Low-temperature efficient heat supply method for coupling solar energy and heat pump system

Abstract

The invention relates to the technical field of heat supply control, in particular to a low-temperature efficient heat supply method for coupling solar energy and a heat pump system, which comprises the following steps: on the basis of a solar heat collector and a heat storage device, collecting available energy information, setting an auxiliary heat source and monitoring multiple parameters to configure an all-weather heat supply strategy; the heat storage device is efficiently insulated, and the utilization efficiency is evaluated; the coupling heat supply control of the solar heat collector and the heat pump system is carried out by analyzing the external temperature and automatically adjusting the equipment and taking the maximization of the solar energy utilization efficiency as the target, so that the technical problem of low efficiency of a single heat supply mode at low temperature is solved, and the organic combination of solar energy and the heat pump system is realized; the system has the advantages that high-efficiency heat supply can still be kept in a low-temperature environment, the overall heat supply efficiency is remarkably improved, coupled heat supply control over a solar heat collector and a heat pump system is achieved, cooperative work of solar energy and a heat pump is optimized, all-weather stable heat supply is guaranteed, energy waste is reduced, and the heat supply intelligent level is improved.

Description

Technical Field

[0001] The present invention relates to the technical field related to heating control, and in particular to a low-temperature and high-efficiency heating method coupling solar energy and a heat pump system. Background Art

[0002] With the increasing severity of the global energy crisis and environmental problems, traditional heating methods are facing huge challenges, especially in low-temperature environments, where the energy efficiency of heating systems is significantly reduced, resulting in increased energy consumption and rising operating costs. As a clean and renewable energy source, solar energy has great potential for utilization, especially in the field of heating. However, due to the intermittent and unstable characteristics of solar energy resources, it is difficult to meet the continuous and stable heating needs by relying solely on solar energy heating in cold or no sunlight conditions. In order to improve the efficiency and stability of heating, heat pump technology has become an important auxiliary heating method due to its high energy efficiency and reliable operation. Combining solar energy with heat pump systems, making full use of solar energy while supplemented by the efficient auxiliary heating of heat pumps, can effectively solve the heating problem in low-temperature environments and achieve the effect of energy conservation and emission reduction. However, how to efficiently coordinate and dynamically adjust solar energy and heat pumps through intelligent control systems to further improve the overall energy efficiency of the system is still an urgent problem to be solved in the current technical field.

[0003] In summary, the prior art has the technical problem that a single heating mode is inefficient at low temperatures. Summary of the invention

[0004] The present application provides a low-temperature and high-efficiency heating method that couples solar energy and a heat pump system, aiming to solve the technical problem of low efficiency of a single heating method at low temperatures in the prior art.

[0005] In view of the above problems, the technical solution to implement this application is:

[0006] The present application provides a low-temperature and high-efficiency heating method for coupling solar energy with a heat pump system, wherein the method comprises: collecting first available energy information through a solar energy collection period based on the connection between a solar thermal collector and a heat storage device;

[0007] According to the solar energy collection period, setting auxiliary heat source equipment and collecting second available energy information;

[0008] Monitor the outside temperature, the working state of the solar thermal collector and the indoor heating demand, and configure an all-weather auxiliary heating strategy in combination with the first available energy information and the second available energy information, wherein the all-weather auxiliary heating strategy includes a heating priority;

[0009] The heat storage device is a highly efficient heat-insulating structure, which is used to store heat energy during the solar energy collection period when the solar collector is in operation, and to evaluate the solar energy utilization efficiency;

[0010] By analyzing the ambient temperature change through the external temperature, the solar collector and the auxiliary heat source equipment are automatically adjusted through the all-weather auxiliary heating strategy, and the coupling heating control of the solar collector and the heat pump system is carried out with the goal of maximizing the solar energy utilization efficiency.

