Cooling and heating system with solar energy storage coupled fuel gas and heat pump

Abstract

The invention relates to the technical field of solar heat utilization and heat pump air conditioners, and discloses a solar energy storage coupling fuel gas and heat pump cooling and heating system which comprises a solar heat collector used for collecting solar energy and converting the solar energy into heat energy; the heat pump is used for realizing refrigerating and heating functions; the gas-fired boiler is used for providing an auxiliary heat source when the solar energy is insufficient; the energy storage device is used for storing redundant energy; the intelligent energy management platform is used for monitoring and optimizing system operation in real time, the solar heat collector is connected with the energy storage device and used for transmitting collected heat energy to the energy storage device to be stored, and the energy storage device is connected with the heat pump and the gas-fired boiler. And by arranging the energy storage device, flexible storage and allocation of cold energy and hot energy are achieved. When the solar energy is sufficient, redundant energy can be stored in the energy storage device, and when the solar energy is insufficient or at night, the energy storage device releases energy to provide auxiliary energy for the heat pump or the gas-fired boiler.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of solar heat utilization and heat pump air conditioning, in particular to a solar energy storage coupled gas and heat pump cooling and heating system. BACKGROUND

[0002] With the increasing global energy demand and the growing awareness of environmental protection, developing efficient and clean energy utilization systems has become a top priority. Among the many renewable energy sources, solar energy has become one of the most promising energy sources due to its widespread distribution and clean and pollution-free characteristics. However, the intermittent and unstable nature of solar energy limits its widespread application in cooling and heating systems. In order to overcome this problem, traditional cooling and heating systems usually use a single energy source (gas or electricity) as the main energy source, but such systems have low energy utilization efficiency, high operating costs, and greater environmental impact.

[0003] In recent years, in order to improve energy utilization efficiency and reduce dependence on traditional fossil fuels, some research has begun to explore the combination of solar energy with other forms of energy in a composite cooling and heating system. For example, a solar energy and heat pump combined system can utilize solar energy to some extent, but when solar energy is insufficient, the system's cooling and heating capacity will be limited. In addition, a simple solar energy and gas boiler combined system can provide auxiliary heat sources at night or on cloudy days, but it lacks effective storage and utilization of excess energy, resulting in energy waste. At the same time, most of these systems lack intelligent control strategies and cannot dynamically adjust the operating state according to real-time energy demand and environmental conditions, thereby affecting the overall performance and economy of the system.

[0004] Therefore, the present application provides a solar energy storage coupled gas and heat pump cooling and heating system to solve the above problems. SUMMARY

[0005] In view of the deficiencies of the prior art, the present application provides a solar energy storage coupled gas and heat pump cooling and heating system, which solves the problem of unstable energy supply in the prior art solar cooling and heating system due to the intermittent and unstable nature of solar energy.

[0006] To achieve the above purpose, the present application realizes the following technical scheme: a solar energy storage coupled gas and heat pump cooling and heating system, comprising:

[0007] a solar collector for collecting solar energy and converting it into heat energy;

[0008] a heat pump for realizing cooling and heating functions;

[0009] a gas boiler for providing auxiliary heat sources when solar energy is insufficient;

[0010] Energy storage devices are used to store excess energy.

[0011] A smart energy management platform is used to monitor and optimize system operation in real time;

[0012] The solar collector is connected to the energy storage device to transfer the collected heat energy to the energy storage device for storage. The energy storage device is connected to the heat pump and the gas boiler respectively to provide energy to the heat pump or the gas boiler when needed. The heat pump and the gas boiler are respectively connected to the intelligent energy management platform. The intelligent energy management platform controls the operating status of the heat pump and the gas boiler according to real-time monitoring data to achieve optimized system operation.

