply management level, and a heat and mass balance simulation level. The system integrates energy consumer-type users, energy server-type users, and energy developer-type users on one single platform. The energy management system provides a single platform for the sustainable management of energy data, integrates the users, inputs energy data, analyzes the data, and outputs energy performance and energy efficiency data based on the analyzed data.

A device for thermally breaking a door threshold comprises: an insulating base (1) suitable for being recessed into a housing (2) formed in the threshold (3), the insulating base itself comprising a movable insulating seal (4), the width of which corresponds to that of the door (5), placed in a groove (9) in said base, the movable seal being able to assume a lower and a higher position; actuation means (6) for: placing the movable seal in the upper position when the door is closed, so as to ensure contact between said movable seal and the lower edge of the door; placing the movable seal in the lower position in the groove when the door is open, so as to be flush with the surface of the threshold. The device is well suited to improving the energy performance of buildings, particularly during their renovation.

The invention discloses an energy performance prediction method and device based on urban residential buildings and a medium, belongs to the technical field of energy efficiency prediction, and is used for solving the technical problems that traditional physical modeling still has certain limitation on building energy consumption prediction, the calculation complexity is high, used data parameters are limited, and overall energy consumption prediction is not accurate enough. The method comprises the following steps: carrying out collection processing on building stock data, meteorological data and auxiliary data on a building group in a city range to obtain building key data; generating a building reference model based on the building key data; performing energy consumption simulation processing on the building group through the building reference model to obtain a multi-dimensional energy efficiency feature data set; performing energy efficiency performance prediction evaluation processing on the building energy efficiency data by using a non-separation model, a terminal demand isolation model and a set isolation model, and determining an optimal energy efficiency performance prediction model; and performing energy efficiency analysis on the building group to obtain a building energy efficiency prediction result.

The present disclosure relates to improving the energy performance of CO2 capture. [Solution] A system for capturing carbon dioxide (CO2) from a CO2-containing gas stream, comprising: an absorber for contacting the CO2-containing gas stream with an adsorbent; a desorber for releasing CO2 from the adsorbent; a lean return stream for returning the adsorbent from the desorber to the absorber; a main heat exchanger between the desorber and the absorber, the main heat exchanger removing heat from the lean return stream and adding heat to a rich adsorbent stream; at least one additional heat exchanger adding heat to either the lean return stream after the main heat exchanger or the rich stream before the main heat exchanger to produce a high-temperature lean return stream; and a heat pump system configured to remove heat from the high-temperature lean return stream and supply heat to a heating means.