Variable frequency electromagnetic induction boiler auxiliary pvt electro-optical heat integrated heating system and method

Abstract

The application discloses a variable-frequency electromagnetic induction boiler auxiliary PVT electric-optical-thermal integrated heat supply system, which comprises a photovoltaic-photothermal assembly, a water storage tank, a heat collection water tank, a ground source heat pump, a variable-frequency electromagnetic induction boiler, a buried pipe, a residential area heat network, an industrial area heat network and a photovoltaic inverter. The photovoltaic-photothermal assembly arranged on the top of a building comprises a solar cell panel and a heat collection part. The solar cell panel is connected with the photovoltaic inverter and then connected to a building microgrid. The building microgrid is electrically connected with a regional power grid. Unabsorbed electric energy is transmitted to a remote end, and when electric energy is insufficient, the electric energy from the remote end is fed back to the building microgrid. The heat collection part is connected with the water storage tank and the heat collection water tank. Water in the water storage tank is pumped into the heat collection part by a water pump to recover the waste heat of the solar cell panel. The heat collection water tank is connected with the ground source heat pump, the variable-frequency electromagnetic induction boiler, the residential area heat network and the industrial area heat network through valves, and is connected with the buried pipe through the valves and pipelines to realize on-demand multi-heat source cascade heat supply and short, medium and long term energy supply and demand balance.

Description

Technical Field

[0001] This invention relates to a heating system, and more particularly to a variable frequency electromagnetic induction boiler-assisted PVT electro-photothermal integrated heating system and method. Background Technology

[0002] With the increasing cleanliness and electrification of end-use energy consumption and the need to promote distributed energy supply systems, the efficient utilization of new energy sources and the substitution of electricity for building and industrial heating have become key technical issues.

[0003] When solar radiation strikes a solar cell, only 10%-20% (depending on the specific solar cell) of the solar energy is converted into electricity in engineering applications, while nearly 80% is converted into heat. Therefore, traditional solar energy utilization using photovoltaics alone causes the solar panel temperature to rise due to heat buildup, leading to a decrease in the solar cell's photoelectric conversion efficiency and wasting this heat.

[0004] Currently, the main sources of heat for buildings and industries are coal-fired boilers, gas-fired boilers, biomass boilers, and oil-fired boilers. These methods have low thermal efficiency, produce large amounts of pollutants, and cause serious environmental and noise pollution, making them unsuitable for the promotion of distributed heating.

[0005] Therefore, it is necessary to use technologies that can recover and utilize the waste heat from solar cells, and to find suitable alternatives for end-of-life heating.

[0006] The patent "Photovoltaic / thermal collector and gas-steam combined cycle unit combined energy supply system" mentions an integrated system of PV / T technology and a gas boiler that uses concentrating technology. This makes the coupled system complex to control, difficult to maintain, and costly. Furthermore, natural gas faces resource scarcity and reliance on imports, thus posing significant challenges to its economic viability and reliability. Existing technologies also use electric heaters and other equipment to reheat low-temperature hot water generated by PV / T, but traditional electric heaters have low efficiency and their power should not be too high, otherwise it will affect equipment lifespan and operational safety.

[0007] Currently, many methods for designing system capacity configuration and control strategies still focus on step-by-step design, that is, determining the capacity configuration first and then the control strategy. Because this step-by-step design approach makes it difficult to fully consider the differences in operating costs caused by differences in control strategies during the equipment selection stage, its results are generally locally optimal and it is difficult to consider overall system optimization. Summary of the Invention

[0008] To address the shortcomings of existing technologies, this invention discloses an integrated electro-photothermal heating system using a variable frequency electromagnetic induction boiler-assisted PVT (photovoltaic transducer), the technical solution of which is as follows:

[0009] A photovoltaic-thermal integrated heating system with variable frequency electromagnetic induction boiler-assisted PVT includes: photovoltaic thermal modules, a water storage tank, a hot water collection tank, a ground source heat pump, a variable frequency electromagnetic induction boiler, a heating network, and a photovoltaic inverter; characterized in that the photovoltaic thermal modules placed on the roof of the building include solar panels and a heat collection component, the solar panels being connected to the photovoltaic inverter and then connected to a building microgrid, which is electrically connected to the regional power grid; the heat collection component is connected to the water storage tank and the hot water collection tank respectively; the hot water collection tank is connected to the ground source heat pump and the variable frequency electromagnetic induction boiler respectively.

