44 results about "Energy service" patented technology

The invention discloses an urban energy network intelligent allocation method and system, and the method comprises the steps: obtaining building energy consumption data and energy supply network topology information, building a supply and demand matching reference, recognizing a load peak value dense time period and a peak clipping and valley filling potential region, and exporting transferable load data to form a regional supply and demand distribution diagram; generating a peak shifting adjustment space in combination with the user response delay duration and the equipment start-stop period; performing gap matching analysis on the regional supply and demand distribution map and the peak shifting adjustment space, creating a hierarchical regulation instruction set, and differentially generating an instant response instruction and a delay response instruction; a regulation and control coordination parameter is formed through coordination configuration of the peak shifting revenue coefficient and the instant response instruction; finally, a regulation and control execution range is determined, cost benefit evaluation is implemented, an urban-level energy scheduling execution scheme is formed, accurate matching and efficient scheduling of urban energy supply and demand are achieved, and comprehensive and efficient scheduling decision support can be provided for application scenes such as an intelligent power grid, regional heat supply and comprehensive energy service.

The invention discloses a user energy efficiency optimization strategy generation method and system based on deep learning, particularly relates to the field of comprehensive energy service, and is used for solving the problem of strategy instability caused by frequent jump of current user portraits. Constructing a group structure chart to identify leading customers and target customers to mark response features, generating a strategy candidate set by the group structure chart and a trigger queue, translating the strategy candidate set into an action script, setting a write-back suppression coefficient and a cooling period threshold, and calculating write-back control parameters to constrain write-back amplitude and rhythm; and outputting a resource release plan, collecting and executing a return certificate, and updating the dynamic portrait set and the group structure chart according to a write-back control parameter, thereby effectively maintaining the stability of the portrait, and realizing a stable closed loop of user energy efficiency optimization.

The application provides a kind of comprehensive energy point-to-point transaction system based on blockchain, it is related to comprehensive energy technical field, the system includes: energy supply subsystem, terminal subsystem, regulating subsystem and feedback subsystem.Wherein, energy supply subsystem is used to input energy to comprehensive energy service system;Terminal subsystem includes supplier and receiver, for providing energy or receiving and consuming energy;Regulating subsystem is used to delete all other subsystem nodes in transaction information after each transaction process, record transaction information in regulating subsystem;Feedback subsystem is used to ask transaction parties whether information deletion can be carried out with regulating subsystem.The application uses regulating subsystem to carry out information storage management of the whole system, realizes the unified integration of each node storage information after transaction, deletes redundant transaction information, reduces information storage pressure and guarantees the stability of point-to-point transaction process.

The application relates to an industry chain early warning method and an energy service SaaS operation and maintenance management platform. The method comprises the following steps: acquiring basic power consumption data groups of all terminals of an enterprise, each terminal corresponding to a basic power consumption data group; cleaning the basic power consumption data groups to obtain analysis power consumption data groups; constructing power consumption analysis curves by using the analysis power consumption data groups; acquiring behavior data of the terminals and segmenting the power consumption analysis curves according to the behavior data to obtain multiple sub-power consumption analysis curves; correlating and analyzing the sub-power consumption analysis curves and a comparison reference curve according to the behavior data to obtain analysis results; and giving a judgment result according to the analysis results, wherein the judgment result comprises normal power consumption behavior and abnormal power consumption behavior. The industry chain early warning method and the energy service SaaS operation and maintenance management platform disclosed by the application can discover the relationship between equipment operation behavior and power consumption by analyzing collected data, thereby providing data support for subsequent equipment maintenance and power consumption optimization.

An energy service apparatus which includes a memory that stores information associated with a plurality of devices connected via a smart home network or information associated with a device providing an energy service associated with at least one of a power consumption or a power-saving mode. The energy service apparatus includes a processor that identify a target device selected through a user terminal, requests first information associated with a device providing an energy service, based on information associated with the target device not being included in the first information, requests second information, and based on the second information and information of a management file, identify whether the target device is the device providing the energy service, wherein the information of the management file includes information which is registered by an administrator and associated with the device that provides the energy service.

This invention provides a method and system for constructing a corpus database. The method includes: decomposing multi-source heterogeneous corpora obtained based on energy service business processes to obtain multiple business process nodes and corresponding initial corpora; extracting association features from the initial corpora of any two adjacent business process nodes to obtain co-occurrence association features; for each business process node, dividing the initial corpora into scenario corpora and associated corpora based on business scenario tags and co-occurrence association features; mapping the associated corpora of each business process node to the scenario corpora or associated corpora of other corresponding nodes based on the sequential order of the business process nodes to construct association links; and storing all corpora based on the paths from the scenario corpora and associated corpora to the associated node corpora and the association links. This invention meets the needs of energy service businesses for efficient and accurate data support.

