860 results about "Cogeneration" patented technology

Disclosed in the present invention are a low-carbon operation method and system for an integrated electric-thermal energy system under a demand response. The method comprises: collecting data in a combined heat and power generation unit, establishing a low-carbon demand response model on a demand side, and constructing an integrated electric-thermal energy system model; on the basis of the integrated electric-thermal energy system model, establishing an optimal scheduling model that satisfies an operational constraint condition and aims to maximize the revenue of an energy supply side; establishing a carbon emission flow model to calculate a carbon emission flow, mapping the carbon emission of the energy supply side to a load side, and establishing the low-carbon demand response model on the demand side by maximizing the consumer surplus as an objective; and using a genetic algorithm to solve the optimal scheduling model that aims to maximize the revenue of the energy supply side, and the low-carbon demand response model on the demand side, obtaining a low-carbon optimization scheduling plan of the integrated electric-thermal energy system, and implementing scheduling of the integrated electric-thermal energy system. According to the present invention, the carbon emission of the integrated electric-thermal energy system is reduced, the cost of energy conservation and emission reduction is reduced, and the low carbon performance and the economical efficiency are both considered.

The invention relates to the technical field of heat energy recovery, in particular to an efficient multistage waste heat recovery and reutilization combined heat and power generation system which comprises a heat output calculation module, a temperature difference mode analysis module, a heat exchange efficiency analysis module, an optimal parameter identification module, a condenser management module and a condensate water recovery control module. According to the method, temperature, flow and pressure data of multiple positions are collected in real time, the heat fluctuation trend under multiple input conditions is accurately predicted, a basis is provided for follow-up optimization decision making, and through dynamic prediction of a temperature difference mode, the heat exchanger inlet and outlet temperature and the mutual relation between multiple equipment working parameters are combined, so that the heat exchange efficiency is improved. Real-time evaluation of the heat exchange efficiency is achieved, construction of a working model of a heat exchanger is combined, optimal working parameters under multiple temperature gradients are accurately recognized, optimization of working parameters of a condenser and condensate water recovery equipment is combined, the energy utilization rate of the combined heat and power generation system is increased, energy consumption is reduced, and resource waste is reduced.

An energy storage system (TES) converts variable renewable electricity (VRE) to continuous heat at over 1000° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. The delivered heat which may be used for processes including power generation and cogeneration. In one application, there are thermal energy storage units that provide existing power plants with greater system efficiency, safety, and reduced fuel consumption.

The invention discloses a combined heat and power generation system control strategy based on an AME-TD3 algorithm, and belongs to the technical field of combined heat and power generation system optimization control. Comprising the following steps: S1, collecting system parameters and initializing a CHP running state; s2, when a target # imgabs0 # value is calculated, an entropy reward mechanism is introduced; s3, realizing exploration and utilization of an adaptive noise adjustment mechanism and a dynamic balance strategy based on Critic network evaluation; and S4, optimizing the control strategy in real time. Aiming at the problem that an existing TD3 algorithm is insufficient in exploratory performance, an entropy correction item is introduced into calculation of a target # imgabs1 # value, structural correction is conducted on a target value function, strategy updating is more efficient, and the effectiveness of overall strategy optimization is improved; aiming at the problem that random noise in a traditional TD3 algorithm cannot adapt to a complex environment, a dynamic self-adjusting noise generation function is added in a strategy updating process, so that the convergence speed is increased, the stability is enhanced, and the self-adaptive adjustment capability of a system to load fluctuation and environmental condition change is enhanced. The method has good expandability.

The invention belongs to the technical field of energy storage, and relates to a compressed air and water coupled multi-energy co-production energy storage system and method, comprising an air compressor, a first heat exchanger, a second heat exchanger, an air turbine and a cooling module; a circulating medium of the first circulating loop is fused salt; the circulating medium of the second circulating loop is water, and the second circulating loop comprises a low-temperature water tank, a first booster pump, a second heat exchanger, a high-temperature water tank, a flash tank, a third heat exchanger, a steam turbine high-pressure cylinder and a heating module which are sequentially communicated end to end. Compression heat generated by compressed air can be stored in fused salt and water, special geographical conditions needed for storing high-pressure air are avoided, meanwhile, in the energy release stage, the stored water is used for flash evaporation and fused salt heating and then enters a steam Rankine cycle to do work, combined heat and power generation can be achieved in winter, combined cooling and power generation can be achieved in summer, and the energy-saving effect is achieved. Therefore, combined supply of different kinds of energy in different seasons is achieved, and the energy supply efficiency is improved.

