One-dimensional simulation model for filtering, burning, gasifying and cracking process of solid fuel moving bed

Abstract

The invention relates to a one-dimensional simulation model for a solid fuel moving bed filtration, combustion, gasification and cracking process, and belongs to the technical field of solid fuel combustion and gasification simulation. Comprising an input module, an array setting module, an initialization module, a mobile grid module, a core calculation module and a chart output module. The device can be used for the mixed combustion process and working conditions, and simulation of industrial continuous operation is achieved.

Description

Technical Field

[0001] The invention relates to a one-dimensional simulation method for a moving bed filtering combustion gasification cracking process, and belongs to the technical field of solid fuel combustion gasification simulation. Background Art

[0002] Climate change, strict emission standards and the depletion of traditional energy sources have put forward more stringent requirements for clean combustion technology. In 2022, global annual carbon dioxide emissions from combustion and industrial processes have reached 3.67 billion tons. The situation will grow further in 2023, posing a serious threat to human health and climate change. Fossils as a source of hydrocarbons are not a viable solution to meet long-term energy and environmental needs. In addition, the traditional fuel supply chain needs to be upgraded to cope with the growing world population and the resulting energy needs. Against this background, synthesis gas production technology has been developed, and the energy content per unit mass of hydrogen is as high as 141.9MJ / kg, which is an excellent alternative to fossil fuels. Synthesis gas is mainly composed of H 2 and CO, and also contains a small amount of CO 2 , nitrogen and methane. Synthesis gas itself is a fuel and is also used in the synthesis and production of some chemicals. At present, synthesis gas can be produced by thermochemical methods such as dry reforming, steam reforming and partial oxidation. Through fuzzy set theory, fuzzy comprehensive evaluation of various hydrogen production technologies shows that from the perspective of contribution rate to environmental quality improvement, environmental benefits obtained through the production of clean energy, and energy-economy-environmental comprehensive evaluation, solid fuel gasification hydrogen production has the highest evaluation value and is the preferred gasification hydrogen production technology that should be considered in the short and medium term.

[0003] Porous media combustion is a method of generating synthesis gas through fuel combustion and gasification. It has the advantages of integration, miniaturization and strong fuel adaptability, and generates low pollutant content. However, mixed filtration combustion in porous media is a complex process involving the coupling of three heat transfer modes: convection, heat conduction and radiation. There is no clear understanding of basic issues such as the solid fuel gasification reaction mechanism, the coupling law of chemical reaction and flow, heat transfer and mass transfer processes, and it is restricted by the limitations of existing observation equipment. For example, in the prior art, "Unsteady Simulation of Ignition of Turbulent Reactive Swirling Flow of Novel Design of Solid-Fuel Ramjet Motor", a numerical study was conducted on the ignition and combustion stability of a new solid fuel ramjet engine (SFRJ) to simulate the solid combustion process, but the fuel is pure solid, and the fuel in the solid fuel moving bed filtration combustion gasification cracking process contains inert porous media particles, so the model cannot simulate this working condition. In the prior art "Application of Moving Grid Technology in Numerical Simulation of Computational Fluid Dynamics", based on the harmonic mapping theory, the moving grid technology is applied to the numerical simulation calculation of computational fluid dynamics, which solves the problem that the traditional fixed grid cannot simulate large deformations, and simulates the movement of the oil in the oil tank when it shakes. However, for the solid fuel moving bed filtration combustion gasification cracking process, the reactor is a mixture of solid fuel particles and inert porous media, and it is necessary to simulate the movement process of the materials in the entire reactor. Therefore, the technology proposed in this paper cannot be applied to the mixed filtration combustion process. Therefore, solving these problems requires combining simulation calculation methods to explore. Mixed filtration combustion simulation is a comprehensive problem of multiphase flow, multi-scale and multi-physical fields. The simulation models or commercial software currently established can only simulate fixed bed conditions, but cannot achieve moving bed conditions, that is, the simulation of continuous operation in industry, and can only analyze the combustion process in fragments.