[0011] In summary, one or more technical solutions provided in this application solve the technical problem of low efficiency of a single heating method at low temperatures, and achieve the technical effect of maintaining efficient heating in a low temperature environment through the organic combination of solar energy and the heat pump system, significantly improving the overall heating efficiency, and coupling heating control of the solar collector and the heat pump system, optimizing the coordinated work of solar energy and the heat pump, ensuring stable heating around the clock, reducing energy waste, and improving the level of intelligent heating. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 A schematic flow chart of a low-temperature and high-efficiency heating method coupling solar energy and a heat pump system is provided for this application. DETAILED DESCRIPTION

[0013] Example

[0014] The present application is described in detail below with reference to the accompanying drawings. Figure 1 As shown, the present application provides a low-temperature and high-efficiency heating method for coupling solar energy and a heat pump system, wherein the method comprises:

[0015] S100: Based on the connection between the solar collector and the heat storage device, first available energy information is collected through the solar energy collection period; S200: According to the solar energy collection period, auxiliary heat source equipment is set and second available energy information is collected.

[0016] Specifically, solar collectors are used to collect solar radiation energy and convert it into thermal energy, which is usually used for heating or hot water production; heat storage devices are equipment used to store thermal energy, which can release the heat collected during the operation of the solar collector when needed; the first available energy information and the second available energy information include the quantity and quality of thermal energy; auxiliary heat source equipment is equipment that provides additional heat when the main heat source is insufficient.

[0017] Based on the connection between the solar collector and the heat storage device, it starts working during the period of solar energy collection. At this time, it automatically monitors and records the first available energy information, including key data such as the thermal energy collected by the solar collector and its efficiency. For example, if a collector collects 500MJ of thermal energy in a certain period of time, this information will be recorded as the first available energy information.

[0018] Subsequently, based on the period of solar energy collection, it is evaluated whether the current thermal energy is sufficient to meet the indoor heating demand. If the collector output is not enough to maintain the required indoor temperature, a corresponding auxiliary heat source device will be set up, which can be an air source heat pump, which will be started when solar energy is insufficient to provide additional heat. At this time, the second available energy information is collected, such as the heat output capacity and energy consumption data of the air source heat pump under specific environmental conditions. Effective management and integration of the two available energy information is achieved, thereby providing the necessary data basis for the subsequent heating strategy configuration, dynamically adapting to changes in the external environment, and achieving efficient heating control.

[0019] S300: monitor the outside temperature, the working state of the solar thermal collector and the indoor heating demand, and configure an all-weather auxiliary heating strategy in combination with the first available energy information and the second available energy information, wherein the all-weather auxiliary heating strategy includes a heating priority; S400: the heat storage device is a high-efficiency thermal insulation structure, which is used to store thermal energy during the solar energy collection period when the solar thermal collector is in working state, and to evaluate the solar energy utilization efficiency; S500: analyze the ambient temperature change through the outside temperature, automatically adjust the solar thermal collector and the auxiliary heat source equipment through the all-weather auxiliary heating strategy, and perform coupled heating control of the solar thermal collector and the heat pump system with the goal of maximizing the solar energy utilization efficiency.

[0020] Specifically, the outside temperature refers to the actual air temperature in the environment, which has a direct impact on the heating demand; the working status refers to the current operating status of the solar collector, including whether it is working and its working efficiency; the heating demand refers to the amount of heat required indoors to maintain a comfortable temperature environment; the all-weather auxiliary heating strategy refers to a strategy for optimizing heating under various climatic conditions to ensure that the heating demand is met through auxiliary heat sources when solar energy is insufficient; the heat storage device is a device with an efficient insulation structure, which is used to store heat energy collected during the operation of the solar collector.

[0021] Constantly monitor the outside temperature, the working status of the solar collector, and the indoor heating demand. First, changes in the outside temperature will affect the stability of the indoor temperature. For example, in the cold winter, the drop in the outside temperature will lead to an increase in the indoor heating demand. By combining the first available energy information (the heat collected by the solar collector) and the second available energy information (the heat output capacity of the auxiliary heat source equipment), an all-weather auxiliary heating strategy is configured. The all-weather auxiliary heating strategy will set different heating priorities. For example, when the heat output of the solar collector is insufficient, the auxiliary heat source equipment can be started first to ensure that the indoor temperature meets the set comfort standard.