The invention discloses a combined heat and power generation heat supply unit heat and power load optimization method. The method comprises the following steps that S1, heat and power load data, equipment operation parameters and environment parameters of a combined heat and power generation unit are collected in real time; s2, preprocessing the collected data, including noise filtering, data standardization and feature extraction; s3, constructing a dynamic digital twinborn model based on the preprocessed data, and calculating an optimal thermoelectric load distribution scheme through an improved intelligent optimization algorithm; s4, adjusting thermoelectric load output of the unit according to an optimization result, and verifying a control effect in real time through a digital twin model; and S5, feeding back the actual operation data to the digital twinborn model, and dynamically updating model parameters to improve the prediction precision. The invention belongs to the field of thermoelectric units, and particularly relates to a thermoelectric load optimization method for a combined heat and power generation heat supply unit.

The invention relates to the technical field of hydrogen load capacity configuration, in particular to a multi-scene hydrogen load comprehensive energy system double-layer capacity optimal configuration method, which comprises the following steps of: firstly, constructing a multi-scene model containing strong, weak, discontinuous and non-hydrogen loads based on the time sequence characteristics of hydrogen loads in an industrial park; then a comprehensive energy system mathematical model covering wind and light power generation, hydrogen energy conversion, multi-type energy storage and cogeneration units is established; then, constructing a double-layer capacity optimization configuration model of which the upper layer takes the whole life cycle cost minimization and the lower layer takes the operation cost minimization and the system stability optimization as targets; and finally, solving a Pareto leading edge by adopting a non-dominated sorting genetic algorithm with an elitist strategy, making a decision by utilizing an approximate ideal solution sorting method, and screening out a capacity configuration scheme with optimal comprehensive performance. The problem that a traditional configuration scheme is difficult to adapt to multi-scene hydrogen load fluctuation is effectively solved, and the economical efficiency, the stability and the renewable energy consumption capacity of the system are remarkably improved.

A thermal energy storage (TES) system converts variable renewable electricity (VRE) to continuous heat at over 900° C. Intermittent electrical energy heats a solid medium. Heat from the solid medium is delivered continuously on demand. Heat delivery via flowing gas establishes a thermocline which maintains high outlet temperature throughout discharge. The delivered heat which may be used for processes including power generation and cogeneration. Configurations of simple cycle systems and combined cycle power plants using thermal energy storage units can provide even greater efficiency and responsiveness.

The invention discloses a high-pressure combustion combined heat and power generation energy storage system and method for hydrogen and oxygen production through electrolysis, and relates to the field of hydrogen energy storage. After the electrolytic cell produces high-pressure hydrogen and oxygen, the high-pressure hydrogen and oxygen are stored in the hydrogen / oxygen storage tank, the system can operate in a hydrogen / oxygen mode, and in the oxygen mode operation, the hydrogen and oxygen steam mixed gas from the oxygen storage tank and the hydrogen / oxygen evaporation compressor are combusted in the high-pressure combustion chamber to generate superheated steam, and then the superheated steam enters the expansion turbine to do work; due to excessive oxygen, dead steam after acting is separated into two working media through a gas-liquid separator, that is, gas enters a cooler to be cooled and then returns to a combustion chamber through a hydrogen / oxygen evaporation compressor, drainage water generated after liquid enters a heat supply heat exchanger is pressurized through a water pump and then enters a high-temperature combustion chamber, and therefore clean utilization of hydrogen energy and cyclic regeneration of the working media are achieved. The system can realize high power generation efficiency and excellent environmental protection performance, and is suitable for regions requiring stable consumption of fluctuating renewable energy sources, power and heat supply and the like.