The invention discloses a multi-source data fusion processing platform and method supporting energy business collaboration, and relates to the technical field of data processing, and the method comprises the steps: connecting a multi-source data end side, and recognizing a first group of mapping data sources of the energy business collaboration; identifying a historical data source failure probability of the first group of mapping data sources to obtain a first group of failure probabilities, and inputting the first group of failure probabilities into a data fusion influence degree identification model for analysis to obtain a data fusion influence degree index; when the data fusion influence degree index is greater than a preset influence degree threshold value, identifying a second group of mapping data sources of energy business collaboration, and configuring the second group of mapping data sources as equivalent data pairs of the first group of mapping data sources; and performing data fusion processing on the multi-source data pairs based on the equivalent data pairs to obtain a fusion database. The technical problems that in the prior art, due to insufficient reliability of multi-source data, the fusion result deviates, and the energy service cooperation stability cannot be guaranteed are solved, and the technical effect of guaranteeing the fusion data stability and the service cooperation continuity is achieved.

The invention provides a corpus database construction method and system, and the method comprises the steps: carrying out the disassembly of an obtained multi-source heterogeneous corpus based on an energy service business process, and obtaining a plurality of business process nodes and corresponding initial corpora; performing associated feature extraction based on the initial corpora of any two adjacent business process nodes to obtain co-occurrence associated features; aiming at each business process node, dividing the initial corpus into a scene corpus and an associated corpus based on a business scene label in combination with a co-occurrence associated feature; mapping the associated corpus of each business process node with the scene corpus or associated corpus of the corresponding other nodes based on the sequence of the business process nodes, and constructing an associated link; and storing all corpora based on the scene corpora, the path of the associated corpora pointing to the associated node corpora and the associated link. According to the invention, the requirement of energy service business on efficient and accurate data support is met.

There is provided an energy transaction platform to facilitate a wholesale↔distribution↔DER owner marketplace for DER-based energy products, including contracting, delivery, and settlement, for example, based on blockchain technology. The platform provides components to enrol and verify DER owners having a DER device. Platform components define and communicate contracts for energy services for bidding by DER owners to facilitate e.g. EV charging, GHG reduction, or demand response goals. Contracts are cleared in response to bidding, for example, by DER owners. The platform triggers contract delivery, which delivery is monitored and confirmed. Settlement is made between contract parties according to confirmed participation. Participation rewards and / or credit tokens are transferrable to DER owners, which can be further transferred. DER owner credibility measures can encourage participation and assist with clearing contracts. The platform can use blockchain smart contracts for events and store data to the blockchain.

The invention discloses an energy service task-oriented equipment maintenance personnel automatic selection method and system, and relates to the technical field of data processing, and the method comprises the steps: setting segmented selection configuration parameters according to maintenance task demand parameters and personnel qualification access conditions of energy service equipment; setting a correction coefficient based on the semantic matching characteristics of the maintenance resources and task execution efficiency parameters; reversely analyzing the optimized selection configuration parameters, and generating a personnel automatic selection execution scheme; and acquiring task matching influence area data in real time, and dynamically refreshing and optimizing the selection configuration parameters according to a preset matching threshold value and an adaptive deviation. The technical problems that an existing equipment maintenance personnel selection method cannot dynamically adapt to task demand changes, and personnel selection precision and efficiency are low are solved, and the technical effect of improving personnel selection precision and response speed through automatic selection and dynamic optimization based on task demands and real-time data is achieved.

The utility model provides a transcritical cycle-based multi-energy combined supply system. The transcritical cycle-based multi-energy combined supply system comprises a clean energy utilization system, an energy storage system, a supercritical medium power generation system, a supercritical medium refrigeration system, a combined heat and power generation system and a control system, the supercritical medium power generation system comprises a first gas-liquid separator, a compressor and a high-pressure turbine; the output end of the heat storage system is connected with the input end of the first gas-liquid separator, the energy storage medium output end of the first gas-liquid separator is connected with the input end of the combined heat and power generation system, the supercritical medium output end of the first gas-liquid separator is connected with the first input end of the compressor, and the first output end of the compressor is connected with the input end of the high-pressure turbine. The second output end of the compressor is connected with the supercritical medium input end of the cold storage system. According to the scheme, through coupling application of a supercritical medium technology and an energy storage medium heat storage technology, a comprehensive energy service system integrating efficient energy conversion, flexible energy storage adjustment and multifunctional cooling, heating and power supply is constructed.

