A smart control system for thermochemical heat release reactors applicable to multiple scenarios

Abstract

This invention relates to an intelligent control system for thermochemical heat release reactors applicable to multiple scenarios. The system includes multiple parallel standardized reactor modules and two sets of advanced control modules. On the heat release reactor side, the system constructs a decision-making intelligent agent based on time-series prediction. By collaboratively optimizing three key variables—the flow rate of the heat storage particles, the fluidizing gas velocity, and the particle recirculation ratio—it achieves continuous and smooth temperature output for a single module across a wide temperature range. On the heating network side, when the heat exchange medium flow rate of a single module still cannot meet the user's demand, a model predictive controller is selected to dynamically allocate and coordinate the modules, flexibly and efficiently responding to user demands across multiple temperature zones and varying loads. This invention solves the problems of poor scenario adaptability and slow dynamic response in traditional heat storage control technologies, significantly improving the system's dynamic response capability and new energy matching capability, thereby achieving the goal of flexible control.

Description

Technical Field

[0001] This invention relates to the field of thermochemical energy storage and process control technology, and in particular to an intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios. Background Technology

[0002] As the core sector of my country's energy consumption, industry accounts for over 70% of the nation's total energy consumption, with industrial heat consumption accounting for as much as 50%. With the advancement of "dual carbon" goals, the decarbonization and efficiency improvement of industrial heat consumption scenarios have become urgent technological bottlenecks that need to be overcome. Optimizing user-end thermal storage and heating systems is of great significance for reducing carbon emissions and improving energy utilization efficiency, and its market potential remains to be explored. However, existing energy storage heating technologies suffer from the following three core limitations: First, mainstream latent heat storage technologies (such as phase change materials) have poor temperature adaptability. Current mainstream thermal storage technologies primarily rely on latent heat storage, using materials such as paraffin wax, hydrated salts, and molten salts as storage media. While these materials exhibit high energy density near their phase change temperature, their phase change temperature is fixed and has a narrow adjustment range, making it difficult for the system to achieve continuous heating over a wide temperature range according to actual needs. For example, the phase change temperature of paraffin wax is mostly concentrated between 50-80℃, while molten salt, although extending to over 300℃, still has its temperature regulation limited by the material's own physical properties. This limitation necessitates the configuration of multiple independent units with different temperature zones in traditional thermal storage systems to meet the demands of various scenarios such as district heating, industrial steam, and high-temperature processes, resulting in complex systems, high costs, and low space utilization.

[0003] Secondly, the dynamic response capability of existing heat release reactors is severely inadequate. The design of existing heat release reactors is mostly based on steady-state models, and their control strategies are ill-suited to handling dynamic load changes. When heat user demand fluctuates rapidly, the system, due to its large thermal inertia and sluggish dynamic response, cannot achieve the precise second- or minute-level control required for time-sharing scheduling. For example, in industrial steam supply scenarios, traditional reactors are prone to insufficient steam pressure during sudden load increases, while generating energy redundancy during sudden load drops, resulting in energy waste.

[0004] Finally, there is a lack of collaborative optimization and intelligent control methods for complex systems. In recent years, although some studies have attempted to improve system flexibility by connecting multiple reactors in series or introducing thermal storage tanks, these solutions often sacrifice system compactness and economy. Furthermore, existing control methods suffer from difficulties in parameter tuning and insufficient collaborative optimization capabilities when dealing with thermochemical energy storage systems characterized by multivariable coupling, strong nonlinearity, and significant time-varying characteristics, making it difficult to achieve dynamic collaboration and global optimal control among multiple reactor modules.

[0005] These technological bottlenecks severely limit the application and promotion of thermochemical energy storage in various industrial scenarios, and there is an urgent need for an innovative solution that can take into account wide temperature range adaptability, rapid dynamic response and modular collaborative control. Summary of the Invention

[0006] The purpose of this invention is to provide an intelligent control system for thermochemical heat release reactors applicable to multiple scenarios, in order to overcome the shortcomings of the existing technology.