The utility model provides a peak-shaving steam supply system for deep waste heat utilization of a thermoelectric unit, which deeply recovers cold end waste heat and flue gas waste heat of a cogeneration unit, is coupled with a two-stage compression heat pump, extracts waste heat to heat demineralized water, and serves as a primary heat source for supplying industrial steam, so that the waste heat participates in external heat supply; the superheater utilizes the generating capacity of the unit to enable industrial steam to reach steam supply parameters, the waste heat of the unit and the generating capacity are combined for external steam supply, the circulating heat efficiency is improved, the steam supply capacity is improved, meanwhile, the on-grid electricity is reduced, thermoelectric decoupling is achieved, the unit adjusting operation interval is expanded, the operation cost and pollutant emission are reduced, and peak regulation or spot transaction earnings are improved. And a clean, low-carbon, flexible, efficient, economical and energy-saving combined heat and power generation system is constructed.

The invention discloses a multi-time-scale park integrated energy system distribution robust optimization scheduling method, which comprises the following steps of: constructing an electric heating collaborative system model taking a combined heat and power generation unit as a core, and introducing a carbon transaction mechanism; constructing a confidence set in combination with a 1-norm and an infinity-norm, and respectively making a robust start-stop plan and a flexible operation strategy in day-ahead and intra-day two-stage scheduling; a column and constraint generation algorithm is adopted to decompose the constructed day-ahead and intra-day two-stage model into a main problem and a sub-problem for repeated iterative solution, and an optimal scheduling scheme with both economical efficiency and robustness is obtained. According to the method, the uncertainty of new energy prediction is fully considered, and the coping of the park to the randomness of the new energy can be better played through processing of different time scales.

The invention relates to the technical field of energy testing, in particular to a self-adaptive dynamic energy testing method based on combined heat and power generation, which comprises the following steps: constructing a thermoelectric coupling transfer model and a working condition identification model, and inputting power generation power and heat supply power into the thermoelectric coupling transfer model to correct model parameters, inputting the environmental parameters into a working condition recognition model, recognizing a current working condition type based on a preset working condition feature library, calling an initial test scheme from a test scheme library according to the current working condition type, and generating a dynamic test scheme through a machine learning algorithm in combination with the parameters corrected by the thermoelectric coupling transfer model; and controlling the test equipment to execute a test based on the dynamic test scheme, collecting test data in real time, calculating a system performance index according to the test data, comparing the system performance index with a preset threshold value, and generating feedback information for adjusting the test scheme. Therefore, the problems that in the prior art, a test scheme is fixed and cannot adapt to complex working conditions, and performance evaluation is incomplete are solved.

The invention provides a cogeneration unit peak regulation capability evaluation method, which comprises the following steps: firstly, constructing a thermodynamic system mathematical model, solving system coupling parameters under a deep peak regulation working condition through a multi-layer iterative loop architecture, and generating a multi-working-condition data set which covers a full working condition and meets physical consistency; secondly, deducing a linear qualitative relation equation of the power, the main steam flow and the heat supply steam extraction flow, preprocessing a data set, training a pure data driving model as a performance reference, introducing the linear qualitative relation equation as a physical constraint item into a loss function, and constructing and training a PINN; and finally, the rated boundary condition of the peak regulation capacity is determined, a thermal characteristic curve is obtained through PINN simulation, the peak regulation capacity range and the real-time peak regulation margin under different heat supply requirements are calculated, and the result is transmitted to a power system dispatching platform. According to the method, the all-working-condition peak regulation evaluation precision and reliability can be improved, and the flexibility and universality of the model are enhanced.

The invention discloses a multi-energy microgrid dynamic balance control and energy scheduling method and system. The multi-energy micro-grid dynamic balance control and energy scheduling method comprises the following steps: establishing a dynamic electric and thermal load prediction model of a rotary hearth furnace; a multi-energy micro-grid framework containing biomass power generation, photovoltaic power generation, gas turbine combined cooling heating and power generation, flue gas waste heat power generation and energy storage is constructed; establishing a system dynamic balance model and a multi-objective optimization framework considering production process constraints; designing a hierarchical dynamic balance joint control strategy; and scheduling by adopting a multi-time scale optimization algorithm. Through multi-energy complementation, waste heat gradient utilization and intelligent optimization scheduling, economical, reliable, low-carbon and efficient operation of energy supply of the rotary hearth furnace is achieved, comprehensive energy consumption and carbon emission are remarkably reduced, and an effective solution is provided for green low-carbon transformation of a high-energy-consumption industrial process.

