Heat storage and release balance method of solar ground source heat pump system based on adaptive learning

Abstract

The present invention relates to the field of integration of renewable energy and intelligent control systems, and in particular to a method for heat storage and release balance of a solar ground source heat pump system based on adaptive learning. The method comprises the following steps: S1: defining energy types, first thermal energy: DC power after photovoltaic conversion supplied to the ground source heat pump system; second thermal energy: electricity after photoelectric conversion stored in an energy storage device; third thermal energy: solar thermal energy stored in a sensible heat or latent heat accumulator; fourth thermal energy: solar thermal energy stored through an underground aquifer. The present invention defines four types of thermal energy and conversion nodes, evaluates the energy cycle, realizes refined energy allocation, and ensures uninterrupted energy supply in severe weather; verifies and adjusts the heat storage and release balance of the ground source heat pump, constructs an adaptive learning model, introduces the fourth thermal energy compensation, enhances system flexibility and adaptability, significantly improves the level of intelligence and response speed, and realizes efficient and reliable energy management.

Description

Technical Field

[0001] The invention relates to the field of integration of renewable energy and intelligent control systems, and in particular to a heat storage and release balance method for a solar ground source heat pump system based on adaptive learning. Background Art

[0002] As the global demand for sustainable energy grows, the solar ground source heat pump (SGHP) system has gradually become the preferred solution for building heating, cooling and hot water supply due to its high efficiency and environmental protection. The system combines solar photovoltaic panels and ground source heat pump technology to achieve energy conversion and storage, reduce dependence on fossil fuels and reduce carbon emissions.

[0003] Although the SGHP system performs well in energy saving and environmental protection, it presents significant challenges under extreme rainfall weather conditions:

[0004] 1. Groundwater temperature imbalance: Especially in extreme rainfall conditions, groundwater temperature is prone to imbalance, which seriously affects the stable operation of the system.

[0005] 2. Sensor monitoring lag: Existing ground-source heat pump sensors have monitoring lag problems during extreme rainfall, which makes it difficult to detect and correct groundwater temperature imbalances in a timely manner, affecting system performance and energy efficiency.

[0006] 3. Limited level of intelligence: The current system lacks adaptive learning capabilities, making it difficult to automatically adjust operating parameters based on real-time data and optimize energy management.

[0007] 4. Slow response: Faced with rapidly changing energy demands, existing systems are slow to react and cannot adjust quickly to maintain optimal working conditions.

[0008] These problems limit the application potential of SGHP systems in complex environments. There is an urgent need for a smarter, more sensitive and efficient solution to meet these challenges and ensure that the system can maintain optimal performance and energy efficiency under any conditions, especially to solve the problem of groundwater temperature imbalance caused by extreme rainfall, and ensure the long-term stable operation of the system and efficient energy utilization. Summary of the invention

[0009] In order to overcome the shortcoming of low adaptability of a solar ground source heat pump system, the present invention provides a heat storage and release balance method for a solar ground source heat pump system based on adaptive learning.

[0010] The technical solution of the present invention is: a heat storage and release balance method for a solar ground source heat pump system based on adaptive learning, comprising the following steps:

[0011] S1: Define energy types, first thermal energy: DC power after photovoltaic conversion supplied to the ground source heat pump system; second thermal energy: electricity after photovoltaic conversion stored in the energy storage device; third thermal energy: solar thermal energy stored in sensible heat or latent heat storage; fourth thermal energy: solar thermal energy stored through underground aquifers; at the same time, collect solar energy and energy conversion nodes of ground source heat pumps;

[0012] S2: Evaluate the energy cycle of the solar energy and ground source heat pump system under extreme rainfall conditions; determine the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy based on changes in the energy cycle;

[0013] S3: based on the unbalanced state of heat storage and release of solar energy, verify the heat storage and release balance state of the ground source heat pump and obtain a verification result; based on the verification result, further verify the heat storage and release balance state of solar energy;

[0014] S4: Collect the energy conversion nodes, energy cycle periods, and heat storage and release balance verification results of solar energy and ground source heat pumps; build an adaptive learning model, and determine the heat storage and release balance method of the solar ground source heat pump system through the adaptive learning model.