[0004] Therefore, it is urgent to propose a one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process to solve the above technical problems. Summary of the invention

[0005] In order to solve the above problems, a one-dimensional simulation model of a solid fuel moving bed filtering combustion gasification cracking process is provided. A brief overview of the present invention is given below to provide a basic understanding of certain aspects of the present invention. It should be understood that this overview is not an exhaustive overview of the present invention. It is not intended to determine the key or important parts of the present invention, nor is it intended to limit the scope of the present invention.

[0006] The technical solution of the present invention:

[0007] One-dimensional simulation model of solid fuel moving bed filtering combustion gasification cracking process, including:

[0008] Input module: reads the user-defined initial flow field values, including initial temperature, initial velocity, initial fuel blending ratio, and reaction mechanism related parameters;

[0009] Array setting module: define the required array length according to the calculation parameters;

[0010] Initialization module: Use the initialization module to initialize the flow field; initialization includes assigning the initial state of the flow field;

[0011] Moving grid module: When the flame spreads from the bottom to the middle of the reactor, the bottom of the reactor begins to load and discharge in an orderly manner. In order to simulate this process, the moving grid module makes the reactor move in an orderly manner to simulate the loading and discharging process.

[0012] Core calculation module: The calculation is divided into multiple time steps, and the model equation is iteratively calculated in each time step;

[0013] Chart output module: After the calculation is completed, the chart output module is used to output the simulation calculation values, including the temperature, CO, and CO of each grid. 2 , O 2 Component concentration.

[0014] Preferably: the input module includes:

[0015] Experimental parameter module: including the mixing ratio of fuel and inert porous medium, the type of inert porous medium, the volume flow rate of oxidant, the fuel density, the reactor length, the particle size of inert medium, the mixed porosity of fuel and inert porous medium, the loading height, the solid phase thermal conductivity and the gas phase thermal conductivity;

[0016] Calculation parameter module: including the number of grids, the number of total calculation time steps, the time interval of output files, the time interval of output charts, the number of iterations for each time step, the convergence residual for each time step, and the file name of the residual and output data for each time step;

[0017] Reaction mechanism module: including homogeneous chemical reaction mechanism and heterogeneous chemical reaction mechanism. The reaction mechanism adopts a four-step reaction mechanism. The reaction mechanism is as follows:

[0018] R1:C (s) +O 2 →CO 2

[0019] R2:2C (s) +O 2 →2CO

[0020] R3:C(s) +CO 2 →2CO

[0021] R4:2CO+O 2 →2CO 2

[0022] The input mechanism parameters include pre-exponential factor, activation energy and temperature exponent;

[0023] Boundary condition module: includes the initial temperature of the flow field, the temperature of the ignition area and the width percentage of the ignition area.

[0024] Preferred: Array setting module: used to store data of each variable according to the length of the parameter size input by the user in the input module.

[0025] Preferred: Initialization module: Use the parameters input by the input module to initialize the flow field, convert the temperature value into Kelvin temperature, and calculate the specific surface area SA of the porous medium, where ε is the porosity, d p Refers to the characteristic diameter of inert porous media and is used for simulation calculations.

[0026]

[0027] Preferred: Moving grid module: closed by default at the beginning, when the flame propagates from the bottom to the middle of the reactor, half of the length of the reactor is divided by the time taken for the flame to propagate from the bottom to the middle of the reactor to obtain the flame propagation speed, and then the bottom of the reactor begins to continuously add material, the addition speed is consistent with the flame propagation speed, the bottom of the reactor begins to discharge material in an orderly manner, and the discharge speed is also consistent with the flame propagation speed, so that the flame can be stabilized in the middle area of ​​the reactor to achieve a stable operating state; in order to simulate the process, at T minutes, the flame propagates to the middle of the reactor, and at T+△t time, the flame propagates to the next grid, at this time, the moving grid module adds a grid at the right end of the reactor, and the internal parameters of the grid are consistent with the internal parameters after the initialization module; at the same time, a grid is removed at the left end of the reactor, so that the flame in the reactor is always maintained in the middle position of the reactor, and the simulation of the feeding and discharging process is realized by the relative movement of the grid.