[0022] At the same time, the heat storage device plays a key role in this process. The heat storage device has an efficient insulation structure and can store excess heat energy when the solar collector is working. When the solar collector is in operation, the heat storage device absorbs and stores heat and releases it when needed later. Regularly evaluate the efficiency of solar energy utilization. For example, if the efficiency of the solar collector reaches 90% on a certain day, this information will be recorded and taken into account in the subsequent strategy adjustment; based on the monitored outside temperature, heating demand and all-weather heating strategy, the angle of the solar collector (to optimize the collection efficiency) and the working state of the auxiliary heat source equipment are automatically adjusted; through such coupled heating control (if the outside temperature drops sharply, the solar collector is automatically adjusted to the optimal angle, and the air source heat pump is started at the same time to quickly meet the increased heating demand), it aims to maximize the efficiency of solar energy utilization, thereby achieving more efficient heating.

[0023] Furthermore, based on the connection between the solar thermal collector and the heat storage device, the first available energy information is collected through the solar energy collection period, and the method of the present application further includes:

[0024] The heat collection efficiency of the solar thermal collector is analyzed to determine an optimal heat collection angle and an optimal heat collection area; based on the optimal heat collection angle and the optimal heat collection area, the first available energy information is determined according to the heat collection efficiency and the solar radiation intensity.

[0025] Specifically, the thermal efficiency refers to the ability of a solar collector to convert solar energy into thermal energy, usually expressed as a percentage; the optimal thermal collection angle is the optimal inclination angle between the solar collector and the ground to maximize the capture of solar radiation; the optimal thermal collection area is the surface area design of the solar collector to ensure sufficient heat collection without wasting resources; the solar radiation intensity refers to the amount of solar energy received per unit area, usually expressed in watts per square meter (W / m 2 )express.

[0026] First, the solar collector connected to the heat storage device collects heat energy during a specific energy collection period. At this time, not only the collected heat is recorded, but also the heat collection efficiency is analyzed. This analysis process involves evaluating the performance of the collector under different weather conditions to obtain the best collection angle and collection area. For example, through historical data analysis, it is found that the best collection angle of the collector in spring is 30 degrees, and at this angle, the collection efficiency is the highest when the collection area is 20 square meters. At this time, the settings of the collector are optimized according to these parameters.

[0027] After determining the optimal collection angle and area, combined with real-time solar radiation intensity data, for example, the radiation intensity on that day is 800W / m 2 When the heat collection efficiency (assuming 85%) is used to calculate the available heat energy, the first available energy information will be updated to the actual collected heat. Specifically, during a specific energy collection period, the solar collector's heat collection efficiency is 85%, and under optimal conditions, a 20 square meter heat collection area can collect 800W / m 2 The first available energy information is calculated as follows: solar radiation = heat collection area × radiation intensity × heat collection efficiency = 20m 2 ×800W / m 2 ×0.85=13600 W. In this way, the actual available energy information under different weather conditions and settings can be accurately evaluated, thus providing data support for the subsequent heating strategy formulation.

[0028] Furthermore, the present application method also includes:

[0029] The auxiliary heat source equipment includes any one or more of an air source heat pump unit, a water source heat pump unit, and a ground source heat pump unit associated with the heat pump system.

[0030] Specifically, auxiliary heat source equipment refers to equipment used to supplement or increase the heat of the heating system, providing additional heat when the main heating source is insufficient; the heat pump system is a device that extracts heat from low-grade heat sources (such as air, water, and ground) through the reverse Carnot cycle principle, and transfers it to a high-temperature environment to provide heating; an air source heat pump is a heat pump that uses the heat in the air for heating, and is suitable for environments with relatively high temperatures; a water source heat pump is a heat pump that uses the heat in water bodies (such as lakes, rivers, groundwater, etc.) for heating, and is usually more efficient; a ground source heat pump is a heat pump that uses the heat in the underground soil for heating, and is suitable for environments with relatively stable ground temperatures.

