Dynamic temperature control system for hydrogen desorption of organic liquid hydrogen storage system

Abstract

A dynamic temperature control system for hydrogen desorption of an organic liquid hydrogen storage system comprises a temperature control system, an intelligent control system and an engine system comprising an MCH reactor and a stepped heat exchanger, and the temperature control system is connected with the intelligent control system and the engine system. The temperature control system is used for sending temperature data of the engine system to the intelligent control system, and the intelligent control system is used for predicting and processing the temperature data through a preset time sequence prediction model to obtain temperature control parameters and flow control parameters and sending the temperature control parameters and the flow control parameters to the temperature control system. And the temperature control system controls the MCH flow of the MCH reactor and the heat exchange medium flow of the stepped heat exchanger according to the temperature control parameter and the flow control parameter. The dynamic temperature control system can realize hydrogen desorption combination of the hydrogen internal combustion engine and the organic liquid hydrogen storage system, and solves the problem of high energy consumption required by hydrogen desorption of the organic liquid hydrogen storage system.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of automation control technology, and in particular to a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system. Background Art

[0002] Organic liquid hydrogen storage is a highly promising method for hydrogen storage, attracting considerable attention due to its safety, high storage density, and convenient transportation. However, its drawback is that the release of hydrogen from this organic hydrogen storage medium is typically a highly endothermic process, requiring high energy consumption.

[0003] In the existing technology, dehydrogenation products and hydrocarbons are used as fuel sources to realize the operation mode of the dehydrogenation reactor and the internal combustion engine of the organic liquid hydrogen storage system in a linked manner. However, during the implementation process, gasoline is still the main energy carrier, and the amount of hydrogen added is only 3-6%, which is not a high utilization rate. The utilization rate of the combination of the hydrogen internal combustion engine and the organic liquid hydrogen storage system is not high, and the high energy consumption problem required for hydrogen release from the organic liquid hydrogen storage system is not solved. Summary of the Invention

[0004] The embodiment of the present application provides a dynamic temperature control system for hydrogen release from an organic liquid hydrogen storage system, which can realize the combination of a hydrogen internal combustion engine with an organic liquid hydrogen release system, and solve the problems of temperature control and waste heat conversion efficiency of hydrogen release from the organic liquid hydrogen release system.

[0005] On the one hand, an embodiment of the present application provides a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system, comprising:

[0006] control system, intelligent control system and engine system including MCH reactor and cascade heat exchanger;

[0007] The temperature control system is connected to the intelligent control system and the engine system;

[0008] The temperature control system is used to send the temperature data and flow data of the engine system to the intelligent control system;

[0009] The intelligent control system is used to predict and process the temperature data and the flow data through a preset time series prediction model to obtain temperature control parameters and flow control parameters, and send the temperature control parameters and the flow control parameters to the temperature control system;

[0010] The temperature control system controls the MCH flow rate of the MCH reactor and the heat exchange medium flow rate of the stepped heat exchanger according to the temperature control parameter and the flow control parameter.

[0011] As can be seen from the various embodiments of this application described above, the intelligent control system, based on the engine system temperature, MCH flow rate, and heat exchange medium flow rate, achieves the integration of a hydrogen internal combustion engine with an organic liquid hydrogen storage system, while also improving waste heat control and utilization, achieving a more stable dehydrogenation reaction, and resolving the issue of high energy consumption during the dehydrogenation process. Furthermore, the stepped heat exchanger achieves cascaded waste heat utilization, improving waste heat conversion efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present invention.

[0013] Figure 1 A schematic structural diagram of a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system according to an embodiment of the present application;

[0014] Figure 2 A schematic structural diagram of a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system according to another embodiment of the present application;

[0015] Figure 3 A schematic structural diagram of a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system according to another embodiment of the present application;

[0016] Figure 4 This is a flow chart of the intelligent control system generating control parameters for the control system in the dynamic temperature control system for hydrogen release of the organic liquid hydrogen storage system in the embodiment of the present application;

[0017] Figure 5 This is a schematic diagram of the data processing flow of the deep learning module of the intelligent control system in the embodiment of the present application;

[0018] Figure 6 This is a schematic diagram of the data processing flow of the large model decision module of the intelligent control system in the embodiment of the present application;

[0019] Figure 7 Schematic diagram of the structure of a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system in another embodiment of the present application. DETAILED DESCRIPTION

[0020] To make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are 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 those skilled in the art without creative work are within the scope of protection of the present invention.