[0010] This invention also discloses an integrated electro-photothermal heating method for a variable frequency electromagnetic induction boiler assisted by a PVT (photovoltaic transducer), characterized in that the heating method includes the following operating modes:

[0011] (1) For operation mode with a certain amount of sunshine during the hot season: When the heating network users have heat energy demand, the hot water at the outlet of the hot water storage tank is heated by the ground source heat pump and then enters the heating network of the residential area for heating or is heated by the variable frequency electromagnetic induction boiler and then enters the heating network of the residential area and the heating network of the industrial area for heating; the return water of the heating network goes to the buried pipe to recover and store waste heat, and is used to heat the water at the outlet of the hot water collection tank after being cooled and released by the ground source heat pump.

[0012] (2) For the operation mode during periods of insufficient or no sunshine in the hot season: When there is no demand for heat energy from users of the heating network, the control module will disconnect the photovoltaic thermal module from the system. During this period, the ground source heat pump will obtain heat energy from the buried pipe heat exchanger. The low temperature heat source of the ground source heat pump heats the outlet water of the hot water collection tank. The outlet water of the hot water collection tank will be heated by the ground source heat pump and then directly enter the residential area heating network for heating according to the demand conditions, or be heated by the variable frequency electromagnetic induction boiler and then enter the residential area heating network and the industrial area heating network for heating. The return water of the heating network will be returned to the hot water collection tank for circulation.

[0013] (3) For the operation mode with a certain amount of sunshine during the cold season: when the water flow benefit of the photovoltaic thermal module is positive and the operation is safe, it shall be operated in the mode with a certain amount of sunshine during the warm season; when the operation safety of the photovoltaic thermal module cannot be guaranteed, the photovoltaic thermal module shall be disconnected from the system and operated in the mode with insufficient sunshine or no sunshine during the warm season.

[0014] (4) For the operation mode during the cold season when there is insufficient or no sunshine: disconnect the photovoltaic thermal modules from the system and operate the system according to the operation mode during the warm season when there is insufficient or no sunshine.

[0015] This invention also discloses a configuration method for an integrated electro-photothermal heating system using a variable frequency electromagnetic induction boiler-assisted PVT, characterized by: a configuration method for equipment selection and a configuration method for control strategy; the equipment selection configuration method employs an adaptive differential evolution algorithm based on successful history nested with a deep deterministic strategy gradient algorithm for iterative calculation. At the start of the calculation, firstly, the design load is imported; secondly, an initial population is obtained using the adaptive differential evolution algorithm based on successful history, and a new population is obtained through selection, crossover, and mutation operators; finally, the optimal hourly operating parameters of each device in the system are determined using the deep deterministic strategy gradient (DDPG) algorithm, thereby obtaining the annual comprehensive evaluation index under the optimal control strategy and thus obtaining the optimal system equipment selection for the design load; the control strategy part, based on the optimal hourly operating parameters of the aforementioned DDPG algorithm, issues instructions to each device in the system to achieve optimized control.

[0016] The present invention also discloses a non-volatile storage medium, characterized in that the non-volatile storage medium includes a stored program, wherein the program, when running, controls the device where the non-volatile storage medium is located to execute the above-described method.

[0017] The present invention also discloses an electronic device, characterized in that it comprises a processor and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein the computer-readable instructions execute the method described above. Beneficial effects

[0018] 1. The photoelectric conversion efficiency of solar cells is directly related to their operating temperature. Above the STC temperature, the photoelectric conversion efficiency decreases by 0.3-0.5% for every 1°C increase in temperature. The photovoltaic-thermal integrated utilization technology integrates photovoltaic cells with the solar collector, utilizing the cooling medium in the collector to absorb waste heat from the solar cells, effectively reducing the operating temperature of the solar cells, extending their lifespan, and improving their photoelectric conversion efficiency, thereby increasing the power generation efficiency of the solar cells. Simultaneously, waste heat recovery produces a usable medium-to-low temperature heat source, realizing solar cogeneration and effectively improving solar energy utilization. One set of equipment achieves the functions of two traditional photovoltaic and solar thermal systems, saving floor space.