[0013] Through the aforementioned technical solution, by integrating solar collectors, heat pumps, gas boilers, and energy storage devices, and with real-time monitoring and optimized control by an intelligent energy management platform, efficient energy utilization and stable supply are achieved. When sunlight is abundant, the system prioritizes utilizing the heat energy collected by the solar collectors, storing excess energy through the energy storage device for use when solar energy is insufficient. Simultaneously, the heat pumps and gas boilers, as auxiliary equipment, dynamically adjust their operation according to actual demand, ensuring the stability and reliability of cooling and heating supply. Furthermore, the application of the intelligent energy management platform enables the system to automatically optimize the operating strategies of each device based on real-time data and forecast results, improving energy utilization efficiency, reducing operating costs, and minimizing environmental impact, thereby providing users with economical, environmentally friendly, and comfortable cooling and heating services.

[0014] Preferably, the intelligent energy management platform includes an energy quality monitoring module, which is used to monitor the output temperature, temperature fluctuation range, and uniformity of cooling and heating supply of the cooling and heating system in real time, and automatically adjust the power output of each energy device through a feedback mechanism.

[0015] The above technical solution dynamically adjusts the power output of energy equipment such as solar collectors, heat pumps, and gas boilers by monitoring the system's output temperature, temperature fluctuation range, and the uniformity of heating and cooling supply in real time using a feedback mechanism. This not only ensures user comfort but also optimizes energy efficiency, reduces energy waste, and improves the overall performance and reliability of the system by preventing and promptly adjusting for temperature anomalies.

[0016] Preferably, the feedback mechanism calculates the power adjustment amount according to the following formula:

[0017]

[0018] In the formula: K p K i K d These are the proportional, integral, and differential coefficients, respectively, Tset Tset is the set temperature actual Tactual is the actual temperature

[0019] Through the above technical solution, by accurately calculating the power adjustment amount, the automatic adjustment of the power output of each energy device in the cooling and heating system is realized. This mechanism uses proportional, integral and differential coefficients, combines the difference between the set temperature and the actual temperature, dynamically optimizes the energy distribution and temperature control of the system, so as to ensure that the temperature output by the system is stable and uniform, effectively improves the energy utilization efficiency and meets the comfort requirements of users

[0020] Preferably, the intelligent energy management platform includes distributed energy management units, each unit is responsible for managing a specific energy device, and realizes collaborative control through the Internet of Things platform.

[0021] Through the above technical solution, the role of the distributed energy management unit in the intelligent energy management platform is to realize the independent control and management of each energy device in the system, such as solar heat collector, heat pump and gas boiler, etc. Through the interconnection of the Internet of Things platform, these units can cooperate with each other, optimize and adjust according to the overall demand and real-time data of the system, so as to improve the energy utilization efficiency, ensure the stable and reliable operation of the cooling and heating system, and realize the effect of energy saving and emission reduction.

[0022] Preferably, the distributed energy management unit dynamically allocates the power output of each device through the following formula:

[0023]

[0024] In the formula: P i is the power output of the i-th device, P t otal is the total power demand of the system, E i is the energy storage state of the i-th device, and n is the total number of energy devices.

[0025] Through the above technical solution, a method of dynamically allocating power output is provided for the distributed energy management unit, ensuring that each energy device allocates power reasonably according to the total power demand of the system and its own energy storage state. This allocation mechanism optimizes the energy utilization efficiency, so that the energy devices can work cooperatively according to the actual energy demand and storage capacity, thereby improving the operation efficiency and reliability of the entire cooling and heating system.

[0026] Preferably, the intelligent energy management platform includes an adaptive learning and prediction module, which predicts the energy demand and weather changes in the future period of time based on deep learning algorithm, and adjusts the operation strategy of the system in advance.

[0027] Through the above technical solution, the energy demand and weather changes in the future period are accurately predicted through a deep learning algorithm, so as to optimize and adjust the operation strategy of the system in advance, and realize energy scheduling. This module uses historical data and real-time data to train a deep learning model, so that the system can automatically adjust the energy consumption mode according to the prediction result.

[0028] Preferably, the adaptive learning and prediction module realizes prediction through the following formula:

[0029]

[0030] In the formula: is the prediction output, σ is the activation function, W is the weight matrix, X is the input data, and b is the bias vector.

[0031] Through the above technical solution, the energy demand and weather changes are accurately predicted by using a deep learning algorithm. This prediction capability enables the cooling and heating system to adjust the operation strategy in advance according to the prediction result, optimizes energy distribution, improves the adaptability and operation efficiency of the system, and reduces energy consumption and operation cost.