[0031] Auxiliary heat source equipment may include air source heat pumps, water source heat pumps or ground source heat pumps. When solar collectors cannot meet all heating needs, users can choose one or more devices for combination use based on environmental conditions and actual needs. Specifically, the current heating demand and ambient temperature are evaluated. For example, if the indoor temperature is lower than the set comfort range (such as 20°C) in a cold winter, the auxiliary heat source equipment will be started.

[0032] Assuming that the auxiliary heat source equipment currently used is an air source heat pump, monitor the outside temperature. If the outside temperature is -5°C, the air source heat pump can still extract heat from the air. Although its efficiency is higher (such as 5°C), it will adjust its working mode according to real-time data to ensure that it can still provide stable heating in a low-temperature environment. For example, when the indoor heating demand is 10kW, and the heat provided by the solar collector is only 6kW, the air source heat pump will be started and its output power will be set to 4kW to supplement the required heat. At this time, the air source heat pump absorbs the heat of the external low-temperature air and releases it into the room after heating.

[0033] If the user configures a water source heat pump at the same time and monitors that the temperature of the nearby water body is suitable, then in the overall heating strategy, the water source heat pump can also be used in combination with the air source heat pump to optimize energy efficiency and improve heating capacity. For example, the water source heat pump may be started in the morning, and then switched to the air source heat pump as the outside temperature rises, thereby reducing energy consumption and ensuring a stable indoor temperature. Through this intelligent configuration and real-time adjustment, the auxiliary heat source equipment can effectively supplement the heating demand and ensure the user's comfortable experience in different seasons and climate conditions.

[0034] Furthermore, the all-weather auxiliary heating strategy includes heating priority, and the application method includes:

[0035] Through the heating priority, the first available energy information is prioritized and a custom temperature threshold is set; when the indoor temperature does not meet the custom temperature threshold, the heat pump system is automatically started, and the auxiliary heat source equipment is used to supplement heat in combination with the indoor heating demand.

[0036] Specifically, the weather-assisted heating strategy refers to a heating strategy that comprehensively considers environmental factors and user needs, aiming to achieve stable and efficient indoor heating; the heating priority is the priority of heating sources set according to available energy information, cost, efficiency and other factors; the custom temperature threshold is the ideal indoor temperature range set by the user, and supplementary heating is started when this range is exceeded; auxiliary heat source equipment refers to equipment that provides additional heat when the main heating source is insufficient, such as a heat pump.

[0037] The heating source is dynamically adjusted through heating priority to ensure stable indoor temperature. Specifically, first, the available heating sources will be prioritized according to the real-time first available energy information (such as the heat provided by the solar collector and the weather forecast). For example, if the current solar collector is working well and has a high heat collection efficiency, it will be marked as the priority heating source; if the outside temperature is low and the air source heat pump is also available, the heat pump will be considered for use.

[0038] Next, the user sets a custom temperature threshold, for example, set it to 20℃. This threshold means that when the indoor temperature is below 20℃, the auxiliary heat source equipment should be started to supplement the heat and meet the heating demand. Assuming that the indoor temperature is monitored to be 18℃, which is lower than the threshold set by the user, at this time, it will automatically recognize that the heat pump system needs to be started, combined with the indoor heating demand (for example, an additional 2kW of heat is needed) to supplement the heating, and the air source heat pump is used first because it still has a certain heat output capacity at this temperature. For example, start the air source heat pump and set its output power to 2kW. In this way, the indoor temperature will gradually increase until it reaches the set 20℃. If in some cases, the efficiency of the air source heat pump is low or cannot meet the demand, you can switch to using a water source heat pump or a ground source heat pump according to the heating priority.