[0019] 2. The variable frequency electromagnetic induction heating technology used can directly convert electromagnetic energy into heat energy. It has high energy conversion efficiency and is clean and environmentally friendly. Compared with traditional boiler heating technology, it has a wide output temperature adjustment range, can achieve efficient heating under variable output temperature conditions, has low operating noise, high degree of equipment integration for easy and quick installation, and high degree of electrification for easy integration with system control strategies to achieve intelligent heating.

[0020] 3. The underground pipe system utilizes the excellent characteristics of small underground temperature changes and strong heat storage capacity and high thermal resistance of the backfill material during construction to achieve short, medium and long-term energy storage and use. It can effectively adjust the supply and demand mismatch problem in the short, medium and long term, reduce the waste of solar energy, and effectively improve the utilization rate of solar energy.

[0021] 4. The ground source heat pump utilizes the medium- and low-temperature heat source provided by the buried pipe system to provide further efficient heating as needed. Unlike air source heat pumps, which are limited by the ambient temperature, the combination of water source heat pumps and buried pipe systems uses the heat source generated by storing surplus solar energy. It is applicable to a wide range of regions and allows the water source heat pump to operate in its high-efficiency range, achieving high COP utilization of medium- and low-temperature heat sources.

[0022] 5. Based on photovoltaic and solar thermal integrated utilization technology and variable frequency electromagnetic induction technology, coupled with heat pump equipment and underground pipe systems, this system regulates the imbalance between energy supply and demand and achieves multi-heat source cascade heating to reduce system losses. The system can effectively absorb solar energy and provide a comprehensive solution for electricity substitution to meet low-temperature heating needs in the building and industrial sectors, contributing to green and low-carbon development and showing great application potential. Attached Figure Description

[0023] Figure 1 This is a system diagram of the present invention;

[0024] Figure 2 Here is a flowchart of the system configuration optimization process for this invention;

[0025] In the diagram: 1. Photovoltaic thermal module; 2. Water storage tank; 3. Hot water collection tank; 4. Ground source heat pump; 5. Variable frequency electromagnetic induction boiler; 6. Buried pipe; 7. Residential heating network; 8. Industrial heating network; 9. Photovoltaic inverter; 10-14. Valves. Implementation

[0026] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0027] Please see Figure 1A photovoltaic-thermal integrated heating system with a variable frequency electromagnetic induction boiler and an auxiliary PVT (photovoltaic-thermal transformer) includes a photovoltaic thermal module 1, a water storage tank 2, a hot water collection tank 3, a ground source heat pump 4, a variable frequency electromagnetic induction boiler 5, a buried pipe 6, a residential heating network 7, an industrial heating network 8, a photovoltaic inverter 9, and valves 10-14. The photovoltaic thermal module 1, consisting of solar panels and a heat collection component, is placed on the roof of the building. The solar panels in the photovoltaic thermal module 1 are connected to the photovoltaic inverter 9 and then integrated into the building microgrid. The self-generated electricity is primarily used by the building microgrid to meet the electricity needs of residential lighting, air conditioning, auxiliary electric heating, pumps, and other electrical equipment. The regional power grid serves to transmit unused electricity elsewhere and to provide electricity when needed. The photovoltaic-thermal module 1 includes a heat collection section connected to a water storage tank 2 and a hot water collection tank 3. A water pump pumps water from the water storage tank 2 into the heat collection section to recover the waste heat from the solar panels, thereby reducing the temperature of the solar panels and improving their photoelectric conversion efficiency. This increases the power generation efficiency of the solar cells while producing a usable medium- and low-temperature heat source, realizing solar cogeneration. This effectively improves the solar energy conversion rate and achieves the functions of both traditional photovoltaic and solar thermal equipment.