[0032] Preferably, the intelligent energy management platform includes a multi-objective optimization and dynamic scheduling module for dynamically adjusting the working mode of each energy device by comprehensively considering energy utilization efficiency, operation cost, system stability and user comfort.

[0033] Through the above technical solution, by comprehensively evaluating multiple targets such as energy utilization efficiency, operation cost, system stability and user comfort, it is ensured that the system can operate in the optimal way under different environmental and demand conditions. And use advanced optimization algorithm to find the best balance point that meets all targets, so as to improve the energy use efficiency of the whole cooling and heating system, reduce the operation cost, and enhance the system stability.

[0034] Preferably, the multi-objective optimization and dynamic scheduling module realizes optimization through the following formula:

[0035] minF(P)=α·C(P)+β·E(P)+γ·S(P)+δ·U(P)

[0036] In the formula: F(P) is the optimization objective function, C(P) is the operation cost, E(P) is the energy utilization efficiency, S(P) is the system stability, U(P) is the user comfort, and α, β, γ, δ are weight coefficients.

[0037] Through the above technical solution, through comprehensive evaluation of multiple targets such as operation cost, energy utilization efficiency, system stability and user comfort, the operation strategy of the system is dynamically adjusted to find the best balance point among these targets. This module ensures that the system can meet the user's comfort while also efficiently utilizing energy, reducing operation cost and maintaining system stability.

[0038] Preferably, the intelligent energy management platform realizes communication and collaborative control among devices through Internet of Things technology, and dynamically adjusts the operation strategy of the system according to real-time data and prediction results.

[0039] Through the above technical solution, the intelligent energy management platform realizes interconnection among devices through Internet of Things technology, so that each device in the whole cooling and heating system can work collaboratively. The platform can intelligently and dynamically adjust the operation strategy of the system by collecting and analyzing real-time data and prediction information, and optimize energy distribution.

[0040] The application provides a cooling and heating system coupled with solar energy storage, gas and heat pump.

[0041] Has the following beneficial effects:

[0042] 1、The energy storage device is arranged to realize flexible storage and allocation of cold and heat energy. When solar energy is sufficient, the excess energy can be stored in the energy storage device. When solar energy is insufficient or at night, the energy storage device releases energy to provide auxiliary energy for the heat pump or gas boiler, thereby enhancing the adaptability of the system to solar energy fluctuations and improving the stability and reliability of cooling and heating.

[0043] 2、The intelligent energy management platform optimizes the control to realize the collaborative operation of multiple energy devices. The platform dynamically adjusts the operation state of the solar energy collector, heat pump and gas boiler according to real-time monitoring data and prediction results, and optimizes the power output of each device. This intelligent control strategy not only improves the energy utilization efficiency and reduces the operation cost, but also improves the overall performance of the system, so that it can better meet the cooling and heating demand of users. BRIEF DESCRIPTION OF DRAWINGS

[0044] Figure 1 The overall operation flowchart of the application is shown in the figure;

[0045] Figure 2 The energy quality monitoring and adjustment flowchart of the intelligent energy management platform of the application is shown in the figure;

[0046] Figure 3 The power distribution flowchart of the distributed energy management unit of the application is shown in the figure. DETAILED DESCRIPTION

[0047] The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the specification of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative work fall within the scope of protection of the present application.

[0048] Please refer to the drawings in the specification of the present application Figure 1 - the drawings in the specification of the present application Figure 3 The embodiments of the present application provide a solar energy storage coupled gas and heat pump cooling and heating system, which comprises:

[0049] Solar collector, for collecting solar energy and converting it into heat energy;

[0050] Specifically, the solar collector is one of the core components of the system, and its main function is to collect solar energy and convert it into heat energy. The specific technical features are as follows:

[0051] High-efficiency heat collection technology: high-efficiency solar heat collection technology such as flat plate collector or vacuum tube collector is adopted, which can maximize the absorption of solar energy and convert it into heat energy.

