Solid heat storage system and method for dynamic adaptation and multi-level feedback control

Abstract

The invention discloses a dynamic adaptation and multi-level feedback control solid heat storage system and method.The system comprises a heat storage unit, a feedback control system, a self-adaptation control module and a dynamic flow adjusting device, the heat storage unit is connected with the feedback control system and the self-adaptation control module, the self-adaptation control module is connected with the feedback control system, and the dynamic flow adjusting device is connected with the feedback control system. The dynamic flow adjusting device is arranged on the heat storage unit and connected with the feedback control system and the self-adaptive control module. The heat storage unit comprises a plurality of subareas, and a plurality of heat storage modules which are connected in series and in parallel are arranged in each subarea; the feedback control system comprises a multi-point sensor and is used for monitoring temperature and flow data of each subarea; the self-adaptive control module is used for dynamically adjusting the flow and the temperature of each partition in the heat storage unit by utilizing a multi-level feedback algorithm based on real-time data of the feedback control system; the dynamic flow adjusting device is used for adjusting flow distribution of all the subareas in the heat storage unit according to the load requirement.

Description

Technical Field

[0001] The present invention belongs to the technical field of energy storage, and in particular relates to a solid heat storage system and method with dynamic adaptation and multi-level feedback control. Background Art

[0002] Solid heat storage technology has the advantages of high heat storage temperature, high energy storage density, and various forms of external heat output; it can provide hot air, high-temperature steam and hot water, and can also meet the heat needs of multiple industrial and civil fields. Therefore, existing solid heat storage systems are widely used in solar thermal power generation and industrial waste heat utilization. However, traditional heat storage systems usually lack flexible heat storage module configuration and regulation capabilities, and cannot achieve dynamic regulation during heat storage and heat release. The typical fixed parallel or series structure limits the system's adaptability to external load fluctuations, which can easily lead to problems such as uneven heat release and delayed response, especially when the load fluctuates violently, affecting the system's operating efficiency and stability.

[0003] There is an urgent need for a design and operation method for a solid heat storage system that combines dynamic regulation and multi-level feedback control, can adapt to complex external load fluctuations, and achieve a continuous, stable, and efficient heat storage and release process. Summary of the invention

[0004] The purpose of the present invention is to overcome the problem that traditional heat storage systems cannot adapt to external complex load fluctuations, and propose a solid heat storage system and method with dynamic adaptation and multi-level feedback control.

[0005] In order to achieve the above object, the present invention adopts the following technical scheme: In a first aspect, the present invention provides a solid heat storage system with dynamic adaptation and multi-level feedback control, comprising a heat storage unit, a feedback control system, an adaptive control module and a dynamic flow regulating device, wherein the heat storage unit is connected to the feedback control system and the adaptive control module respectively, the adaptive control module is connected to the feedback control system, the dynamic flow regulating device is arranged on the heat storage unit, and the dynamic flow regulating device is connected to the feedback control system and the adaptive control module; The heat storage unit includes a plurality of partitions, each of which is provided with a plurality of heat storage modules connected in series and parallel for absorbing and storing heat; The feedback control system includes multiple point sensors for monitoring the temperature and flow data of each partition; The adaptive control module is used to dynamically adjust the flow and temperature of each partition in the heat storage unit based on the real-time data of the feedback control system using a multi-level feedback algorithm; The dynamic flow regulating device is used to adjust the flow distribution of each partition in the heat storage unit according to load demand.

[0006] Furthermore, the adaptive control module includes a load prediction module for predicting load fluctuations and adjusting the priority of each partition before heat storage or heat release based on external meteorological data, user historical load data and external data sources.

[0007] Furthermore, the multi-level dynamic feedback algorithm is set based on fuzzy logic control or machine learning algorithm.

[0008] Furthermore, each partition of the heat storage unit is modularly configured, and the heat storage capacity of the heat storage unit is expanded in the following ways: increasing the number of partitions, reducing the number of partitions, or replacing the heat storage modules inside the partitions.

[0009] Furthermore, the dynamic flow regulating device includes a flow control valve and a variable frequency pump, and the flow of each partition in the heat storage unit is regulated by a feedback control signal of a feedback control system.

[0010] Furthermore, the dynamic flow regulating device also includes a temperature control feedback loop for monitoring the outlet temperature of each partition in the heat storage unit.