[0028] The hot water tank 3 is connected to the ground source heat pump 4, the variable frequency electromagnetic induction boiler 5, and the buried pipe 6 through valves to achieve on-demand multi-heat source cascade heating and to balance energy supply and demand in the short, medium, and long term. Its operation modes are mainly divided into four situations: (1) operation during the warm season with a certain amount of sunshine; (2) operation during the warm season with insufficient or no sunshine; (3) operation during the cold season with a certain amount of sunshine; and (4) operation during the cold season with insufficient or no sunshine. Each situation can be further divided into two types: no heating demand and heating demand. The specific descriptions are as follows:

[0029] (1) For operation during warm seasons with a certain amount of sunshine, cold water in storage tank 2 is heated by the heat collection part of photovoltaic thermal module 1 to recover the waste heat of solar cells before entering hot water storage tank 3. When the heating network users have no heat demand, the hot water collection tank 3 is set to maintain a certain liquid level to reduce the heating start-up time when heat demand suddenly appears. The surplus heat is stored for a long time through valve 10 via buried pipe 6. After passing through buried pipe 6, hot water is further cooled and released by water source heat pump 4 through valve 11 to heat the water out of hot water collection tank 3. After further cooling, it becomes cold water and flows into storage tank 2 through valve 12. This scheme makes full use of the surplus heat of the heat collection part, and the heat absorption by ground source heat pump 4 can further reduce the inlet temperature of photovoltaic thermal module 1 and improve the power generation efficiency of photovoltaic module. When users in the heating network have a demand for heat energy, the hot water from the outlet of the hot water storage tank 3 is heated by the ground source heat pump 4 and then sent directly to the residential heating network for heating according to the demand conditions, or it is further heated by the variable frequency electromagnetic induction boiler 5 before being sent to the residential heating network and the industrial heating network for heating. The return water from the heating network goes to the buried pipe 6 to recover and store waste heat, and then passes through valve 11 and water source heat pump 4 for further cooling and heat release to heat the water from the hot water collection tank 3 before flowing into valve 12 to form a circulation.

[0030] (2) For operation during periods of insufficient or no sunshine in the hot season, and for periods when there is no heat demand from the heating network users, it is known that the system does not need to be started. Therefore, only the periods when the heating network users have heat demand need to be considered. During these periods, there is no solar energy available, so the photovoltaic thermal module 1 is removed from the system to avoid the heat dissipation effect caused by its large surface area. During this period, water enters through valve 13, and the stored heat energy is extracted through the buried pipe 6. It is then used as a low-temperature heat source for the water source heat pump 4 to heat the outlet water of the hot water collection tank 3, and then returns to valve 13 to complete the circulation. The outlet water of the hot water collection tank 3 is heated by the ground source heat pump 4 and then sent directly to the residential heating network for heating according to the demand conditions, or it is further heated by the variable frequency electromagnetic induction boiler 5 and then sent to the residential heating network and the industrial heating network for heating. The return water of the heating network returns to the hot water collection tank 3 through valve 14 for circulation.

[0031] (3) For operation during cold seasons with certain sunshine periods, the large heat exchange area of ​​the photovoltaic thermal module 1 may cause the outlet water temperature of the heat collection part included in the photovoltaic thermal module 1 to be lower than the inlet temperature or even freeze, endangering the safety of the solar panels included in the photovoltaic thermal module 1. Therefore, the water flow benefit and operational safety of the photovoltaic thermal module 1 need to be considered. When the water flow benefit of the photovoltaic thermal module 1 is positive and the operation is safe, it should be operated according to the operation mode during warm seasons with certain sunshine periods. When the operational safety of the photovoltaic thermal module 1 cannot be guaranteed, the photovoltaic thermal module 1 should be disconnected from the system and operated according to the operation mode during warm seasons with insufficient or no sunshine periods.

[0032] (4) For operation during periods of insufficient or no sunshine in the cold season, the photovoltaic thermal module 1 shall be disconnected from the system and the system shall be operated in the mode of operation during periods of insufficient or no sunshine in the warm season.

[0033] Please see Figure 2 The optimization of this system implementation scheme includes two parts: equipment selection and control strategy. Since equipment selection and control strategy jointly determine the merits of a design scheme, and the design of the control strategy depends on equipment selection, the optimization scheme of this system adopts an adaptive differential evolution algorithm based on success history nested with a deep deterministic strategy gradient algorithm for iterative implementation.