The invention discloses an oil-gas-hydrogen-electricity comprehensive energy service station coupling modeling method and related equipment, and relates to the field of energy internet, and the method comprises the steps: taking operation and price parameters of an electrolytic cell, a compressor, a storage tank, terminal supply, electric energy storage, a gas turbine, a photovoltaic power grid, a superior power grid and the like; based on time-sharing demands of vehicles (fuel oil, natural gas, hydrogen fuel cells and electric vehicles) and single-machine capacity and number of terminal supply equipment, time-sharing electric power balance of a supply end and a power utilization end, hydrogen / gas storage cross-period inventory continuity, electric energy storage charging and discharging and SOC constraint are established, and scale matching and the maximum installation number are set. An optimization model is constructed and solved by taking energy sales income operation and maintenance reduction cost, light abandoning cost and energy purchasing cost as objective functions, time-sharing equipment output, electricity purchasing quantity, oil / gas / hydrogen flow and electric energy storage state are output, and a basis is provided for station-level scheduling and planning.

The invention relates to the field of project management, and discloses a project management system and method based on a smart park, which are used for monitoring and dynamically adjusting a project management effect in real time and continuously improving the management effect. Comprising the following steps: extracting an event causal chain from a park historical event library, classifying and integrating according to energy, service and facility dimensions, and generating a causal atlas containing each sub-atlas; building a nonlinear differential equation model by using real-time data and the energy sub-atlas, simulating and predicting future energy flow, and outputting a time-sharing load prediction curve; based on the facility sub-atlas and the equipment topological graph, calculating a node critical probability, identifying key fragile nodes and generating a list; and dynamically generating a resource reinforcement and service transfer instruction set in combination with a real-time service request and load prediction to form a dynamic scheduling instruction. Precise, dynamic and intelligent park project management is realized, and the park operation efficiency and the resource utilization rate are effectively improved.

This invention discloses an information transmission and sharing platform for power grid cloud terminal services, relating to the field of power grid cloud terminal service technology, including identity information management and power grid cloud platform data management. A further improvement of the technical solution of this invention lies in that: the identity information management includes the distribution of identity information for power grid equipment, which includes the following steps: S1, preparatory work before information distribution; S2, information distribution; S3, information data transmission. This invention, through the extensive collection and precise matching of information from various links of the power system, not only strongly supports existing businesses but also expands the industrial chain, driving innovation in market-oriented business models such as integrated energy services and electric vehicles. Furthermore, it can apply big data analytics to extract value from the massive data flow of customer resources, generating profitable data service businesses and increasing user participation in demand response.

This utility model discloses a groundwater source heat pump system for measuring energy consumption, comprising: a central workstation consisting of a PC host, a monitor, and a printer, used for centralized management of equipment and displaying system energy efficiency ratio and energy consumption data; a controller configured to control the controlled equipment through data acquisition, processing, algorithm execution, and control command output; sensors and actuators, wherein the sensors are used to collect field signals, and the actuators are used to execute control commands; and a groundwater source heat pump system including an outdoor heat exchange side, a heat pump room, and terminal central air conditioning equipment, used to provide energy services for the building.

The invention relates to an energy business scene rapid construction system. The system comprises an equipment model management module, an internet-of-things management module and a visual configuration module. The equipment model management module is used for managing various types of energy equipment models; the Internet of Things management module is used for performing unified management and configuration on Internet of Things equipment; the visual configuration module is used for constructing an energy business scene and performing equipment operation control on the energy business scene through a visual interface; according to the method, a modular framework is adopted, intelligent energy business scenes are allowed to be rapidly combined and customized, a visual and easy-to-use graphical interface is provided, and the construction process of the business scenes is simplified.

The invention belongs to the technical field of comprehensive energy service and energy storage, and relates to a big customer comprehensive energy online and offline full-cycle service method and system, the system and the method are driven by data, user load characteristics are automatically analyzed to identify peak-valley difference users, energy storage economic optimal capacity is calculated in physical and investment constraints by adopting a traversal algorithm, and energy storage efficiency is improved. An executable charging and discharging strategy is generated, automatic report generation and multi-terminal interaction are achieved, online and offline platforms are integrated, full-period service management from customer intention and technical analysis to operation is achieved, and the problems that enterprise user energy storage investment decision depends on experience, technical and economic analysis is complex, and the service process is split are solved. The technical effects of improving investment decision scientificity, ensuring global optimization of configuration, reducing energy consumption cost and optimizing service efficiency and customer experience are achieved.