[0011] Furthermore, the feedback control system includes a temperature sensor and a flow sensor. The temperature sensor is used to collect temperature data of each partition in the heat storage unit, and the flow sensor is used to collect flow data of each partition in the heat storage unit.

[0012] Furthermore, the feedback control system also includes a data processing module for receiving and analyzing data from the temperature sensor and data from the flow sensor, and providing a feedback signal to the adaptive control module.

[0013] Furthermore, the feedback control system also includes an abnormality detection and processing module, which activates an automatic feedback control mechanism to adjust the flow and temperature to return to normal when abnormal fluctuations in temperature or flow are detected.

[0014] In a second aspect, the present invention provides a method for operating a solid thermal storage system with dynamic adaptation and multi-level feedback control, comprising the following steps: The heat storage process includes opening the flow control valves of all partitions at the heat storage startup stage, and the temperature of the partition or module that enters first rises first, and the temperature of the partition or module that enters later rises second. When the temperature of a partition or module reaches the set threshold, the flow control valves of some partitions are gradually closed to reduce the inlet flow of this partition or module. Then, other running partitions adjust the flow control valves to redistribute the flow and evenly absorb heat. The heat release process includes gradually opening the flow control valves of the partitions according to the load demand at the beginning of heat release, and gradually closing the flow control valves of some partitions when the temperature of a partition or module drops to the set threshold, reducing the inlet flow of this partition or module, and then redistributing the flow of other running partitions by adjusting the flow control valves, thereby extending the heat release time and releasing heat stably.

[0015] Compared with the prior art, the present invention has the following beneficial technical effects: The present invention proposes a solid heat storage system and method with dynamic adaptation and multi-level feedback control. The solid heat storage system design with both dynamic regulation and multi-level feedback control can adapt to complex external load fluctuations and realize continuous, stable and efficient heat storage and release processes. It is suitable for large-scale solid heat storage systems. Adaptive regulation is achieved through multi-level feedback control and dynamic flow regulation. According to real-time load demand and temperature gradient changes, the configuration of heat storage units and pipe sections is dynamically adjusted to ensure uniform and stable heat storage and release processes.

[0016] Furthermore, the system adopts a multi-point sensor monitoring and feedback mechanism to obtain real-time partition and pipe section temperature data, and combines adaptive algorithms to accurately control flow and temperature, ensuring that the system achieves optimal heat management during heat storage and release. Through intelligent parallel connection of partitions, segmented series-parallel configuration and multi-layer feedback control, the system can flexibly adjust the start and stop and flow distribution of partitions when the load fluctuates, optimize system performance, and extend the heat release time, which is suitable for heat storage needs with complex load fluctuations.

[0017] Furthermore, through the multi-level feedback control and adaptive algorithm of the present invention, the heat storage system can achieve precise regulation under load fluctuation conditions, significantly improving the operating efficiency and system stability during the heat storage and heat release process. The dynamic startup and shutdown strategy of partitions and pipe sections ensures the rapid response of the system and avoids local overheating or uneven heat output. Compared with traditional fixed heat storage and heat release systems, the present invention can accurately adjust the flow rate through multivariable control and feedback mechanisms while maintaining a constant total flow rate to achieve uniform heat transfer. By optimizing the distribution, heat absorption and release efficiency of the heat storage unit, the scalability of the system has also been greatly improved, and the heat storage capacity can be easily expanded by adding partitions or parallel pipe sections without making major changes to the existing system structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] The drawings described herein are for explanation purposes only and are not intended to limit the scope of the present invention in any way. In addition, the shapes and proportional dimensions of the components in the drawings are only for illustration purposes to help understand the present invention, and are not intended to specifically limit the shapes and proportional dimensions of the components of the present invention. In the drawings: Figure 1This is a simplified structural diagram of a solid heat storage system with dynamic adaptation and multi-level feedback control.

[0019] Among them, 1 is a heat storage unit, 2 is a feedback control system, 3 is an adaptive control module, and 4 is a dynamic flow regulating device. DETAILED DESCRIPTION

[0020] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0021] It should be noted that when an element is referred to as being "disposed on" another element, it may be directly on the other element or there may be a central element. When an element is considered to be "connected to" another element, it may be directly connected to the other element or there may be a central element at the same time. The terms "vertical", "horizontal", "left", "right" and similar expressions used herein are for illustrative purposes only and are not intended to be the only embodiment.

