Heat supply control method, equipment and product of solar air source heat pump coupling system

Abstract

The invention relates to the technical field of heat supply control, in particular to a heat supply control method, equipment and product of a solar air source heat pump coupling system. The method comprises the following steps: acquiring historical meteorological data, and constructing a simulation model comprising a solar air source heat pump coupling heat supply system and a heated building; performing simulation heat supply by using the simulation model and the historical meteorological data to obtain simulation heat supply data; dividing a heating season into a plurality of heating stages, and determining an operation strategy for each heating stage based on the historical meteorological data and the simulated heating data; and the operation strategies corresponding to the multiple heating stages are combined into a heating season operation strategy, and the heating system is controlled to execute the heating season operation strategy in the heating season. According to the method, the optimal system operation strategy can be generated, so that the energy consumption in the heat supply process of the system is reduced.

Description

Technical Field

[0001] The present application relates to the field of heating control technology, and in particular to a heating control method, device and product for a solar air source heat pump coupling system. Background Art

[0002] With the continuous growth of global energy demand and the increasing awareness of environmental protection, the development and utilization of renewable energy has become a hot issue of universal concern to the international community. As a clean, pollution-free and sustainable energy source, solar energy has a particularly broad application prospect in the field of heating. Solar heating technology converts solar energy into thermal energy to provide warmth for buildings, effectively reducing the consumption of traditional energy, and playing a positive role in promoting environmental protection and the optimization of energy structure.

[0003] The solar-air source heat pump coupled heating system is a heating solution that combines the advantages of two clean energy sources, solar energy and air source heat pump. The system collects solar energy through solar collectors and converts it into heat energy for heating; at the same time, when solar energy is insufficient, the air source heat pump, as an auxiliary heat source, can use the low-grade heat energy in the air for efficient heating, thereby ensuring the stability and reliability of heating. This dual-energy coupled heating method not only improves the efficiency of energy utilization, but also significantly enhances the flexibility and adaptability of the heating system.

[0004] However, despite the many technical advantages of the solar-air source heat pump coupled heating system, the design and optimization of its control system still face many challenges in actual operation. At present, the control parameters of the solar-air source heat pump heating system in related technologies are still fixed values ​​set based on human experience. When facing complex and changeable climatic conditions, this control method often exhibits problems such as single operation strategy and inaccurate control parameters, resulting in insufficient utilization of solar energy resources, causing the heat pump unit to operate in a low-efficiency area for a long time, and even causing unreasonable equipment start-up and shutdown, thereby increasing the energy consumption and operating costs of the system. Summary of the invention

[0005] In order to solve the problem of high energy consumption of a solar-air source heat pump coupling system in the prior art, the present application provides a heating control method, device and product of a solar-air source heat pump coupling system.

[0006] In the first aspect, the present application provides a heating control method for a solar air source heat pump coupling system, which adopts the following technical solution: A heating control method for a solar air source heat pump coupling system, comprising: Obtain historical meteorological data and build a simulation model that includes a solar air source heat pump coupled heating system and heated buildings; Using the simulation model and the historical meteorological data to perform simulated heating to obtain simulated heating data; Divide the heating season into a plurality of heating stages, and determine an operation strategy for each heating stage based on the historical meteorological data and the simulated heating data; The operation strategies corresponding to the multiple heating stages are combined into a heating season operation strategy, and the heating system is controlled to execute the heating season operation strategy during the heating season.

[0007] By adopting the above technical solution, the constructed simulation model includes the heating system and the heated buildings. The heating effect and energy consumption of the system under different meteorological conditions can be obtained through simulated heating. The heating season is divided into multiple heating stages. More targeted operation strategies can be formulated according to the meteorological conditions and heating needs of different stages. The operation strategies of multiple heating stages are combined to form a complete heating season operation strategy, which can realize the optimized operation of the system throughout the heating season. By formulating operation strategies through simulated heating, the optimal system operation strategy can be found, thereby reducing energy consumption in the system heating process.

[0008] In a preferred example, the present application may be further configured as follows: the use of the simulation model and the historical meteorological data to simulate heating to obtain simulated heating data includes: Determine a first meteorological condition group from the historical meteorological data, and perform solar heating simulation using the simulation model under each meteorological condition in the first meteorological condition group to obtain first heating data of the heated building under solar heating; Determine a second meteorological condition group from the first meteorological condition group in which the first heating data does not meet the preset heating demand; Under each meteorological condition in the second meteorological condition group, the simulation model is used to perform a solar energy and heat pump combined heating simulation to obtain second heating data of the heated building under the solar energy and heat pump combined heating; When the second heating data exceeds the preset heating demand, the heat pump is controlled to be turned off in the simulation environment, and the third heating data after the heat pump is turned off is recorded; The first heating data, the second heating data and the third heating data constitute the simulated heating data.

[0009] By adopting the above technical scheme, solar energy heating simulation is carried out under the first meteorological condition group, which can preliminarily evaluate the heating effect of the solar energy heating system. By comparing the first heating data with the preset heating demand, the meteorological conditions under which solar energy heating cannot meet the demand can be accurately identified to generate the second meteorological condition group. The second heating data represents the heating effect under the combined heating of solar energy and heat pump, and the third heating data after the heat pump is shut down is recorded. Simulation data under different meteorological conditions and operating strategies are obtained, which can provide comprehensive data support for the heating season operating strategy.

[0010] In a preferred example, the present application may be further configured as follows: determining an operation strategy for each heating stage based on the historical meteorological data and the simulated heating data includes: Determine the lowest meteorological condition from the second meteorological condition group as a switching condition, wherein the switching condition represents the meteorological condition for starting the heat pump; Determine a switching time for turning on the heat pump based on the second heating data and the third heating data in the simulated heating data, wherein the switching time includes a heat pump on time and a heat pump off time; An operation strategy is determined for each heating stage based on the historical meteorological data, the simulated heating data, the switching conditions and the switching time. The operation strategy includes a solar energy strategy, a heat pump constant temperature switching strategy and a heat pump timing switching strategy.