[0015] Preferably, the energy conversion node for collecting solar energy and ground source heat pump comprises:

[0016] Obtaining a heating mode and a cooling mode cycle of the ground source heat pump system to form N heating mode and cooling mode cycles, and collecting data of the first heat energy, the second heat energy, the third heat energy, and the fourth heat energy in the N heating mode and cooling mode cycles of the ground source heat pump system respectively;

[0017] According to the collected data, a linear curve and a nonlinear curve are drawn between the heating mode cycle and the cooling mode cycle and the first thermal energy, the second thermal energy, the third thermal energy and the fourth thermal energy;

[0018] The drawn linear curve and nonlinear curve are analyzed to find the intersection of the linear curve and the nonlinear curve in the heating mode cycle and the cooling mode cycle; the intersection is determined as the energy conversion node between the solar energy and the ground source heat pump system and defined as the first energy conversion node.

[0019] Preferably, the step of evaluating the energy cycle of the solar energy and ground source heat pump system under extreme rainfall conditions comprises:

[0020] The first energy conversion node for collecting solar energy and ground source heat pumps under extreme rainfall weather conditions;

[0021] Determine the difference between the energy conversion node under normal conditions and the energy conversion node under extreme rainfall weather;

[0022] According to the difference between the two, the energy cycle of the solar energy and ground source heat pump system under extreme rainfall weather is determined;

[0023] The difference refers to the difference between energy conversion nodes under two different conditions, which is used to quantify the impact of extreme weather on the energy conversion process; the energy cycle period refers to the complete cycle time from energy input to output, which is determined by analyzing the difference in energy conversion nodes under different conditions.

[0024] Preferably, determining the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy and the fourth thermal energy based on the change of the energy cycle period includes:

[0025] Obtaining changes in first thermal energy, second thermal energy, third thermal energy, and fourth thermal energy in the first energy conversion node;

[0026] The ratio of the change in the first thermal energy to the second thermal energy is used as the first supply adjustment amount, and the sum of the change in the third thermal energy and the fourth thermal energy is used as the second supply adjustment amount; the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy are obtained through the first supply amount calculation formula.

[0027] Preferably, the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy are obtained by using the first supply amount calculation formula, including: the first supply amount calculation formula is as follows,

[0028]

[0029] in, The specific supply amount of the first thermal energy, the second thermal energy, the third thermal energy or the fourth thermal energy is finally determined; For the current energy cycle; is the benchmark energy cycle; is the change of the first thermal energy; is the change of the second thermal energy; is the change of the third thermal energy; is the change in the fourth thermal energy; is the smallest positive value; , , is the adjustment coefficient obtained by fitting historical data.

[0030] Preferably, the method of verifying the heat storage and release balance state of the ground source heat pump based on the unbalanced state of solar energy heat storage and release and obtaining the verification result includes:

[0031] Collect and analyze the working status of ground source heat pumps under extreme rainfall weather and determine the operating mode;

[0032] If the operation mode of the ground source heat pump is the heating mode: based on the fourth heat energy supply determined by the first supply calculation formula, gradually increase the fourth heat energy supply; if the working state of the ground source heat pump remains stable, continue to maintain the current fourth heat energy supply; if the working state of the ground source heat pump decreases, further increase the fourth heat energy supply; if the working state of the ground source heat pump improves, reduce the fourth heat energy supply;

[0033] If the operation mode of the ground source heat pump is the cooling mode: based on the fourth heat energy supply determined by the first supply calculation formula, gradually reduce the fourth heat energy supply; if the working state of the ground source heat pump remains stable, continue to maintain the current fourth heat energy supply; if the working state of the ground source heat pump decreases, further reduce the fourth heat energy supply; if the working state of the ground source heat pump improves, increase the fourth heat energy supply;

[0034] The working status refers to the start-up time and working duration of the ground source heat pump compressor.

[0035] Preferably, further verifying the heat storage and release balance state of solar energy according to the verification result includes:

[0036] Get the start time of the compressor in heating mode and cooling mode under normal conditions and duration of work ;

[0037] At the same time, obtain the compressor start time in heating mode and cooling mode under extreme rainfall conditions and duration of work ;

[0038] The start-up time and working duration of the two ground-source heat pump compressors are subtracted. If the difference gradually increases, the solar energy storage and release of heat is in an unbalanced state; if the difference gradually increases and then decreases, the solar energy storage and release of heat is in a balanced state.