[0022] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0023] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0024] Embodiment 1 See also Figure 1A solid heat storage system with dynamic adaptation and multi-level feedback control includes a heat storage unit 1, a feedback control system 2, an adaptive control module 3 and a dynamic flow regulating device 4. The heat storage unit 1 is connected to the feedback control system 2 and the adaptive control module 3 respectively, the adaptive control module 3 is connected to the feedback control system 2, and the dynamic flow regulating device 4 is arranged on the heat storage unit 1, and the dynamic flow regulating device 4 is connected to the feedback control system 2 and the adaptive control module 3; the heat storage unit 1 includes a plurality of partitions, each of which is provided with a plurality of heat storage modules connected in series and parallel for absorbing and storing heat; the feedback control system 2 includes a multi-point sensor for monitoring the temperature and flow data of each partition; the adaptive control module 3 is used to dynamically adjust the flow and temperature of each partition in the heat storage unit 1 based on the real-time data of the feedback control system 2 by using a multi-level feedback algorithm; the dynamic flow regulating device 4 is used to adjust the flow distribution of each partition in the heat storage unit 1 according to the load demand.

[0025] Intelligent prediction and adaptive control, combined with multivariable models and meteorological data, predict load changes in advance to ensure smooth operation of the system. Multi-level feedback control and dynamic flow regulation enable precise control of temperature, flow and load, reducing overheating or uneven cooling. Through the partition setting and series-parallel connection of heat storage modules, the system can absorb and store heat more effectively, improving the heat storage efficiency. The adaptive control module uses real-time data to dynamically adjust the flow and temperature of each partition to ensure uniform heat distribution, avoid local overheating or overcooling, and thus improve the efficiency of overall energy management. The dynamic flow regulation device can adjust the flow distribution of each partition in real time according to the load demand, and can quickly respond to changes in external conditions, such as weather changes or fluctuations in energy demand. This flexibility enables the system to provide stable heat output in different time periods or seasons to meet diverse energy needs. The feedback control system monitors the temperature and flow data of each partition in real time through multi-point sensors, providing an accurate information basis for the adaptive control module. The adaptive control module uses this data to make intelligent decisions through a multi-level feedback algorithm to achieve automatic control of the system. This reduces the need for manual intervention and improves the reliability and stability of the system. By precisely controlling the heat distribution and flow distribution in the thermal storage unit, the system can use energy more efficiently and reduce unnecessary energy waste. The system's partition setting and modular design make it easy to expand and upgrade. As energy demand grows or technology develops, it is easy to add thermal storage modules or improve the control system. This modular design also makes system maintenance and repair simpler and more efficient, reducing operating costs.

[0026] A multi-point sensor is a sensor device that can measure physical quantities at multiple points at the same time. It can accurately measure physical quantities by collecting data from multiple sensors and transmit the measurement results to external devices to monitor and control the environment and object status. A multi-point sensor contains multiple sensors of different or the same type, such as temperature sensors, humidity sensors, pressure sensors, etc. These sensors sense various physical quantities of the environment or objects and convert them into electrical signals. The electrical signals collected by the sensors are converted into digital signals by the analog-to-digital (A / D) converter inside the multi-point sensor, and then processed by the processing circuit for signal amplification, filtering, etc. to improve the accuracy and reliability of the measurement. Multi-point sensors provide a unified output interface and data format, simplifying the design and development process of the system. Multi-point sensors can monitor physical quantities at multiple points in real time, improving monitoring efficiency and accuracy. Using advanced measurement technology and algorithms, multi-point sensors can achieve high-precision physical quantity measurement. Multi-point sensors support the expansion of multiple sensor nodes, which is convenient for flexible configuration according to actual needs. Multi-point sensors integrate multiple sensors inside, reducing the number of sensors and the hardware cost used.

[0027] The adaptive control module 3 includes a load forecasting module, which is used to predict load fluctuations and adjust the priority of each partition before heat storage or heat release based on external meteorological data, user historical load data and external data sources. The multi-level dynamic feedback algorithm is set based on fuzzy logic control or machine learning algorithm.

