A control method and device for a biomass gasification green hydrogen co-production hydrogen-based fuel system

Abstract

The present application relates to the field of green chemical industry and intelligent control cross technology, and more particularly to a biomass gasification green hydrogen cogeneration hydrogen-based fuel system control method and device. First, the multi-source state data is obtained, and the multi-source state data is input into the preset target function to obtain the optimized fuel system control parameters; wherein the fuel system control parameters include the optimized electrolytic cell operating power and the optimized water vapor mass flow rate; the preset target function is used to optimize the cost of producing clean fuel under the premise of meeting the hydrogen-carbon ratio of the biomass gasification green hydrogen cogeneration hydrogen-based fuel system synthesis gas; based on the optimized fuel system control parameters, the fuel system is controlled, so that the present application can reduce the cost of producing clean fuel under the premise of meeting the hydrogen-carbon ratio of the biomass gasification green hydrogen cogeneration hydrogen-based fuel system synthesis gas.

Description

Technical Field

[0001] This invention relates to the field of green chemical engineering and intelligent control technology, and in particular to a control method and device for a biomass gasification green hydrogen co-production hydrogen-based fuel system. Background Technology

[0002] Driven by global "dual carbon" goals, renewable energy power generation and green hydrogen-based fuel production technologies are developing rapidly. Hydrogen-based fuel synthesis has strict requirements on the hydrogen-to-carbon ratio of the syngas. Biomass gasification can produce green syngas, but the hydrogen-to-carbon ratio of the self-produced syngas is usually only 0.5~1.0, requiring supplementation with green hydrogen produced by water electrolysis. Oxygen, a byproduct of water electrolysis, can be directly used as a gasification agent, eliminating the need for traditional high-energy-consuming air separation units and possessing significant advantages in low carbon and low cost.

[0003] Biomass gasification is a highly promising green syngas production pathway. Biomass feedstocks (such as straw, sawdust, rice husks, and other agricultural and forestry waste) undergo complex reactions including pyrolysis, oxidation, and reduction under the action of oxygen and steam gasification agents to produce crude syngas, primarily composed of CO, H2, and CO2. The amount of steam introduced can promote the water-gas shift reaction, providing an effective means of real-time adjustment of the syngas's hydrogen-to-carbon ratio. However, the syngas produced solely through biomass gasification typically has a low hydrogen-to-carbon ratio (M≈0.5~1.0), making it insufficient to meet the requirements for hydrogen-based fuel synthesis. This necessitates external supplementation of green hydrogen, leading to excessively high costs.

[0004] Based on this, the present invention proposes a control method and device for a biomass gasification green hydrogen co-production hydrogen-based fuel system to solve the problem of reducing the cost of producing clean fuels while meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. Summary of the Invention

[0005] To address the issue of reducing the cost of producing clean fuels while meeting the hydrogen-to-carbon ratio requirements of syngas in a biomass gasification green hydrogen co-production hydrogen-based fuel system, this invention provides a control method and apparatus for such a system.

[0006] In a first aspect, embodiments of the present invention provide a control method for a biomass gasification green hydrogen co-production hydrogen-based fuel system. The method is applied to a controller for the biomass gasification green hydrogen co-production hydrogen-based fuel system. The fuel system includes a controller and, in sequence, a steam generator, a gasifier, a gas purification device, a hydrogen-added mixed gas storage tank, a fuel synthesis device, and, in sequence, a power generation device and a water electrolysis device. The water electrolysis device is connected to both the gasifier and the hydrogen-added mixed gas storage tank, and includes: Acquire multi-source state data, including the actual operating power and real-time electricity price of the power generation unit; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas in the water electrolysis unit; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier. Multi-source state data are input into a preset objective function to obtain optimized fuel system control parameters. The fuel system control parameters include optimized electrolyzer operating power and optimized steam mass flow rate. The preset objective function is used to optimize the cost of producing clean fuel while meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. Based on the optimized fuel system control parameters, the fuel system is controlled.