[0039] Preferably, the energy conversion nodes, energy cycle periods, and heat storage and release balance verification results of collecting solar energy and ground source heat pumps include:

[0040] Based on the verification result of heat storage and release balance, the energy conversion nodes of the first heat energy, the second heat energy and the ground source heat pump in the solar energy are obtained and defined as the second energy conversion node;

[0041] Based on the second energy conversion node, an energy cycle period is determined and defined as a second energy cycle period.

[0042] Preferably, the method of constructing an adaptive learning model and determining the heat storage and release balance method of the solar ground source heat pump system through the adaptive learning model includes:

[0043] Obtain external power supply data and groundwater temperature change data;

[0044] Based on the second energy conversion node and the second energy cycle period, obtaining a training set of working state parameter data of a ground source heat pump;

[0045] Based on the training set of working state parameter data of the ground source heat pump, an adaptive model is constructed, and the training set data is input into the adaptive model to obtain a trained adaptive model;

[0046] The specific adjustment amounts of the first thermal energy and the second thermal energy are determined by the second supply amount calculation formula.

[0047] Preferably, the specific adjustment amounts of the first thermal energy and the second thermal energy are determined by the second supply amount calculation formula, including: the second supply amount calculation formula is as follows,

[0048]

[0049] in, To finally determine the specific supply amount of the first thermal energy and the second thermal energy, For the influence of external power supply, is the adjustment factor, is the change in groundwater temperature, It is the factor affecting extreme weather.

[0050] Beneficial effects: Starting from the basic energy management level, the present invention clearly defines four types of thermal energy and energy conversion nodes, accurately collects key data of solar energy and ground source heat pump systems, and lays a solid foundation for subsequent regulation. In the face of the thorny problem of extreme rainfall, on the one hand, by evaluating the energy cycle, the specific supply of each thermal energy is determined based on this, and refined energy allocation is achieved to ensure that the system can supply energy uninterruptedly in bad weather; on the other hand, taking the imbalanced state of solar energy storage and release as the starting point, the heat storage and release balance state of the ground source heat pump and the solar energy itself is cleverly verified, and the ground source heat pump operation mode is adjusted in real time to maintain its stable operation. Furthermore, by collecting a series of key data to build an adaptive learning model, not only can a model that fits the actual operation be trained, but also the heat storage and release balance adjustment amount can be accurately determined with the help of formulas, so that the system has the ability to automatically optimize according to real-time conditions. By accurately classifying solar energy and thermal energy and introducing the fourth thermal energy compensation mechanism, the present invention enhances the flexibility and adaptability of the system, ensures that efficient energy utilization can be maintained even under extreme rainfall conditions, and significantly improves the intelligence level and response speed of the system, thereby realizing a more intelligent, sensitive and reliable energy management solution. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] Figure 1It is a flow chart of the heat storage and release balance method of the solar ground source heat pump system based on adaptive learning of the present invention;

[0052] Figure 2 This is a schematic diagram of the process of verifying the heat storage and release balance state of the ground source heat pump according to the present invention. DETAILED DESCRIPTION

[0053] The technical solutions in the embodiments of the present invention are described clearly and completely below. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0054] A heat storage and release balance method for solar ground source heat pump system based on adaptive learning, such as Figure 1 As shown, the following steps are included:

[0055] S1: Define energy types, first thermal energy: DC power after photovoltaic conversion supplied to the ground source heat pump system; second thermal energy: electricity after photovoltaic conversion stored in the energy storage device; third thermal energy: solar thermal energy stored in sensible heat or latent heat storage; fourth thermal energy: solar thermal energy stored through underground aquifers; at the same time, collect solar energy and energy conversion nodes of ground source heat pumps;

[0056] S2: Evaluate the energy cycle of the solar energy and ground source heat pump system under extreme rainfall conditions; determine the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy based on changes in the energy cycle;

[0057] S3: based on the unbalanced state of heat storage and release of solar energy, verify the heat storage and release balance state of the ground source heat pump and obtain a verification result; based on the verification result, further verify the heat storage and release balance state of solar energy;

[0058] S4: Collect the energy conversion nodes, energy cycle periods, and heat storage and release balance verification results of solar energy and ground source heat pumps; build an adaptive learning model, and determine the heat storage and release balance method of the solar ground source heat pump system through the adaptive learning model.