[0052] Heat energy output: the collected heat energy is transferred to other components in the system, such as energy storage device or heat pump, through heat conduction medium (water or antifreeze).

[0053] Intelligent control: connected with intelligent energy management platform, dynamically adjusts the working state of the collector according to real-time monitoring data, to ensure efficient operation under different sunlight conditions.

[0054] Heat pump, for realizing cooling and heating functions;

[0055] Specifically, the main technical features of the heat pump are as follows:

[0056] Cooling and heating functions: the heat pump can absorb heat from a low-temperature heat source and release it to a high-temperature heat source in cooling mode, and absorb heat from a high-temperature heat source and release it to a low-temperature heat source in heating mode, realizing the dual functions of cooling and heating.

[0057] Efficient operation: high-efficiency compressor and heat exchanger are adopted to ensure efficient operation of the heat pump under different working conditions.

[0058] Intelligent control: connected with intelligent energy management platform, dynamically adjusts the running state of the heat pump according to real-time monitoring data, optimizes power output, and improves energy utilization efficiency.

[0059] Gas boiler, for providing auxiliary heat source when solar energy is insufficient;

[0060] Specifically, the gas boiler serves as an auxiliary heat source to provide a stable heat source when solar energy is insufficient. Its main technical features are as follows:

[0061] Auxiliary heat source: When solar energy is insufficient or at night, the gas boiler starts to provide auxiliary heat source, ensuring the heating capacity of the system is not affected.

[0062] High-efficiency combustion technology: High-efficiency combustion technology is adopted to ensure that the gas boiler can provide heat energy efficiently and stably during operation.

[0063] Intelligent control: Connected with the intelligent energy management platform, dynamically adjusts the operation state of the gas boiler according to real-time monitoring data, optimizes power output, and reduces operation cost.

[0064] Energy storage device for storing excess energy;

[0065] Specifically, the energy storage device is used to store excess energy to cope with the intermittency and instability of solar energy. Its main technical features are as follows:

[0066] Energy storage: High-efficiency energy storage technology such as heat storage water tank or phase change material is adopted to store excess heat energy generated by solar collectors when sunlight is sufficient.

[0067] Energy release: When solar energy is insufficient or at night, the energy storage device releases stored energy to provide auxiliary energy for the heat pump or gas boiler, ensuring the stable operation of the system.

[0068] Intelligent control: Connected with the intelligent energy management platform, dynamically adjusts the charging and discharging state of the energy storage device according to real-time monitoring data, optimizes energy management.

[0069] Intelligent energy management platform for real-time monitoring and optimization of system operation;

[0070] The intelligent energy management platform includes an energy quality monitoring module for real-time monitoring of the output temperature, temperature fluctuation range and cold and heat supply uniformity of the cooling and heating system, and automatically adjusting the power output of each energy device through a feedback mechanism.

[0071] The feedback mechanism calculates the power adjustment amount according to the following formula:

[0072]

[0073] Where: K p , K i , K d are the proportional, integral and differential coefficients, T set is the set temperature, and T actual is the actual temperature.

[0074] Specifically, the intelligent energy management platform includes an energy quality monitoring module, which is responsible for real-time monitoring of the output temperature, temperature fluctuation range, and uniformity of cold and heat supply of the cooling and heating system. Through these monitoring data, the system can assess whether the current energy output meets the preset standards. In addition, the intelligent platform also has a feedback mechanism that can automatically adjust the power output of energy equipment based on monitoring results. This adjustment is to ensure that the system can dynamically optimize its performance according to actual demand and environmental changes, thereby improving energy utilization efficiency and system stability. In short, this intelligent energy management platform improves the intelligent level and operating efficiency of the entire cooling and heating system through real-time monitoring and automatic adjustment

[0075] The intelligent energy management platform includes distributed energy management units, each responsible for managing a specific energy device and achieving collaborative control through the Internet of Things platform.

[0076] Specifically, the intelligent energy management platform achieves fine-grained management of each energy device in the system by adopting distributed energy management units. Each distributed energy management unit is responsible for monitoring and controlling a specific energy device, such as a solar collector, heat pump, or gas boiler. This design allows the system to implement customized control strategies for each device to adapt to different operating conditions and requirements.