[0011] By adopting the above technical scheme, the lowest meteorological condition is determined from the second meteorological condition group as the switching condition, which provides a clear threshold for the start of the heat pump, ensuring that the heat pump can be started in time to supplement the heating when the solar energy heating is insufficient under the meteorological conditions. The switching time for starting the heat pump is determined based on the second heating data and the third heating data in the simulated heating data, including the heat pump on time and the heat pump off time, so as to achieve precise control of the heat pump running time, avoid unnecessary energy consumption, and improve the energy efficiency of the system. Combined with historical meteorological data, simulated heating data, switching conditions and switching time, a comprehensive operation strategy including solar energy strategy, heat pump constant temperature switching strategy and heat pump timing switching strategy is formulated for each heating stage, which not only ensures the stable operation of the system under various meteorological conditions, but also achieves dual optimization of heating effect and economy, and improves the performance of the overall heating system and user experience.

[0012] In a preferred example, the present application may be further configured as follows: determining an operation strategy for each heating stage based on the historical meteorological data, the simulated heating data, the switching condition and the switching time includes: Predicting meteorological data of a target heating stage based on the historical meteorological data, and determining a minimum meteorological condition of the meteorological data, comparing the minimum meteorological condition with the switching condition, the target heating stage being any one of the multiple heating stages; If the minimum meteorological condition meets the switching condition, the solar energy strategy is determined as the operation strategy of the target heating stage; If the minimum meteorological conditions do not meet the switching conditions, the energy consumption of the heat pump constant temperature switching strategy is estimated based on the meteorological data and the simulated heating data, and the energy consumption of the heat pump timing switching strategy is estimated based on the meteorological data and the switching time, and the one with lower energy consumption is determined from the heat pump constant temperature switching strategy and the heat pump timing switching strategy as the operating strategy for the target heating stage.

[0013] By adopting the above technical scheme, the meteorological data of the target heating stage is predicted based on the historical meteorological data, and the minimum meteorological conditions are determined and compared with the switching conditions. It is possible to accurately judge whether the heat pump needs to be started in the target heating stage, thereby preliminarily determining the direction of the operation strategy, that is, the solar energy strategy or the heat pump strategy. If the minimum meteorological conditions meet the switching conditions, the solar energy strategy is directly adopted to make full use of solar energy heating and reduce energy consumption. If the switching conditions are not met, the energy consumption of the heat pump constant temperature switching strategy and the heat pump timing switching strategy are further estimated based on the meteorological data and the simulated heating data. By comparing the energy consumption of the two strategies, the one with lower energy consumption is selected as the operation strategy for the target heating stage, which achieves the goal of minimizing energy consumption while ensuring the heating effect, thereby improving the energy efficiency and economy of the heating system.

[0014] In a preferred example, the present application may be further configured as follows: the energy consumption of the heat pump constant temperature switching strategy is estimated based on the meteorological data and the simulated heating data, including: Determine a first switching time of the heat pump of the heat pump constant temperature switching strategy in the target heating stage based on the meteorological data, the second heating data and the third heating data; Determining a first time period of solar heat pump combined heating within the target heating stage based on the first switching moment; The energy consumption of the heat pump constant temperature switching strategy is predicted based on the first time period.

[0015] By adopting the above technical scheme, a comprehensive analysis of meteorological data, the second heating data and the third heating data is conducted to accurately determine the first switching moment of the heat pump constant temperature switching strategy in the target heating stage, ensuring that the heat pump is started or shut down at the optimal time, thereby effectively adjusting the heating intensity. At the first switching moment, the first time period of solar heat pump combined heating is clarified. During the first time period, the heat pump and solar energy work together to achieve efficient use of energy. Based on the specific heating demand and conditions in the first time period, the energy consumption of the heat pump constant temperature switching strategy is predicted, which helps to select the most economical operating strategy.

[0016] In a preferred example, the present application may be further configured as follows: the energy consumption of the heat pump timing switching strategy is estimated based on the meteorological data and the switching time, including: Determining a second switching time of the heat pump of the heat pump timing switching strategy in the target heating stage based on the meteorological data and the switching time; Determining a second time period of solar heat pump combined heating within the target heating stage based on the second switching moment; The energy consumption of the heat pump timing switching strategy is predicted based on the second time period.

[0017] By adopting the above technical solution, comprehensive analysis of meteorological data and switching time, the second switching moment of the heat pump timing switching strategy in the target heating stage is accurately determined, ensuring that the heat pump is started or shut down at the predetermined time node, thereby achieving precise control of the heating process. Based on the second switching moment, the second period of solar heat pump combined heating is clarified. During this period, the coordinated work of the heat pump and solar energy is reasonably arranged, which not only ensures the heating effect, but also improves the energy utilization efficiency. The energy consumption of the heat pump timing switching strategy is predicted based on the second period, which helps to select the operation strategy with the lowest energy efficiency and thus reduce the heating cost.

[0018] In a preferred example, the present application can be further configured as follows: the construction of a simulation model including a solar air source heat pump coupled heating system and a heated building includes: Obtaining system structural parameters and system performance parameters of the solar air source heat pump coupled heating system, and building structural parameters and building performance parameters of the heated building; Constructing a model framework of the solar air source heat pump coupled heating system and the heated building based on the system structure parameters and the building structure parameters; Setting simulation model parameters based on the system performance parameters and the building performance parameters; The simulation model parameters are configured in the model framework to obtain a simulation model including a solar air source heat pump coupled heating system and a heated building.

[0019] By adopting the above technical scheme, a simulation model is constructed based on the system structure parameters and system performance parameters of the solar air source heat pump coupled heating system, as well as the building structure parameters and building performance parameters of the heated building, ensuring that the simulation model can comprehensively and accurately reflect the characteristics of the actual system and the needs of the heated building.