[0059] Energy conversion nodes for collecting solar energy and ground source heat pumps include:

[0060] Obtaining a heating mode and a cooling mode cycle of the ground source heat pump system to form N heating mode and cooling mode cycles, and collecting data of the first heat energy, the second heat energy, the third heat energy, and the fourth heat energy in the N heating mode and cooling mode cycles of the ground source heat pump system respectively;

[0061] According to the collected data, a linear curve and a nonlinear curve are drawn between the heating mode cycle and the cooling mode cycle and the first thermal energy, the second thermal energy, the third thermal energy and the fourth thermal energy;

[0062] The drawn linear curve and nonlinear curve are analyzed to find the intersection of the linear curve and the nonlinear curve in the heating mode cycle and the cooling mode cycle; the intersection is determined as the energy conversion node between the solar energy and the ground source heat pump system and defined as the first energy conversion node.

[0063] Further explanation is that during the heating and cooling cycle of the ground source heat pump system, four types of thermal energy data are collected and linear and nonlinear curves are plotted. By graphically displaying the energy change trend, the key features in different modes can be intuitively identified, providing a basis for subsequent analysis. The intersection of the plotted curves is analyzed to determine the energy conversion nodes between the solar energy and the ground source heat pump system. These nodes represent key moments of energy conversion, which help optimize system operation, ensure efficient and stable energy management, and improve overall performance.

[0064] Evaluate the energy cycle of solar and ground source heat pump systems under extreme rainfall conditions, including:

[0065] The first energy conversion node for collecting solar energy and ground source heat pumps under extreme rainfall weather conditions;

[0066] Determine the difference between the energy conversion node under normal conditions and the energy conversion node under extreme rainfall weather;

[0067] According to the difference between the two, the energy cycle of the solar energy and ground source heat pump system under extreme rainfall weather is determined;

[0068] The difference refers to the difference between energy conversion nodes under two different conditions, which is used to quantify the impact of extreme weather on the energy conversion process; the energy cycle period refers to the complete cycle time from energy input to output, which is determined by analyzing the difference in energy conversion nodes under different conditions.

[0069] Further explanation is that by comparing the difference in energy conversion nodes under normal conditions and extreme rainfall, the impact of extreme weather on system performance can be quantified. This difference analysis helps to identify unstable factors in the energy conversion process and provide data support to optimize system operating parameters to ensure the stability and efficiency of the system under severe weather conditions. The energy cycle period is determined based on the difference, and the system operation mode is accurately adjusted under extreme weather conditions. By comparing the energy conversion nodes under different conditions, the change in the complete cycle time from energy input to output is clarified, thereby optimizing the system response speed and efficiency, ensuring optimal performance and energy utilization even under extreme rainfall conditions.

[0070] Based on the change of the energy cycle period, determining the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy and the fourth thermal energy comprises:

[0071] Obtaining changes in first thermal energy, second thermal energy, third thermal energy, and fourth thermal energy in the first energy conversion node;

[0072] The ratio of the change in the first thermal energy to the second thermal energy is used as the first supply adjustment amount, and the sum of the change in the third thermal energy and the fourth thermal energy is used as the second supply adjustment amount; the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy are obtained through the first supply amount calculation formula.

[0073] Further explanation is that the first supply adjustment amount and the second supply adjustment amount are set to dynamically adjust the proportion of each heat energy in the system to ensure the optimization of energy supply. The first supply adjustment amount is based on the ratio of the change amount of the first heat energy and the second heat energy, reflecting the balance between electric energy and energy storage; the second supply adjustment amount is based on the change amount and value of the third heat energy and the fourth heat energy, reflecting the comprehensive impact of sensible heat / latent heat and underground heat storage. This helps the system flexibly allocate resources according to real-time needs and improve overall operating efficiency and stability.