[0077] Further, these distributed energy management units are connected through the Internet of Things platform, achieving real-time sharing of information and collaborative control. This collaborative control mechanism means that each unit can dynamically adjust its operating parameters based on the overall operating state and energy demand of the system to achieve optimal operation of the entire system. For example, when the solar collector produces excess heat energy, the system can automatically transfer the excess energy to the energy storage device for storage, or adjust the operating mode of the heat pump to utilize this heat energy. Conversely, when solar energy is insufficient, the system can intelligently start the gas boiler to supplement the heat energy while using the stored energy in the energy storage device to meet the heating demand.

[0078] In addition, the intelligent energy management platform also includes an energy quality monitoring module that monitors the output temperature, temperature fluctuation range, and uniformity of cold and heat supply of the cooling and heating system in real time, and automatically adjusts the power output of each energy device through a feedback mechanism. This real-time monitoring and automatic adjustment capability ensures that the system output quality always meets user demand, improving system reliability and user satisfaction.

[0079] Through the combination of distributed management and collaborative control, the intelligent energy management platform not only improves energy utilization efficiency, but also enhances the flexibility and adaptability of the system, enabling it to better cope with different energy demands and environmental changes.

[0080] The solar collector is connected with the energy storage device, and is used to transmit the collected heat energy to the energy storage device for storage. The energy storage device is connected with the heat pump and the gas boiler respectively, and is used to provide energy to the heat pump or the gas boiler when needed. The heat pump and the gas boiler are connected with the intelligent energy management platform respectively. The intelligent energy management platform controls the running state of the heat pump and the gas boiler according to real-time monitoring data, so as to realize the optimized operation of the system.

[0081] The distributed energy management unit dynamically allocates the power output of each device by the following formula:

[0082]

[0083] In the formula, P i is the power output of the i-th device, P t otal is the total power demand of the system, E i is the energy storage state of the i-th device, and n is the total number of energy devices.

[0084] The intelligent energy management platform includes an adaptive learning and prediction module. The adaptive learning and prediction module predicts the energy demand and weather changes in the future period of time based on a deep learning algorithm, and adjusts the operation strategy of the system in advance.

[0085] The adaptive learning and prediction module realizes prediction by the following formula:

[0086]

[0087] In the formula: is the predicted output, σ is the activation function, W is the weight matrix, X is the input data, and b is the bias vector.

[0088] The intelligent energy management platform includes a multi-objective optimization and dynamic scheduling module, which is used to comprehensively consider the energy utilization efficiency, operation cost, system stability and user comfort, and dynamically adjust the working mode of each energy device.

[0089] The multi-objective optimization and dynamic scheduling module realizes optimization by the following formula:

[0090] minF(P)=α·C(P)+β·E(P)+γ·S(P)+δ·U(P)

[0091] In the formula, F(P) is the optimization objective function, C(P) is the operation cost, E(P) is the energy utilization efficiency, S(P) is the system stability, U(P) is the user comfort, and α, β, γ, δ are weight coefficients.

[0092] The intelligent energy management platform realizes communication and collaborative control among devices through Internet of Things technology, and dynamically adjusts the operation strategy of the system according to real-time data and prediction results.

[0093] In particular, the intelligent energy management platform enables communication and collaborative control among devices through Internet of Things technology, and dynamically adjusts the operation strategy of the system according to real-time data and prediction results. This platform includes a heterogeneous data fusion module, a time series prediction module, a user behavior analysis module, an energy pattern recognition module, a fault prediction and maintenance module, an energy optimization scheduling module, a strategy evaluation and feedback module, a continuous improvement and update module. These modules work together to significantly improve the efficiency and intelligence level of energy management through advanced data processing technology and algorithms, bringing revolutionary improvements to modern energy management. The energy optimization scheduling module, the strategy evaluation and feedback module, and the continuous improvement and update module ensure the continuous optimization and adaptability of the platform strategy. The energy optimization scheduling module combines multi-objective optimization strategies and reinforcement learning methods, enabling the platform to dynamically adjust and optimize overall efficiency and performance. The strategy evaluation and feedback module evaluates the effectiveness of strategy execution through simulation technology and effectiveness evaluation methods, collects user and platform feedback, and continuously improves and updates the module based on this feedback and user energy behavior insight datasets using data-driven methods for energy analysis to respond to the latest energy demands and user preferences.