[0020] In a second aspect, the present application provides a computer program product, which adopts the following technical solution: A computer program product comprises a computer program. When the computer program is executed by a processor, the heating control method of the solar air source heat pump coupling system as described in any one of the first aspects is implemented.

[0021] In a third aspect, the present application provides an electronic device, which adopts the following technical solution: one or more processors; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the heating control method of the solar air source heat pump coupling system as described in any one of the first aspects.

[0022] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution: A computer-readable storage medium stores a computer program thereon, which, when executed in a computer, causes the computer to execute the heating control method for a solar air source heat pump coupling system as described in any one of the first aspects.

[0023] In summary, this application includes the following beneficial technical effects: The simulation model constructed in the present application includes a heating system and heated buildings. By simulating heating, the heating effect and energy consumption of the system under different meteorological conditions can be obtained. The heating season is divided into multiple heating stages, and more targeted operation strategies can be formulated according to the meteorological conditions and heating needs of different stages. The operation strategies of multiple heating stages are combined to form a complete heating season operation strategy, which can achieve optimized system operation throughout the heating season. By formulating operation strategies through simulated heating, the optimal system operation strategy can be found, thereby reducing energy consumption during the system heating process. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a schematic diagram of a model of a heating system and a heated building provided in an embodiment of the present application; Figure 2 It is a flow chart of a heating control method of a solar air source heat pump coupling system provided in an embodiment of the present application; Figure 3It is a structural schematic diagram of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The following is combined with Figure 1 -Attached Figure 2 This application is described in further detail.

[0026] This specific embodiment is merely an explanation of the present application and is not a limitation of the present application. After reading this specification, those skilled in the art may make modifications to the present embodiment without any creative contribution as needed, but such modifications are protected by the patent law as long as they are within the scope of the claims of the present application.

[0027] In order to make the purpose, technical solution and advantages of the embodiments of the present application clearer, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0028] In addition, the term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article, unless otherwise specified, generally means that the associated objects before and after are in an "or" relationship.

[0029] It should be noted that in the optional embodiments of the present application, the object information and other related data involved, when the embodiments in the present application are applied to specific products or technologies, need to obtain the permission or consent of the object, and the collection, use and processing of the relevant data need to comply with the relevant laws, regulations and standards of the relevant countries and regions. In other words, if the embodiments of the present application involve data related to the object, it needs to be obtained with the authorization and consent of the object, the authorization and consent of the relevant departments, and in compliance with the relevant laws, regulations and standards of the country and region. If personal information is involved in the embodiments, the acquisition of all personal information needs to obtain the consent of the individual. If sensitive information is involved, the separate consent of the information subject needs to be obtained. The embodiments also need to be implemented with the authorization and consent of the object.

[0030] See also Figure 1, which shows a schematic diagram of the model of the solar air source heat pump coupled heating system and the heated building. In practical applications, the heat pump unit is placed in a relatively open place; the water tank and the circulating water pump are placed in a special equipment room. The solar water tank and the terminal water tank are both homemade square water tanks with a 10cm insulation layer on the outer layer; the circulating water pump is integrated on the sides of the two water tanks; the solar collector is installed on the roof of the bungalow of the heated building, using a vacuum tube solar collector, a total of 5 groups. Considering that the lighting on the south side is better, the fan coil circulation pipeline is divided into two north-south loops, and multiple terminal fan coils are installed on the north and south pipelines.

[0031] The present application embodiment provides a heating control method for a solar air source heat pump coupling system, such as Figure 2 As shown, the method provided in the embodiment of the present application is executed by an electronic device, which can be a server or a terminal device, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device can be a smart phone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server can be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiment of the present application. The method includes steps S201 to S204, wherein: S201. Obtain historical meteorological data and construct a simulation model including a solar air source heat pump coupled heating system and a heated building.

[0032] Specifically, historical meteorological data can be obtained from the database of the meteorological department. The historical meteorological data is the meteorological data of the historical heating season, and the meteorological data includes solar radiation intensity and ambient temperature. The heated building is a building heated by the heating system. The structural parameters and performance parameters of the heating system and the heated building are obtained. The simulation model is constructed based on the obtained structural parameters and performance parameters using simulation software. The simulation model includes an integrated heating system model and a heated building model. The simulation software can be MATLAB or TRNSYS.

[0033] S202, using the simulation model and historical meteorological data to simulate heating to obtain simulated heating data.

[0034] Specifically, the historical meteorological data is sampled to obtain a first meteorological condition group, which includes sampled meteorological conditions that are not equal to each other, and each meteorological condition includes solar radiation intensity and ambient temperature. A simulation model is used to perform solar heating simulation under each meteorological condition in the first meteorological condition group to obtain first heating data, which includes heating conditions of the heated building under each meteorological condition, and the heating conditions are represented by indoor temperature changes of the heated building, and the indoor temperature can be represented by the average temperature of multiple locations indoors of the heated building.

[0035] Among them, the simulation duration is set during the simulation process, and the first heating data obtained is the simulation data corresponding to the simulation duration. The simulation duration represents the maximum expected time from the start of heating to the indoor temperature of the building reaching the standard in actual heating. Optionally, the simulation duration can be 2 hours, that is, the indoor temperature of the heated building reaches the standard within 2 hours of the actual heating expectation.

[0036] The indoor temperature reaches the standard, that is, the first heating data meets the preset heating demand. Specifically, the preset heating demand indicates the indoor temperature range of the building expected to be achieved in actual heating. Any meteorological condition in the meteorological condition group is used as the target meteorological condition, and it is determined whether the indoor temperature of the heated building corresponding to the latest moment in the first heating data corresponding to the target meteorological condition reaches the minimum value of the preset heating demand. If so, it is determined that the target meteorological condition meets the preset heating demand. If not, it is determined that the target meteorological condition does not meet the preset heating demand.