[0074] The specific supply amounts of the first heat energy, the second heat energy, the third heat energy, and the fourth heat energy are obtained by using the first supply amount calculation formula, including: the first supply amount calculation formula is as follows,

[0075]

[0076] in, The specific supply amount of the first thermal energy, the second thermal energy, the third thermal energy or the fourth thermal energy is finally determined; For the current energy cycle; is the benchmark energy cycle; is the change of the first thermal energy; is the change of the second thermal energy; is the change of the third thermal energy; is the change in the fourth thermal energy; is the smallest positive value; , , is the adjustment coefficient obtained by fitting historical data.

[0077] Further explanation is, Used to prevent the denominator from being zero and ensure the stability of the formula calculation; The impact of changes in the energy cycle on the final supply; The influence of the first supply adjustment amount (the ratio of the first heat energy and the second heat energy change amount) on the final supply amount; The influence of the second supply adjustment amount (the sum of the change amounts of the third thermal energy and the fourth thermal energy) on the final supply amount; It reflects the impact of the difference between the current energy cycle and the reference cycle on the heat supply. If the current cycle becomes longer or shorter, the system will adjust the heat supply accordingly to maintain balance. Based on the ratio of the change in the first thermal energy to the second thermal energy, the relative change between the electric energy and the stored energy is measured. Through this ratio, the system dynamically adjusts the proportion of electric energy and stored energy to ensure the optimization of energy utilization. The total amount of changes in the third and fourth heat energies is taken into account, reflecting the combined effects of the sensible / latent heat storage and the underground aquifer heat storage. This helps the system to flexibly allocate heat energy according to actual demand and improve overall efficiency. In addition, the system sets a minimum supply and maximum supply To constrain output values Within a reasonable range, ensure the safe and stable operation of the system.

[0078] Based on the imbalanced state of solar energy heat storage and release, the heat storage and release balance state of the ground source heat pump is verified and the verification results are obtained, such as Figure 2 As shown, including:

[0079] Collect and analyze the working status of ground source heat pumps under extreme rainfall weather and determine the operating mode;

[0080] If the operation mode of the ground source heat pump is the heating mode: based on the fourth heat energy supply determined by the first supply calculation formula, gradually increase the fourth heat energy supply; if the working state of the ground source heat pump remains stable, continue to maintain the current fourth heat energy supply; if the working state of the ground source heat pump decreases, further increase the fourth heat energy supply; if the working state of the ground source heat pump improves, reduce the fourth heat energy supply;

[0081] If the operation mode of the ground source heat pump is the cooling mode: based on the fourth heat energy supply determined by the first supply calculation formula, gradually reduce the fourth heat energy supply; if the working state of the ground source heat pump remains stable, continue to maintain the current fourth heat energy supply; if the working state of the ground source heat pump decreases, further reduce the fourth heat energy supply; if the working state of the ground source heat pump improves, increase the fourth heat energy supply;

[0082] The working status refers to the start-up time and working duration of the ground source heat pump compressor.

[0083] It is further explained that in the heating mode, the supply of the fourth heat energy is gradually increased to compensate for the insufficient groundwater temperature. If the working state of the compressor tends to be stable after the fourth heat energy is increased (the start-up time and working duration return to normal), it means that the supplement of the fourth heat energy is effective and the current supply continues to be maintained; if the working state is still unstable, the fourth heat energy is further increased. In the cooling mode, the supply of the fourth heat energy is gradually reduced to avoid unnecessary heat input. If the working state of the compressor tends to be stable after the fourth heat energy is reduced, it means that unnecessary energy waste is reduced; if the working state is still unstable, the fourth heat energy is further reduced. By dynamically adjusting the supply of the fourth heat energy and observing the start-up time and working duration of the compressor, the heat storage and release balance state of the ground source heat pump system is indirectly verified. This method can not only monitor and adjust the operating state of the system in real time without knowing the specific underground temperature imbalance, but also ensure the stability and efficiency of the system. As the core component of the system, the working state of the compressor can best reflect the overall performance changes of the system, so it becomes a key monitoring object. The practice of gradually increasing and gradually reducing the supply of the fourth heat energy enables the system to respond flexibly in different environments to ensure optimal energy utilization and operating efficiency.