[0028] Optimum: The chart output module outputs the simulation calculation value after the calculation is completed, including the temperature, CO, CO 2 , O 2 Component concentration; the calculation is divided into multiple time steps, and the model equation is iteratively calculated in each time step. The iterative method uses the core calculation module for calculation. Therefore, when the calculation reaches the time interval of the user-defined output chart, the module will be used for icon output.

[0029] Preferred: The core calculation module iteratively solves the entire model equation, assuming that the fuel particles are non-volatile and water-free, the particle size remains unchanged during combustion, and no components remain after combustion; the oxidant is an incompressible ideal gas, the solid fuel particles and the inert medium particles are evenly mixed, and the gas flow rate in the reactor remains constant; the model equation includes the gas phase energy equation, the solid phase energy equation, the mass equation, and the component transport equation. It is assumed here that the gas flow rate is constant, so there is no momentum equation; the iteration of all equations uses the Newton iteration method for transient solution.

[0030] The present invention has the following beneficial effects:

[0031] The present invention can be used for mixed combustion processes and working conditions. After the oxidant enters the reactor, it undergoes gasification and cracking reactions with solid fuel particles to produce carbon monoxide. The combustion area is in the middle area. The heat generated gasifies and cracks the solid fuel in the mixture above the flame in the form of radiation and heat conduction. The mobile grid module enables the reactor to move in an orderly manner in the direction of the flame movement, and the simulation of the feeding and discharging process is realized in a relative motion manner. At the same time, the radiation and convection heat transfer of the flame transfer excess heat to the inert porous medium, and the heat is transferred to the oxidant in the feed pipe as the discharge proceeds, and the oxidant is preheated so that the combustion temperature is higher than the adiabatic flame temperature to achieve a super-adiabatic combustion state. The higher combustion temperature can replace the role of the catalyst and accelerate the gasification and cracking of the solid fuel. Since the combustion temperature is between 700-900°C, the generation of NOx can be avoided to a large extent, and the simulation of continuous operation in industry can be realized. BRIEF DESCRIPTION OF THE DRAWINGS

[0032] Figure 1 It is a structural diagram of a one-dimensional simulation model of a solid fuel moving bed filtering combustion gasification cracking process.

[0033] Figure 2 This is the schematic diagram of the moving grid module. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the present invention clearer, the present invention is described below by the specific embodiments shown in the accompanying drawings. However, it should be understood that these descriptions are only exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, the description of well-known structures and technologies is omitted to avoid unnecessary confusion of the concept of the present invention.

[0035] Specific implementation method 1: Combination Figure 1-2 This embodiment describes a one-dimensional simulation model of a solid fuel moving bed filtering combustion gasification cracking process in this embodiment. A one-dimensional simulation model of a solid fuel moving bed filtering combustion gasification cracking process is established, which can explore the details of combustion and can also use the simulation results to optimize the process flow, including the main calculation thread, specifically including:

[0036] Input module: reads the user-defined initial flow field values, which include calculation parameters such as initial temperature, initial velocity, initial fuel blending ratio, reaction mechanism related parameters, etc.; reaction mechanism related parameters include pre-exponential factor, activation energy and temperature index of R1-R4 reaction formula;

[0037] The input modules include:

[0038] Experimental parameter module: including the mixing ratio of fuel and inert porous medium, the type of inert porous medium, the volume flow rate of oxidant, the fuel density, the reactor length, the particle size of inert medium, the mixed porosity of fuel and inert porous medium, the loading height, the solid phase thermal conductivity and the gas phase thermal conductivity;

[0039] Calculation parameter module: including the number of grids, the number of total calculation time steps, the time interval of output files, the time interval of output charts, the number of iterations for each time step, the convergence residual for each time step, and the file name of the residual and output data for each time step;

[0040] Reaction mechanism module: including homogeneous chemical reaction mechanism and heterogeneous chemical reaction mechanism. The reaction mechanism adopts a four-step reaction mechanism to simulate the combustion process in an inert porous medium. The reaction mechanism is as follows:

[0041] R1:C (s) +O 2 →CO 2

[0042] R2:2C (s) +O 2 →2CO

[0043] R3:C (s) +CO 2 →2CO

[0044] R4:2CO+O 2 →2CO 2

[0045] The input mechanism parameters include pre-exponential factor, activation energy and temperature exponent; as shown in the following table:

[0046] Reactive Pre-exponential Factor activation energy Temperature Index R1-heterogeneous reaction 7.89 73097 0.5 R2-heterogeneous reaction 223.3 149901 1 R3-Heterogeneous reaction 1e+13 355300 0 R4-Homogeneous reaction 3e+7 118832 0

[0047] Boundary condition module: including the initial temperature of the flow field, the temperature of the ignition area and the width percentage of the ignition area, defining the physical conditions on the boundary;

[0048] Array setting module: The input module reads the calculation parameters input by the user and defines the required array length according to the calculation parameters to meet the storage space required for processing data;

[0049] Array setting module: used to store the data of each variable according to the length of the parameter size input by the user in the input module; the variables include: the values ​​of all variables contained in the input module, array setting module, initialization module, moving grid module, chart output module and core calculation module;

[0050] Initialization module: After the array is defined, the flow field is initialized using the initialization module; initialization includes assigning values ​​to the initial state of the flow field and then starting calculations; providing conditions for iterative calculations;

[0051] Initialization module: Use the parameters input by the input module to initialize the flow field, convert the temperature value into Kelvin temperature, and calculate the specific surface area SA of the porous medium, where ε is the porosity and d is the porosity. p Refers to the characteristic diameter of inert porous media, used for simulation calculations;

[0052]

[0053] Moving grid module: When the flame spreads from the bottom to the middle of the reactor, the bottom of the reactor begins to be charged and discharged in an orderly manner. In order to simulate this process, the moving grid module makes the reactor move in an orderly manner to simulate the charging and discharging process.

[0054] Moving grid module: It is closed by default at the beginning. When the flame propagates from the bottom to the middle of the reactor, the flame propagation speed can be obtained by dividing half of the reactor length by the time taken for the flame to propagate from the bottom to the middle of the reactor. Then, the bottom of the reactor starts to continuously add materials, and the adding speed is consistent with the flame propagation speed. The bottom of the reactor starts to discharge materials in an orderly manner, and the discharge speed is also consistent with the flame propagation speed. In this way, the flame can be stabilized in the middle area of ​​the reactor to achieve a stable operation state. In order to simulate this process, the principle of the moving grid module is shown in the figure below. At T minutes, the flame propagates to the middle of the reactor. At T+△t time, the flame propagates to the next grid. At this time, the moving grid module adds a grid at the right end of the reactor, and the internal parameters of the grid are consistent with the internal parameters after the initialization module. At the same time, a grid is removed at the left end of the reactor so that the flame in the reactor is always maintained in the middle of the reactor, and the simulation of the feeding and discharging process is realized by the relative movement of the grids.

[0055] Chart output module: After the calculation is completed, the chart output module is used to output the simulation calculation values, including the temperature, CO, and CO of each grid. 2 , O 2 Component concentration; the expression is intuitive and easy to display to users; the various modules in the main calculation thread work together to efficiently and accurately generate the simulation results required by users;

[0056] The chart output module is used to output the simulation calculation values ​​after the calculation is completed, including the temperature, CO, CO 2 , O 2 Component concentration; The calculation is divided into multiple time steps, and the model equation is iterated in each time step. The iterative method uses the core calculation module for calculation. Therefore, after the calculation reaches the time interval of the user-defined output chart, the module will be used for icon output;

[0057] Core calculation module: The calculation is divided into multiple time steps. The model equation is iteratively calculated in each time step. The iterative method uses the core calculation module for calculation, which is accurate and stable.