[0039] In the above steps, the flexible adjustment mechanism not only optimizes energy efficiency, but also improves the user's comfort experience. Through real-time monitoring and dynamic adjustment, it ensures that indoor heating needs can be met at any time, making the heating system more intelligent and efficient.

[0040] Furthermore, the external temperature, the working state of the solar thermal collector and the indoor heating demand are monitored, and the all-weather auxiliary heating strategy is configured in combination with the first available energy information and the second available energy information. The application method includes:

[0041] Based on the weather forecast, the predicted collection amount of the solar thermal collector and the predicted load demand of the auxiliary heat source equipment are obtained; the heating task of the auxiliary heat source equipment is generated through the predicted collection amount of the solar thermal collector and the predicted load demand of the auxiliary heat source equipment; the heating task of the auxiliary heat source equipment is synchronized to the user interface.

[0042] Specifically, the outside temperature refers to the air temperature of the environment, which has an important impact on the operating efficiency and heating demand of the heating system; the working status of the solar collector is used to describe the current operating status of the collector, including whether it is working, the heat collection efficiency, etc.; the indoor heating demand refers to the indoor temperature and heat required by the user, reflecting the user's comfort needs; the first available energy information refers to the information from the solar collector, such as the heat collection capacity and heat storage conditions; the second available energy information refers to the information from the auxiliary heat source equipment, such as the working status of the heat pump and the available load.

[0043] Monitor the outside temperature, the working status of the solar thermal collector, and the indoor heating demand to ensure efficient operation. Specifically, first, monitor the outside temperature in real time. If the outside temperature is low (for example, 5°C), you will be aware that the heating demand may increase. At the same time, you will obtain the working status of the solar thermal collector, such as whether it is currently collecting energy and how efficient it is.

[0044] Next, the solar heat collection amount for the next period of time is predicted based on the weather forecast data, including analyzing the changes in solar radiation intensity in the next few hours or days. Assuming that the weather forecast shows that the next day will be sunny, the solar collector is predicted to have a relatively high heat collection amount. At the same time, the predicted load demand of the auxiliary heat source equipment is evaluated, including understanding the performance of the heat pump and the indoor temperature requirements set by the user. For example, it may be predicted that in cold weather, the heat pump needs to provide an additional 3kW of heat to keep the indoor temperature within the set range. Then, the heating task of the auxiliary heat source equipment is generated to clarify how much heat the auxiliary heat source needs to provide within a specific time. For example, if it is predicted that 3kW of heat is needed within a certain period of time, this task will be sent to the heat pump.

[0045] Finally, the generated heating task is synchronized to the user interface, allowing users to view the current heating plan and demand in real time. This synchronization process not only improves the user's interactive experience, but also allows users to adjust the heating strategy when needed. For example, users can manually increase the indoor temperature setting according to their own comfort requirements, and then the output of the auxiliary heat source will be automatically adjusted accordingly. Through this series of monitoring and decision-making processes, heating can flexibly respond to environmental changes and user needs, ensuring efficient and comfortable indoor heating.

[0046] Furthermore, the heating task of the auxiliary heat source device is synchronized to the user interface. The method of the present application includes:

[0047] Based on the custom temperature threshold, a user comfort score is obtained; and through the user comfort score, a user interaction function is provided in the user interface, wherein the user interaction function allows the user to adjust the heating priority.

[0048] Specifically, the heating task of the auxiliary heat source equipment refers to the generated heating instruction, which stipulates the amount of heat that the auxiliary heat source equipment needs to provide within a specific time; the custom temperature threshold is the temperature range set by the user according to personal comfort needs. When the indoor temperature is lower or higher than this range, the heating needs to be automatically adjusted; the user comfort score is used to characterize the score based on user feedback and environmental data, reflecting the user's satisfaction with the current indoor temperature and heating conditions; the user interaction function is the interface function provided, which allows the user to input and adjust, such as modifying the temperature setting and heating priority.