[0084] According to the verification results, the heat storage and release balance state of solar energy is further verified, including:

[0085] Get the start time of the compressor in heating mode and cooling mode under normal conditions and duration of work ;

[0086] At the same time, obtain the compressor start time in heating mode and cooling mode under extreme rainfall conditions and duration of work ;

[0087] The start-up time and working duration of the two ground-source heat pump compressors are subtracted. If the difference gradually increases, the solar energy storage and release of heat is in an unbalanced state; if the difference gradually increases and then decreases, the solar energy storage and release of heat is in a balanced state.

[0088] A further explanation is that the start-up time and working duration of the compressor in the two cases are used to make a difference, that is, to calculate the difference between each pair of data: , these differences reflect the changes in the system's working state under different conditions (normal and adjusted). Gradually increase: If the difference and Gradually increasing, indicating that the compressor needs to work more frequently or longer to maintain the set temperature. This indicates that the system may not be able to effectively utilize the heat stored by solar energy, resulting in an imbalance in solar energy storage and release. Gradually increasing and then decreasing: If the difference and It gradually increases first and then decreases, indicating that after a period of adjustment, the system's operating state tends to be stable. This shows that the system can effectively utilize the heat stored in solar energy, and the solar energy storage and release of heat is in a balanced state.

[0089] Collect the energy conversion nodes, energy cycle, and heat storage and release balance verification results of solar energy and ground source heat pumps, including:

[0090] Based on the verification result of heat storage and release balance, the energy conversion nodes of the first heat energy, the second heat energy and the ground source heat pump in the solar energy are obtained and defined as the second energy conversion node;

[0091] Based on the second energy conversion node, an energy cycle period is determined and defined as a second energy cycle period.

[0092] Further explanation is that under extreme weather conditions, when solar energy supply is insufficient, the system mainly relies on existing energy storage (first thermal energy) and electricity in the energy storage device (second thermal energy). By defining the second energy conversion node, the system can manage limited energy resources more effectively and ensure the continuous operation of key functions. The synergy between the ground source heat pump and the energy storage system enhances the stability and reliability of the system and reduces the impact of the external environment on performance. Based on the data under this special condition, the new "second energy cycle" is re-evaluated and determined, reflecting how the system uses energy storage and ground source heat pumps to maintain stable operation. This not only improves the adaptability and efficiency of the system, but also ensures the continuity and stability of services even in adverse environments, avoiding service interruptions caused by external factors, thereby achieving higher energy efficiency and reducing waste.

[0093] An adaptive learning model is constructed, and the heat storage and release balance method of the solar ground source heat pump system is determined by the adaptive learning model, including:

[0094] Obtain external power supply data and groundwater temperature change data;

[0095] Based on the second energy conversion node and the second energy cycle period, obtaining a training set of working state parameter data of a ground source heat pump;

[0096] Based on the training set of working state parameter data of the ground source heat pump, an adaptive model is constructed, and the training set data is input into the adaptive model to obtain a trained adaptive model;

[0097] The specific adjustment amounts of the first thermal energy and the second thermal energy are determined by the second supply amount calculation formula.

[0098] A further explanation is that by collecting and utilizing the data of the optimized second energy conversion node and the second energy cycle, an adaptive model is constructed and trained to adapt to complex and changing environments.

[0099] The specific adjustment amounts of the first heat energy and the second heat energy are determined by the second supply amount calculation formula, including: the second supply amount calculation formula is as follows,

[0100]

[0101] in, To finally determine the specific supply amount of the first thermal energy and the second thermal energy, For the influence of external power supply, is the adjustment factor, is the change in groundwater temperature, It is the factor affecting extreme weather.

[0102] Further explanation is, Used to adapt to different application scenarios and parameter changes, obtained through experiments or historical data calibration; Reflects the impact of groundwater temperature imbalance. Changes in groundwater temperature directly affect the working efficiency of the ground source heat pump; positive values ​​indicate temperature rise, and negative values ​​indicate temperature drop; Quantify the impact of severe weather conditions such as extreme rainfall on the system, based on weather forecasts and historical data analysis. The main function of the formula is to integrate multiple influencing factors in the form of an exponential function to calculate the optimal heat supply of the system under specific conditions. The characteristic of the exponential function is that it can quickly enlarge or reduce the output value, which enables the formula to flexibly adjust the heat supply under different conditions to adapt to complex and changing environmental needs.