The invention provides a combined heat and power system and a control method thereof, and relates to the technical field of combined heat and power. The system comprises a fuel gas heat and power cogeneration subsystem, a heat supply subsystem and a fused salt heat storage subsystem, the fuel gas heat and power cogeneration subsystem is used for fuel gas power supply, the fused salt heat storage subsystem can convert solar energy and / or flue gas generated by power supply into heat energy of high-temperature fused salt to be stored, and the heat supply subsystem conducts primary heating on heat supply return water through geothermal energy; and flue gas and / or high-temperature fused salt generated by power supply are / is used for conducting secondary heating on heat supply return water. Geothermal energy, solar energy and fused salt heat storage are coupled, and renewable energy sources are fully utilized for heat and power cogeneration, so that the power supply requirement and the heat supply requirement of a user are met. In the ground source heat pump unit, primary heating is conducted through geothermal energy, heat supply return water is heated into warm water, then the warm water is secondarily heated into hot water through smoke in the gas heat and power cogeneration system, the compression ratio of a compressor in a ground source heat pump can be reduced, and power consumption of the compressor is reduced.

A system for processing a natural gas stream includes a flow-through turboexpander generator, a throttle valve, a knockout separator, and an absorption separator. The flow-through turboexpander generator is configured to receive a first portion of the natural gas stream and generate electrical power in response to expansion of the first portion of the natural gas stream. The throttle valve is configured to reduce a pressure of a second portion of the natural gas stream. The knockout separator is configured to receive the first portion of the natural gas stream from the flow-through turboexpander generator and configured to separate phases of the first portion of the natural gas stream to produce at least a gaseous phase and an aqueous phase. The absorption separator is configured to receive the gaseous phase from the separator vessel and separate water from the gaseous phase to produce a dehydrated natural gas stream.

The invention relates to the technical field of energy engineering, in particular to an energy system optimization method based on mine compressed air energy storage, and the method comprises the following steps: S1, constructing a multi-energy-flow network: constructing the multi-energy-flow network comprising waste mine renewable energy power generation, compressed air energy storage, mining mountain combined heat and power generation and ORC devices in combination with the full life cycle of a mine, a waste-recovery coupling energy topology of electricity-heat-cold-gas cooperative energy supply is formed; s2, multi-energy flow system modeling: establishing a mining mountain side equipment model and an abandoned mine side compressor, turbine power generation, gas storage and heat storage tank model; and S3, optimization scheduling modeling: introducing a CVaR index, constructing an optimization objective function containing energy purchase, operation and maintenance and energy abandoning costs, setting system operation and equipment constraints, and forming a risk-considered CMIES optimization scheduling model. According to the invention, the operation cost of the energy system in the mining area is reduced, renewable energy sources are efficiently consumed, and resources in the whole life cycle of the mine are cooperatively utilized.

The embodiment of the invention discloses a peak regulation method, device and equipment for a cogeneration unit and a storage medium, and relates to the technical field of electric power, and the method comprises the steps: determining the heat user demand heat of a preset region in a current unit time length based on the heat supply scene information of heat users in the preset region and a predicted outdoor temperature sequence of the preset region in the current unit time length, based on heat supply network heat supply steam information extracted from the combined heat and power generation unit by a heat supply network heat supply system in the preset area in the current unit time, heat source heat supply heat of the preset area in the current unit time is determined; the supply and demand deviation is determined according to the heat user demand heat and the heat source heat supply heat, and when the supply and demand deviation is larger than a set deviation threshold value, a heat storage adjusting valve is opened to start a heat storage mode of the heat supply network heat supply system, and when the heat user demand heat is larger than the heat source heat supply heat, heat stored by the heat supply network heat supply system in the heat storage mode is used for heat supply. And the peak regulation flexibility of the cogeneration unit is improved in a peak load shifting manner.