[0021] The hydrogen internal combustion engine is a more cost-effective hydrogen power system than hydrogen fuel cells. Its structure is similar to that of traditional internal combustion engines, allowing for modification using existing internal combustion engine technology to reduce R&D and production costs. Therefore, utilizing the waste heat generated by the hydrogen internal combustion engine to supply an organic liquid hydrogen storage system can significantly improve the overall thermal efficiency of the vehicle. This solves the high energy consumption of organic liquid hydrogen storage systems and offers the advantages of greater safety, higher hydrogen storage capacity, and greater flexibility for hydrogen storage in vehicles or ships.

[0022] The embodiments of the present application provide a dynamic temperature control system for hydrogen dehydrogenation in a liquid organic hydrogen storage system, which utilizes waste heat from a hydrogen internal combustion engine to achieve dynamic temperature control of the MCH (Methylcyclohexane) reactor in the organic liquid hydrogen dehydrogenation system during the dehydrogenation reaction. This can better control and utilize the waste heat and achieve a more stable dehydrogenation reaction.

[0023] See also Figure 1 , Figure 1 This is a schematic diagram of the structure of a dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system according to an embodiment of the present application. For ease of illustration, only the parts related to the embodiment of the present application are shown. The system may include:

[0024] Temperature control system 10, intelligent control system 20 and engine system 30 including MCH reactor 31 and cascade heat exchanger 32;

[0025] The engine system 30 is a hydrogen internal combustion engine system.

[0026] The temperature control system 10 is connected to the intelligent control system 20 and the engine system 30;

[0027] The temperature control system 10 is used to send the temperature data and flow data of the engine system 30 to the intelligent control system 20;

[0028] The intelligent control system 20 is used to predict and process the temperature data and the flow data through a preset time series prediction model to obtain temperature control parameters and flow control parameters, and send the temperature control parameters and the flow control parameters to the temperature control system 10;

[0029] The time series prediction model can specifically be a data processing module built into the intelligent control system 20. The data processing module is provided with a corresponding algorithm program, which can realize the function of predicting and processing the temperature data and the flow data to obtain the temperature control parameters and the flow control parameters.

[0030] The temperature control system 10 controls the flow rate of the MCH reactant of the MCH reactor 31 (hereinafter referred to as MCH flow rate) and the flow rate of the heat exchange medium of the stepped heat exchanger 32 according to the temperature control parameter and the flow control parameter, thereby achieving precise control of the temperature of the MCH reactor and maintaining the optimal operating temperature of its hydrogen desorption reaction.

[0031] In the embodiment of the present application, the intelligent control system is based on the temperature of the engine system, the flow rate of MCH and the flow rate of the heat exchange medium. While realizing the combination of the hydrogen internal combustion engine and the organic liquid hydrogen storage system, the waste heat control and utilization are improved, a more stable dehydrogenation reaction is achieved, and the problem of high energy consumption during the dehydrogenation process is solved. In addition, the stepped heat exchanger realizes the cascade utilization of waste heat, which improves the waste heat conversion rate. At the same time, by controlling the flow rate of the MCH reactants of the MCH reactor and the flow rate of the heat exchange medium of the stepped heat exchanger, the temperature of the MCH reactor is accurately controlled to maintain the optimal operating temperature of its hydrogen desorption reaction.

[0032] The engine system is the main power unit of the hydrogen internal combustion engine and may include an MCH reactor 31, a cascade heat exchanger 32, and a hydrogen internal combustion engine 33. The MCH reactor 31 can dehydrogenate the MCH hydrogen carrier and deliver the generated hydrogen to the hydrogen internal combustion engine 33 to provide power. The cascade heat exchanger 32 may further include a high-temperature heat exchanger 321 and a medium-temperature heat exchanger 322.