[0103] The above is a detailed introduction to the present application. Specific examples are used in this article to illustrate the principles and implementation methods of the present application. The description of the above embodiments is only used to help understand the method of the present application and its core idea. At the same time, for general technical personnel in this field, according to the idea of ​​the present application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as a limitation on the present application.

Claims

1. A heat storage and release balance method for a solar ground source heat pump system based on adaptive learning, characterized in that: The following steps are involved: S1: Define energy types, first thermal energy: DC power after photovoltaic conversion supplied to the ground source heat pump system; second thermal energy: electricity after photovoltaic conversion stored in the energy storage device; third thermal energy: solar thermal energy stored in sensible heat or latent heat storage; fourth thermal energy: solar thermal energy stored through underground aquifers; at the same time, collect solar energy and energy conversion nodes of ground source heat pumps; S2: Evaluate the energy cycle of the solar energy and ground source heat pump system under extreme rainfall conditions; determine the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy based on changes in the energy cycle; S3: based on the unbalanced state of heat storage and release of solar energy, verify the heat storage and release balance state of the ground source heat pump and obtain a verification result; based on the verification result, further verify the heat storage and release balance state of solar energy; S4: Collect the energy conversion nodes, energy cycle, and heat storage and release balance verification results of solar energy and ground source heat pumps; construct an adaptive learning model, and determine the heat storage and release balance method of the solar ground source heat pump system through the adaptive learning model; The energy conversion node for collecting solar energy and ground source heat pump includes: Obtaining a heating mode and a cooling mode cycle of the ground source heat pump system to form N heating mode and cooling mode cycles, and collecting data of the first heat energy, the second heat energy, the third heat energy, and the fourth heat energy in the N heating mode and cooling mode cycles of the ground source heat pump system respectively; According to the collected data, a linear curve and a nonlinear curve are drawn between the heating mode cycle and the cooling mode cycle and the first thermal energy, the second thermal energy, the third thermal energy and the fourth thermal energy; Analyze the drawn linear curve and nonlinear curve to find the intersection of the linear curve and the nonlinear curve in the heating mode cycle and the cooling mode cycle; determine the intersection as the energy conversion node between the solar energy and the ground source heat pump system and define it as the first energy conversion node; The energy cycle of evaluating the solar energy and ground source heat pump system under extreme rainfall conditions includes: The first energy conversion node for collecting solar energy and ground source heat pumps under extreme rainfall weather conditions; Determine the difference between the energy conversion node under normal conditions and the energy conversion node under extreme rainfall weather; According to the difference between the two, the energy cycle of the solar energy and ground source heat pump system under extreme rainfall weather is determined; The difference refers to the difference between energy conversion nodes under two different conditions, which is used to quantify the impact of extreme weather on the energy conversion process; the energy cycle period refers to the complete cycle time from energy input to output, which is determined by analyzing the difference between energy conversion nodes under different conditions; The method of verifying the heat storage and release balance state of the ground source heat pump based on the unbalanced state of solar energy heat storage and release and obtaining the verification result includes: Collect and analyze the working status of ground source heat pumps under extreme rainfall weather and determine the operating mode; If the operation mode of the ground source heat pump is the heating mode: based on the fourth heat energy supply determined by the first supply calculation formula, gradually increase the fourth heat energy supply; if the working state of the ground source heat pump remains stable, continue to maintain the current fourth heat energy supply; if the working state of the ground source heat pump decreases, further increase the fourth heat energy supply; if the working state of the ground source heat pump improves, reduce the fourth heat energy supply; If the operation mode of the ground source heat pump is the cooling mode: based on the fourth heat energy supply determined by the first supply calculation formula, gradually reduce the fourth heat energy supply; if the working state of the ground source heat pump remains stable, continue to maintain the current fourth heat energy supply; if the working state of the ground source heat pump decreases, further reduce the fourth heat energy supply; if the working state of the ground source heat pump improves, increase the fourth heat energy supply; The working status refers to the start-up time and working duration of the ground source heat pump compressor.