[0007] Secondly, embodiments of the present invention provide a control device for a biomass gasification green hydrogen co-production hydrogen-based fuel system. The device is applied to the controller of the biomass gasification green hydrogen co-production hydrogen-based fuel system. The fuel system includes a controller and, in sequence, a steam generator, a gasifier, a gas purification device, a hydrogen-added mixed gas storage tank, a fuel synthesis device, and, in sequence, a power generation device and a water electrolysis device. The water electrolysis device is connected to both the gasifier and the hydrogen-added mixed gas storage tank, and includes: The data acquisition module is used to acquire multi-source status data, including the actual operating power and real-time electricity price of the power generation unit; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas in the water electrolysis unit; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier. The first data processing module is used to input multi-source state data into a preset objective function to obtain optimized fuel system control parameters. The fuel system control parameters include the optimized electrolyzer operating power and the optimized steam mass flow rate. The preset objective function is used to optimize the cost of producing clean fuel while meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. The second data processing module is used to control the fuel system based on the optimized fuel system control parameters.

[0008] Thirdly, embodiments of the present invention also provide an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, it implements the method described in any embodiment of the present invention.

[0009] Fourthly, embodiments of the present invention also provide a computer-readable storage medium having a computer program stored thereon, which, when executed in a computer, causes the computer to perform the methods described in any embodiment of the present invention.

[0010] This invention provides a control method and apparatus for a biomass gasification green hydrogen co-production hydrogen-based fuel system. First, multi-source status data of the system operation is collected in real time. This multi-source status data includes the actual operating power and real-time electricity price of the power generation unit; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas from the water electrolyzer; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier, reflecting the real-time operating status of the system and the characteristics of the feedstock. All collected multi-source status data is imported into a pre-constructed optimization objective function. Through iterative solving, the optimal fuel system control parameters are output. These parameters include the optimized electrolyzer operating power and the optimized steam mass flow rate. Based on the optimized fuel system control parameters, the fuel system is controlled. Thus, this invention can reduce the cost of producing clean fuel while meeting the hydrogen-to-carbon ratio requirements of the syngas from the biomass gasification green hydrogen co-production hydrogen-based fuel system. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 A flowchart of a control method for a biomass gasification green hydrogen co-production hydrogen-based fuel system according to one embodiment is shown. Figure 2 This is a hardware architecture diagram of an electronic device provided in an embodiment of the present invention; Figure 3 A structural diagram of the control device for a biomass gasification green hydrogen co-production hydrogen-based fuel system according to one embodiment is shown. Figure 4 A schematic diagram of a biomass gasification green hydrogen co-production hydrogen-based fuel system according to one embodiment is shown.

[0013] Figure label: 10 - Power generation unit; 20 - Water electrolysis device; 30 - Gasifier; 40 - Steam generator; 50 - Gas purification device; 60-Hydrogenated gas mixture storage tank; 70 - Controller. Detailed Implementation

[0014] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the scope of protection of the present invention.

[0015] Please refer to Figure 1 This invention provides a control method for a biomass gasification green hydrogen co-production hydrogen-based fuel system, applied to a controller for the biomass gasification green hydrogen co-production hydrogen-based fuel system. The fuel system includes a controller and a steam generator 40, a gasifier 30, a gas purification device 50, a hydrogen-added mixed gas storage tank 60 connected in sequence, a fuel synthesis device connected in sequence to a power generation device 10 and a water electrolysis device 20, the water electrolysis device 20 being connected to the gasifier 30 and the hydrogen-added mixed gas storage tank 60 respectively, including: Step 100: Obtain multi-source status data, which includes the actual operating power and real-time electricity price of the power generation device 10; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas in the water electrolysis device 20; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier 30. Step 102: Input the multi-source state data into the preset objective function to obtain the optimized fuel system control parameters; wherein, the fuel system control parameters include the optimized electrolyzer operating power and the optimized steam mass flow rate; the preset objective function is used to optimize the cost of producing clean fuel under the premise of meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. Step 104: Control the fuel system based on the optimized fuel system control parameters.