[0034] At the start of the calculation, the design load, i.e., the hourly load data of the system in a typical year, needs to be imported. Subsequent system equipment selection and control strategies will be designed and optimized based on this data. Then, an initial population is obtained using an adaptive differential evolution algorithm based on successful history. New populations are then obtained through selection, crossover, and mutation operators, randomly generating a series of design schemes. The decision variables are selection parameters such as the capacity or rated power of each system device, and the boundary conditions are the reasonable ranges of the capacity or rated power of each device. The objective function is the annual comprehensive evaluation index composed of the annual system cost and the solar energy guarantee rate. Since the calculation result of the objective function is related to the control strategy, a deep deterministic strategy gradient algorithm is used to determine the optimal hourly operating parameters of each device in the system when calculating the objective function, thereby obtaining the annual comprehensive evaluation index under the optimal control strategy under the current design scheme. New populations are repeatedly obtained through selection, crossover, and mutation operators, and the optimal system equipment selection and control strategy for the design load are obtained through iterative calculation.

[0035] The optimization problem in equipment selection involves aspects such as algorithm selection, objective function, decision variables, and boundary conditions. Since the system can exchange energy with the external power grid, it can meet user load demands under any time period and any operating strategy. Furthermore, the system emits no carbon during operation. Therefore, under any operating strategy, equipment selection only needs to consider improving the system's economy and energy self-sufficiency rate. Thus, the objective function for equipment selection includes the annual system cost and the solar energy guarantee rate, expressed as follows:

[0036]

[0037] In the formula: F This represents the annual system cost; the smaller the value, the better the system's economic performance. i The discount rate; m For system design life; For the initial investment in the system; For system operating costs.

[0038] The initial investment in the system is determined by the cost of each piece of equipment, which in turn is determined by the equipment's capacity and model characteristics. System operating costs mainly include equipment power consumption costs and equipment water consumption costs, which can be calculated hourly throughout the year using the transient system simulation software TRNSYS.

[0039]

[0040] In the formula: S is the solar energy guarantee rate, and the larger the value, the higher the degree of energy self-sufficiency of the system; Provides energy through solar power hourly throughout the year; This represents the system's total energy demand throughout the year, hourly.

[0041] The solar energy supply can be calculated annually using the transient system simulation software TRNSYS based on the hourly meteorological data of the area where the equipment is built. The total energy demand of the system is obtained from the hourly load data of a typical year.

[0042] The overall system target is set as the solar energy guarantee rate minus the annual system cost; the higher the value, the better the overall system performance.

[0043] Based on the overall objectives mentioned above, a success-history-based adaptive differential evolution (SHADE) algorithm is used to optimize the equipment selection parameters of the system. The objective function is the annual cost of the system and the solar energy guarantee rate. The decision variables are the selection parameters such as the capacity or rated power of each piece of equipment in the system, including but not limited to the diameter of the buried pipe, the equivalent area of ​​the buried pipe, the capacity of the water tank, the rated output of the water pump, the area of ​​the PV / T module, and the maximum output of the boiler. The boundary conditions are the reasonable range of the capacity or rated power of each piece of equipment, set according to the samples provided by the manufacturer. During the optimization algorithm operation, initialization is first performed by randomly selecting a value from the range of equipment capacity or rated output to generate several integrated heating system design schemes as the initial population. The annual cost and solar energy guarantee rate of each design scheme in the initial population are calculated, and the evaluation of the design scheme, i.e., the fitness, is obtained. Then, based on the principle of evolutionary algorithm, selection, crossover, and mutation operations are performed to generate the next generation population, and its fitness is calculated. This process is repeated until the termination condition, i.e., the number of generations, is reached, at which point the calculation ends, the design scheme with the highest fitness is selected as the optimal design scheme, and the optimization calculation ends.

[0044] In the iteration of the adaptive differential evolution algorithm based on the success history described above, it is necessary to calculate the fitness of each scheme, namely the annual cost and the solar energy guarantee rate. Both of these indicators are affected by changes in the control strategy; therefore, the optimal control strategy for this scheme needs to be determined when calculating the fitness. The system operation mode described above is a classification description of the system's operation control, without specifying concrete control parameters. Under the conditions of determined equipment selection parameters and design load, the specific control parameters are obtained by the Deep Deterministic Policy Gradient (DDPG) algorithm. This algorithm is an extension of the DQN algorithm, which solves the problem of the Actor-Critic neural network having correlations before and after each parameter update, causing the neural network to only view the problem in a partial way. It also solves the DQN algorithm's limitation of not being able to be used for continuous actions. Using the overall objective as the objective function of the DDPG algorithm, the system control strategy is solved to obtain the system objective function value under specific equipment selection parameters, completing the loop of system implementation scheme optimization. The optimal solution for equipment selection parameters under the design load condition is obtained through multiple iterations.