[0049] In the process of synchronizing the heating task of the auxiliary heat source equipment to the user interface, the user's comfort score is first obtained based on the custom temperature threshold set by the user. Specifically, when it is detected that the indoor temperature is close to or deviates from the custom temperature threshold set by the user (for example, the user wants the indoor temperature to be maintained at 20°C), the current indoor temperature and heating conditions will be evaluated; if the actual temperature is 18°C, the user's comfort score will be lowered (for example, a score of 4 points), indicating that the user may feel cold.

[0050] Next, the user comfort score is used to provide interactive functions on the user interface. For example, the user interface can display the current indoor temperature, heating task status, and comfort score, so that users can intuitively understand the heating situation. If the user score is low, the interface will provide buttons and sliders so that users can manually adjust the heating priority, such as changing the priority from "economic mode" to "comfort mode" to increase the heating output while giving priority to comfort.

[0051] Users can interact directly with the system on the interface, such as increasing the set temperature to 22°C. The system will then receive this adjustment and automatically modify the heating task of the auxiliary heat source equipment to provide higher heat (for example, increase it to 5kW) to ensure that the indoor temperature quickly rises to a level that satisfies the user. Through this process, users can not only understand and participate in heating control in a timely manner, but also make real-time adjustments based on their own comfort needs, ensuring that the heating system flexibly responds to individual needs, thereby improving overall living comfort.

[0052] Furthermore, the user interaction function allows the user to adjust the heating priority. The method of the present application includes:

[0053] A comfort rating model is established through the user comfort rating, and the comfort rating model is used to predict the user's preference under different heating conditions; based on the comfort rating model, the all-weather auxiliary heating strategy is obtained.

[0054] Specifically, the user interaction function refers to the interface function provided, which allows users to make real-time adjustments to the heating strategy; the comfort scoring model is a predictive model based on user historical feedback and current environmental data, which is used to evaluate the user's comfort under different heating conditions; the all-weather auxiliary heating strategy is a heating plan that is dynamically adjusted according to the environment and user needs to ensure that users obtain a comfortable indoor temperature under different climatic conditions.

[0055] In the context of user interaction functions allowing users to adjust heating priorities, it is first necessary to establish a comfort scoring model through user comfort scores. The core of the comfort scoring model is to analyze past user feedback to predict the preferences of different users under different heating conditions. For example, if the user selects "comfort mode" and gives a high score in the low temperature of winter, and selects "economic mode" and gives a lower score in the warm spring, these data can be recorded. Specifically, these scoring data will be collected and a comfort scoring model will be established using machine learning algorithms (such as regression analysis). The comfort scoring model can input different heating conditions (such as indoor temperature, outside temperature and heating method) and output the user's expected comfort score. For example, the comfort scoring model predicts that when the indoor temperature is 22°C, the user's comfort score is 8 points, while at 18°C, the score is only 4 points.

[0056] Next, based on this comfort rating model, an all-weather auxiliary heating strategy can be obtained. When environmental conditions change (such as a drop in outside temperature or a change in user demand), the comfort rating model will quickly evaluate whether the current heating solution meets the user's comfort needs. For example, when the outside temperature drops sharply, the comfort rating model will predict the user's comfort under this condition, and may conclude that if the current heating priority continues to be used, the user may feel cold (the score drops to 5 points). Therefore, the heating strategy can be automatically adjusted to increase the priority from "economic mode" to "comfort mode", ensuring that the indoor temperature is raised to a level that is more in line with user preferences (such as 22°C), thereby increasing the user's comfort score to 8 points, thereby ensuring that the heating system can intelligently respond to changes in user needs and optimize the comfort of the living environment.

[0057] Furthermore, the present application method also includes:

[0058] The integrated remote monitoring and control function allows the user to remotely access and view the real-time energy consumption and solar energy utilization efficiency of the auxiliary heat source equipment; based on the real-time energy consumption and solar energy utilization efficiency of the auxiliary heat source equipment, the collaborative working equipment is integratedly managed, and the collaborative working equipment includes smart curtains.