[0028] The multi-level dynamic feedback algorithm is an algorithm that combines a multi-level structure with a dynamic feedback mechanism. It achieves real-time monitoring and dynamic adjustment of the system state by setting feedback control loops at different levels, thereby optimizing the performance and stability of the system. The algorithm divides the system into multiple levels, each of which is responsible for different tasks and functions. The high level is responsible for global decision-making and control, while the low level is responsible for specific execution and feedback. At each level, the algorithm sets up feedback control loops. These loops can monitor the system state in real time and dynamically adjust the control strategy according to the changes in the state.

[0029] Partition priority sorting and dynamic start-stop mechanism adjust partition start-stop according to real-time thermal parameters to optimize thermal management.

[0030] The load forecasting module can accurately predict load fluctuations, allowing the system to adjust the priority of each partition in advance to optimize the heat storage or release strategy. This helps to reduce unnecessary energy waste and improve overall energy efficiency. By accurately predicting the load, the system can reserve enough thermal energy before the load peak or release thermal energy when the load is low, thereby using energy more efficiently. Accurate load forecasting helps to avoid excessive or insufficient energy supply, thereby reducing energy procurement and storage costs. By optimizing energy use, energy consumption and related operation and maintenance costs can be reduced. The load forecasting module can cope with the unpredictability of external meteorological conditions and user behavior, and stabilize the system load by adjusting priorities in advance. The multi-level dynamic feedback algorithm can adjust system parameters in real time to cope with load fluctuations, thereby enhancing the overall stability of the system. By optimizing energy distribution and adjusting the priority of each partition, the system can ensure a stable energy supply during load peaks, thereby improving user comfort and satisfaction. Accurate load forecasting and intelligent adjustment also help reduce the risk of energy interruptions.

[0031] Each partition of the heat storage unit 1 is modularly configured, and the heat storage capacity of the heat storage unit 1 can be expanded by increasing the number of partitions, reducing the number of partitions, or replacing the heat storage module inside the partition.

[0032] The modular design allows the thermal storage unit to be flexibly adjusted according to actual needs. When the thermal storage capacity needs to be increased, only new partitions or modules need to be added; conversely, if the thermal storage demand decreases, the partitions or modules can be reduced. This flexibility allows the system to adapt to different application scenarios and energy needs. As technology develops or user needs change, the system can be easily upgraded or modified to meet higher performance requirements. The modular design allows each partition or module to be maintained and upgraded independently without affecting the operation of the entire system. This reduces maintenance costs and improves the reliability and availability of the system. In the event of a fault, the faulty module can be quickly located and replaced, thereby shortening the repair time and reducing downtime losses. By adjusting the number of partitions and the configuration of the internal thermal storage modules, the energy distribution and storage strategy can be optimized. For example, during peak load periods, more thermal energy can be stored and used to meet peak demand; while during low load periods, less thermal storage can be used to reduce costs. This optimization helps improve overall energy efficiency and reduce unnecessary energy waste. The modular design allows users to customize the configuration according to actual needs and budget. This helps reduce initial investment costs and makes the system more cost-effective. As the thermal storage capacity increases or decreases, users can adjust the investment scale accordingly to achieve the best cost-benefit ratio.

[0033] The dynamic flow regulating device 4 includes a flow control valve and a variable frequency pump, and regulates the flow of each partition in the heat storage unit 1 through the feedback control signal of the feedback control system 2. The dynamic flow regulating device 4 also includes a temperature control feedback loop for monitoring the outlet temperature of each partition in the heat storage unit 1.

[0034] The dynamic flow regulating device 4 can accurately adjust the flow of each partition in the heat storage unit 1 according to the signal of the feedback control system 2 through the flow control valve and the variable frequency pump. This precise control helps to ensure that each partition can obtain the required water flow, thereby maintaining a stable heat exchange efficiency. The temperature control feedback loop can monitor the outlet temperature of each partition in the heat storage unit 1 in real time to ensure that the temperature remains within the set range. This helps to prevent overheating or overcooling and improve the stability and safety of the system. By accurately controlling the flow and temperature, the dynamic flow regulating device 4 can optimize the transfer and storage process of thermal energy and reduce unnecessary energy waste. This helps to improve the energy efficiency of the entire system and reduce operating costs. The modular design and flexible control strategy of the dynamic flow regulating device 4 enable the system to be quickly adjusted according to actual needs. For example, during peak load periods, the flow can be increased to meet higher heat demands; while during low load periods, the flow can be reduced to reduce costs. By accurately controlling the flow and temperature, the dynamic flow regulating device 4 can reduce the thermal and mechanical stresses inside each partition in the heat storage unit 1, thereby extending the service life of the equipment.