[0007] The objective of this invention can be achieved through the following technical solutions: A multi-scenario applicable intelligent control system for thermochemical heat release reactors includes an intelligent controller, a high-temperature heat user, a medium-temperature heat user, and a low-temperature heat user, as well as at least three heat release reaction intelligent agents. Each heat release reaction intelligent agent is configured as a high-temperature reactor, a medium-temperature reactor, or a low-temperature reactor, and at least one of each type of reactor is provided. The output end of the high-temperature reactor is connected to the input ends of the high-temperature heat user, the medium-temperature heat user, and the low-temperature heat user respectively through a first controlled valve, and the input end is connected to the output end of the high-temperature heat user. The output end of the medium-temperature heat user is connected to the input ends of the medium-temperature heat user and the low-temperature heat user respectively through a second controlled valve, and the input end is connected to the output end of the medium-temperature heat user. The output end of the low-temperature reactor is connected to the input end of the low-temperature heat user, and the input end is connected to the output end of the low-temperature heat user. Each heat-releasing reaction agent obtains the future control parameter sequence, future output fluid temperature sequence, and future output fluid flow rate sequence based on the historical control parameter sequence, historical input fluid temperature sequence, and historical output fluid temperature sequence. The intelligent controller is connected to all first controlled valves, second controlled valves, third controlled valves, heat release reaction intelligent agents, and all heat users. Based on the future output fluid temperature sequence and future output fluid flow sequence of each heat release reaction intelligent agent, and combined with the heating fluid flow demand of each heat user, the controller controls the operation of each first controlled valve, second controlled valve, and third controlled valve.

[0008] The control parameters of the heat-releasing reaction agent include: Thermal storage granular flow: As the primary heat source, it is used to coarsely adjust the total heat release power to match the user's basic heat load; Fluidized gas velocity: directly affects the convective heat transfer coefficient and reaction rate in the reaction bed. Based on a fixed particle flow rate, the reaction intensity and heat transfer efficiency can be changed by adjusting the gas velocity, thus affecting the outlet temperature. Particle reflux ratio: A reflux path is set between the inlet and outlet of the thermal storage particles to allow some of the reacted particles to re-enter the reactor. The reflux ratio is controlled by adjusting the distribution valve, thereby changing the reaction intensity of the material entering the reaction chamber and thus regulating the outlet temperature.

[0009] The first output terminal of the first controlled valve is directly connected to the input terminal of the high-temperature heat user, the second output terminal is connected to the outlet pipeline of the medium-temperature heat user and then to the input terminal of the medium-temperature heat user, and the third output terminal is connected to the outlet pipeline of the low-temperature heat user and then to the input terminal of the low-temperature heat user.

[0010] The first output end of the second controlled valve is directly connected to the input end of the medium-temperature heat user, and the second output end is connected to the outlet pipeline of the low-temperature heat user and then connected to the input end of the low-temperature heat user.

[0011] The third controlled valve is directly connected to the input terminal of the low-temperature heat user.

[0012] The objective function of the heat-releasing reaction agent is: in: H p To predict the time domain, T t+i for t + i Output fluid temperature at any given time for t + i The reference value of the output fluid temperature at any given time. , , , , This is the weight matrix. q represents the thermal storage particle flow rate. The fluidizing gas velocity, This represents the particle recirculation ratio. H c To control the time domain, for The increment of the flow rate of the thermal storage particles at all times. for The increment of the fluidizing gas velocity at any given time. for The increment of the particle recirculation ratio at any given time.

[0013] The first and second controlled valves adjust the fluid flow rate at their respective output ends under the control of the intelligent controller.

[0014] The heat-releasing reaction agent includes: Reaction chamber: An insulated chamber that carries out thermochemical reactions. Heat storage particles and fluidizing gas enter from the bottom, release heat through the bed, and exit from the top. The working fluid heat exchange channel consists of a tube bundle that passes through the reaction bed, through which the heat exchange working fluid flows. Sensing and actuator devices: including sensors such as thermocouples and flow meters, and electrically controlled valves, used to collect parameters such as temperature, flow rate, and velocity and to perform control.

