37 results about "Energy demand" patented technology

A federated learning framework including household agents configured to continuously learn model parameters for managing charging periods and discharging periods of household batteries, and microgrid agents to maximize use of local energy based on a pricing policy, including accessing power from other microgrids when there is insufficient local energy to cover local demand. and selling surplus energy to the other microgrids when power generation by the microgrid surpasses the local demand. Each household machine learning agent is configured to control household energy demand from and supply to a microgrid which they are connected in order to minimize household energy cost while adapting to changes in the energy price that is determined based on the pricing policy of the microgrid agent that encourages reduction of carbon emission. A federated learning engine combines the model parameters from the household machine learning agents to update a global household machine learning agent.

Described is a process for the recycling of polycarbonate from particulate polycarbonate waste comprising a) providing the particulate polycarbonate waste, b) solvent-based purification of the particulate polycarbonate waste, c) partially depolymerizing of the purified polycarbonate, d) repolymerizing of the partially depolymerized polycarbonate. The process of the invention is an improved and adjustable process for the recycling of polycarbonates in high quality and purity, which is applicable on a technical and commercial scale at a relatively low energy demand.

This application relates to the field of power grid optimization dispatching technology, specifically to a multi-objective optimization dispatching method and system for active distribution networks with source-grid-load-storage coordination. The method includes: collecting the energy storage capacity of each renewable energy power station in the active distribution network, and the energy dispatched by each transformer from each renewable energy power station; calculating the priority dispatching characteristics of each renewable energy power station; predicting the future energy demand of each transformer and the future energy storage capacity of the renewable energy power stations supplying them; coordinating the transmission distances between each transformer and the renewable energy power stations supplying them; determining the dispatch matching coefficient between the renewable energy power stations and transformers; based on the dispatch matching coefficient, constructing an objective function with the goal of minimizing the source-grid-load-storage coordinated dispatching cost and maximizing renewable energy consumption; and using a multi-objective optimization algorithm to solve for the optimal solution, which is then used for power dispatching. This improves the rationality of power resource dispatching in the distribution network.

A kind of hydrate method cold accumulation and cooling system based on LNG cold energy, including gas supply system, hydrate method cold accumulation system, cooling system and refrigerating unit auxiliary system.The huge cold energy released in LNG gasification is used in gas supply system by deionized water and resident building return water coolant water in turn.The absorbed LNG cold energy is accumulated in hydrate method cold accumulation system, and the cold accumulation system can separate hydrate and deionized water, and can realize variable rate cold accumulation.The coolant water in cooling system exchanges heat with LNG and hydrate slurry in turn, and is sent to cold storage and resident building user by circulating pump pressurization, when the cooled coolant water cannot meet the requirement of cold energy demand end or cooling system cannot stably cool, refrigerating unit auxiliary system is opened, the opening of distribution valve is adjusted according to the temperature of cold energy demand end, the coolant water through distribution valve and the coolant water without distribution valve are mixed in mixer, to meet the cold energy demand of demand end.The system has the advantages of energy saving, sustainable and stable cooling, and has the value of commercial application.

The present application provides an optimization scheduling method considering the participation of chicken house flexible resources in power distribution network peak load shifting, and relates to the cross technical field of facility agriculture and power grid optimization scheduling, which comprises the following steps: based on the industry load in the whole cycle, using the heat production equation and mechanism model equation of cage chicken house application scene, a typical cage chicken house daily constant temperature energy demand model is constructed; based on the constructed typical cage chicken house daily constant temperature energy demand model, the cage chicken house load is classified, and the classified load is superimposed to construct a load flexibility potential model; based on the constructed load flexibility potential model and the power grid peak load shifting model of adjustable load, by setting the objective function and constraint condition, and using the model optimization algorithm, the optimization scheduling scheme of power distribution network peak load shifting is obtained. The power grid peak load shifting model based on adjustable load constructed by the present application smooths the load curve of power grid, and realizes the economic operation of power grid.