[0016] In this embodiment, firstly, multi-source status data of the system operation is collected in real time. This multi-source status data includes the actual operating power and real-time electricity price of the power generation unit 10; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas in the water electrolysis unit 20; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier 30, reflecting the real-time operating status of the system and the characteristics of the feedstock. All collected multi-source status data is imported into a pre-constructed optimization objective function, and an intelligent algorithm is used to iteratively solve the problem, outputting the optimal fuel system control parameters. These parameters include the optimized electrolyzer operating power and the optimized steam mass flow rate. Based on the optimized fuel system control parameters, the fuel system is controlled. Thus, this invention can reduce the cost of producing clean fuel while meeting the hydrogen-to-carbon ratio requirements of the syngas in a biomass gasification green hydrogen co-production hydrogen-based fuel system.

[0017] In one embodiment of the present invention, the preset objective function is constructed by the following formula: In the formula, The objective function value, To predict the total hydrogen-based fuel production within a cycle, where T is the cycle length, This refers to the real-time hydrogen-to-carbon ratio of syngas. The target hydrogen-to-carbon ratio for syngas. This represents the actual operating power. For real-time electricity prices, For the efficiency of the electrolytic cell, This is the real-time water vapor mass flow rate. For the cost of water vapor, The syngas-fuel molar conversion factor, This represents the total net molar flow rate of syngas. For the conversion rate of hydrogen-based fuel synthesis, The market price per unit of hydrogen-based fuel. This is the first dynamic weighting coefficient. This is the second dynamic weighting coefficient. This is the third dynamic weighting coefficient. This is the fourth dynamic weighting coefficient.

[0018] In this embodiment, the objective function J is first calculated. Its expression is the weighted sum of four cost and benefit terms at each time t within the prediction period T, divided by the total hydrogen-based fuel production, to achieve an economic assessment of unit output. The first term is the weighted square of the deviation between the real-time hydrogen-to-carbon ratio of syngas and the target hydrogen-to-carbon ratio, used to measure the accuracy of hydrogen-to-carbon ratio control. The second term is the weighted product of the real-time electricity price of the electrolyzer operating power, the electrolyzer efficiency, and the energy consumption cost of the electrolysis hydrogen production process. The third term is the weighted product of the steam mass flow rate and the steam cost, representing the material cost of the steam supply process. The fourth term is the weighted negative product of the syngas-fuel molar conversion coefficient, the net total syngas molar flow rate, the hydrogen-based fuel synthesis conversion rate, and the unit hydrogen-based fuel market price, representing the revenue reduction brought about by fuel production. Through the comprehensive calculation of the above four terms, the objective function J achieves quantitative optimization of overall production costs and benefits under the constraint of the syngas hydrogen-to-carbon ratio.

[0019] In this embodiment, a composite objective function is constructed, comprising a real-time hydrogen-to-carbon ratio deviation term for syngas, an electrolysis energy consumption cost term, a steam consumption cost term, and a hydrogen-based fuel revenue inverse term. Four sets of weighting coefficients are introduced, dynamically adjusted over time. Combined with the total fuel production and time span within the prediction period as a normalization benchmark, the controller can comprehensively weigh the hydrogen-to-carbon ratio control accuracy, the economic consumption of electricity and steam, and the market value of fuel production in real time. This allows for the automatic calculation of the optimal combination of electrolyzer operating power and steam mass flow rate, minimizing the system's net operating cost, while strictly meeting the syngas hydrogen-to-carbon ratio process constraints. This objective function, through mathematical modeling, unifies previously discrete process parameters and market variables into a single optimization framework, overcoming the limitations of traditional methods that rely solely on hydrogen-to-carbon ratio feedback control. It significantly improves the system's economic operating capability under complex conditions such as fluctuating electricity prices, changing fuel prices, and dynamic fluctuations in conversion efficiency. Ultimately, it maximizes cost-effectiveness and market competitiveness while ensuring compliance with clean fuel production regulations.