[0037] After obtaining the determination results corresponding to each meteorological condition in the first meteorological condition group, a second meteorological condition group in which the first heating data does not meet the preset heating demand is determined from the first meteorological condition group. A simulation model is used to perform a solar energy and heat pump combined heating simulation under each meteorological condition in the second meteorological condition group to obtain second heating data of the heated building under the solar energy and heat pump combined heating, and the second heating data includes the second heating data corresponding to each meteorological condition in the second meteorological condition group (i.e., the indoor temperature change of the heated building).

[0038] Furthermore, for the target meteorological condition, when the second heating data corresponding to the target meteorological condition exceeds the preset heating demand, the heat pump is controlled to be turned off in the simulation environment, and the third heating data of the target meteorological condition after the heat pump is turned off is recorded. Among them, the second heating data exceeding the preset heating demand indicates that the indoor temperature of the heated building exceeds the maximum value of the preset heating demand. When the indoor temperature of the heated building is lower than the minimum value of the preset heating demand, the simulation is stopped to obtain the third heating data. The first heating data, the second heating data and the third heating data constitute the simulated heating data.

[0039] S203, dividing the heating season into multiple heating stages, and determining an operation strategy for each heating stage based on historical meteorological data and simulated heating data.

[0040] Specifically, the heating stage can be divided equally according to the time of the heating season, or it can be divided manually according to historical meteorological data. This embodiment does not make specific limitations, and the meteorological changes in a heating stage obtained by division are not large. Any heating stage is taken as the target heating stage, and the operation strategy in the target heating stage is the operation strategy with the lowest energy consumption while ensuring that the indoor temperature of the heated building reaches the preset heating demand, wherein the optional operation strategies include: solar energy strategy, heat pump fixed temperature switching strategy and heat pump timing switching strategy.

[0041] Specifically, the solar energy strategy is used in the heating stage when the meteorological conditions have good heating effects, indicating that solar energy alone can meet the preset heating demand. The heat pump constant temperature switching strategy and the heat pump timing switching strategy are used in the heating stage when the meteorological conditions have poor heating effects, indicating that the combined heating of solar energy and heat pumps can meet the preset heating demand. The heat pump constant temperature switching strategy means that the heat pump is turned on when the indoor temperature of the heated building reaches a specific temperature, and the heat pump is turned off when it reaches another specific temperature. The heat pump timing switching strategy means that the heat pump is turned off after a specific time has passed, and the heat pump is turned on when the heat pump is turned off for another specific time. The specific temperature and specific time can be determined based on the simulated heating data.

[0042] Firstly, the meteorological data of the target heating stage is predicted based on the historical meteorological data. Based on the meteorological data and the first heated data in the simulated heating data, it is estimated whether solar energy heating alone can meet the preset heating demand. If so, the solar energy strategy is determined as the operating strategy for the target heating stage. If not, the energy consumption of the heat pump constant temperature switching strategy and the heat pump timing switching strategy are estimated respectively, and the one with lower energy consumption is determined as the operating strategy for the target heating stage from the heat pump constant temperature switching strategy and the heat pump timing switching strategy.

[0043] S204: combining the operation strategies corresponding to the multiple heating stages into a heating season operation strategy, and controlling the heating system to execute the heating season operation strategy during the heating season.

[0044] The simulation model constructed in this embodiment includes a heating system and a heated building. By simulating heating, the heating effect and energy consumption of the system under different meteorological conditions can be obtained. The heating season is divided into multiple heating stages, and more targeted operation strategies can be formulated according to the meteorological conditions and heating needs of different stages. The operation strategies of multiple heating stages are combined to form a complete heating season operation strategy, which can achieve optimized system operation throughout the heating season. By formulating operation strategies through simulated heating, the optimal system operation strategy can be found, thereby reducing energy consumption during the system heating process.

[0045] A possible implementation of the embodiment of the present application is to construct a simulation model including a solar air source heat pump coupled heating system and a heated building, including: Obtain the system structure parameters and system performance parameters of the solar air source heat pump coupled heating system, as well as the building structure parameters and building performance parameters of the heated building; The model framework of the solar air source heat pump coupled heating system and the heated building is constructed based on the system structure parameters and building structure parameters; Setting simulation model parameters based on system performance parameters and building performance parameters; The simulation model parameters are configured in the model framework to obtain a simulation model including a solar air source heat pump coupled heating system and a heated building.

[0046] In this embodiment, the system structure parameters are system detailed design materials, including heat pump model, solar collector type, etc., and the system performance parameters include heating efficiency, performance coefficient, etc. The building structure parameters are building design drawings and materials, including building dimensions, wall materials, window types, etc., and the building performance parameters include insulation performance, heat load, cooling load, etc.

[0047] Based on the system structure parameters, the model framework of the heating system is constructed in the simulation software, including system components such as solar collectors, heat pump units, and heat storage devices. The connection relationship between each component is configured according to the actual heating system. Based on the building structure parameters, the model framework of the heated building is constructed in the simulation software, including the building's external dimensions, wall materials, and window types. Based on the actual connection relationship, the model frameworks of the heating system and the heated building are coupled and the simulation model parameters are configured to obtain the completed simulation model.

[0048] This embodiment constructs a simulation model based on the system structure parameters and system performance parameters of the solar air source heat pump coupled heating system, as well as the building structure parameters and building performance parameters of the heated building, ensuring that the simulation model can fully and accurately reflect the characteristics of the actual system and the needs of the heated building.

[0049] A possible implementation of the embodiment of the present application uses a simulation model and historical meteorological data to simulate heating to obtain simulated heating data, including: Determine a first meteorological condition group from historical meteorological data, and perform solar heating simulation using a simulation model under each meteorological condition in the first meteorological condition group to obtain first heating data of the heated building under solar heating; Determine a second meteorological condition group from the first meteorological condition group in which the first heating data does not meet the preset heating demand; Under each meteorological condition in the second meteorological condition group, a simulation of solar energy and heat pump combined heating is performed using a simulation model to obtain second heating data of the heated building under the solar energy and heat pump combined heating; When the second heating data exceeds the preset heating demand, the heat pump is controlled to be turned off in the simulation environment, and the third heating data after the heat pump is turned off is recorded; Among them, the first heating data, the second heating data and the third heating data constitute the simulated heating data.