[0033] For details, please refer to Figure 2 , Figure 2 This is a schematic diagram of the specific structure and connection of the engine system 30 and the temperature control system 10 in the dynamic temperature control system for hydrogen release of the organic liquid hydrogen storage system provided in another embodiment of the present application.

[0034] The MCH reactor 31 is connected to the hydrogen internal combustion engine 33 to deliver the dehydrogenated hydrogen to the hydrogen internal combustion engine 33;

[0035] The hydrogen internal combustion engine 33 is connected to the stepped heat exchanger 32 and outputs high-temperature exhaust gas to the stepped heat exchanger 32;

[0036] The stepped heat exchanger 32 includes a high-temperature heat exchanger 321 and a medium-temperature heat exchanger 322;

[0037] The high-temperature heat exchanger 321 is specifically a high-temperature spiral tube heat exchanger, and the medium-temperature heat exchanger 322 is specifically a medium-temperature plate heat exchanger.

[0038] The MCH reactor 31, hydrogen internal combustion engine 33, high-temperature heat exchanger 321, and medium-temperature heat exchanger 322 are sequentially connected to form a closed loop. The high-temperature heat exchanger 321 is used to reduce the temperature of the high-temperature exhaust gas discharged from the hydrogen internal combustion engine 33 from a first high temperature to a second high temperature, while also heating the heat exchange medium. The medium-temperature heat exchanger 322 is used to maintain the temperature of the heat exchange medium flowing from the high-temperature heat exchanger 321 within the preset first temperature range required by the MCH reactor 31, and to maintain the temperature fluctuation of the heat exchange medium within the preset second temperature range.

[0039] Specifically, the hydrogen internal combustion engine 33 is connected to the high-temperature heat exchanger 321 and outputs high-temperature exhaust gas of 400-600°C to the high-temperature heat exchanger 321. The high-temperature heat exchanger 321 uses countercurrent heat exchange between the high-temperature exhaust gas and the heat exchange medium to reduce the temperature of the high-temperature exhaust gas to 200-400°C while heating the heat exchange medium. The thermal efficiency can be greater than 90%.

[0040] The high-temperature heat exchanger 321 is connected to the medium-temperature heat exchanger 322, which maintains the temperature fluctuation of the heat exchange medium at ±5°C. The medium-temperature heat exchanger 322 is also connected to the MCH reactor 31, and the heat exchange medium participates in the dehydrogenation catalytic reaction of the MCH reactor 11 as a heat source.

[0041] MCH reactor 31MCH reactor is a shell-and-tube reactor, which is equipped with multiple parallel slender tubes. The opening and closing of the tubes are controlled by the temperature control system 10. Heat exchange medium flows in the space between the tubes. By setting up multiple slender tubes, the heat transfer efficiency between the platinum-based catalyst in the tubes and the heat exchange medium can be guaranteed to a large extent, ensuring temperature uniformity.

[0042] The operation of a hydrogen internal combustion engine inevitably introduces certain temperature fluctuations. Near the lower limit of the catalyst's operating temperature window (approximately 200°C), a small temperature drop can significantly reduce the efficiency of the dehydrogenation reaction. Conventional technologies employ a simple single-tube setup with a larger diameter. The temperature of the catalyst in the center is often lower than that at the tube wall, resulting in only the wall catalyst having a significant catalytic effect while the center catalyst has no significant catalytic effect. However, the slender multi-tube reactor employed in the present embodiment ensures a high degree of temperature uniformity.

[0043] The temperature control system 10 includes: a controller 11, a temperature sensor group 12, a flow sensor group 13, a flow regulating valve group 14, a raw material storage tank 15 and a toluene recovery tank 16;

[0044] The controller 11 adopts an MPC (model predictive control) control mechanism to achieve precise control of the operating temperature of the MCH reactor 31 by changing the MCH flow rate and the heat exchange medium flow rate, thereby maintaining its optimal operating temperature during the hydrogen desorption reaction.

[0045] The controller 11 may include: an MPC controller and a control fusion controller.