The embodiment of the invention provides a multi-steam-source cooperative frequency modulation combined heat and power generation system and a control method. The system comprises a boiler, a high-pressure cylinder, an intermediate-pressure cylinder, a low-pressure cylinder, a power generator, a multi-stage regenerative heater, a heating system and a heating steam supply pipeline. A main steam outlet of the boiler is connected to the high-pressure cylinder through a main steam pipeline, a steam exhaust port of the high-pressure cylinder is connected to the intermediate-pressure cylinder through a pipeline, a steam exhaust port of the intermediate-pressure cylinder is connected to the low-pressure cylinder through a pipeline, and a steam exhaust port of the low-pressure cylinder is connected to the generator through a pipeline. A condensate water outlet of the medium-pressure cylinder is communicated to a condensate water inlet of the boiler through a first condensate water pipeline; the heating system is communicated with a steam exhaust port of the medium-pressure cylinder through a heating steam supply pipeline; the multi-stage regenerative heater is arranged on the first condensate water pipeline and connected with the high-pressure cylinder and / or the intermediate-pressure cylinder through steam extraction pipelines, and steam extraction adjusting valves are correspondingly arranged on the steam extraction pipeline between the high-pressure cylinder and the multi-stage regenerative heater and / or the steam extraction pipeline between the intermediate-pressure cylinder and the multi-stage regenerative heater.

The invention relates to the technical field of organic solid waste recycling and hydrogen energy, in particular to a hydrogen, electricity and heat co-production system and method for organic solid waste combustion and synergistic gasification. Organic solid waste is divided into high-calorific-value organic solid waste and low-calorific-value organic solid waste based on the calorific value and the water content, the high-calorific-value organic solid waste is used for calcining limestone, and the low-calorific-value organic solid waste is used for gasification; the organic solid wastes with different heat values and water contents are fully digested, and the problem of unstable operation caused by complex components of the organic solid wastes is solved. A three-stage energy gradient utilization module is constructed, and a traditional single power generation and single heat supply mode is innovated into a heat energy, electric energy and hydrogen energy co-production mode. A calcium-based material circulation system is systematically constructed, and hydrogen production-pollution control synergic integration is realized. The method has remarkable economic and environment-friendly benefits, and a solution is provided for high-value utilization of organic solid waste and preparation of green hydrogen.

The present application relates to the technical field of cogeneration system optimization, in particular to a heat and electricity decoupling system based on geothermal long-time energy storage and a control method. By constructing a low-temperature underground aquifer energy storage unit (ATES), combined with an electric heat pump unit (EHP) to recover the waste heat of a cogeneration unit (CHP), the CHP is deeply decoupled from heat and electricity through collaborative operation. Through intelligent scheduling strategy, the heat supply ratio is dynamically allocated, the power generation adjustment range of the cogeneration unit (CHP) is improved, the wind power consumption capacity is improved, the wind power curtailment rate is reduced, and it is suitable for centralized heating scenarios with high wind power penetration rate.

The invention belongs to the technical field of gas turbines, and relates to an indirect heating biomass gas turbine system and a method thereof, the indirect heating biomass gas turbine system comprises an air compressor, an air turbine, a generator, a combustion chamber, a first waste heat recovery module, an indirect heating module, a second waste heat recovery module and a third waste heat recovery module. The compressed air is heated in a mode of indirect heat exchange between the compressed air and the flue gas, direct contact between fuel combustion products and turbine blades is avoided, the problems of corrosion, dust deposition, abrasion, scaling and the like of the turbine blades are effectively prevented, the service life of core components such as the turbine blades is prolonged, and meanwhile the service life of the turbine blades is prolonged. The tail gas waste heat of the air turbine is used for heating compressed air, the average heat absorption temperature of air is increased, and therefore the fuel combustion thermoelectric conversion efficiency is improved, in addition, heat supply and cold supply are conducted on users through the tail gas waste heat of the air turbine, the energy utilization efficiency of the system is improved, and the energy consumption is reduced. And combined heat and power generation can be realized in winter, and combined cooling and power generation can be realized in summer.