[0035] The feedback control system 2 includes a temperature sensor and a flow sensor. The temperature sensor is used to collect temperature data of each partition in the heat storage unit 1, and the flow sensor is used to collect flow data of each partition in the heat storage unit 1. The feedback control system 2 also includes a data processing module, which is used to receive and analyze the data of the temperature sensor and the data of the flow sensor, and provide a feedback signal to the adaptive control module 3. The feedback control system 2 also includes an abnormality detection and processing module. When abnormal fluctuations in temperature or flow are detected, the automatic feedback control mechanism is activated to adjust the flow and temperature to return to normal.

[0036] The temperature sensor and flow sensor can collect the temperature and flow data of each partition in the heat storage unit 1 in real time, ensuring that the system can understand the operating status of each partition in time. The data processing module can receive and analyze these data, and provide accurate feedback signals for the adaptive control module 3, so as to achieve precise control. By real-time monitoring of temperature and flow, the system can detect and respond to potential abnormal situations in time, thereby avoiding system crashes or failures. The abnormal detection and processing module can quickly start the automatic feedback control mechanism when abnormal fluctuations in temperature or flow are detected, adjust the flow and temperature, restore the system to a normal state, and enhance the stability of the system. Accurate temperature and flow data help the system optimize the transfer and storage process of thermal energy and reduce unnecessary energy waste. Through data analysis, the system can identify partitions with low energy utilization efficiency and take corresponding adjustment measures to improve the overall energy utilization efficiency. Real-time monitoring of temperature and flow helps to detect potential problems such as overheating and overloading of equipment in time, so as to take preventive measures to avoid equipment damage. By optimizing flow and temperature control, thermal stress and mechanical stress inside the equipment can be reduced and the service life of the equipment can be extended.

[0037] Dynamic adjustment capability of this embodiment: Through the dynamic flow adjustment device 4, the system can adjust the flow distribution of each partition in real time according to the load demand to ensure the effective transfer and storage of heat. The adaptive control module 3 uses a multi-level feedback algorithm to dynamically adjust the flow and temperature of each partition in the heat storage unit 1 based on the real-time data of the feedback control system 2, thereby improving the flexibility and response speed of the system.

[0038] The modular design of this embodiment: Each partition of the heat storage unit 1 is modularly configured to facilitate system expansion and upgrade. By adding, reducing or replacing the heat storage modules inside the partition, the heat storage capacity can be flexibly adjusted to meet different application requirements.

[0039] Optimized heat transfer in this embodiment: The system optimizes the heat transfer process and reduces heat loss and waste through precise temperature and flow control. The synergy between the dynamic flow regulating device 4 and the adaptive control module 3 ensures efficient use of heat.

[0040] Load prediction and regulation in this embodiment: The load prediction module in the adaptive control module 3 can predict load fluctuations based on external meteorological data, user historical load data and external data sources, and adjust the priority of each partition before heat storage or heat release. This prediction and regulation mechanism helps the system to prepare in advance, avoid excessive or insufficient heat storage, and further improve energy utilization efficiency.

[0041] Real-time monitoring and abnormality handling of this embodiment: The temperature sensor and flow sensor in the feedback control system 2 can monitor the temperature and flow data of each partition in real time to ensure the stability and safety of the system operation. When abnormal fluctuations in temperature or flow are detected, the abnormality detection and processing module will start the automatic feedback control mechanism to adjust the flow and temperature back to normal to prevent system failure or damage.

[0042] Multiple protection mechanisms of this embodiment: The system can also be equipped with other protection mechanisms, such as high temperature protection, pressure protection, etc., to ensure the safe operation of the system under extreme conditions.

[0043] Intelligent management of this embodiment: The system can realize intelligent management and control of the heat storage process by integrating intelligent technologies, such as fuzzy logic control, machine learning algorithms, etc. Users can understand the operating status and performance data of the system in real time through remote monitoring and control systems, and perform remote adjustments and maintenance.

[0044] Maintenance of this embodiment: The modular design and easy expansion of the system make the maintenance and upgrade of the system simpler and more convenient. Users can add or replace components such as heat storage modules or sensors at any time as needed to ensure the long-term stable operation of the system.