[0015] Inlet and outlet flow and distribution device: A return flow path and distribution valve are set between the inlet and outlet of the thermal storage particles, so that the particles after the reaction can re-enter the reactor, and a means of controlling the reaction rate and reaction degree is established.

[0016] The intelligent controller is configured to perform the following steps: When the sum of the output fluid flow rates of all medium-temperature reactors is less than the demand of the medium-temperature heat user, the fluid temperature in the output pipeline of the medium-temperature heat user is obtained. Based on the fluid temperature in the output pipeline of the intermediate-temperature heat user, and combined with the sum of the output fluid flow rates of all intermediate-temperature reactors, the high-temperature heat flow rate and the intermediate-temperature reflux flow rate are generated.

[0017] The high-temperature heat flux and the medium-temperature reflux flux are respectively: in: High-temperature heat flow rate For medium-temperature reflux flow rate, To achieve the target temperature required for supplying medium-temperature heat to users after mixing, The temperature of the working fluid drawn from the outlet of the mesophilic reactor. The temperature of the working fluid drawn from the outlet of the high-temperature reactor. The total mass flow rate required to supply medium-temperature heat users after mixing.

[0018] Compared with the prior art, the present invention has the following beneficial effects: 1. Wide temperature range adaptability: Through fluidization velocity control and other means, the temperature of a single reactor can be continuously adjusted from 200 to 800℃, which can meet the needs of multiple scenarios such as district heating, industrial steam, and high-temperature processes.

[0019] 2. Rapid and precise control: The coordinated adjustment of fluidization rate and working fluid flow rate reduces the temperature switching response time.

[0020] 3. Energy efficiency and environmental protection advantages: Reduce heat waste and lower carbon emissions through precise temperature control. Attached Figure Description

[0021] Figure 1 This is a schematic diagram of the structure of the present invention; Figure 2 For reactor-side time-series prediction agents; Figure 3 A user-side adaptive traffic control scheme; Figure 4 It is a medium-temperature user-side temperature and flow control system. Detailed Implementation

[0022] The present invention will now be described in detail with reference to the accompanying drawings and specific embodiments. These embodiments are based on the technical solution of the present invention and provide detailed implementation methods and specific operating procedures. However, the scope of protection of the present invention is not limited to the following embodiments.

[0023] A smart control system for thermochemical heat release reactors applicable to multiple scenarios, such as Figure 1 As shown, it includes an intelligent controller, a high-temperature heat user, a medium-temperature heat user, and a low-temperature heat user, as well as at least three heat release reaction intelligent agents, wherein each heat release reaction intelligent agent is configured as a high-temperature reactor, a medium-temperature reactor, or a low-temperature reactor, and there is at least one high-temperature reactor, a medium-temperature reactor, or a low-temperature reactor. The output of the high-temperature reactor is connected to the inputs of high-temperature, medium-temperature, and low-temperature heat users via a first controlled valve, and the input is connected to the output of the high-temperature heat user. The output of the medium-temperature heat user is connected to the inputs of both medium-temperature and low-temperature heat users via a second controlled valve, and the input is connected to the output of the medium-temperature heat user. The output of the low-temperature reactor is connected to the input of the low-temperature heat user, and the input is connected to the output of the low-temperature heat user. Based on this, the reactor modules are connected to the system in parallel, and the outlet of each module is connected via a dedicated pipeline, forming independent heating loops for low-temperature, medium-temperature, and high-temperature needs, thus forming a multi-temperature zone dedicated heating system. Furthermore, the outlets of each temperature module are connected in parallel to one or more heating mains via valves, forming a unified multi-temperature zone heating terminal. This heating terminal is then connected to heat users in different temperature zones, such as district heating and industrial steam, via a pipeline network. The heating-end model predictive controller calculates and infers reasonable control methods by collecting data in real time, and controls valves through control units. It can realize "one-to-one" heating for a specific user by any module, "one-to-many" heating for multiple users, or "many-to-one" heating for a single user by multiple modules working together, forming a highly flexible and reconfigurable responsive heating network.