This invention relates to the field of carbon emission forecasting technology, providing a carbon emission forecasting method, system, computer equipment, and storage medium. The method includes: decomposing the industrial-specific final energy consumption data from the overall industry-specific final energy consumption data based on historical annual industrial end-product energy consumption data by category and type; predicting and analyzing this data to obtain the target year's overall industry-specific final energy consumption forecast data; and calculating the primary energy consumption forecast data based on the target year's overall industry-specific final energy consumption forecast data using power generation ratio prediction data obtained from historical annual electricity data evolution analysis, thereby obtaining the predicted value of regional energy consumption carbon emissions. This invention can capture the natural laws governing the impact of energy structure adjustment, technology diffusion, and resource constraints on energy demand and carbon emissions, improving the reliability and accuracy of regional energy carbon emission forecasting.

This invention discloses a system and method for hydrogen production from waste aluminum and resource utilization of byproducts, belonging to the field of solid waste treatment and resource utilization technology. This invention innovatively integrates four technologies—hydrogen production from waste aluminum alkaline solution, calcification for silicon removal, seed decomposition for aluminum extraction, and intelligent alkaline solution recycling—into a continuous system. While producing hydrogen from waste aluminum, it simultaneously recovers aluminum hydroxide and calcium silicate resources, improving resource utilization. A staged impurity removal strategy is adopted to ensure the purity of byproducts while simultaneously achieving the recycling of alkaline solution, thereby reducing process costs and improving environmental benefits. An energy recovery and utilization unit is set up to use the heat released from the tail gas and hydrogen production reaction to heat the internal heating devices, significantly reducing external energy demand. An inert gas recovery device is also equipped in the hydrogen storage unit to reduce external material consumption, thus improving the economics and engineering feasibility of the process.

A natural gas zero-carbon heating and carbon material co-production system based on liquid metal catalytic cracking and a control method thereof. The present application belongs to the technical field of energy chemical industry and clean heating. The present application solves the problems of low utilization rate, high carbon emission and poor economy of traditional heating equipment. The present application uses pipeline natural gas as raw material, which is cracked into hydrogen and solid carbon in a high-temperature liquid metal catalytic cracking reactor; the hydrogen is fed into a double-loop combustion chamber, a part of which is combusted to provide zero-carbon heating for the terminal, and the other part of which is combusted to provide heat energy back to the cracking reactor to form an energy closed loop; the solid carbon is separated and post-processed into high-value carbon material products. The present application is provided with a dynamic carbon management device and an arc-shaped flow guide inner wall to ensure long-term continuous operation of the reactor, and can also realize heat, electricity and cold combined supply through valve switching. The present application realizes the collaborative conversion of natural gas into clean heat energy and high-value carbon materials, has the characteristics of zero-carbon environmental protection, severe cold adaptation and economic profitability, and meets the demand for composite energy.

The application discloses an energy data management method, system and device of a movable intelligent building cabin, and relates to the technical field of data management. The method comprises the following steps: deploying a sensor network on the movable intelligent building cabin, collecting energy data, environmental data and user behavior data in real time, and performing correlation fusion to generate an energy real-time state vector; constructing an energy output prediction model and an energy demand prediction model; performing energy prediction on the energy real-time state vector in a preset time window to obtain energy output prediction parameters and energy demand prediction parameters; performing energy regulation analysis on the energy output prediction parameters and the energy demand prediction parameters to determine target energy regulation strategy parameters, and performing dynamic management on energy data. The technical problems that the prior art is difficult to dynamically adapt to changes in the energy demand of the movable building cabin, resulting in energy waste and supply-demand mismatch are solved, the technical effect of intelligently regulating the energy management strategy and improving the energy supply-demand matching degree is achieved.