[0045] Embodiment 2 A method for operating a solid heat storage system with dynamic adaptation and multi-level feedback control comprises the following steps: The heat storage process includes opening the flow control valves of all partitions at the heat storage startup stage, and the temperature of the partition or module that enters first rises first, and the temperature of the partition or module that enters later rises second. When the temperature of a partition or module reaches the set threshold, the flow control valves of some partitions are gradually closed to reduce the inlet flow of this partition or module. Then, other running partitions adjust the flow control valves to redistribute the flow and evenly absorb heat. The heat release process includes gradually opening the flow control valves of the partitions according to the load demand at the beginning of heat release, and gradually closing the flow control valves of some partitions when the temperature of a partition or module drops to the set threshold, reducing the inlet flow of this partition or module, and then other running partitions adjust the flow control valves to redistribute the flow, extend the heat release time, and release heat stably. This method significantly improves the response accuracy in the heat storage and heat release process through flexible design and multivariable control means, extends the system heat release time, optimizes the overall performance, and is suitable for heat storage needs with complex load fluctuations.

[0046] Embodiment 3 This embodiment provides a solid heat storage system with dynamic adaptation and multi-level feedback control, including: The heat storage unit is divided into a plurality of modular partitions, each of which is provided with a plurality of heat storage modules connected in series and parallel for absorbing and storing heat; The feedback control system includes multiple point sensors to monitor temperature and flow data in each zone; An adaptive control module dynamically adjusts the flow and temperature of each partition through a multi-level feedback algorithm based on real-time data of the feedback control system; The dynamic flow regulating device adjusts the flow distribution of each partition according to the load demand to ensure uniform heat release during the heat storage and release process.

[0047] The system of this embodiment realizes precise heat management under complex load conditions through modular heat storage unit design, multi-level feedback control and adaptive algorithm. The system includes a heat storage unit, a feedback control system, an adaptive control module and a dynamic flow regulation device, which can dynamically adjust the flow distribution and temperature according to the real-time load demand to ensure the stability and uniformity of the heat storage and heat release process. The heat storage stage adopts a control strategy of first opening all and then gradually closing, and the heat release stage adopts a strategy of gradually opening and gradually closing to extend the heat release time and improve the stability and response speed of the system. The invention significantly improves the adaptability and scalability of the heat storage system, and is suitable for heat storage needs with complex load fluctuations in scenarios such as solar thermal power generation and industrial waste heat recovery.

[0048] The adaptive control module includes a load forecasting module, which is used to predict load fluctuations and adjust partition priorities before heat storage and release based on external meteorological data, user historical load data and other external data sources.

[0049] The adaptive control module adjusts the flow and temperature of the partitions in real time through a dynamic feedback algorithm based on fuzzy logic control or machine learning algorithm to further improve the adaptability of the system.

[0050] Adaptive learning algorithm and dynamic adjustment of zone temperature adjust flow distribution according to the temperature changes of pipe sections to improve heat uniformity.

[0051] Each partition of the heat storage unit is modularly designed, and the heat storage capacity can be expanded by increasing or decreasing the number of partitions or replacing the internal heat storage modules of the partitions to adapt to different load requirements. With high scalability and flexible system configuration, the modular partition design is easy to expand and adapt to future load growth needs.

[0052] The dynamic flow regulating device includes a flow control valve and a variable frequency pump, which regulates the flow of each partition through feedback control signals; The dynamic flow regulator includes a temperature control feedback loop to monitor the outlet temperature of each zone to ensure uniform heat release.

[0053] The feedback control system includes a temperature sensor and a flow sensor, which are used to collect temperature and flow data of each partition respectively; The feedback control system includes a data processing module for receiving and analyzing sensor data to provide accurate feedback signals to the adaptive control module.

[0054] Gradual closing and opening strategies during heat storage and release: During the heat storage process, the system adopts a flow control method of "open all first and then close gradually", that is, the flow control valves of all partitions are opened during the heat storage startup phase, and some partitions are gradually closed after the temperature reaches the set threshold, reducing the inlet flow to maintain uniform heat absorption and prevent local overheating.