[0024] The heat-releasing reaction intelligent agent includes: Reaction chamber: An insulated chamber that carries out thermochemical reactions. Heat storage particles and fluidizing gas enter from the bottom, release heat through the bed, and exit from the top. The working fluid heat exchange channel consists of a tube bundle that passes through the reaction bed, through which the heat exchange working fluid flows. Sensing and actuator devices: including sensors such as thermocouples and flow meters, and electrically controlled valves, used to collect parameters such as temperature, flow rate, and velocity and to perform control.

[0025] Inlet and outlet flow and distribution device: A return flow path and distribution valve are set between the inlet and outlet of the thermal storage particles, so that the particles after the reaction can re-enter the reactor, and a means of controlling the reaction rate and reaction degree is established.

[0026] Each heat-releasing reaction agent obtains the future control parameter sequence, future output fluid temperature sequence, and future output fluid flow rate sequence based on the historical control parameter sequence, historical input fluid temperature sequence, and historical output fluid temperature sequence. The intelligent controller is connected to all the first controlled valves, second controlled valves, third controlled valves, heat release reaction intelligent agents, and all heat users. Based on the future output fluid temperature sequence and future output fluid flow sequence of each heat release reaction intelligent agent, and combined with the heating fluid flow demand of each heat user, the controller controls the operation of each first controlled valve, second controlled valve, and third controlled valve.

[0027] The first output of the first controlled valve is directly connected to the input of the high-temperature heat user. Its second output is connected to the outlet pipe of the medium-temperature heat user, and then to the input of that user. Its third output is connected to the outlet pipe of the low-temperature heat user, and then to the input of that user. Similarly, the first output of the second controlled valve is directly connected to the input of the medium-temperature heat user. Its second output is connected to the outlet pipe of the low-temperature heat user, and then to the input of that user. Its third controlled valve is directly connected to the input of the low-temperature heat user. The system calculates the target heating temperature T based on the target temperature T at each user's end. req The system allocates modules according to the principles of temperature adaptation and flow matching. It prioritizes modules whose operating temperature range most closely matches the user's needs. For example, when a user requires 200℃ of heat energy, the system will prioritize assigning the low-temperature module M1 (100-250℃) for heating, while avoiding the use of the high-temperature module M3 (500-800℃) for cooling and heating, thus fundamentally eliminating the inefficient use of high-grade heat energy.

[0028] The system's matching logic ensures that only when T req A module is only activated when its load falls within its operating range, ensuring the feasibility of the technical solution. When a single user's load exceeds the maximum capacity of a single module, the system can schedule multiple modules in the same or adjacent temperature zones for coordinated heating. When a user's required temperature changes across zones, the system can achieve seamless switching between modules.

[0029] The control parameters of the heat-releasing reaction agent include: Thermal storage particle flow q p As the primary heat source, it is used to coarsely adjust the total heat release power to match the user's basic heat load; Fluidizing gas velocity v g: Directly affects the convective heat transfer coefficient and reaction rate in the reaction bed. Based on a fixed particle flow rate, the reaction intensity and heat transfer efficiency can be changed by adjusting the gas flow rate, thus affecting the outlet temperature. Particle reflux ratio θ: A reflux path is set between the inlet and outlet of the thermal storage particles to allow some of the reacted particles to re-enter the reactor. The reflux ratio is controlled by adjusting the distribution valve, thereby changing the reaction intensity of the material entering the reaction chamber and thus regulating the outlet temperature.