[0050] In this embodiment, the first meteorological condition group includes different meteorological conditions to comprehensively evaluate the performance of solar energy heating. The first heating data includes the indoor temperature of the heated building simulated under various meteorological conditions. The first heating data is compared with the preset heating demand. The second meteorological condition group that does not meet the preset heating demand represents meteorological conditions with weak solar radiation or low ambient temperature. Under the first meteorological conditions, solar energy heating alone cannot meet the preset heating demand.

[0051] In the second heating data, when the heating effect under a certain meteorological condition exceeds the preset heating demand, that is, the second heating data corresponding to the meteorological condition exceeds the maximum value of the preset heating demand, the heat pump is turned off in the simulation environment, and the third heating data after the heat pump is turned off is recorded. The meteorological conditions corresponding to the third heating data are still the second meteorological condition group. Therefore, the third heating data obtained relies only on solar energy heating, and the indoor temperature of the heated building will show a downward trend. When the third heating data drops to the preset minimum heating demand, the simulation is stopped.

[0052] This embodiment performs solar heating simulation under the first meteorological condition group, can preliminarily evaluate the heating effect of the solar heating system, compare the first heating data with the preset heating demand, can accurately identify the meteorological conditions under which solar heating cannot meet the demand to generate a second meteorological condition group, the second heating data represents the heating effect under the combined heating of solar energy and heat pump, and records the third heating data after the heat pump is shut down, and obtains simulation data under different meteorological conditions and operating strategies, which can provide comprehensive data support for the heating season operating strategy.

[0053] A possible implementation of the embodiment of the present application is to determine an operation strategy for each heating stage based on historical meteorological data and simulated heating data, including: Determine the lowest meteorological condition from the second meteorological condition group as a switching condition, the switching condition representing the meteorological condition for starting the heat pump; Determine the switching time of turning on the heat pump based on the second heating data and the third heating data in the simulated heating data, where the switching time includes the turning-on time of the heat pump and the turning-off time of the heat pump; Based on historical meteorological data, simulated heating data, switching conditions and switching time, the operation strategy is determined for each heating stage. The operation strategies include solar energy strategy, heat pump constant temperature switching strategy and heat pump timing switching strategy.

[0054] In this embodiment, finding the lowest meteorological condition from the second meteorological condition group as the switching condition includes: arranging the meteorological conditions in the second meteorological condition group from small to large according to the solar radiation intensity to obtain a first list, and arranging the meteorological conditions in the second meteorological condition group from small to large according to the ambient temperature to obtain a second list. For any meteorological condition, determine its position in the first list and the second list (i.e., the position in which it ranks), and calculate the average position of the meteorological condition in the first list and the second list as the final position. The meteorological condition with the smallest final position in the second meteorological condition group is used as the switching condition with the lowest meteorological condition.

[0055] For the switching conditions, when the solar radiation intensity and ambient temperature in the current meteorological conditions are not lower than the corresponding values ​​in the switching conditions, it means that the solar energy strategy can meet the preset heating demand. When the solar radiation intensity or ambient temperature in the current meteorological conditions is lower than the corresponding values ​​in the switching conditions, it means that the solar energy strategy does not meet the preset heating demand, and the heat pump constant temperature switching strategy and the heat pump timing switching strategy are selected.

[0056] For the heat pump constant temperature switching strategy, the heat pump is turned on when the solar energy strategy does not meet the preset heating demand. After the heat pump is turned on, the indoor temperature of the heated building rises. When it rises to the maximum value of the preset heating demand, it is determined that the switching temperature has been reached. At this time, the heat pump is turned off, and the indoor temperature of the heated building decreases. When it decreases to the minimum value of the preset heating demand, the heat pump is turned on again, thereby completing the dynamic heat pump constant temperature switching. The second heating data includes the changes in indoor temperature under different meteorological conditions. The time it takes for the indoor temperature to reach the preset heating demand is different under different meteorological conditions, that is, the heat pump is turned on for different durations. The third heating data includes the changes in indoor temperature under different meteorological conditions after the heat pump is turned off. The indoor temperature decrease trend is different under different meteorological conditions, that is, the heat pump is turned off for different durations.

[0057] For the heat pump timing switching strategy, the heat pump is turned on when the solar energy strategy does not meet the preset heating demand. For the target meteorological conditions, the second heating data of the target meteorological conditions represents the indoor temperature change of the heated building after the heat pump is turned on under the target meteorological conditions. From the second heating data, the time when the indoor temperature reaches the maximum value of the preset heating demand can be determined. The time between the start time of the second heating data, that is, the heat pump turning on time and the time when the indoor temperature reaches the maximum value of the preset heating demand is taken as the heat pump turning on time. The third heating data of the target meteorological conditions represents the indoor temperature change after the indoor temperature reaches the maximum value of the preset heating demand under the target meteorological conditions and the heat pump is turned off. The end time of the third heating data is the time when the indoor temperature drops to the minimum value of the preset heating demand. The time corresponding to the third heating data is taken as the heat pump turning off time. Based on this, the heat pump turning on time and the heat pump turning off time corresponding to the target meteorological conditions are obtained. Each meteorological condition in the second meteorological condition group corresponds to a group of heat pump turning on time and heat pump turning off time. By timing the heat pump to be turned on and off, the indoor temperature of the heated building can be kept within the preset heating demand.