[0055] In the heat storage stage of this embodiment, the system first opens all partitions and parallel pipe sections to ensure the rapid start of the heat storage process and improve the heat absorption efficiency. As the heat storage temperature rises, the system gradually closes each partition or pipe section, and gradually reduces the flow rate to avoid overheating and temperature imbalance, so as to achieve a smooth end of heat storage. This strategy ensures that the system can quickly reach the set heat storage capacity in a short time, thereby completing heat storage efficiently.

[0056] The system adopts a "gradual opening and closing" flow control method during the heat release process, that is, the flow control valves of the partitions are gradually opened according to the load demand at the initial stage of heat release to prevent a sudden increase in initial heat, and some partitions are gradually closed when the heat release is nearing the end to extend the heat release time and achieve stable heat release.

[0057] During the heat release process of this embodiment, the system gradually opens the partitions and pipe sections according to the load demand to achieve precise control of the heat release process and avoid the pressure shock caused by the initial heat outflow to the system. As the heat release continues, the system gradually adjusts the closing order of the partitions and pipe sections to extend the heat release time, so that the heat can be output steadily and continuously to meet the long-term and stable heating demand.

[0058] The feedback control system also includes an abnormality detection and processing module. When the system detects abnormal fluctuations in temperature or flow, it starts the automatic feedback control mechanism to restore the system to normal by adjusting the flow and temperature.

[0059] The preliminary design and system configuration of this embodiment include dynamic optimization of heat storage units and partitions, multi-level configuration of partitions and pipe sections, and dynamic load prediction and pre-control strategies, as follows: Dynamic optimization of heat storage units and partitions: According to the rated heat storage capacity and flow requirements, key parameters such as the heat capacity of the heat storage medium, the heat storage rate of a single heat storage module, and the fluid flow rate are input into the multivariable optimization model to optimize the total number of heat storage units and the number of partitions to ensure that the system has the ability to operate evenly under load fluctuations.

[0060] Multi-level configuration of partitions and pipe sections: After the thermal storage unit is partitioned, the system arranges the thermal storage modules in series and parallel in each partition to flexibly adapt to the needs of thermal storage / release.

[0061] Dynamic load forecasting and pre-control strategy: The system combines light monitoring devices and meteorological data interfaces to estimate solar load trends through load forecasting models, and adjusts the flow priorities of zones and sections in advance according to load fluctuations.

[0062] The real-time operation and load change monitoring of this embodiment includes multi-variable monitoring and partition priority adjustment, which are as follows: During operation, the system monitors the temperature, flow and pressure of each partition through sensors, and automatically adjusts the priority of the partition in combination with the load sensing module to ensure dynamic response under load fluctuation conditions.

[0063] The zoning management of the heat storage stage and the heat release stage in this embodiment is as follows: Heat storage stage: synchronous opening and gradual closing of parallel pipe sections Heat storage startup and flow balance control: In the initial stage, all the parallel pipe sections of the partitions are opened, and the system adjusts the flow in real time according to temperature monitoring to ensure uniform heat absorption. During the heat storage process, the system closes the partitions in sequence according to the outlet temperature priority, first reducing the inlet flow and gradually closing it completely to avoid transient fluctuations. During the gradual closure of the pipe sections, the flow is readjusted according to the temperature distribution of the remaining pipe sections to avoid sudden flow increases or heat imbalance.

[0064] Heat release phase: gradual opening and closing of pipe sections At the beginning of heat release, the pipe sections are selectively opened according to the load demand. The system monitors the outlet temperature and flow in real time, and gradually opens more pipe sections with priority to avoid the impact of the initial surge on the system. The partition priority is dynamically adjusted according to the load and temperature conditions. When the load is high, the partition with higher temperature is activated first, and when the load is low, the partition with lower temperature is deactivated first. When the heat release is nearing the end, the system gradually closes some pipe sections, and prioritizes closing some pipe sections according to the temperature change rate to reduce heat fluctuations. After the heat release is completed, it enters the standby state. If the load demand increases, it can respond quickly and adapt to the new demand by expanding the partition.

[0065] Many embodiments and many applications beyond the examples provided will be apparent to those skilled in the art upon reading the above description. Therefore, the scope of the present teachings should not be determined with reference to the above description, but rather with reference to the preceding claims and the full scope of equivalents to which such claims are entitled. For the purpose of comprehensiveness, all articles and references, including disclosures of patent applications and publications, are incorporated herein by reference. The omission of any aspect of the subject matter disclosed herein in the preceding claims is not intended to be a disclaimer of such subject matter, nor should it be considered that the applicants did not consider such subject matter to be part of the disclosed inventive subject matter.