[0030] The heat-releasing intelligent agent meets the target temperature T req Under the premise of real-time prediction and control of the impact of the operating variables on the outlet temperature of the heat exchange medium, the optimal combination of the three variables is calculated and output. Through this multi-variable collaborative control strategy from coarse to fine adjustment, a single reactor module can break free from the constraints of fixed temperature points in traditional thermal storage technology and achieve continuous and smooth temperature regulation within its operating range (e.g., 500℃ to 800℃).

[0031] In this embodiment, the target heating temperature is matched with the output capacity range of each module: low temperature 100–250℃; medium temperature 250–500℃; high temperature 500–800℃.

[0032] The objective function of the heat-releasing reaction agent is: in: H p To predict the time domain, T t+i for t + i Output fluid temperature at any given time for t + i The reference value of the output fluid temperature at any given time. , , , , This is the weight matrix. q represents the thermal storage particle flow rate. The fluidizing gas velocity, This represents the particle recirculation ratio. H c To control the time domain, for The increment of the flow rate of the thermal storage particles at all times. for The increment of the fluidizing gas velocity at any given time. for The increment of the particle recirculation ratio at any given time.

[0033] Rolling optimization is achieved by setting the objective function to minimize the error between the predicted value and the set value at time t, while penalizing excessive changes in the control quantity.

[0034] The first and second controlled valves regulate the fluid flow at their respective output terminals under the control of the intelligent controller.

[0035] The intelligent controller is configured to perform the following steps: When the sum of the output fluid flow rates of all medium-temperature reactors is less than the demand of the medium-temperature heat user, the fluid temperature in the output pipeline of the medium-temperature heat user is obtained. Based on the fluid temperature in the output pipeline of the intermediate-temperature heat user, and combined with the sum of the output fluid flow rates of all intermediate-temperature reactors, the high-temperature heat flow rate and the intermediate-temperature reflux flow rate are generated.

[0036] The high-temperature heat flux and the intermediate-temperature reflux flux are respectively: in: High-temperature heat flow rate For medium-temperature reflux flow rate, To achieve the target temperature required for supplying medium-temperature heat to users after mixing, The temperature of the working fluid drawn from the outlet of the mesophilic reactor. The temperature of the working fluid drawn from the outlet of the high-temperature reactor. The total mass flow rate required to supply medium-temperature heat users after mixing.

[0037] Specifically, when the load of a single heat release reactor can meet the user's demand, it is directly heated by an independent end-to-end heating loop. When the load of a single heat release reactor has reached its maximum but still fails to meet the user's demand, i.e., the flow rate reaches the upper limit, the aforementioned multi-temperature zone heating end is activated, and the module matching relationship is dynamically switched.

[0038] Taking the case where the demand from a medium-temperature user exceeds the maximum load of the medium-temperature reactor as an example, the system will mix a portion of the heat exchange medium at the outlet of the high-temperature reactor with a portion of the recirculated medium medium from the medium-temperature user side until the temperature of the mixed medium reaches the demand of the medium-temperature user. This process is controlled by a model predictive controller, whose predictive model follows the following heat balance equation and mass conservation equation.

[0039] Heat balance equation: in, This represents the mass flow rate of the working fluid drawn from the outlet of the high-temperature reactor. This represents the temperature of the working fluid drawn from the outlet of the high-temperature reactor. This represents the mass flow rate of the working fluid returning from the intermediate-temperature user side. This represents the temperature of the working fluid returning from the intermediate-temperature user side. This represents the total mass flow rate required to supply the mixed product to users at medium temperatures. This represents the target temperature required for supplying the mixture to medium-temperature users. Let the specific heat capacity of the working fluid be represented. In this model, we assume it to be a constant value. Then, the above formula can be further simplified to: The blending process also follows the law of conservation of mass: Combining the above two formulas, we can obtain the high-temperature heat flux and the intermediate-temperature reflux flux required for the blending process as follows: The flow rate of the heat exchange medium in the medium temperature section can be supplemented by mixing high-temperature and medium-temperature reflux heat exchange working fluids in a certain proportion.