[0094] Although embodiments of the present application have been shown and described, it is to be understood that various modifications, substitutions, replacements and changes can be made to these embodiments without departing from the principles and spirit of the present application, and the scope of the present application is defined by the appended claims and their equivalents.

Claims

1. A solar energy and energy storage coupled gas and heat pump cooling and heating system, characterized in that, Comprising: a solar collector for collecting solar energy and converting it into thermal energy; a heat pump for realizing refrigeration and heating functions; a gas boiler for providing an auxiliary heat source when solar energy is insufficient; an energy storage device for storing excess energy; an intelligent energy management platform for real-time monitoring and optimization of system operation; wherein the solar collector is connected to the energy storage device for transferring the collected thermal energy to the energy storage device for storage, the energy storage device is connected to the heat pump and the gas boiler respectively for providing energy to the heat pump or the gas boiler when needed, and the heat pump and the gas boiler are connected to the intelligent energy management platform, which controls the operating state of the heat pump and the gas boiler according to real-time monitoring data to realize the optimized operation of the system.

2. The solar energy storage coupled gas and heat pump cooling and heating system according to claim 1, characterized in that, The intelligent energy management platform includes an energy quality monitoring module for real-time monitoring of the output temperature, temperature fluctuation range and cold and heat supply uniformity of the cooling and heating system, and automatically adjusting the power output of each energy device through a feedback mechanism.

3. The solar energy storage and gas and heat pump coupled cooling and heating system according to claim 2, characterized in that, The feedback mechanism calculates the power adjustment amount according to the following formula: In the formula: K p K i K d These are the proportional, integral, and differential coefficients, respectively, T set To set the temperature, T actual This is the actual temperature.

4. The solar energy storage system coupled with gas and heat pump for cooling and heating according to claim 1, characterized in that, The intelligent energy management platform includes a distributed energy management unit, each unit is responsible for managing a specific energy device, and realizes collaborative control through an Internet of Things platform.

5. The solar energy storage and gas and heat pump coupled cooling and heating system according to claim 4, characterized in that, The distributed energy management unit dynamically allocates the power output of each device through the following formula: where: P i is the power output of the ith device, P t otal is the total power demand of the system, E i is the state of energy storage of the ith device, and n is the total number of energy devices.

6. The solar energy storage system coupled with gas and heat pump for cooling and heating according to claim 4, characterized in that, The intelligent energy management platform includes an adaptive learning and prediction module, which predicts future energy demand and weather changes for a period of time based on deep learning algorithms and adjusts the system's operating strategy in advance.

7. The solar energy and heat supply and heat pump system according to claim 6, characterized in that, The adaptive learning and prediction module realizes prediction through the following formula: In the formula: For the prediction output, σ is an activation function, W is a weight matrix, X is input data, and b is a bias vector.

8. The system according to claim 1, wherein, The intelligent energy management platform includes a multi-objective optimization and dynamic scheduling module, which comprehensively considers energy utilization efficiency, operating cost, system stability and user comfort to dynamically adjust the working mode of each energy device.

9. The solar energy and heat supply and heat pump system according to claim 8, characterized in that, The multi-objective optimization and dynamic scheduling module realizes optimization through the following formula: min F(P) = α·C(P) + β·E(P) + γ·S(P) + δ·U(P) Where: F(P) is the optimization objective function, C(P) is the operating cost, E(P) is the energy utilization efficiency, S(P) is the system stability, U(P) is the user comfort, and α, β, γ, δ are weight coefficients.

10. The solar energy and heat supply and heat pump system according to claim 1, characterized in that, The intelligent energy management platform realizes communication and collaborative control between devices through Internet of Things technology, and dynamically adjusts the operating strategy of the system according to real-time data and prediction results.

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