[0046] The controller 11 is connected to the temperature sensor group 12, the flow sensor group 13 and the flow regulating valve 14;

[0047] The temperature sensor group 12 includes a plurality of temperature sensors, which are respectively arranged at the exhaust port of the hydrogen internal combustion engine 33 , the outlet of the stepped heat exchanger 32 , inside the MCH reactor 31 , and at the inlet of the MCH reactor 31 .

[0048] The temperature sensor is provided at the exhaust port of the hydrogen internal combustion engine 33 to monitor the temperature of the heat source (i.e., the heat exchange medium);

[0049] Temperature sensors are set at the outlet of the stepped heat exchanger 32, including at the outlet of the high-temperature heat exchanger 321 and the medium-temperature heat exchanger 322, to monitor whether the temperature of the heat energy transferred to the MCH reactor 31 through the stepped heat exchanger 32 is a suitable temperature, which is within a preset temperature range.

[0050] The temperature sensor is arranged in the MCH reactor 31 to monitor the ambient temperature during the dehydrogenation reaction;

[0051] The temperature sensor is provided at the inlet of the MCH reactor 31 for monitoring the feed temperature at the inlet. Feeding refers to the feeding of the MCH hydrogen carrier raw material stored in the raw material storage tank 15 into the MCH reactor 31 through the inlet.

[0052] The flow sensor group 13 includes a first flow sensor 131 and a second flow sensor 132, wherein the first flow sensor 131 is arranged at the inlet of the MCH reactor 31 for monitoring the MCH flow; the second flow sensor 132 is respectively arranged at the outlet of the high-temperature heat exchanger 321 and the outlet of the medium-temperature heat exchanger 322 for monitoring the flow of the heat exchange medium.

[0053] The flow regulating valve 14 includes a first flow regulating valve 141, a second flow regulating valve 142 and a third flow regulating valve 143, wherein the first flow regulating valve 141 is connected to the high-temperature heat exchanger 321, and is used to adjust the flow of the heat exchange medium flowing to the high-temperature heat exchanger 321 by adjusting the valve size under the control of the controller 11; the second flow regulating valve 142 is connected to the medium-temperature heat exchanger 322, and is used to adjust the flow of the heat exchange medium flowing to the medium-temperature heat exchanger 322 by adjusting the valve size under the control of the controller 11; the third flow regulating valve 143 is connected to the MCH reactor 31, and is used to adjust the MCH flow entering the MCH reactor 31 by adjusting the valve size under the control of the controller 11.

[0054] The raw material storage tank 15 and the toluene recovery tank 16 are connected to the MCH reactor 31 , wherein the raw material storage tank 15 stores the MCH hydrogen carrier raw material before dehydrogenation in the MCH reactor 31 , and the toluene recovery tank 16 stores the high-purity toluene after dehydrogenation in the MCH reactor 31 .

[0055] See also Figure 3 , Figure 3 The specific structure and connection diagram of the temperature control system 10 and the intelligent control system 20 in the dynamic temperature control system for hydrogen release of an organic liquid hydrogen storage system provided in another embodiment of the present application, the timing prediction model in the intelligent control system 20 includes a deep learning module 21 and a large model decision module 22, the data input end of the deep learning module 21 and the data output end of the large model decision module 22 are respectively connected to the controller 11 of the temperature control system 10, and the data output end of the deep learning module 21 is connected to the data input end of the large model decision module 22.

[0056] The deep learning module 21 uses an LSTM-Transformer hybrid architecture to monitor the operating data of the hydrogen internal combustion engine 33 in real time and achieve temperature prediction at multiple time scales. The operating data includes real-time power, speed, temperature, and other information.

[0057] Specifically, the controller 11 obtains temperature data from the temperature sensor group 12, flow data from the flow sensor group 13, and environmental data. The deep learning module 21 obtains the temperature data, flow data, and environmental data from the controller 11. The temperature data includes historical temperature data and real-time temperature data collected by each temperature sensor. The flow data includes the flow of the MCH and the flow of the heat exchange medium collected by the flow sensor group 13. The environmental data includes the external temperature, air pressure, engine operating condition data, etc., which can be transmitted and obtained through the vehicle CAN (Controller Area Network) bus.