The invention relates to the technical field of peak regulation of cogeneration units, in particular to an income model establishment method and system based on combined peak regulation of electric boilers. The method comprises the steps of determining a low-electricity-price period of current operation of the coal-fired unit, determining the total reduction amount of electricity selling income of the coal-fired unit in a non-heat-supply season period in the low-electricity-price period according to a real-time transaction electricity price in an electricity spot market transaction mode, determining a high-electricity-price period of current operation of the coal-fired unit, and determining the total reduction amount of electricity selling income of the coal-fired unit in a non-heat-supply season period in the high-electricity and establishing an annual income model of the coal-fired unit in an electric power spot market transaction mode according to the total coal-saving income of the coal-fired unit in the non-heat-supply season period and the total electricity selling income reduction amount. According to the method, the space-time transfer of the electric quantity is realized through low storage and high discharge of the electric quantity, the earnings of the electric boiler combined peak regulation system can be calculated and analyzed through the annual earnings model in the electric power spot market transaction mode, and a technical reference is provided for investment decision and operation analysis of a reconstruction project of a power generation enterprise.

The invention discloses a multi-time-scale layered regulation and control method for a combined heat and power generation system considering light-storage-biomass collaboration, belongs to the technical field of power distribution network collaboration, and comprises the following steps: establishing a light-storage-biomass collaboration combined heat and power generation system model, and constructing cross-time-period energy storage constraints of a biogas digester biomass energy storage model and an energy storage battery model; a day-ahead-day-intra-day two-stage multi-time-scale layered regulation and control framework of a light-storage-biomass collaborative combined heat and power generation system is established, the comprehensive power utilization cost of the CHP system is minimized in the day-ahead stage of the upper layer, and the power deviation of photovoltaic power generation is reduced in the day-intra model of the lower layer; an intra-day rolling correction method based on model predictive control is provided, a light-storage-biomass collaborative combined heat and power generation system model is converted into a state-space equation, and dynamic compensation is performed by adopting short-time scale predictive information according to the predictive deviation of photovoltaic output and load demand in actual operation, so that the predictive deviation of the photovoltaic output and the load demand in actual operation is corrected. The problems that renewable energy is difficult to fully consume and the power of the power distribution network fluctuates are effectively solved.

The invention discloses a fuel cell cogeneration system. The system comprises a vortex tube which receives high-pressure purified gas as feed and obtains hot-end purified gas and cold-end purified gas; the reforming hydrogen production system is used for receiving the hot end purified gas, one path of cold end purified gas which sequentially exchanges heat with the electric pile anode tail gas and the combustion chamber tail gas, and water vapor after heat exchange are used as raw materials, and reforming reaction is performed to obtain converted gas; the combustion chamber is used for receiving air and the other path of cold end purified gas as fuel and heating a reforming hydrogen production catalyst; and the electric pile is used for receiving the converted gas of the reforming hydrogen production system as anode feed, receiving the fresh air after heat exchange as cathode feed, obtaining anode tail gas and cathode tail gas and providing electric energy. According to the invention, the waste heat of the reforming system and the heat generated by the galvanic pile reaction are effectively recycled, and the supplement of process water is reduced.

The invention belongs to the technical field of comprehensive energy utilization, and relates to a multi-energy cogeneration carbon dioxide power cycle system and a method thereof. The multi-energy cogeneration carbon dioxide power cycle system comprises a gas storage bin, a first compressor, a first cooler, a liquid storage tank, a first turbine, a rear preheater, a hot water supply unit, a waste heat recovery unit and a cold energy recovery unit. The hot water supply unit supplies hot water to absorb heat generated by multi-stage compression of carbon dioxide to obtain steam, so that the steam is supplied to a user, and the waste heat recovery unit and the hot water supply unit are matched to absorb and store the waste heat of the system to heat the carbon dioxide after expansion acting. And then the cold energy recovery unit is used for recovering the cold energy in the carbon dioxide subjected to expansion acting so as to supply cold water to a user or make ice, so that the waste heat and the cold energy in the power circulation process can be recovered, steam and the cold energy including electric energy are output, the energy consumption of the system is reduced, and the energy utilization efficiency of the system is also improved.