[0058] The core calculation module iteratively solves the entire model equation. The model first assumes that the fuel particles are non-volatile and water-free, the particle size remains unchanged during combustion, and no components remain after combustion; the oxidant is an incompressible ideal gas, the solid fuel particles and the inert medium particles are evenly mixed, and the gas flow rate in the reactor remains constant; the model equations include the gas phase energy equation, the solid phase energy equation, the mass equation, and the component transport equation. Here, it is assumed that the gas flow rate is constant, so there is no momentum equation; the iteration of all equations uses the Newton iteration method for transient solution;

[0059] After the oxidant enters the reactor, it reacts with the solid fuel particles to produce carbon monoxide through gasification and cracking. The combustion area is in the middle area. The heat generated gasifies and cracks the solid fuel in the mixture above the flame in the form of radiation and heat conduction. The mobile grid module enables the reactor to move in the direction of the flame in an orderly manner, and the simulation of the feeding and discharging process is realized in a relative motion manner. At the same time, the radiation and convection heat transfer of the flame transfer the excess heat to the inert porous medium, and transfer the heat to the oxidant in the feed pipe as the discharge proceeds, and the oxidant is preheated so that the combustion temperature is higher than the adiabatic flame temperature, achieving a super-adiabatic combustion state. The higher combustion temperature can replace the role of the catalyst and accelerate the gasification and cracking of the solid fuel. Since the combustion temperature is between 700-900°C, the generation of NOx can be avoided to a large extent.

[0060] The present invention can be used for mixed combustion processes and working conditions. After the oxidant enters the reactor, it undergoes gasification and cracking reactions with solid fuel particles to produce carbon monoxide. The combustion area is in the middle area. The heat generated gasifies and cracks the solid fuel in the mixture above the flame in the form of radiation and heat conduction. The mobile grid module enables the reactor to move in an orderly manner in the direction of the flame movement, and the simulation of the feeding and discharging process is realized in a relative motion manner. At the same time, the radiation and convection heat transfer of the flame transfer excess heat to the inert porous medium, and the heat is transferred to the oxidant in the feed pipe as the discharge proceeds, and the oxidant is preheated so that the combustion temperature is higher than the adiabatic flame temperature to achieve a super-adiabatic combustion state. The higher combustion temperature can replace the role of the catalyst and accelerate the gasification and cracking of the solid fuel. Since the combustion temperature is between 700-900°C, the generation of NOx can be avoided to a large extent, and the simulation of continuous operation in industry can be realized.

[0061] Embodiment 1:

[0062] The embodiment of the present invention is an algorithm structure and a specific simulation process of a one-dimensional simulation model of a solid fuel moving bed filtering combustion gasification cracking process to further illustrate the present invention. Those skilled in the art should understand that the following specific description is illustrative rather than restrictive and should not be used to limit the scope of protection of the present invention.

[0063] The one-dimensional simulation model of a solid fuel moving bed filtering combustion gasification cracking process in this embodiment 1 is applied in the following manner:

[0064] First, the user inputs the initial values ​​required for the simulation in the experimental parameter module, calculation parameter module, reaction mechanism module and boundary condition module in the input module. The experimental module includes the mixing ratio of fuel and inert porous medium, the type of inert porous medium, the volume flow rate of oxidant, fuel density, reactor length, inert medium particle size, mixed porosity of fuel and inert porous medium, loading height, solid phase thermal conductivity and gas phase thermal conductivity; the calculation module includes the number of grids, the number of total calculation time steps, the time interval of output files, the time interval of output charts, the number of iterations for each time step, the convergence residual for each time step and the file name of the output data; the reaction mechanism module includes the pre-exponential factor, activation energy and temperature exponent of homogeneous chemical reaction mechanism and heterogeneous chemical reaction mechanism; the boundary condition module includes the initial temperature of the flow field, the temperature of the ignition area and the ignition area Width percentage; after these required parameters are input, the array module is used to store the data of each variable according to the length of the parameter size entered by the user in the input module. The initialization module uses the parameters entered by the input module to initialize the flow field and convert the temperature value into Kelvin temperature, calculate the specific surface area of ​​the porous medium for simulation calculation, and assign the initial temperature value to the ignition area; then after ignition, the flame begins to spread from the bottom of the reactor to the upstream. When the flame spreads from the bottom to the middle of the reactor, the bottom of the reactor begins to be fed and discharged in an orderly manner. In order to simulate this process, the moving grid module makes the reactor move in an orderly manner in the direction of the flame movement, and realizes the simulation of the feeding and discharging process in a relative motion manner; the chart output module outputs the simulation calculation value after each time step calculation, including the temperature, CO, CO of the solid and gas of each grid 2 , O 2 Component concentration; The calculation is divided into multiple time steps, and the model equation is iteratively calculated in each time step. The iterative method uses the core calculation module for calculation. Therefore, after the calculation reaches the time interval of the user-defined output chart, the module will be used to output the chart; The model equation includes the gas phase energy equation, the solid phase energy equation, the mass equation, and the component transport equation. It is assumed here that the gas flow rate is constant, so there is no momentum equation; The iteration of all equations uses the Newton iteration method for transient solution.