[0058] See also Figures 4 to 6 , Figure 4 The process of the intelligent control system 20 generating control parameters for the control system 10 includes the data processing flow within the intelligent control system 20, the data exchange between the intelligent control system 20 and the control system 10, and the process of the control system 10 performing flow control. Figure 5 It is mainly a data processing flow diagram of the deep learning module 21. Figure 6 It is mainly a data processing flow diagram of the large model decision module 22.

[0059] The deep learning module 21 normalizes the temperature data, flow data and environmental data and performs time series alignment, wherein the temperature data includes real-time temperature data and historical temperature data, and the flow data includes MCH flow and heat exchange medium flow.

[0060] The LSTM module in the LSTM-Transformer hybrid architecture is further used to extract time series features to generate preliminary prediction results, which are then optimized by the Transformer module, weighted by the attention mechanism, and fused with multi-scale features to obtain the final prediction results, which are input into the large model decision module 22. The final output results include the temperature prediction results and MCH flow prediction results within the T+1 time period, as well as the thermal efficiency prediction results. As the decision target of the large model decision module 22, thermal efficiency refers to the ratio of the system to convert input thermal energy into effective dehydrogenation reaction chemical energy, that is, the ratio of the net heat absorbed by the dehydrogenation reaction per unit time (that is, the product of the amount of hydrogen produced and the enthalpy change of the dehydrogenation reaction) to the external heating energy (that is, the heat exchange of the exhaust gas of the hydrogen internal combustion engine).

[0061] Figure 5 Feature engineering in data processing refers to extracting, converting and constructing more meaningful features from raw data, that is, performing numerical conversion, which may include: calculation of temperature change rate, flow rate to temperature ratio characteristics, statistical characteristics within the time window (average, maximum, minimum), the difference between the temperatures of different measuring points, and data standardization and normalization processing.

[0062] The large model decision module 22 has adaptive learning capabilities, can continuously optimize the control strategy based on historical operating data, and dynamically adjust the operating parameters of the system to achieve the target temperature to be controlled with low latency and more robustness.

[0063] The large model decision module 22 adjusts the size of the flow regulating valve group 14, the MCH flow strategy and the flow of the heat exchange medium through the temperature prediction results, MCH flow prediction results and thermal efficiency prediction results input by the deep learning module 21, and optimizes the valve opening and flow setting through reinforcement learning agent and reward calculation.

[0064] Among them, the thermal efficiency prediction is directly used as an independent information flow in the MPC controller, and the MPC controller calculates each sequence of model-based optimal control.

[0065] The reinforcement learning module in the large model decision module 22 provides control suggestions based on historical data and current data, relying on data-driven, while the control fusion device accepts two strategies and performs weighted fusion output.

[0066] The large model decision module 22 sends the optimized target temperature, target flow, temperature prediction sequence and flow prediction sequence to the controller 11. The controller 11 outputs the real-time valve opening of the flow regulating valve group 14 according to the flow prediction sequence, as well as the regulation degree of the MCH flow and the heat exchange medium flow. The controller 11 also outputs the valve opening sequence of the next N steps to achieve rapid response. The temperature control system 10 is used for predictive optimization and steady-state constraints, and the intelligent control system 20 is responsible for the front-end control strategy and adjustment of the control model parameters. The two cooperate with each other.

[0067] Figure 6 The heat exchanger flow regulating valves in the embodiment may be the first flow regulating valve 141 and the second flow regulating valve 142 ; the MCH reactor flow regulating valve may be the third flow regulating valve 143 .

[0068] Figure 6 The state space, reinforcement learning agent, action space, and reward calculation modules in the model are then fed back to the reinforcement learning agent to optimize the predicted data to obtain the optimal strategy. The process is as follows:

[0069] First, the state space module receives real-time sensor data, including temperature, flow, pressure, and temperature prediction values and flow prediction values from the deep learning module 21, and constructs these values into a multidimensional state vector, which includes the above-mentioned values.

[0070] The reinforcement learning agent module receives the current state vector St, calculates the action probability distribution through the preset strategy network, selects the optimal control strategy At based on the preset exploration strategy, and stores it in the action space vector, which is then passed to the control fusion device for weighted calculation.