[0058] This embodiment determines the lowest meteorological condition from the second meteorological condition group as the switching condition, provides a clear threshold for the start of the heat pump, and ensures that the heat pump can be started in time to supplement the heating when the solar energy heating is insufficient under the meteorological conditions. The switching time for starting the heat pump is determined based on the second heating data and the third heating data in the simulated heating data, including the heat pump on time and the heat pump off time, so as to achieve precise control of the heat pump running time, avoid unnecessary energy consumption, and improve the energy efficiency of the system. Combined with historical meteorological data, simulated heating data, switching conditions and switching time, a comprehensive operation strategy including solar energy strategy, heat pump constant temperature switching strategy and heat pump timing switching strategy is formulated for each heating stage, which not only ensures the stable operation of the system under various meteorological conditions, but also achieves dual optimization of heating effect and economy, and improves the performance of the overall heating system and user experience.

[0059] A possible implementation of the embodiment of the present application is to determine an operation strategy for each heating stage based on historical meteorological data, simulated heating data, switching conditions and switching time, including: Predicting meteorological data of a target heating stage based on historical meteorological data, determining a minimum meteorological condition of the meteorological data, comparing the minimum meteorological condition with a switching condition, and the target heating stage being any one of a plurality of heating stages; If the minimum meteorological conditions meet the switching conditions, the solar energy strategy is determined as the operating strategy for the target heating stage; If the minimum meteorological conditions do not meet the switching conditions, the energy consumption of the heat pump constant temperature switching strategy is estimated based on the meteorological data and simulated heating data, and the energy consumption of the heat pump timing switching strategy is estimated based on the meteorological data and the switching time. The one with lower energy consumption is determined from the heat pump constant temperature switching strategy and the heat pump timing switching strategy as the operating strategy for the target heating stage.

[0060] In this embodiment, the minimum meteorological condition of the meteorological data of the target heating stage is calculated, and the minimum solar radiation intensity and the minimum ambient temperature in the meteorological data of the target heating stage are selected, and the minimum solar radiation intensity and the minimum ambient temperature are combined as the minimum meteorological condition. The switching condition includes a set of solar radiation intensity and ambient temperature data, and the corresponding data in the minimum meteorological condition and the switching condition are compared. If both data in the minimum meteorological condition are not lower than the corresponding values ​​in the switching condition, it is determined that the minimum meteorological condition meets the switching condition. If any data in the minimum meteorological condition is lower than the corresponding value in the switching condition, the minimum meteorological condition does not meet the switching condition.

[0061] This embodiment predicts the meteorological data of the target heating stage based on historical meteorological data, and determines the minimum meteorological conditions and compares them with the switching conditions. It can accurately judge whether the heat pump needs to be started in the target heating stage, so as to preliminarily determine the direction of the operation strategy, that is, the solar energy strategy or the heat pump strategy. If the minimum meteorological conditions meet the switching conditions, the solar energy strategy is directly adopted to make full use of solar energy heating and reduce energy consumption. If the switching conditions are not met, the energy consumption of the heat pump constant temperature switching strategy and the heat pump timing switching strategy are further estimated based on the meteorological data and the simulated heating data. By comparing the energy consumption of the two strategies, the one with lower energy consumption is selected as the operation strategy for the target heating stage, thereby achieving the goal of minimizing energy consumption while ensuring the heating effect, thereby improving the energy efficiency and economy of the heating system.

[0062] A possible implementation of the embodiment of the present application is to estimate the energy consumption of the heat pump constant temperature switching strategy based on meteorological data and simulated heating data, including: Determine the first switching time of the heat pump of the heat pump constant temperature switching strategy in the target heating stage based on the meteorological data, the second heating data and the third heating data; Determining a first time period of solar heat pump combined heating within a target heating phase based on the first switching moment; The energy consumption of the heat pump constant temperature switching strategy is obtained based on the prediction of the first period.

[0063] In this embodiment, the meteorological data is the predicted meteorological conditions at each moment of the target heating stage. None of the meteorological conditions in the meteorological data reaches the switching condition. The start moment of the target heating stage is taken as the first moment. The meteorological conditions at the first moment are determined from the meteorological data as the first meteorological conditions. The second heating data includes the change in indoor temperature corresponding to each meteorological condition in the second meteorological condition group. A meteorological condition equal to the first meteorological condition is determined from the second meteorological condition group. If it does not exist, the second heating data corresponding to the first meteorological condition is determined by an interpolation algorithm. The second heating data indicates that the indoor temperature reaches the maximum value of the preset heating temperature when the heat pump works for a certain period of time under the first meteorological condition. The duration of the second heating data corresponding to the first meteorological condition is taken as the first heat pump start-up duration.

[0064] The end moment of the first heat pump start time is taken as the second moment, and the second moment is the heat pump shutdown moment. The meteorological conditions at the second moment are determined from the meteorological data as the second meteorological conditions. The third heating data includes the change of indoor temperature after the heat pump is shut down corresponding to each meteorological condition in the second meteorological condition group. The meteorological condition equal to the second meteorological condition is determined from the second meteorological condition group. If it does not exist, the third heating data corresponding to the second meteorological condition is determined by an interpolation algorithm. The third heating data represents the change of indoor temperature during the period when the indoor temperature drops to the minimum value of the preset heating temperature when the heat pump is shut down for a certain period of time under the second meteorological condition. The duration of the third heating data is taken as the first heat pump shutdown duration.

[0065] Further, referring to the above steps, the end time of the first heat pump off time is taken as the third time, the third time is the heat pump on time, the meteorological conditions at the third time are determined from the meteorological data as the third meteorological conditions, the second heating data includes the change of the indoor temperature corresponding to each meteorological condition in the second meteorological condition group, the meteorological condition equal to the third meteorological condition is determined from the second meteorological condition group, if it does not exist, the second heating data corresponding to the third meteorological condition is determined by an interpolation algorithm, the second heating data indicates that the indoor temperature reaches the maximum value of the preset heating temperature when the heat pump works for a certain time under the third meteorological condition, and the duration of the second heating data corresponding to the third meteorological condition is taken as the second heat pump on time.