[0045] The DDPG algorithm comprises an online network and a target network. Each of the online and target networks includes an actor network and a critic network. The state variables are solar radiation intensity (irr), electromagnetic induction boiler output (w), and target load temperature. Target temperature of constant temperature water tank Then the state variable vector is:

[0046]

[0047] The running state is switched to an action variable:

[0048]

[0049] The reward function is used to evaluate the performance of the action shift at time t in state s. The reward function is defined as a comprehensive annual evaluation index composed of the annual system cost and the solar energy guarantee rate.

[0050]

[0051] Provides energy through solar power hourly throughout the year; This represents the system's total energy demand throughout the year, hourly. The system's hourly operating cost, These are weighting coefficients, determined based on design preferences.

[0052] The training set and DDPG proxy model required by the algorithm are obtained through the following steps:

[0053] Step A: Initialize the configured DDPG proxy model to obtain the initialized DDPG proxy model;

[0054] Step B: Interact with the initialized DDPG proxy model and the variable frequency electromagnetic induction boiler-assisted PV / T electro-photothermal integrated heating system model based on TRNSYS software to obtain the training dataset;

[0055] Step C: Train the DDPG proxy model based on the training dataset to obtain the trained DDPG proxy model.

[0056] Firstly, regarding the photovoltaic-thermal integrated utilization technology, a key component of heating systems, its main purpose is to address the efficiency decline and waste heat problems caused by traditional solar energy utilization technologies that rely solely on photovoltaics. This technology recovers the waste heat generated during solar cell power generation. Based on the principle that when crystalline silicon solar cells operate above their nominal temperature, their photoelectric conversion efficiency decreases by 0.3-0.5% for every 1°C increase in temperature, that is:

[0057]

[0058] in , , , These are the nominal power generation efficiency of the battery, the actual power generation efficiency of the battery, the actual operating temperature of the solar panel, and the nominal operating temperature of the solar panel. PV / T technology can not only recover waste heat from solar panels but also improve their photoelectric conversion efficiency. Photovoltaic-thermal integrated utilization technology combines photovoltaics and solar thermal energy, saving land area, improving the overall efficiency of solar energy utilization, and providing clean electricity to users on the same receiving surface while also producing medium- and low-temperature heat energy for heating and domestic hot water, making it highly suitable for different building energy load types.

[0059] In addition, regarding variable frequency electromagnetic induction heating technology, another key component of the heating system, its basic principle is that alternating current passing through the conductor to be heated generates a changing magnetic field. This changing magnetic field, passing through the conductor, produces a changing magnetic flux. This change in magnetic flux induces an electromotive force, and when the conductor forms a closed loop, induced eddy currents are generated, causing the conductor to heat up. Due to the skin effect in electromagnetic induction heating, the eddy current effect is strongest on the conductor surface. The penetration depth of the skin effect can be expressed as:

[0060]

[0061] In the formula, Represents the resistivity of a conductor. Relative permeability The frequency of the alternating current is such that as the frequency increases, the penetration depth decreases. Therefore, the heating can be adjusted by changing the frequency.

[0062] The heat generated by the Joule heating effect of eddies can be expressed as:

[0063]

[0064] In the formula, Indicates induced current; Indicates the load resistance value; Indicates time.