The application discloses an energy and power integrated system based on a high-temperature proton exchange membrane fuel cell and relates to the technical field of aviation energy and power integration. The system comprises a system shell, an energy module, an air power module and a core tail nozzle which are arranged in the system shell. The energy module comprises a catalytic reforming chamber, a high-temperature proton exchange membrane fuel cell group and a conventional combustion chamber which are arranged in the middle section of the system shell in sequence. The catalytic reforming chamber is connected with the high-temperature proton exchange membrane fuel cell group. The high-temperature proton exchange membrane fuel cell group is connected with the conventional combustion chamber. The high-temperature proton exchange membrane fuel cell is electrically connected with the air power module. The air power module is arranged in an air inlet pipeline at the front end of the system shell and is connected with the catalytic reforming chamber and the high-temperature proton exchange membrane fuel cell group respectively. The core tail gas nozzle at the rear end of the system shell is in communication with the conventional combustion chamber. The application takes into account the energy demand and power demand of an aviation aircraft and effectively improves the performance of an engine.

The invention relates to a method for converting thermal energy into electrical energy based on a counterclockwise thermal regeneration cycle, combined with thermal acceleration and its application, which can be used mainly in the energy industry. The demand for energy is increasing worldwide and increases the anthropogenic stress on the climate and the environment, because, according to the current state of the art, mainly fossil energy sources are burned for mobility and energy generation. This generation is based exclusively on clockwise thermal energy cycles. The side effects are residual heat and exhaust gases. The problem addressed by the invention is that of reducing the anthropogenic stress on the climate and the environment with a new simple method.Although counterclockwise refrigeration cycles require compression work for the drive unit, they can be thermally regenerated because the cooling required for condensation occurs at a higher temperature and pressure than evaporation. If the increase in volume in the phase change is also used to increase the velocity of the fluid across the flow cross-section (thermal acceleration), more flow energy is available in the process for power generation than is required for internal circulation. A counterclockwise thermal energy process.

This application discloses a real-time energy management method for microgrids, belonging to the field of power control technology. The method includes: acquiring and recording the energy supply data of the microgrid to obtain historical energy data; analyzing the energy supply at the next energy supply time node within the current energy supply cycle based on the historical energy data obtained during the current energy supply cycle; acquiring the environment of the microgrid and obtaining energy supply fluctuation data based on the environmental information; acquiring the trend of energy supply data changes in each energy supply cycle to obtain the energy demand of the microgrid in the current energy supply cycle; verifying the expected energy supply data and energy supply fluctuation data using the energy demand; determining the microgrid energy adjustment mode for the next energy supply time node based on the energy supply data analysis benchmark, and executing the adjustment when the next energy supply time node arrives. This method solves the problems of insufficient accuracy in microgrid energy analysis and low system robustness in existing technologies.

This invention belongs to the field of energy demand forecasting technology, and discloses a method and system for forecasting regional energy system demand. The method includes: determining the primary energy demand of each industry in a target region; constructing a calculation model for carbon emissions and energy utilization costs in the target region based on the primary energy demand of each industry, carbon emission coefficients of various primary energy sources, and utilization cost coefficients of various energy sources; constructing an optimization function based on determined energy utilization constraints and carbon emission constraints; solving the optimization function to obtain the optimal solution; and obtaining energy consumption, carbon emissions, and energy cost data for all industries in the target region based on the optimal solution, the target region carbon emission calculation model, and the energy utilization cost calculation model. This invention constructs an optimization function based on energy utilization constraints and carbon emission constraints, with the optimization objectives of minimizing total energy costs and achieving carbon neutrality in the energy system, realizing the overall simulation of energy system demand and carbon emissions under multiple scenario conditions.

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.

This invention relates to the field of vehicle energy management technology and discloses a method for generating electricity and charging a hybrid electric vehicle (HEV). The method includes monitoring the status and relative position of the requesting and supplying vehicles, analyzing energy demand and power generation capacity; generating a dynamic charging strategy based on the matching results, which integrates spatial docking guidance, energy transfer protocols, and power generation control timing parameters; executing the strategy to guide the vehicles to complete physical docking, and controlling the supplying power system to generate and transmit electricity according to a preset timing sequence, while simultaneously monitoring process data and performing real-time optimization. This invention achieves adaptive and highly efficient collaborative energy replenishment for vehicles in dynamic driving environments, improving the energy utilization flexibility and overall energy efficiency of hybrid electric systems.