[0020] In one embodiment of the present invention, the real-time hydrogen-to-carbon ratio of the syngas is determined by the following formula: In the formula, For hydrogen production rate, It is carbon monoxide. For biomass gasification efficiency. It is a biomass elemental component. The rate of the water-gas shift reaction.

[0021] In this embodiment, the formula for calculating the real-time hydrogen-to-carbon ratio of syngas is established by creating the real-time hydrogen-to-carbon ratio M of syngas. t With biomass gasification efficiency Biomass elemental composition Water-gas shift reaction rate and electrolytic cell efficiency The explicit functional relationship between them allows for the direct calculation of hydrogen production rate using existing collectable parameters from the system. With carbon monoxide production rate This allows for the real-time acquisition of accurate hydrogen-carbon ratio values ​​without relying on external hydrogen-carbon ratio sensors or indirect estimation methods. This calculation method deeply integrates the chemical reaction mechanism of the gasification process with the efficiency impact of hydrogen electrolysis, enabling the system to perform precise closed-loop control of the hydrogen-carbon ratio based on a real physical model during dynamic operation. This effectively supports the real-time optimization of the objective function for syngas composition constraints, ultimately achieving stable production of clean fuels that meet hydrogen-carbon ratio requirements at the lowest cost. It avoids problems such as decreased fuel synthesis efficiency or catalyst deactivation caused by hydrogen-carbon ratio imbalance, significantly improving the overall economy and operational stability of the system.

[0022] In one embodiment of the present invention, the first dynamic weighting coefficient, the second dynamic weighting coefficient, the third dynamic weighting coefficient, and the fourth dynamic weighting coefficient are determined by the following formula: In the formula, As the benchmark weight for the first cost item, As the benchmark weight for the second cost item, As the benchmark weight for the third cost item, As the benchmark weight for the fourth cost item, This is the first weighting adjustment coefficient. This is the second weighting adjustment factor. This is the third weighting adjustment factor. This is the fourth weighting adjustment factor. To preset the electricity price threshold, This is the rated feed rate for biomass raw materials.

[0023] In this embodiment, by introducing a dynamic adjustment mechanism of three indices and absolute values ​​based on the ratio of real-time electricity price to a preset electricity price threshold, and a linear revenue weight adjustment mechanism based on the deviation of biomass feed amount from the rated value, the weights of the hydrogen-to-carbon ratio deviation penalty term, electrolysis energy consumption cost term, steam consumption cost term, and hydrogen-based fuel revenue term in the objective function are adaptively changed in real time according to the system operating conditions: when the electricity price is higher than the threshold, the weight of the hydrogen-to-carbon ratio deviation penalty is increased to ensure the quality of syngas, the weight of the electrolysis energy consumption cost increases exponentially to suppress power consumption during periods of high electricity prices, and the weight of the steam cost decreases exponentially to reduce unnecessary steam expenditure; when the biomass feed amount is lower than the rated value, the weight of fuel synthesis revenue is adjusted down accordingly to avoid economic losses caused by excessive pursuit of output due to insufficient raw materials. Thus, even under non-ideal operating conditions such as drastic fluctuations in electricity prices or unstable raw material supply, the system control parameters can still be accurately guided to converge towards the global economic optimum, effectively avoiding control inaccuracies and increased operating costs caused by traditional fixed weight strategies, and significantly improving the system's cost optimization adaptability and operational stability in complex external environments.

[0024] like Figure 4 As shown, in this embodiment, the fuel system includes a controller 70 (the center of the controller in the figure) and a gasifier 30, a steam generator 40, a gas purification device 50, a hydrogenated mixed gas storage tank 60 connected in sequence, a fuel synthesis device (fuel synthesis in the figure) and a power generation device 10 and a water electrolysis device 20 connected in sequence. The water electrolysis device 20 is connected to the gasifier 30 and the hydrogenated mixed gas storage tank 60 respectively.