[0065] In industrial applications, using variable frequency electromagnetic induction furnaces to replace fossil fuel boilers for producing low-temperature steam can effectively solve the carbon emission problem. Furthermore, compared to traditional resistance electric heating and fuel boilers, variable frequency electromagnetic induction heating directly converts electromagnetic energy into heat energy. Variable frequency electromagnetic boilers have the following advantages: Ultra-clean and environmentally friendly: Because electric boilers use electricity as fuel, they are ultra-clean and environmentally friendly, causing no air pollution. They are currently the most environmentally friendly boiler products. High thermal efficiency: Compared to coal-fired, gas-fired, biomass, and oil-fired boilers, electric boilers have the highest thermal efficiency, reaching over 90%. This eliminates excessive fuel waste and reduces operating time and fuel consumption. Intelligent operation: Electric boilers are the most intelligent boiler products, featuring a highly intelligent computer control cabinet that allows for intelligent operation from initial boiler startup to a series of other processes. Quiet operation: Electric boilers operate relatively quietly, unlike other fuel-based boilers that produce a buzzing sound. This effectively reduces noise pollution. Easy installation: As electric boilers are electrified devices, they do not require chimneys or fuel storage. The products are assembled and can be operated immediately after installation, without occupying excessive space. Therefore, this technology is suitable for the renovation and construction of distributed heating systems. Since one-third of my country's heat consumption is used for medium- and low-temperature building heating and hot water supply, replacing this portion of the heat source with variable frequency electromagnetic induction heating plays an important role in promoting energy-efficient and high-performance heating across society and reducing carbon emissions.

[0066] This invention, focusing on photovoltaic-thermal integrated utilization technology—a key component of heating systems—aims to address the efficiency degradation and waste heat associated with traditional solar energy utilization technologies that rely solely on photovoltaics. When solar radiation strikes solar cells, only 5%-20% (depending on the specific solar cell) is converted into electricity in engineering applications, while nearly 60%-70% is converted into heat. Photovoltaic-thermal integrated utilization technology recovers waste heat generated during solar cell power generation, reducing solar cell temperature and improving efficiency, and enabling combined heat and power (CHP). CHP technology is listed by the International Energy Agency (IEA) and SolarPACES as a near- and medium-term development goal for solar energy utilization in the 21st century, possessing broad application prospects in the context of global energy conservation and emission reduction. Furthermore, by combining photovoltaics and solar thermal energy, this technology can partially replace traditional solar water heaters and solar panels while saving land, contributing to the high-quality development of distributed solar energy utilization.

[0067] Regarding the variable frequency electromagnetic induction heating technology, another key component of the heating system, the main purpose of this invention is to solve the problems of low electrification and high carbon emissions in current end-user heat consumption. Compared with other traditional terminal heating methods, variable frequency electromagnetic induction heating directly converts electromagnetic energy into heat energy, offering the following five advantages: 1. Ultra-clean and environmentally friendly: As electric boilers use electricity as fuel, they are ultra-clean and environmentally friendly, causing no air pollution. They are currently the most environmentally friendly boiler products. 2. High thermal efficiency: Compared to coal-fired, gas-fired, biomass, and oil-fired boilers, electric boilers have the highest thermal efficiency, reaching over 90%. This eliminates excessive fuel waste and reduces operating time and fuel consumption. 3. Intelligent operation: Electric boilers are the most intelligent boiler products, featuring a highly intelligent computer control cabinet that enables intelligent operation from initial boiler startup to a series of other processes. 4. Quiet operation: Electric boilers operate relatively quietly, unlike other fuel-based boilers that produce a buzzing sound. This effectively reduces noise pollution. 5. Easy installation: As electric boilers are electrified equipment, they do not require chimneys or fuel storage. The products are assembled and ready to operate after installation, without occupying excessive space. Therefore, this technology is suitable for the renovation and construction of distributed heating systems. Since one-third of my country's heat consumption is used for medium- and low-temperature building heating and hot water supply, replacing this portion of the heat source with variable frequency electromagnetic induction heating plays a crucial role in promoting energy-efficient heating across society and reducing carbon emissions.