The application discloses a light storage direct flexible control method and system for a net zero carbon commercial complex, which comprises collecting real-time data including human flow, photovoltaic power generation, energy storage state, lighting and elevator operation, predicting future human flow after data cleaning and trend component extraction. Based on the human flow prediction value, peak period is determined, and the energy consumption weight of the system is evaluated combined with real-time data to complete energy demand prediction. With the goal of minimizing photovoltaic curtailment, the optimal photovoltaic output instruction is calculated to form a power generation scheme. According to the energy storage state, the discharge power, execution time and duration of the future period are optimized to develop an energy storage scheduling strategy. According to the energy prediction and lighting data, the light brightness level and switching strategy are optimized in different regions to form a lighting adjustment scheme; combined with the human flow and elevator data, the elevator operation frequency and scheduling strategy are optimized. All schemes are summarized to generate unified collaborative control instructions and execute them. The method realizes efficient use of energy.

This invention discloses a nuclear power generation and hydrogen production integrated utilization system, relating to the field of nuclear power hydrogen production technology. The key technical point is that by simultaneously distributing the high-temperature thermal energy of a molten salt reactor to a supercritical carbon dioxide Brayton cycle power generation system and a three-step vanadium-chlorine thermochemical cycle hydrogen production system, a new parallel-coupled, cascaded energy conversion architecture is constructed. This fundamentally overcomes the drawback of mismatch between heat grade and energy demand in traditional series-type nuclear power integrated utilization schemes. This design not only enables efficient power generation from high-temperature thermal energy and gentle hydrogen production from mid-temperature thermal energy, but also achieves deep recovery of waste heat through an internal heat exchange network, significantly improving the overall energy utilization efficiency of the system. The invention demonstrates significant technological progress in improving energy utilization efficiency, reducing production costs, and decreasing carbon emissions, providing a practical technical path for the multi-product integrated utilization of nuclear energy and large-scale green hydrogen production.

The present application relates to the technical field of power distribution network planning and operation, and discloses a power distribution network operation planning scheme generation method, system, device and medium integrating source and load prediction and operation deduction, which comprises the following steps: forming a preset time based on source and load prediction requirements, and uniformly dividing the preset time to obtain time intervals; predicting the estimated available power of power supply side thermal power plants and the estimated demand of load side energy demand in the time intervals, respectively, to obtain the distribution of thermal power plants and energy demand; calculating a first fault tolerance range of the estimated available power and a second fault tolerance range of the estimated demand; generating a connection topology graph and obtaining the connection path between the thermal power plants and the energy demand; obtaining a loss coefficient according to an electric power transmission loss model to form a backup operation scheme and deduce a switching degree, and taking the backup operation scheme with the smallest switching degree as the target operation scheme. The present application can realize stable and efficient operation of the power distribution network, and improve power supply reliability and economy.

The application provides a control method and device of an electric water heater and electronic equipment, comprising: collecting energy demand data of each water use period of the electric water heater in a preset learning period, wherein the energy demand data comprises water flow, outlet water temperature, inlet water temperature, water use starting time, water use ending time and real-time inner container water temperature; obtaining a water use period, an energy consumption rate and an energy loss rate based on the energy demand data, and constructing an energy demand table; the energy demand table comprises corresponding water use date, water use period, energy consumption rate and energy loss rate; if water use demand exists in the current water use date, calculating water use demand energy and water use loss energy according to the energy demand table, determining target energy storage energy based on the water use demand energy and the water use loss energy, and controlling the electric water heater to store energy in a valley period of the current water use date based on the target energy storage energy. Precise energy storage control can be realized, and user experience is improved.

In waste management systems, energy management refers to dynamically adjusting the system's energy demand at different times, reducing energy consumption during peak electricity price periods and increasing energy consumption during off-peak periods to optimize energy costs in industrial waste management systems. Modern industrial systems typically consist of complex multi-layer industrial task networks. Traditional demand response techniques that only consider a single layer of the network and a single system are ineffective in reducing energy costs in multi-layer network environments, and may even lead to negative effects such as delays in overall system task completion times. This paper proposes a multi-networked waste management energy management optimization technique. This method divides multi-layer industrial network demand response energy optimization into inter-layer demand response and intra-layer demand response stages, which can improve the overall task execution efficiency in multi-networked waste management systems without affecting daily task completion requirements.