[0066] The end time of the second heat pump start time is taken as the fourth time, and the fourth time is the heat pump shutdown time. The meteorological conditions at the fourth time are determined from the meteorological data as the fourth meteorological conditions. The third heating data includes the change of indoor temperature after the heat pump is shut down corresponding to each meteorological condition in the second meteorological condition group. The meteorological condition equal to the fourth meteorological condition is determined from the second meteorological condition group. If it does not exist, the third heating data corresponding to the fourth meteorological condition is determined by an interpolation algorithm. The third heating data represents the change of indoor temperature during the period when the indoor temperature drops to the minimum value of the preset heating temperature when the heat pump is shut down for a certain period of time under the four meteorological conditions. The duration of the third heating data is taken as the second heat pump shutdown duration.

[0067] By analogy, the heat pump on-time and the heat pump off-time are continuously determined until the time reaches the target heating stage. The heat pump on-time and the heat pump off-time are combined as the first switching time of the heat pump in the heat pump constant temperature switching strategy in the target heating stage. The heat pump is turned on and off alternately to keep the indoor temperature in the target heating stage within the preset heating demand.

[0068] The sum of the start-up times of the heat pumps in the target heating stage is calculated based on the first switching moment as the first time period, and the product of the first time period and the rated power of the heat pump is used as the energy consumption of the heat pump constant temperature switching strategy in the target heating stage.

[0069] This embodiment accurately determines the first switching moment of the heat pump constant temperature switching strategy in the target heating stage through comprehensive analysis of meteorological data, the second heating data and the third heating data, ensuring that the heat pump is started or shut down at the optimal time, thereby effectively adjusting the heating intensity. At the first switching moment, the first time period of solar heat pump combined heating is determined. During the first time period, the heat pump and solar energy work together to achieve efficient use of energy. Based on the specific heating demand and conditions in the first time period, the energy consumption of the heat pump constant temperature switching strategy is predicted, which helps to select the most economical operating strategy.

[0070] A possible implementation of the embodiment of the present application is to estimate the energy consumption of the heat pump timing switching strategy based on meteorological data and switching time, including: Determine the second switching time of the heat pump of the heat pump timing switching strategy in the target heating stage based on the meteorological data and the switching time; Determining a second time period of solar heat pump combined heating within the target heating stage based on the second switching moment; The energy consumption of the heat pump timing switching strategy is obtained based on the prediction of the second period.

[0071] In this embodiment, the switching time includes the heat pump on time and heat pump off time corresponding to each meteorological condition in the second meteorological condition group. The start time of the target heating stage is taken as the fifth time, the meteorological condition at the fifth time is determined from the meteorological data as the fifth meteorological condition, and the meteorological condition equal to the fifth meteorological condition is determined from the second meteorological condition group. If it does not exist, the heat pump on time and heat pump off time corresponding to the fifth meteorological condition in the switching time are determined by an interpolation algorithm, and the fifth time is taken as the heat pump on time, and the time after the heat pump on time corresponding to the fifth meteorological condition in the switching time is taken as the heat pump off time, and the time after the heat pump off time corresponding to the fifth meteorological condition in the switching time is taken as the sixth time.

[0072] Determine the meteorological conditions at the sixth moment from the meteorological data as the sixth meteorological condition, determine the meteorological conditions equal to the sixth meteorological conditions from the second meteorological condition group, if they do not exist, determine the heat pump on-time and heat pump off-time corresponding to the sixth meteorological condition in the switching time through an interpolation algorithm, take the sixth moment as the heat pump on-time, take the moment after the heat pump on-time corresponding to the sixth meteorological condition in the switching time as the heat pump off-time, and take the moment after the heat pump off-time corresponding to the sixth meteorological condition in the switching time as the seventh moment.

[0073] By analogy, the heat pump on-time and the heat pump off-time are continuously determined until the time reaches the target heating stage. The heat pump on-time and the heat pump off-time are combined as the second switching time of the heat pump in the heat pump timing switching strategy in the target heating stage. The heat pump is turned on and off alternately to keep the indoor temperature in the target heating stage within the preset heating demand.

[0074] The sum of the start-up times of the heat pumps in the target heating stage is calculated based on the second switching time as the second period, and the product of the second period and the rated power of the heat pump is used as the energy consumption of the heat pump timing switching strategy in the target heating stage.

[0075] This embodiment comprehensively analyzes meteorological data and switching time, accurately determines the second switching moment of the heat pump timing switching strategy in the target heating stage, ensures that the heat pump is started or shut down at a predetermined time node, and thus realizes precise control of the heating process. Based on the second switching moment, the second time period of solar heat pump combination heating is clarified. During this time period, the coordinated work of the heat pump and solar energy is reasonably arranged, which not only ensures the heating effect, but also improves the energy utilization efficiency. The energy consumption of the heat pump timing switching strategy is predicted based on the second time period, which helps to select the operation strategy with the lowest energy efficiency and thus reduce the heating cost.

[0076] An embodiment of the present application provides a computer program product, including a computer program. When the computer program is executed by a processor, the contents shown in the embodiment of the heating control method of the aforementioned solar air source heat pump coupling system are implemented.

[0077] An electronic device is provided in an embodiment of the present application, such as Figure 3 As shown, Figure 3 The electronic device 300 shown includes: a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, such as through a bus 302. Optionally, the electronic device 300 may also include a transceiver 304. It should be noted that in actual applications, the transceiver 304 is not limited to one, and the structure of the electronic device 300 does not constitute a limitation on the embodiments of the present application.

[0078] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array) or other programmable logic devices, transistor logic devices, hardware components or any combination thereof. It may implement or execute various exemplary logic blocks, modules and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, etc.

[0079] The bus 302 may include a path to transmit information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but it does not mean that there is only one bus or only one type of bus.