[0068] This invention proposes a feasible solution for achieving low-carbon and efficient heating by organically combining the two key technologies mentioned above. The key combination lies in the introduction of buried pipe technology and water source heat pump technology. Due to the inherent instability of solar energy caused by seasonal and environmental factors, the mismatch between the energy provided and the energy demand is a major factor restricting its utilization. Therefore, this system incorporates a buried pipe system as a short-, medium-, and long-term energy storage facility. When there is a surplus of solar heating energy, the heat is transferred to the buried pipe system for storage. When users have a heat demand but the solar energy and water tank storage are insufficient, energy is extracted from the buried pipe system. This effectively addresses the short-, medium-, and long-term supply-demand mismatch, reduces solar energy waste, and effectively improves solar energy utilization. Since the heat source temperature provided by the buried pipe system is generally relatively low, a water source heat pump system is designed to utilize this medium- and low-temperature heat source for further efficient heating according to demand conditions. Unlike air-source heat pumps, which are limited by ambient temperature, water-source heat pumps, combined with underground pipe systems, utilize solar energy surplus heat storage to generate a heat source. This makes them widely applicable and allow operation within the high-efficiency range of water-source heat pumps, achieving high COP (Coefficient of Performance) utilization of medium- and low-temperature heat sources. Furthermore, after water undergoes clean and efficient preheating via photovoltaic thermal technology and the water-source heat pump, it is further heated to the required temperature using variable frequency electromagnetic induction heating. This reduces the temperature difference in heat transfer between the water and each stage of heating equipment, minimizing system losses and achieving efficient, cascaded energy utilization.

[0069] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the claimed invention. The scope of protection claimed by the appended claims and their equivalents is defined.

Claims

1. A method for configuring an integrated electro-photothermal heating system using a variable frequency electromagnetic induction boiler-assisted PVT, comprising an integrated electro-photothermal heating system using a variable frequency electromagnetic induction boiler-assisted PVT, the integrated electro-photothermal heating system comprising: A photovoltaic (PV) thermal module, a water storage tank, a hot water collection tank, a ground source heat pump, and a variable frequency electromagnetic induction boiler are included. The PV thermal module, mounted on the roof of a building, comprises solar panels and a heat collection component. The heat collection component is connected to both the water storage tank and the hot water collection tank. The hot water collection tank is connected to both the ground source heat pump and the variable frequency electromagnetic induction boiler. The module is characterized by including a configuration method for equipment selection and a configuration method for control strategy. The equipment selection configuration method employs an adaptive differential evolution algorithm based on success history nested with a deep deterministic strategy gradient algorithm for iterative calculation. At the start of the calculation, firstly, the design load is imported; secondly, the... An initial population is obtained using an adaptive differential evolution algorithm based on successful history, and a new population is obtained through selection, crossover, and mutation operators. Finally, the optimal hourly operating parameters of each device in the system are determined using the Deep Deterministic Strategy Gradient (DDPG) algorithm, thereby obtaining the annual comprehensive evaluation index under the optimal control strategy and ultimately the optimal system equipment selection for the design load. The control strategy part, based on the optimal hourly operating parameters of the aforementioned DDPG algorithm, issues instructions to each device in the system to achieve optimized control. The objective function in the equipment selection configuration method includes the annual system cost and the solar energy guarantee rate. Their expressions are as follows: In the formula: F is the annual system cost, the smaller the value, the better the system's economic performance; i is the discount rate; m is the system design life; C0 is the initial investment of the system; C i For system operating costs; The results were obtained through hourly calculations throughout the year using the transient system simulation software TRNSYS: In the formula: S is the solar energy guarantee rate; E solar，i Provides energy through solar power hourly throughout the year; E i This represents the system's total energy demand throughout the year, hourly. Among them, the solar energy supply is calculated hourly throughout the year using the transient system simulation software TRNSYS based on the hourly meteorological data of the equipment construction area over the years; the total energy demand of the system is obtained from the hourly load data of a typical year; the acquisition of the deep deterministic strategy gradient (DDPG) algorithm includes: Step A: Initialize the DDPG proxy model to obtain the initialized DDPG proxy model; Step B: Interact with the initialized DDPG proxy model and the variable frequency electromagnetic induction boiler-assisted PV / T electro-photothermal integrated heating system model based on TRNSYS software to obtain the training dataset; Step C: Train the DDPG proxy model based on the training dataset to obtain the trained DDPG proxy model.

2. A non-volatile storage medium, characterized in that, The non-volatile storage medium includes a stored program, wherein the program, when running, controls the device where the non-volatile storage medium is located to execute the method of claim 1.

3. An electronic device, characterized in that, It includes a processor and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein the computer-readable instructions, when executed, perform the method of claim 1.

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