This invention provides a method for constructing a photovoltaic (PV) power generation decommissioning path calculation model based on dynamic material flow, relating to the field of PV power generation technology. The method includes: collecting historical PV installation data of a target region to generate a first PV installation increase table; predicting future new installation capacity by combining industrial planning, capacity constraints, and energy demand; calculating PV installation outflow based on lifetime distribution function and cross-regional flow dynamic coupling coefficient, and calculating total inflow based on inventory difference; integrating historical and future data to generate a second PV installation increase table, and correcting model parameters by referencing regional data and operating condition data. This invention, through multi-dimensional dynamic factor fusion, sample refinement, and cross-regional error correction, solves the problems of insufficient prediction accuracy and failure to consider composite influencing factors in existing technologies, significantly improving the calculation accuracy of PV installation increase and decommissioning outflow, and providing reliable support for PV industry decommissioning path planning and resource optimization.

The invention discloses an agricultural integrated energy park optimization control method considering environmental capacity constraints, which optimizes a multi-energy scheduling strategy and improves energy utilization efficiency. The method comprises the following steps: firstly, constructing a multi-energy system operation control and pollution emission model, quantifying the influence of pollution emission on the environment, introducing environment capacity constraint, and evaluating and dynamically adjusting an energy scheduling strategy in real time; and then, proposing an optimization control model based on a fuzzy membership degree, and processing a nonlinear relationship between agricultural production requirements and energy supply by adopting a fuzzy theory. Secondly, providing a comprehensive planning method based on environmental capacity evaluation, and solving a long-term energy configuration scheme by adopting dynamic planning; and finally, proposing an optimization control model based on data driving, predicting an energy demand and a pollution emission trend by adopting a deep learning algorithm, dynamically adjusting an operation strategy, and ensuring efficient operation of the system under the constraint of the environmental capacity. According to the invention, energy-environment collaborative management can be realized, the operation efficiency is improved, and sustainable development is promoted.

Embodiments of the present invention provide an operating method, apparatus, microwave heating device, readable storage medium, and chip. The operating method includes: acquiring operating parameters of the microwave heating device, including energy demand parameters, a set power, and a safe duration for maintaining the set power; receiving a first input and determining the operating moment at which the first input is received; determining a first heating power and a first duration based on the operating moment and the safe duration; and controlling the operation of the microwave heating device based on the first heating power and the first duration until the energy generated by the microwave heating device exceeds the energy demand parameters. The solution of the present invention optimizes the heating process, ensures device safety, and improves heating efficiency. By intelligently adjusting power and time, the same heating effect can be achieved in a shorter time. Furthermore, by avoiding prolonged high-power operation, overheating damage to key components such as magnetrons, frequency converters, and transformers is reduced.

The application discloses a semi-submersible truss type net cage culture platform integrated with wave energy devices, which comprises a semi-submersible truss type bearing platform, a pendulum wave energy converter, an oscillating buoy wave energy converter, a deep water culture net cage system and a mooring system. The semi-submersible truss type bearing platform is coupled with the pendulum wave energy converter and the oscillating buoy wave energy converter, so that the wave energy of different wave frequencies and wave heights can be fully captured, energy efficient conversion can be realized through a matching power output system, independent guarantee can be provided for power supply of platform equipment operation, culture operation and living areas, traditional fuel power supply can be replaced, carbon emission and operation cost can be greatly reduced, and the energy requirement of deep sea long-term culture can be met.

An example operation includes at least one of determining an energy need from each of a plurality of locations in an area, based on a criticality of the energy need, determining a location of an electric vehicle (EV) that can provide energy to each of the plurality of locations, estimating a future availability of at least one additional EV and a future location of the at least one additional EV that can provide the energy to each of the plurality of locations, and autonomously navigating, by the EV, to a first location of the plurality of locations when the criticality of the energy need of the first location is greater than the criticality of the energy need of a second location of the plurality of locations, wherein the location of the EV is closer to the second location than the first location.