[0080] The memory 303 may be a ROM (Read Only Memory) or other types of static storage devices that can store static information and instructions, a RAM (Random Access Memory) or other types of dynamic storage devices that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compressed optical disk, laser disk, optical disk, digital versatile disk, Blu-ray disk, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store the desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0081] The memory 303 is used to store the application code for executing the solution of the present application, and is controlled to execute by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the contents shown in the embodiment of the heating control method of the solar air source heat pump coupling system.

[0082] Figure 3 The electronic device shown is merely an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0083] An embodiment of the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer-readable storage medium is run on a computer, the computer can execute the contents shown in the embodiment of the heating control method of the aforementioned solar air source heat pump coupling system.

[0084] It should be understood that, although the steps in the flowchart of the accompanying drawings are displayed in sequence as indicated by the arrows, these steps are not necessarily executed in sequence in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least a part of the steps in the flowchart of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a part of the sub-steps or stages of other steps.

[0085] The above are only some implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A heating control method for a solar air source heat pump coupling system, characterized in that: include: Obtain historical meteorological data and build a simulation model that includes a solar air source heat pump coupled heating system and heated buildings; Using the simulation model and the historical meteorological data to perform simulated heating to obtain simulated heating data; Divide the heating season into a plurality of heating stages, and determine an operation strategy for each heating stage based on the historical meteorological data and the simulated heating data; The operation strategies corresponding to the multiple heating stages are combined into a heating season operation strategy, and the heating system is controlled to execute the heating season operation strategy during the heating season.

2. The heating control method of the solar air source heat pump coupling system according to claim 1, characterized in that: The method of using the simulation model and the historical meteorological data to simulate heating to obtain simulated heating data includes: Determine a first meteorological condition group from the historical meteorological data, and perform solar heating simulation using the simulation model under each meteorological condition in the first meteorological condition group to obtain first heating data of the heated building under solar heating; Determine a second meteorological condition group from the first meteorological condition group in which the first heating data does not meet the preset heating demand; Under each meteorological condition in the second meteorological condition group, the simulation model is used to perform a solar energy and heat pump combined heating simulation to obtain second heating data of the heated building under the solar energy and heat pump combined heating; When the second heating data exceeds the preset heating demand, the heat pump is controlled to be turned off in the simulation environment, and the third heating data after the heat pump is turned off is recorded; The first heating data, the second heating data and the third heating data constitute the simulated heating data.

3. The heating control method of the solar air source heat pump coupling system according to claim 2, characterized in that: The determining of an operation strategy for each heating stage based on the historical meteorological data and the simulated heating data includes: Determine the lowest meteorological condition from the second meteorological condition group as a switching condition, wherein the switching condition represents the meteorological condition for starting the heat pump; Determine a switching time for turning on the heat pump based on the second heating data and the third heating data in the simulated heating data, wherein the switching time includes a heat pump on time and a heat pump off time; An operation strategy is determined for each heating stage based on the historical meteorological data, the simulated heating data, the switching conditions and the switching time. The operation strategy includes a solar energy strategy, a heat pump constant temperature switching strategy and a heat pump timing switching strategy.

4. The heating control method of the solar air source heat pump coupling system according to claim 3, characterized in that: The determining of the operation strategy for each heating stage based on the historical meteorological data, the simulated heating data, the switching condition and the switching time includes: Predicting meteorological data of a target heating stage based on the historical meteorological data, and determining a minimum meteorological condition of the meteorological data, comparing the minimum meteorological condition with the switching condition, the target heating stage being any one of the multiple heating stages; If the minimum meteorological condition meets the switching condition, the solar energy strategy is determined as the operation strategy of the target heating stage; If the minimum meteorological conditions do not meet the switching conditions, the energy consumption of the heat pump constant temperature switching strategy is estimated based on the meteorological data and the simulated heating data, and the energy consumption of the heat pump timing switching strategy is estimated based on the meteorological data and the switching time, and the one with lower energy consumption is determined from the heat pump constant temperature switching strategy and the heat pump timing switching strategy as the operating strategy for the target heating stage.

5. The heating control method of the solar air source heat pump coupling system according to claim 4, characterized in that: The estimating the energy consumption of the heat pump constant temperature switching strategy based on the meteorological data and the simulated heating data includes: Determine a first switching time of the heat pump of the heat pump constant temperature switching strategy in the target heating stage based on the meteorological data, the second heating data and the third heating data; Determining a first time period of solar heat pump combined heating within the target heating stage based on the first switching moment; The energy consumption of the heat pump constant temperature switching strategy is predicted based on the first time period.

6. The heating control method of the solar air source heat pump coupling system according to claim 4, characterized in that: The estimating the energy consumption of the heat pump timing switching strategy based on the meteorological data and the switching time includes: Determining a second switching time of the heat pump of the heat pump timing switching strategy in the target heating stage based on the meteorological data and the switching time; Determining a second time period of solar heat pump combined heating within the target heating stage based on the second switching moment; The energy consumption of the heat pump timing switching strategy is predicted based on the second time period.

7. The heating control method of the solar air source heat pump coupling system according to claim 1, characterized in that: The construction includes a simulation model of a solar air source heat pump coupled heating system and a heated building, including: Obtaining system structural parameters and system performance parameters of the solar air source heat pump coupled heating system, and building structural parameters and building performance parameters of the heated building; Constructing a model framework of the solar air source heat pump coupled heating system and the heated building based on the system structure parameters and the building structure parameters; Setting simulation model parameters based on the system performance parameters and the building performance parameters; The simulation model parameters are configured in the model framework to obtain a simulation model including a solar air source heat pump coupled heating system and a heated building.

8. An electronic device, characterized in that: include: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the heating control method of the solar air source heat pump coupling system according to any one of claims 1-7.

9. A computer program product, characterized in that The invention comprises a computer program, which, when executed by a processor, implements the steps of the heating control method of the solar air source heat pump coupling system according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the heating control method of the solar air source heat pump coupling system according to any one of claims 1 to 7.

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