[0040] In summary, based on the remaining adjustment margin of each module, the heat exchange medium flow supply is reasonably allocated to form a "local control + global coordination" structure to meet user needs.

[0041] like Figures 2 to 4 As shown, to verify the effectiveness of the present invention, a dynamic coordinated heating system comprising three modular thermochemical energy storage and heat release reactors was constructed, each corresponding to heat users at different temperature levels. The system employs an embedded model predictive control algorithm to achieve temperature control and optimized allocation of control variables.

[0042] I. System Configuration and Module Division The system constructed in this embodiment includes three reactor modules: Module M1: Primarily designed for low-temperature applications, with a target temperature range of 100–250℃; Module M2: Primarily designed for medium-temperature applications, with a target temperature range of 250–500℃; Module M3: Primarily designed for high-temperature applications, with a target temperature range of 500–800℃; II. Identification of Heat User Demands and Calculation of Target Temperature Real-time data on return water temperature, heat load, and heat exchange medium flow rate are collected at the heat user's location. The system according to Calculate the required heating temperature and automatically match modules based on the required heating temperature range: If Assign M1; if Assign M2; if M3 was assigned.

[0043] Third, on the reactor side, a multi-input multi-output thermochemical reactor time-series prediction model is established based on data such as particle reflux ratio to predict the temperature of the heat exchange medium at the reactor outlet in real time. Relying on intelligent decision-making by the intelligent agent, the opening degree of the corresponding valve is adjusted to keep the temperature at the set value.

[0044] IV. On the heating network side, the model predictive controller coordinates the valve openings of the outlet heat exchange medium and the return heat exchange medium of multiple modules to ensure that the temperature of the working medium in each outlet pipe on the heating network side reaches the specified temperature requirement. The control variables output by the controller are sent to the underlying control unit of the module in each control cycle to drive the equipment to respond and execute.

[0045] V. Control Execution Process The system execution steps are as follows: 1. The control cycle collects the current status of all modules, calculates and sets the target outlet temperature for each module; 2. The heat-releasing agent infers the optimal decision based on the time-series prediction results and issues it to each control unit; 3. Adjustment of particle flow rate, regulation of working fluid flow rate, and switching of distribution valves ensure that the temperature meets user requirements; 4. Record the response status of each module in real time as the initial value for the next prediction; 5. The heating end model predictive controller collects the outlet working fluid temperature from each module and reasonably adjusts the opening ratio of each valve to ensure that the flow rate meets the user's needs.

[0046] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of this invention, or the part that contributes to the prior art, or a part of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this invention. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

Claims

1. A smart control system for a thermochemical heat release reactor applicable to multiple scenarios, characterized in that, It includes an intelligent controller, a high-temperature heat user, a medium-temperature heat user and a low-temperature heat user, and at least three heat release reaction intelligent agents, wherein each heat release reaction intelligent agent is configured as a high-temperature reactor, a medium-temperature reactor or a low-temperature reactor, and there is at least one high-temperature reactor, a medium-temperature reactor or a low-temperature reactor. The output end of the high-temperature reactor is connected to the input ends of the high-temperature heat user, the medium-temperature heat user, and the low-temperature heat user respectively through the first controlled valve. The input end of the high-temperature reactor is connected to the output end of the high-temperature heat user. The output end of the medium-temperature reactor is connected to the input ends of the medium-temperature heat user and the low-temperature heat user respectively through the second controlled valve. The input end of the medium-temperature reactor is connected to the output end of the medium-temperature heat user. The output end of the low-temperature reactor is connected to the input end of the low-temperature heat user. Each heat-releasing reaction agent obtains the future control parameter sequence, future output fluid temperature sequence, and future output fluid flow rate sequence based on the historical control parameter sequence, historical input fluid temperature sequence, and historical output fluid temperature sequence. The intelligent controller is connected to all first controlled valves, second controlled valves, third controlled valves, heat release reaction intelligent agents, and all heat users. Based on the future output fluid temperature sequence and future output fluid flow sequence of each heat release reaction intelligent agent, and combined with the heating fluid flow demand of each heat user, the controller controls the operation of each first controlled valve, second controlled valve, and third controlled valve. The control parameters of the heat-releasing reaction agent include: Thermal storage granular flow: As the primary heat source, it is used to coarsely adjust the total heat release power to match the user's basic heat load; Fluidized gas velocity: directly affects the convective heat transfer coefficient and reaction rate in the reaction bed. Based on a fixed particle flow rate, the reaction intensity and heat transfer efficiency can be changed by adjusting the gas velocity, thus affecting the outlet temperature. Particle reflux ratio: A reflux path is set between the inlet and outlet of the thermal storage particles to allow some of the reacted particles to re-enter the reactor. The reflux ratio is controlled by adjusting the distribution valve, thereby changing the reaction intensity of the material entering the reaction chamber and thus regulating the outlet temperature.

2. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The first output terminal of the first controlled valve is directly connected to the input terminal of the high-temperature heat user, the second output terminal is connected to the outlet pipeline of the medium-temperature heat user and then to the input terminal of the medium-temperature heat user, and the third output terminal is connected to the outlet pipeline of the low-temperature heat user and then to the input terminal of the low-temperature heat user.

3. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The first output end of the second controlled valve is directly connected to the input end of the medium-temperature heat user, and the second output end is connected to the outlet pipeline of the low-temperature heat user and then connected to the input end of the low-temperature heat user.

4. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The third controlled valve is directly connected to the input terminal of the low-temperature heat user.

5. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The objective function of the heat-releasing reaction agent is: in: H p To predict the time domain, T t+i for t + i Output fluid temperature at any given time for t + i The reference value of the output fluid temperature at any given time. , , , , Here is the weight matrix, and q is the thermal storage particle flow rate. The fluidizing gas velocity, This refers to the particle recirculation ratio. H c To control the time domain, for The increment of the flow rate of the thermal storage particles at all times. for The increment of the fluidizing gas velocity at any given time. for The increment of the particle recirculation ratio at any given time.

6. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The first and second controlled valves adjust the fluid flow rate at their respective output ends under the control of the intelligent controller.

7. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The heat-releasing reaction agent includes: Reaction chamber: An insulated chamber that carries out thermochemical reactions. Heat storage particles and fluidizing gas enter from the bottom, release heat through the bed, and exit from the top. The working fluid heat exchange channel consists of a tube bundle that passes through the reaction bed, through which the heat exchange working fluid flows. Sensing and actuator devices: including thermocouples, flow meter sensors and electrically controlled valves, used to collect temperature, flow rate parameters and perform control; Inlet and outlet flow and distribution device: A return flow path and distribution valve are set between the inlet and outlet of the thermal storage particles, so that the particles after the reaction can re-enter the reactor, and a means of controlling the reaction rate and reaction degree is established.

8. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 1, characterized in that, The intelligent controller is configured to perform the following steps: When the sum of the output fluid flow rates of all medium-temperature reactors is less than the demand of the medium-temperature heat user, the fluid temperature in the output pipeline of the medium-temperature heat user is obtained. Based on the fluid temperature in the output pipeline of the intermediate-temperature heat user, and combined with the sum of the output fluid flow rates of all intermediate-temperature reactors, the high-temperature heat flow rate and the intermediate-temperature reflux flow rate are generated.

9. The intelligent control system for a thermochemical heat release reactor applicable to multiple scenarios according to claim 8, characterized in that, The high-temperature heat flux and the medium-temperature reflux flux are respectively: in: High-temperature heat flow rate For medium-temperature reflux flow rate, To achieve the target temperature required for supplying medium-temperature heat to users after mixing, The temperature of the working fluid drawn from the outlet of the mesophilic reactor. The temperature of the working fluid drawn from the outlet of the high-temperature reactor. The total mass flow rate required to supply medium-temperature heat users after mixing.

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