This invention discloses an AI-based energy service system tool for distribution transformers (DVTs), belonging to the field of smart grid and energy management technology. It is used for grid management and includes constructing a collaborative optimization control architecture based on multimodal feature fusion and reinforcement learning. This architecture comprises an intelligent control decision unit and control objects, including the DVT grid, distributed power sources, load systems, and energy storage systems. The intelligent control decision unit collects the operating status of the control objects, constructs multimodal state features, builds a control decision model based on reinforcement learning, and outputs the final control decision for the control objects using shadow operation modes and rule backoff mechanisms. By constructing a multimodal control framework, this invention integrates and models multi-source information such as photovoltaic output, load changes, energy storage status, and grid operating status, avoiding the problems of independent control and fragmentation of subsystems in existing technologies, and effectively improving the stability and coordination of the system under complex operating scenarios.

In the optimal calculation method of energy use conditions in an ironworks, actual and predicted values of the amount of energy service produced and consumed by each plant constituting the ironworks are used to take the total energy use cost of the ironworks over a predetermined time from the current time as an evaluation function, and the use conditions of the energy equipment in the ironworks that make the value of the evaluation function smaller at each predetermined time over the predetermined time are calculated as decision variables. In the optimal calculation method of energy use conditions in the ironworks, the decision variables related to power generation equipment included in the energy equipment are calculated with an equality constraint applied in such a way that the decision variables become constant over a predetermined aggregation time.

The application discloses a kind of urban energy network intelligent deployment method and system, by obtaining building energy consumption data and energy supply network topology information and establishing supply-demand matching benchmark, identify load peak dense period and peak clipping potential area, export transferable load data to form regional supply-demand distribution map;Combining user response delay length and equipment start-stop cycle generates peak-shaving regulation space;For regional supply-demand distribution map and peak-shaving regulation space, carry out gap matching analysis, create hierarchical control instruction set and distinguish to generate immediate response instruction and delay response instruction;Through peak-shaving benefit coefficient and immediate response instruction collaborative configuration form control collaborative parameter;Finally determine control execution range and implement cost benefit evaluation, form urban energy scheduling execution scheme, realize the accurate matching and efficient scheduling of urban energy supply and demand, can provide comprehensive, efficient scheduling decision support for smart grid, regional heating, integrated energy services and other application scenarios.

The invention belongs to the technical field of virtual power plant scheduling, and discloses a virtual power plant low-carbon joint scheduling method based on a multi-factor dynamic pricing mechanism, which comprises the following steps: step 1, constructing a model of an energy service provider and a user aggregator in a virtual power plant; 2, constructing a stepped carbon transaction model and a green certificate transaction model; step 3, constructing a multi-factor dynamic pricing mechanism according to carbon emission, clean energy consumption and demand response; and 4, constructing a supply and demand combined scheduling model, establishing an intelligent combined scheduling center to execute dynamic pricing and combined scheduling of the virtual power plant, and solving the mixed integer linear programming model by using CPLEX to obtain an optimized scheduling result. According to the method, the carbon capture unit is integrated into the virtual power plant, and a stepped carbon transaction mechanism and a green certificate transaction mechanism are adopted, so that the low-carbon potential of the system is fully excavated.

A comprehensive demand response method and system considering user response risk is disclosed, serving the implementation of demand response technology in the integrated energy market. The process includes: integrating the equipment characteristics and information of integrated energy service providers; establishing a user selection mechanism for integrated energy service providers considering user response risk; and establishing a cost model for integrated energy service providers. Next, user energy consumption information and response characteristics are collected, and the response fatigue phenomenon caused by continuous user participation is considered, establishing a comprehensive user demand response benefit model. Finally, the integrated energy service provider cost model and the comprehensive user demand response benefit model are integrated, and based on their interaction mechanism, a comprehensive demand response optimization problem is established. The unique equilibrium solution is then sought with the goal of reducing integrated energy service provider costs and improving user benefits. This invention improves the accuracy and effectiveness of the comprehensive demand response strategy by considering the uncertainty risk of user response and the fatigue effect of continuous response over multiple time periods, achieving a win-win situation for both integrated energy service providers and users.

The application provides a kind of comprehensive energy service provider purchase and sale energy system, method and storage medium considering energy efficiency-benefit double incentive, belongs to comprehensive energy technical field, has constructed the day-ahead interactive response architecture of IESP and multi-energy user, has realized the efficient interaction of IESP and user.The application constructs electrical heat multi-energy user utility model according to the satisfaction, comfort and cost benefit of multi-energy user, considers the transaction data decomposition of IESP and external multi-energy market, establishes IESP purchase and sale energy income model;Then, combined with IESP real-time yield and system comprehensive energy efficiency, construct dynamic incentive factor, redevelop contract price and incentive price, collect energy price data feedback and transfer to upper model.The application can effectively guide user to actively and efficiently participate in comprehensive demand response, help service provider to adjust comprehensive energy system energy supply, improve IESP market competitiveness, improve the income of service provider and the comprehensive utility of user, realize win-win.