[0025] like Figure 2 , Figure 3As shown, this embodiment of the invention provides a control device for a biomass gasification green hydrogen co-production hydrogen-based fuel system. The device embodiment can be implemented through software, hardware, or a combination of both. From a hardware perspective, as... Figure 2 The diagram shown is a hardware architecture diagram of the electronic device containing the control device of a biomass gasification green hydrogen co-production hydrogen-based fuel system provided in an embodiment of the present invention. (Except for...) Figure 2 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing packets. Taking software implementation as an example, such as... Figure 3 As shown, a device in a logical sense is formed by the CPU of the electronic device in which it is located reading the corresponding computer program from the non-volatile memory into the memory for execution.

[0026] like Figure 3 As shown, this embodiment provides a control device for a biomass gasification green hydrogen co-production hydrogen-based fuel system. The device is applied to the controller of the biomass gasification green hydrogen co-production hydrogen-based fuel system. The fuel system includes a controller 70 and, in sequence, a gasifier 30, a steam generator 40, a gas purification device 50, a hydrogen-added mixed gas storage tank 60, a fuel synthesis device, and, in sequence, a power generation device 10 and a water electrolysis device 20. The water electrolysis device 20 is connected to the gasifier 30 and the hydrogen-added mixed gas storage tank 60, and includes: The data acquisition module 300 is used to acquire multi-source status data, including the actual operating power and real-time electricity price of the power generation device 10; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas of the water electrolysis device 20; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier 30. The first data processing module 302 is used to input multi-source state data into a preset objective function to obtain optimized fuel system control parameters; wherein, the fuel system control parameters include the optimized electrolyzer operating power and the optimized water vapor mass flow rate; the preset objective function is used to optimize the cost of producing clean fuel under the premise of meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. The second data processing module 304 is used to control the fuel system based on the optimized fuel system control parameters.

[0027] In one embodiment of the present invention, the preset objective function is constructed by the following formula: In the formula, The objective function value, To predict the total hydrogen-based fuel production within a cycle, where T is the cycle length, This refers to the real-time hydrogen-to-carbon ratio of syngas. The target hydrogen-to-carbon ratio for syngas. This represents the actual operating power. For real-time electricity prices, For the efficiency of the electrolytic cell, This is the real-time water vapor mass flow rate. For the cost of water vapor, The syngas-fuel molar conversion factor, This represents the total net molar flow rate of syngas. For the conversion rate of hydrogen-based fuel synthesis, The market price per unit of hydrogen-based fuel. This is the first dynamic weighting coefficient. This is the second dynamic weighting coefficient. This is the third dynamic weighting coefficient. This is the fourth dynamic weighting coefficient.

[0028] In one embodiment of the present invention, the real-time hydrogen-to-carbon ratio of the syngas is determined by the following formula: In the formula, For hydrogen production rate, The carbon monoxide production rate, For biomass gasification efficiency. It is a biomass elemental component. The rate of the water-gas shift reaction.

[0029] In one embodiment of the present invention, the first dynamic weighting coefficient, the second dynamic weighting coefficient, the third dynamic weighting coefficient, and the fourth dynamic weighting coefficient are determined by the following formula: In the formula, As the benchmark weight for the first cost item, As the benchmark weight for the second cost item, As the benchmark weight for the third cost item, As the benchmark weight for the fourth cost item, This is the first weighting adjustment coefficient. This is the second weighting adjustment factor. This is the third weighting adjustment factor. This is the fourth weighting adjustment factor. To preset the electricity price threshold, This is the rated feed rate for biomass raw materials.

[0030] It is understood that the structures illustrated in the embodiments of the present invention do not constitute a specific limitation on the control device of a biomass gasification green hydrogen co-production hydrogen-based fuel system. In other embodiments of the present invention, a control device for a biomass gasification green hydrogen co-production hydrogen-based fuel system may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0031] The information interaction and execution process between the modules in the above-mentioned device are based on the same concept as the method embodiment of the present invention, and the specific details can be found in the description of the method embodiment of the present invention, and will not be repeated here.