[0059] Specifically, the remote monitoring and control function refers to the function that users can monitor and control in real time through the Internet or smart devices; real-time energy consumption refers to the energy consumption of the auxiliary heat source equipment at the current moment; solar energy utilization efficiency refers to the efficiency of the solar collector in the process of energy collection and utilization, usually expressed as the ratio of the collected heat to the theoretical maximum heat; collaborative equipment refers to other equipment that collaborates with the main heating system to jointly optimize energy use, such as smart curtains, smart thermostats, etc.

[0060] The design of integrated remote monitoring and control function first allows users to access their auxiliary heat source equipment through mobile phone applications or computer interfaces; after logging in, users can view the energy consumption data and solar energy utilization efficiency of the equipment in real time. These data are usually presented in the form of charts or numerical values. For example, it shows that the current energy consumption of the auxiliary heat source equipment is 500 watts, while the solar energy utilization efficiency is 85%. This enables users to clearly understand the operating status and make decisions in time. For example, if users find that the solar energy utilization efficiency is low (such as 70%), it may mean that the sunlight is insufficient or the collector needs to be cleaned. Users can send instructions through the interface to adjust the angle of the solar collector or plan maintenance.

[0061] Based on the real-time energy consumption and solar energy utilization efficiency of the auxiliary heat source equipment, integrated management can be performed with other collaborative working equipment. For example, the smart curtains can automatically adjust the opening and closing according to the external light intensity and indoor temperature; when the sunlight is strong, the curtains automatically open to enhance the collection capacity of the solar collector; and when the indoor temperature reaches the set value, the curtains will close to avoid overheating and energy waste. Through such integration, users can not only grasp the operation status through remote monitoring, but also actively manage and adjust to optimize the overall energy utilization efficiency. Assuming that when the real-time energy consumption is displayed as 700 watts, it is recognized that the external light conditions are ideal, and the smart curtains will be automatically instructed to open to maximize the collection of solar energy, thereby reducing dependence on auxiliary heat source equipment, and ultimately achieving energy conservation and environmental optimization.

[0062] In summary, the beneficial effects of the embodiments of the present application are:

[0063] 1. This application adopts a strategy based on solar collectors and heat storage devices to collect available energy information, set auxiliary heat sources, monitor multiple parameters and configure all-weather heating strategies; the heat storage device is highly efficient in heat preservation and evaluates utilization efficiency; through external temperature analysis, the equipment is automatically adjusted to maximize the efficiency of solar energy utilization, and the coupling heating control of the solar collector and the heat pump system is carried out. The organic combination of solar energy and heat pump systems can still maintain efficient heating in low temperature environments, reduce the problem of low efficiency of traditional single heating methods at low temperatures, and significantly improve the overall heating efficiency of the system; through the dynamic adjustment of the intelligent control module, the working mode is automatically switched according to the changes in ambient temperature and solar energy resources, ensuring stable heating around the clock. Even at night or when solar energy is insufficient, the heat pump system can effectively supplement heating; through real-time monitoring of ambient temperature, load demand and solar energy resources, the system can autonomously adjust the operating status, optimize the collaborative work of solar energy and heat pumps, reduce energy waste, and improve the intelligent level of heating.

[0064] 2. Based on the weather forecast, the predicted heat collection of solar thermal collectors and the predicted load demand of auxiliary heat source equipment are obtained; the heating task of the auxiliary heat source equipment is generated through the predicted heat collection of solar thermal collectors and the predicted load demand of auxiliary heat source equipment; the heating task of the auxiliary heat source equipment is synchronized to the user interface. Through this series of monitoring and decision-making processes, heating can flexibly respond to environmental changes and user needs, ensuring efficient and comfortable indoor heating.

[0065] In summary, any step can be stored as a computer instruction or program in an unlimited computer memory, and can be called and recognized by an unlimited computer processor, and no unnecessary restrictions are made here.