This application relates to the field of new energy technology, and in particular to an operation method for a water conservancy hub system based on pumped-storage compressed air energy storage. The method includes: sequentially injecting treated air of a first target state into the first and second compression-side water-air co-containment chambers of the water conservancy hub; while injecting air into the second compression-side water-air co-containment chamber, emptying the air from the first compression-side water-air co-containment chamber and injecting water to complete pressurized water energy storage; injecting water into the first and second expansion-side water-air co-containment chambers, and sequentially using the high-pressure air expansion within the chambers to generate electricity; while generating electricity in the second expansion-side water-air co-containment chamber, discharging water from the first expansion-side water-air co-containment chamber to complete drainage energy release. Based on the above-mentioned pressurized water energy storage and drainage energy release operations, the water conservancy hub system can be controlled for target economic operation. This solves the problems of long construction cycles and high costs in related technologies for pumped-storage water conservancy hub systems, which only focus on the storage and regulation of electrical energy and cannot adapt to the diversified supply demands of integrated energy services.

The application provides an energy storage operation method and system for energy services. The energy storage operation method for energy services comprises the following steps: collecting energy service demands sent by user terminals in real time; automatically identifying and determining corresponding energy service scenarios of the user terminals according to the energy service demands sent by the user terminals, service scenario judgment strategies, and first judgment conditions and second judgment conditions contained in the service scenario judgment strategies; and generating safe charging and discharging instructions corresponding to the energy service demands according to target functions corresponding to the energy service scenarios. The system comprises modules corresponding to the method steps.

The application discloses an energy service platform display device, which comprises a display table, the display table is in a rectangular box structure, one side and the upper part of the display table are open, a side sealing plate is arranged at the position of the side opening of the display table, and a plurality of sand table plates are arranged in the display table. The uppermost sand table plate is clamped by a clamping assembly, then a power assembly is started, the power assembly drives the side sealing plate to move away from the display table, so that the uppermost sand table plate is moved out from the side of the display table, then the clamping assembly is lowered, the sand table plate is moved to the lower end of the display table, then the sand table plate is stored in the lower end of the display table through the reset of the power assembly, and the power assembly and the clamping assembly are combined to move the required sand table plate in the display table to the uppermost end of the display table, so that the sand table plate with different energy arrangements can be quickly displayed.

This invention relates to the field of energy storage technology, providing an energy storage system and its operation method based on thermochemical energy storage and the Brayton cycle. The energy storage system includes a storage device and an energy storage unit. The energy storage unit includes a calcium hydroxide calcination reactor, a first heat exchange network, a first regenerator, a first compressor, a first turbine, a first motor, and a first generator, with each component connected sequentially. The first motor drives the first compressor, which compresses carbon dioxide to a high-temperature, high-pressure state, converting electrical energy into heat energy. The high-temperature, high-pressure carbon dioxide heats the calcium hydroxide solid particles, causing the calcium hydroxide to decompose into calcium oxide solid particles and water vapor, converting heat energy into chemical energy. The energy storage system provided by this invention serves as a comprehensive energy storage platform, realizing the conversion, transfer, and storage of electrical energy, heat energy, and chemical energy. It boasts high energy conversion efficiency and can provide end-users with integrated cooling, heating, and power energy services.

The application provides a vehicle energy supply service station and a method for providing vehicle energy supply service, and the vehicle energy supply service station comprises an energy access module, an energy storage module, a hydrogen production module, a hydrogen storage module and an energy utilization module; the energy access module is connected with the energy storage module, the hydrogen production module and the energy utilization module respectively; the energy storage module is connected with the energy utilization module and comprises an electricity storage module, is used for receiving the electricity provided by the energy access module and storing, and provides the electricity to the energy utilization module; the hydrogen production module is connected with the hydrogen storage module, is used for preparing hydrogen according to the electricity provided by the energy access module and / or the energy storage module, and transmits the prepared hydrogen to the hydrogen storage module for storage; the hydrogen storage module is connected with the energy utilization module, and is used for providing the stored hydrogen to the energy utilization module; and the energy utilization module is used for providing the electricity provided by the energy storage module to an electric vehicle, and providing the hydrogen provided by the hydrogen storage module to a hydrogen fuel vehicle. In the application, various energies are reasonably dispatched, and the energy utilization demand is met.