[0032] This invention also provides an electronic device, including a memory and a processor. The memory stores a computer program, and when the processor executes the computer program, it implements a control method for a biomass gasification green hydrogen co-production hydrogen-based fuel system according to any embodiment of this invention.

[0033] This invention also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program causes the processor to perform a control method for a biomass gasification green hydrogen co-production hydrogen-based fuel system according to any embodiment of this invention.

[0034] Specifically, a system or apparatus equipped with a storage medium may be provided, on which software program code implementing the functions of any of the embodiments described above is stored, and the computer (or CPU or Mpu) of the system or apparatus may read and execute the program code stored in the storage medium.

[0035] In this case, the program code read from the storage medium can itself implement the function of any of the above embodiments, and therefore the program code and the storage medium storing the program code constitute part of the present invention.

[0036] Examples of storage media used to provide program code include floppy disks, hard disks, magneto-optical disks, optical disks (such as Cd-ROM, Cd-R, Cd-Rw, DVD-ROM, DVD-Ram, DVD-Rw, DVD+Rw), magnetic tapes, non-volatile memory cards, and ROMs. Alternatively, program code can be downloaded from a server computer via a communication network.

[0037] Furthermore, it should be clear that not only can the program code read by the computer be executed, but also the operating system or other components operating on the computer can be instructed based on the program code to perform some or all of the actual operations, thereby realizing the function of any of the embodiments described above.

[0038] Furthermore, it is understood that the program code read from the storage medium is written to the memory set in the expansion board inserted into the computer or to the memory set in the expansion module connected to the computer. Then, based on the instructions of the program code, the CPU or other device installed on the expansion board or expansion module executes some and all of the actual operations, thereby realizing the function of any of the embodiments described above.

[0039] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus.

[0040] Those skilled in the art will understand that all or part of the steps of the above method embodiments can be implemented by hardware related to program instructions. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it performs the steps of the above method embodiments. The aforementioned storage medium includes various media that can store program code, such as ROM, RAM, magnetic disk, or optical disk.

[0041] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A control method for a biomass gasification green hydrogen co-production hydrogen-based fuel system, characterized in that, The method is applied to the controller of a biomass gasification green hydrogen co-production hydrogen-based fuel system. The fuel system includes a controller and, in sequence, a steam generator, a gasifier, a gas purification device, a hydrogenated mixed gas storage tank, a fuel synthesis device, and, in sequence, a power generation device and a water electrolysis device. The water electrolysis device is connected to both the gasifier and the hydrogenated mixed gas storage tank, and includes: Acquire multi-source state data, including the actual operating power and real-time electricity price of the power generation unit; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas in the water electrolysis unit; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier. Multi-source state data are input into a preset objective function to obtain optimized fuel system control parameters. The fuel system control parameters include optimized electrolyzer operating power and optimized steam mass flow rate. The preset objective function is used to optimize the cost of producing clean fuel while meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. Based on the optimized fuel system control parameters, the fuel system is controlled.

2. The method according to claim 1, characterized in that, The preset objective function is constructed using the following formula: In the formula, The objective function value, To predict the total hydrogen-based fuel production within a cycle, where T is the cycle length, This refers to the real-time hydrogen-to-carbon ratio of syngas. The target hydrogen-to-carbon ratio for syngas. This represents the actual operating power. For real-time electricity prices, For the efficiency of the electrolytic cell, This is the real-time water vapor mass flow rate. For the cost of water vapor, The syngas-fuel molar conversion factor, This represents the total net molar flow rate of syngas. For the conversion rate of hydrogen-based fuel synthesis, The market price per unit of hydrogen-based fuel. This is the first dynamic weighting coefficient. This is the second dynamic weighting coefficient. This is the third dynamic weighting coefficient. This is the fourth dynamic weighting coefficient.

3. The method according to claim 2, characterized in that, The real-time hydrogen-to-carbon ratio of the synthesis gas is determined by the following formula: In the formula, For hydrogen production rate, It is carbon monoxide. For biomass gasification efficiency. It is a biomass elemental component. The rate of the water-gas shift reaction.