The utility model discloses a hydrogen storage and supply device and a hydrogen fuel cell heat and power cogeneration system, and relates to the technical field of fuel cells. The hydrogen storage and supply device realizes normal-temperature and normal-pressure storage of hydrogen on the basis of a liquid organic matter hydrogen storage technology, and the principle is that hydrogen storage is realized by virtue of reversible reaction and hydrogenation reaction of unsaturated liquid organic matters such as olefin, alkyne or aromatic hydrocarbon and hydrogen, and hydrogen release is realized by virtue of dehydrogenation reaction. According to the liquid organic matter hydrogen storage technology, the hydrogen storage density is 5%-10%, and the hydrogen storage amount is large; and the hydrogen storage carrier is a liquid organic matter, normal-temperature and normal-pressure transportation can be achieved, convenience and safety are achieved, the requirement for the hydrogen liquid tank is low, and hydrogen leakage is basically avoided during transportation. And during dehydrogenation reaction, the temperature required by hydrogen desorption is low, the energy consumption is low, the hydrogen desorption rate is adjustable, and the hydrogen desorption device can be adapted to various hydrogen fuel cells. The hydrogen fuel cell heat and power cogeneration system collects and utilizes the lost heat of the cell, so that the comprehensive utilization rate of the hydrogen fuel cell is improved.

The invention discloses a heat and power load intelligent distribution method of a heat and power cogeneration system, and mainly relates to the field of heat and power cogeneration unit load distribution. Comprising the following steps: S1, establishing a combined heat and power generation unit and performing system analysis; s2, determining an optimization target and a constraint condition of multi-unit thermoelectric load distribution and an operation domain of the units; s3, coupling a thermoelectric load power station economy calculation model by using a random forest algorithm; s4, establishing an improved particle swarm algorithm model; and S5, carrying out heat and power load distribution on the cogeneration system by adopting the improved particle swarm optimization model established in the step S4. The method has the advantages that load optimal distribution of the cogeneration system can be achieved, it is ensured that the system keeps a low coal consumption level during operation, the calculation process is simplified, the scheduling cost of the system is reduced, the improved particle swarm optimization is introduced, the problems that the algorithm is long in operation time and the calculation result is unstable are solved, and the method is suitable for large-scale popularization and application. Therefore, a better optimization result is obtained.

The invention relates to the technical field of comprehensive utilization of solar energy, in particular to a photovoltaic heat combined supply self-adaptive heat flow control system and a control method thereof, a photovoltaic-heat-storage-diagnosis integrated module is composed of a photovoltaic layer, a micro-channel heat exchange layer, a heat storage unit, a self-diagnosis unit and an intelligent control unit, based on illumination intensity, assembly temperature, fluid flow, environment humidity and wind speed data, the flow velocity of a cooling medium is dynamically adjusted through an algorithm fusing model predictive control and deep reinforcement learning, and the controller adopts a multi-core heterogeneous processor and supports OTA remote upgrade and standardization module interfaces. Through the collaborative design of the double-sided power generation assembly and the composite nanofluid and in combination with an intelligent heat flow control strategy, the temperature of the photovoltaic assembly is stabilized within the optimal interval of 25-40 DEG C, and the power generation efficiency is improved by 15-30% compared with that of a traditional system; and the heat storage unit adopts a paraffin-based / carbon nanotube composite phase change material, and is matched with a three-stage waste heat recovery system, so that the breakthrough improvement of the comprehensive utilization rate of solar energy is realized.

The invention relates to the technical field of photovoltaic heating, in particular to a multi-loop variable-voltage working heat and power cogeneration system and a control method, and the method comprises the steps that system working data of the heat and power cogeneration system are collected; based on the system working data, a first relation model of the system working voltage and the temperature of the resistive heating tail end is established, and based on the first relation model, a second relation model of the inclined plane solar radiation intensity and the temperature of the resistive heating tail end is established; and determining a solar radiation intensity control point according to the second relation model, and starting a multi-loop control strategy under the condition that the real-time radiation intensity is lower than the solar radiation intensity control point. According to the method, it is considered that the output voltage of a photovoltaic array in the combined heat and power system can be changed due to the influence of the solar radiation intensity, and therefore the heat energy grade of the resistive heating tail end is improved by formulating a reasonable heating tail end loop control strategy.