2. The heat storage and release balance method of a solar ground source heat pump system based on adaptive learning according to claim 1, characterized in that: The determining of specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy based on the change of the energy cycle period comprises: Obtaining changes in first thermal energy, second thermal energy, third thermal energy, and fourth thermal energy in the first energy conversion node; The ratio of the change in the first thermal energy to the second thermal energy is used as the first supply adjustment amount, and the sum of the change in the third thermal energy and the fourth thermal energy is used as the second supply adjustment amount; the specific supply amounts of the first thermal energy, the second thermal energy, the third thermal energy, and the fourth thermal energy are obtained through the first supply amount calculation formula.

3. The heat storage and release balance method of a solar ground source heat pump system based on adaptive learning as claimed in claim 2, characterized in that: The specific supply amounts of the first heat energy, the second heat energy, the third heat energy, and the fourth heat energy are obtained by using the first supply amount calculation formula, including: the first supply amount calculation formula is as follows, Among them, E is the specific supply amount of the first thermal energy, the second thermal energy, the third thermal energy or the fourth thermal energy that is finally determined; T is the current energy cycle period; T1 is the benchmark energy cycle period; ΔE1 is the change in the first thermal energy; ΔE2 is the change in the second thermal energy; ΔE3 is the change in the third thermal energy; ΔE4 is the change in the fourth thermal energy; ∈ is the smallest positive value; c1, c2, c3 are the adjustment coefficients obtained by fitting historical data.

4. The heat storage and release balance method of a solar ground source heat pump system based on adaptive learning as claimed in claim 1, characterized in that: According to the verification result, further verifying the heat storage and release balance state of solar energy includes: Get the start time [t1, t2, t3, ..., tn] and working duration [T1, T2, T3, ..., TN] of the compressor in heating mode and cooling mode under normal conditions; At the same time, the start-up time [ta1, ta2, ta3, ..., tan] and working duration [TA1, TA2, TA3, ..., TAN] of the compressor in heating mode and cooling mode under extreme rainfall conditions are obtained; The start-up time and working duration of the two ground-source heat pump compressors are subtracted. If the difference gradually increases, the solar energy storage and release of heat is in an unbalanced state; if the difference gradually increases and then decreases, the solar energy storage and release of heat is in a balanced state.

5. The heat storage and release balance method of a solar ground source heat pump system based on adaptive learning as claimed in claim 4, characterized in that: The energy conversion nodes, energy cycle, and heat storage and release balance verification results of the solar energy and ground source heat pump collection include: Based on the verification result of heat storage and release balance, the energy conversion nodes of the first heat energy, the second heat energy and the ground source heat pump in the solar energy are obtained and defined as the second energy conversion node; Based on the second energy conversion node, an energy cycle period is determined and defined as a second energy cycle period.

6. The heat storage and release balance method of a solar ground source heat pump system based on adaptive learning as claimed in claim 5, characterized in that: The method of constructing an adaptive learning model and determining the heat storage and release balance method of the solar ground source heat pump system through the adaptive learning model includes: Obtain external power supply data and groundwater temperature change data; Based on the second energy conversion node and the second energy cycle period, obtaining a training set of working state parameter data of a ground source heat pump; Based on the training set of working state parameter data of the ground source heat pump, an adaptive model is constructed, and the training set data is input into the adaptive model to obtain a trained adaptive model; The specific adjustment amounts of the first thermal energy and the second thermal energy are determined by the second supply amount calculation formula.

7. The heat storage and release balance method of a solar ground source heat pump system based on adaptive learning as claimed in claim 6, characterized in that: The specific adjustment amount of the first heat energy and the second heat energy is determined by the second supply amount calculation formula, including: the second supply amount calculation formula is as follows, Among them, E1 is the specific supply of the first heat energy and the second heat energy finally determined, P is the influence of the external power supply, c is the adjustment coefficient, ΔT gw is the change of groundwater temperature, and W is the extreme weather impact factor.

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