[0066] Furthermore, the above-mentioned technical scheme only reflects the preferred technical scheme of the technical scheme of the embodiment of the present application. Some changes that may be made to some parts thereof by technicians in this technical field all reflect the novel principles of the embodiment of the present application. Obviously, technicians in this field can make various changes and modifications to the present application without departing from the scope of the present application.

Claims

1. A low-temperature and high-efficiency heating method coupling solar energy and a heat pump system, characterized in that: The method comprises: Based on the connection between the solar thermal collector and the heat storage device, first available energy information is collected through the solar energy collection period; According to the solar energy collection period, setting auxiliary heat source equipment and collecting second available energy information; Monitor the outside temperature, the working state of the solar thermal collector and the indoor heating demand, and configure an all-weather auxiliary heating strategy in combination with the first available energy information and the second available energy information, wherein the all-weather auxiliary heating strategy includes a heating priority; The heat storage device is a highly efficient heat-insulating structure, which is used to store heat energy during the solar energy collection period when the solar collector is in operation, and to evaluate the solar energy utilization efficiency; By analyzing the ambient temperature change through the external temperature, the solar collector and the auxiliary heat source equipment are automatically adjusted through the all-weather auxiliary heating strategy, and the coupling heating control of the solar collector and the heat pump system is carried out with the goal of maximizing the solar energy utilization efficiency.

2. The method according to claim 1, characterized in that Based on the connection between the solar thermal collector and the heat storage device, collecting first available energy information through the solar energy collection period, the method further includes: Analyze the heat collection efficiency of the solar collector to determine the optimal heat collection angle and the optimal heat collection area; On the basis of the optimal heat collection angle and the optimal heat collection area, the first available energy information is determined according to the heat collection efficiency and the solar radiation intensity.

3. The method according to claim 2, characterized in that The auxiliary heat source equipment includes any one or more of an air source heat pump unit, a water source heat pump unit, and a ground source heat pump unit associated with the heat pump system.

4. The method according to claim 1, characterized in that The all-weather auxiliary heating strategy includes a heating priority, and the method includes: By using the heating priority, the first available energy information is prioritized and a custom temperature threshold is set; When the indoor temperature does not meet the user-defined temperature threshold, the heat pump system is automatically started, and the auxiliary heat source equipment is used to supplement heat in combination with the indoor heating demand.

5. The method according to claim 4, characterized in that Monitoring the outside temperature, the working state of the solar thermal collector and the indoor heating demand, and configuring an all-weather auxiliary heating strategy in combination with the first available energy information and the second available energy information, the method comprising: Based on the weather forecast, obtaining the predicted collection amount of the solar thermal collector and the predicted load demand of the auxiliary heat source equipment; Generate a heating task for the auxiliary heat source device according to the predicted collected heat of the solar thermal collector and the predicted load demand of the auxiliary heat source device; The heating task of the auxiliary heat source equipment is synchronized to the user interface.

6. The method according to claim 5, characterized in that Synchronizing the heating task of the auxiliary heat source device to a user interface, the method comprising: Based on the custom temperature threshold, obtaining a user comfort score; A user interaction function is provided in the user interface through the user comfort score, and the user interaction function allows the user to adjust the heating priority.

7. The method according to claim 6, characterized in that The user interaction function allows a user to adjust the heating priority, and the method comprises: A comfort rating model is established based on the user comfort rating, and the comfort rating model is used to predict the user's preference under different heating conditions; Based on the comfort rating model, the all-weather auxiliary heating strategy is obtained.

8. The method according to any one of claims 1 to 7, characterized in that The method further comprises: Integrated remote monitoring and control function allows users to remotely access and view the real-time energy consumption and solar energy utilization efficiency of the auxiliary heat source equipment; Based on the real-time energy consumption and solar energy utilization efficiency of the auxiliary heat source equipment, integrated management is performed in conjunction with collaborative working equipment, and the collaborative working equipment includes smart curtains.

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