[0066] The above content is a further detailed description of the present invention. It cannot be determined that the specific implementation methods of the present invention are limited to these. For ordinary technicians in the technical field to which the present invention belongs, without departing from the concept of the present invention, they can also make several simple deductions or substitutions, which should be regarded as belonging to the protection scope of the present invention determined by the submitted claims.

Claims

1. A solid heat storage system with dynamic adaptation and multi-level feedback control, characterized in that: The invention comprises a heat storage unit (1), a feedback control system (2), an adaptive control module (3) and a dynamic flow regulating device (4), wherein the heat storage unit (1) is connected to the feedback control system (2) and the adaptive control module (3) respectively, the adaptive control module (3) is connected to the feedback control system (2), the dynamic flow regulating device (4) is arranged on the heat storage unit (1), and the dynamic flow regulating device (4) is connected to the feedback control system (2) and the adaptive control module (3); The heat storage unit (1) comprises a plurality of partitions, each of which is provided with a plurality of heat storage modules connected in series and parallel, for absorbing and storing heat; The feedback control system (2) includes multiple point sensors for monitoring the temperature and flow data of each partition; The adaptive control module (3) is used to dynamically adjust the flow rate and temperature of each partition in the heat storage unit (1) based on real-time data of the feedback control system (2) using a multi-level feedback algorithm; The dynamic flow regulating device (4) is used to adjust the flow distribution of each partition in the heat storage unit (1) according to load demand.

2. A solid heat storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: The adaptive control module (3) comprises a load prediction module, which is used to predict load fluctuations based on external meteorological data, user historical load data and external data sources, and adjust the priority of each partition before heat storage or heat release.

3. The solid heat storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: The multi-level dynamic feedback algorithm is set based on fuzzy logic control or machine learning algorithm.

4. The solid heat storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: Each partition of the heat storage unit (1) is modularly arranged, and the heat storage capacity of the heat storage unit (1) is expanded by increasing the number of partitions, reducing the number of partitions, or replacing the heat storage module inside the partition.

5. The solid thermal storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: The dynamic flow regulating device (4) comprises a flow control valve and a variable frequency pump, and regulates the flow of each partition in the heat storage unit (1) through the feedback control signal of the feedback control system (2).

6. The solid thermal storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: The dynamic flow regulating device (4) further comprises a temperature control feedback loop, which is used to monitor the outlet temperature of each partition in the heat storage unit (1).

7. The solid thermal storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: The feedback control system (2) comprises a temperature sensor and a flow sensor, the temperature sensor being used to collect temperature data of each partition in the heat storage unit (1), and the flow sensor being used to collect flow data of each partition in the heat storage unit (1).

8. The solid heat storage system with dynamic adaptation and multi-level feedback control according to claim 7, characterized in that: The feedback control system (2) also includes a data processing module, which is used to receive and analyze data from the temperature sensor and data from the flow sensor, and provide a feedback signal to the adaptive control module (3).

9. The solid heat storage system with dynamic adaptation and multi-level feedback control according to claim 1, characterized in that: The feedback control system (2) also includes an abnormality detection and processing module, which activates an automatic feedback control mechanism when abnormal fluctuations in temperature or flow are detected, and adjusts the flow and temperature to return to normal.

10. A method for operating a solid thermal storage system with dynamic adaptation and multi-level feedback control, characterized in that: The following steps are involved: The heat storage process includes opening the flow control valves of all partitions at the heat storage startup stage, and the temperature of the partition or module that enters first rises first, and the temperature of the partition or module that enters later rises second. When the temperature of a partition or module reaches the set threshold, the flow control valves of some partitions are gradually closed to reduce the inlet flow of this partition or module. Then, other running partitions adjust the flow control valves to redistribute the flow and evenly absorb heat. The heat release process includes gradually opening the flow control valves of the partitions according to the load demand at the beginning of heat release, and gradually closing the flow control valves of some partitions when the temperature of a partition or module drops to the set threshold, reducing the inlet flow of this partition or module, and then redistributing the flow of other running partitions by adjusting the flow control valves, thereby extending the heat release time and releasing heat stably.

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