[0071] On the other hand, after the system executes the control strategy, it obtains a new state vector St+1 and the optimal control strategy At that leads to this state vector. The reward is calculated by combining the state vector St, the new state vector St+1 and the optimal control strategy At.

[0072] The reward calculation may include temperature control reward, efficiency reward, and energy consumption reward, which are weighted to obtain the reward signal R. The mapping vector [St, At, R, St+1] is stored in the experience pool and returned to the reinforcement learning agent module.

[0073] The reinforcement learning agent module can use the Actor-Critic framework for dual network updates. The Critic network evaluates the state value and updates the parameters by minimizing the error, while the Actor network improves the policy performance through policy gradients, ultimately updating the optimal control policy At+1.

[0074] Further, see Figure 7, the dynamic temperature control system also includes a safety system 40;

[0075] The safety system 40 is connected to the engine system 30 as a safety redundancy in case of system failure;

[0076] The safety system 40 includes a safety valve 41 and an emergency radiator 42 , both of which are connected to the engine system 30 ;

[0077] The safety valve 41 is used to monitor the pressure of the engine system 30 and release the pressure in time and / or issue an alarm for excessive pressure when the pressure is detected to be higher than a preset pressure value;

[0078] The emergency radiator 42 is used to monitor the temperature of the engine system 30 , and when it is detected that the temperature is higher than a preset temperature value, the emergency radiator 42 dissipates heat in a timely manner and / or issues an alarm for excessive temperature.

[0079] In one example, the output characteristics of a 2.0L hydrogen internal combustion engine (H2ICE) are analyzed:

[0080] Basic internal combustion engine parameters:

[0081] Displacement: 2.0L;

[0082] Number of cylinders: inline four-cylinder;

[0083] Compression ratio: 14:1;

[0084] Fuel: pure hydrogen (H2) without gasoline;

[0085] Intake mode: naturally aspirated;

[0086] Ignition mode: spark ignition (SI);

[0087] Maximum power: 110kW (150hp) @ 5500rpm;

[0088] Maximum torque: 210N·m@3500rpm;

[0089] Air-fuel ratio: Near stoichiometric ratio (H2:Air≈34:1);

[0090] Exhaust temperature: 650-750℃.

[0091] MCH reactor parameters:

[0092] MCH reactor peak hydrogen release rate: 14.8 Nm3 / hr;

[0093] Conversion rate of methylcyclohexane during dehydrogenation: >90%;

[0094] Conversion efficiency TOF: >= 0.31 mol H2 / (gpt·min);

[0095] Selectivity of hydrogen production: >99.99%;

[0096] Dehydrogenation reaction temperature working range: 228-350℃;

[0097] Performance curve

[0098] Speed (rpm) Power (kW) 1000 20 2000 50 3000 85 4000 100 5500 110 6000 95

[0099] Speed (rpm) Torque (N·m) 1000 120 2000 180 3000 205 3500 210 4000 200 5500 180

[0100] Output characteristics under WLTC (Worldwide Harmonized Light Vehicles Test Cycle) conditions:

[0101] Working condition stage Speed (km / h) Engine speed (rpm) Output power (kW) Torque (N·m) Idle 0 900 3.2 110 Low speed conditions 20-60 1200-2500 8.9-43.6 140-180 Acceleration conditions 0-100 2000-5000 49.9-105.2 180-205 High-speed cruising 80-130 3000-5500 70.2-111.3 200-210 Rapid acceleration 50-120 4000-5500 95.4-115.1 200-210

[0102] Output characteristics under NEDC (New European Driving Cycle) conditions:

[0103]

[0104] The system maintains stable combustion even when the excess air ratio λ>2. Under both operating conditions, the system achieves waste heat conversion efficiency exceeding 85%, accurately controls the temperature of the internal combustion engine system to within 2-3 degrees Celsius, and improves response efficiency to the millisecond level. Temperature fluctuations at various measurement points within the MCH reactor are controlled to within ±5 degrees Celsius.