4. The method according to claim 2, characterized in that, The first dynamic weighting coefficient, the second dynamic weighting coefficient, the third dynamic weighting coefficient, and the fourth dynamic weighting coefficient are determined by the following formula: In the formula, As the benchmark weight for the first cost item, As the benchmark weight for the second cost item, As the benchmark weight for the third cost item, As the benchmark weight for the fourth cost item, This is the first weighting adjustment coefficient. This is the second weighting adjustment factor. This is the third weighting adjustment factor. This is the fourth weighting adjustment factor. To preset the electricity price threshold, This is the rated feed rate for biomass raw materials.

5. A control device for a biomass gasification green hydrogen co-production hydrogen-based fuel system, characterized in that, The device is used as a controller for a biomass gasification green hydrogen co-production hydrogen-based fuel system. The fuel system includes a controller and, in sequence, a steam generator, a gasifier, a gas purification device, a hydrogenated mixed gas storage tank, a fuel synthesis device, and, in sequence, a power generation device and a water electrolysis device. The water electrolysis device is connected to both the gasifier and the hydrogenated mixed gas storage tank, and includes: The data acquisition module is used to acquire multi-source status data, including the actual operating power and real-time electricity price of the power generation unit; the electrolyzer efficiency and real-time hydrogen-to-carbon ratio of the syngas in the water electrolysis unit; and the real-time steam mass flow rate, biomass feed rate, and biomass elemental composition of the gasifier. The first data processing module is used to input multi-source state data into a preset objective function to obtain optimized fuel system control parameters. The fuel system control parameters include the optimized electrolyzer operating power and the optimized steam mass flow rate. The preset objective function is used to optimize the cost of producing clean fuel while meeting the hydrogen-to-carbon ratio of syngas in the biomass gasification green hydrogen co-production hydrogen-based fuel system. The second data processing module is used to control the fuel system based on the optimized fuel system control parameters.

6. The control device according to claim 5, characterized in that, The preset objective function is constructed using the following formula: In the formula, The objective function value, To predict the total hydrogen-based fuel production within a cycle, where T is the cycle length, This refers to the real-time hydrogen-to-carbon ratio of syngas. The target hydrogen-to-carbon ratio for syngas. This represents the actual operating power. For real-time electricity prices, For the efficiency of the electrolytic cell, This is the real-time water vapor mass flow rate. For the cost of water vapor, The syngas-fuel molar conversion factor, This represents the total net molar flow rate of syngas. For the conversion rate of hydrogen-based fuel synthesis, The market price per unit of hydrogen-based fuel. This is the first dynamic weighting coefficient. This is the second dynamic weighting coefficient. This is the third dynamic weighting coefficient. This is the fourth dynamic weighting coefficient.

7. The control device according to claim 6, characterized in that, The real-time hydrogen-to-carbon ratio of the synthesis gas is determined by the following formula: In the formula, For hydrogen production rate, This represents the carbon monoxide production rate. For biomass gasification efficiency. It is a biomass elemental component. The rate of the water-gas shift reaction.

8. The control device according to claim 6, characterized in that, The first dynamic weighting coefficient, the second dynamic weighting coefficient, the third dynamic weighting coefficient, and the fourth dynamic weighting coefficient are determined by the following formula: In the formula, As the benchmark weight for the first cost item, As the benchmark weight for the second cost item, As the benchmark weight for the third cost item, As the benchmark weight for the fourth cost item, This is the first weighting adjustment coefficient. This is the second weighting adjustment factor. This is the third weighting adjustment factor. This is the fourth weighting adjustment factor. To preset the electricity price threshold, This is the rated feed rate for biomass raw materials.

9. An electronic device, characterized in that, It includes a memory and a processor, wherein the memory stores a computer program, and the processor executes the computer program to implement the method as described in any one of claims 1-4.

10. A computer-readable storage medium, characterized in that, It stores a computer program that, when executed in a computer, causes the computer to perform the method described in any one of claims 1-4.

Images