[0105] The above is a description of the dynamic temperature control system for hydrogen release of the organic liquid hydrogen storage system provided by the present invention. For those skilled in the art, based on the ideas of the embodiments of this application, there may be changes in the specific implementation methods and application scopes. In summary, the content of this specification should not be understood as limiting the present invention.

Claims

1. A dynamic temperature control system for hydrogen release in an organic liquid hydrogen storage system, characterized in that: include: Temperature control system, intelligent control system and engine system including MCH reactor and cascade heat exchanger; The temperature control system is connected to the intelligent control system and the engine system; The temperature control system is used to send the temperature data and flow data of the engine system to the intelligent control system; The intelligent control system is used to predict and process the temperature data and the flow data through a preset time series prediction model to obtain temperature control parameters and flow control parameters, and send the temperature control parameters and the flow control parameters to the temperature control system; The temperature control system controls the MCH flow rate of the MCH reactor and the heat exchange medium flow rate of the stepped heat exchanger according to the temperature control parameter and the flow control parameter.

2. The dynamic temperature control system according to claim 1, characterized in that: The temperature control system includes: Controller, flow sensor group, temperature sensor group and flow regulating valve group; The controller is connected to the flow sensor group, the temperature sensor group and the flow regulating valve group; The temperature sensor group includes a plurality of temperature sensors, which are respectively arranged at different positions of the engine system and are used to obtain temperatures at the different positions; The flow regulating valve group is used to adjust the MCH flow of the MCH reactor and the heat exchange medium flow of the stepped heat exchanger by adjusting the opening and closing degrees under the control of the controller.

3. The dynamic temperature control system according to claim 2, characterized in that: The stepped heat exchanger includes a high-temperature heat exchanger and a medium-temperature heat exchanger, and the engine system also includes a hydrogen internal combustion engine; The MCH reactor, the hydrogen internal combustion engine, the high-temperature heat exchanger and the medium-temperature heat exchanger are sequentially connected to form a closed loop link; The high-temperature heat exchanger is used to reduce the temperature of the high-temperature exhaust gas discharged by the hydrogen internal combustion engine from a first high temperature to a second high temperature, while heating the heat exchange medium; The medium-temperature heat exchanger is used to maintain the temperature of the heat exchange medium flowing from the high-temperature heat exchanger within a preset first temperature range required by the MCH reactor, and to maintain the temperature fluctuation of the heat exchange medium within a preset second temperature range.

4. The dynamic temperature control system according to claim 3, characterized in that: The temperature sensor group includes a plurality of temperature sensors, which are respectively arranged at the exhaust port of the hydrogen internal combustion engine, the outlet of the high-temperature heat exchanger, the outlet of the medium-temperature heat exchanger, the inside of the MCH reactor and the inlet of the MCH reactor.

5. The dynamic temperature control system according to claim 4, characterized in that: The flow regulating valve group includes three flow regulating valves, which are respectively connected to the MCH reactor, the high-temperature heat exchanger and the low-temperature heat exchanger.

6. The dynamic temperature control system according to claim 5, characterized in that: The time series prediction model includes a deep learning module and a large model decision module; The deep learning module is used to obtain a prediction result by using the acquired temperature data and the flow data through the LSTM-Transformer algorithm, and input the prediction result into the large model decision module as the decision target of the large model decision module, wherein the prediction result includes the temperature prediction and flow prediction for the subsequent time period; The large model decision module is used to optimize and adjust the opening and flow strategy of the flow control valve group through the temperature prediction and flow prediction, and send the optimized target temperature, target flow, temperature prediction sequence and flow prediction sequence to the controller.

7. The dynamic temperature control system according to claim 6, characterized in that: The MCH reactor is a shell-and-tube tubular reactor.

8. The dynamic temperature control system according to claim 1, characterized in that: The dynamic temperature control system includes: a safety system; The safety system is connected to the MCH reactor.

9. The dynamic temperature control system according to claim 8, characterized in that: The safety system includes a safety valve and an emergency radiator.

10. The dynamic temperature control system according to claim 1, characterized in that: The temperature control system further comprises: a toluene recovery tank; The toluene recovery tank is connected to the MCH reactor, and the toluene recovery tank stores high-purity toluene after dehydrogenation from the MCH reactor.

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