[0065] It should be noted that in the above embodiments, as long as the technical solutions are not contradictory, they can be arranged and combined, and those skilled in the art can exhaust all possibilities based on the mathematical knowledge of arrangement and combination. Therefore, the present invention will no longer describe the technical solutions after arrangement and combination one by one, but it should be understood that the technical solutions after arrangement and combination have been disclosed by the present invention.

[0066] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. One-dimensional simulation model of solid fuel moving bed filtration combustion gasification cracking process, characterized by: include: Input module: reads the user-defined initial flow field values, including initial temperature, initial velocity, initial fuel blending ratio, and reaction mechanism related parameters; Array setting module: define the required array length according to the calculation parameters; Initialization module: Use the initialization module to initialize the flow field; initialization includes assigning the initial state of the flow field; Moving grid module: When the flame spreads from the bottom to the middle of the reactor, the bottom of the reactor begins to load and discharge in an orderly manner. In order to simulate this process, the moving grid module makes the reactor move in an orderly manner to simulate the loading and discharging process. Core calculation module: The calculation is divided into multiple time steps, and the model equation is iteratively calculated in each time step; Chart output module: After the calculation is completed, the chart output module is used to output the simulation calculation values, including the temperature, CO, CO2, and O2 component concentrations of each grid.

2. The one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process according to claim 1 is characterized in that: The input modules include: Experimental parameter module: including the mixing ratio of fuel and inert porous medium, the type of inert porous medium, the volume flow rate of oxidant, the fuel density, the reactor length, the particle size of inert medium, the mixed porosity of fuel and inert porous medium, the loading height, the solid phase thermal conductivity and the gas phase thermal conductivity; Calculation parameter module: including the number of grids, the number of total calculation time steps, the time interval of output files, the time interval of output charts, the number of iterations for each time step, the convergence residual for each time step, and the file name of the residual and output data for each time step; Reaction mechanism module: including homogeneous chemical reaction mechanism and heterogeneous chemical reaction mechanism. The reaction mechanism adopts a four-step reaction mechanism. The reaction mechanism is as follows: R1:C (s) +O2→CO2 R2:2C (s) +O2→2CO R3:C (s) +CO2→2CO R4:2CO+O2→2CO2 The input mechanism parameters include pre-exponential factor, activation energy and temperature exponent; Boundary condition module: includes the initial temperature of the flow field, the temperature of the ignition area and the width percentage of the ignition area.

3. The one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process according to claim 2 is characterized in that: Array setting module: used to store the data of each variable according to the length of the parameter size entered by the user in the input module.

4. The one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process according to claim 3 is characterized in that: Initialization module: Use the parameters input by the input module to initialize the flow field, convert the temperature value into Kelvin temperature, and calculate the specific surface area SA of the porous medium, where ε is the porosity, d p Refers to the characteristic diameter of inert porous media, used for simulation calculations; 5. The one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process according to claim 4 is characterized in that: Moving grid module: It is closed by default at the beginning. When the flame propagates from the bottom to the middle of the reactor, the flame propagation speed can be obtained by dividing half of the reactor length by the time it takes for the flame to propagate from the bottom to the middle of the reactor. Then, continuous feeding begins at the bottom of the reactor, and the feeding speed is consistent with the flame propagation speed. The bottom of the reactor begins to discharge in an orderly manner, and the discharge speed is also consistent with the flame propagation speed. In this way, the flame can be stabilized in the middle area of ​​the reactor to achieve a stable operating state. In order to simulate this process, at T minutes, the flame propagates to the middle of the reactor, and at T+△t time, the flame propagates to the next grid. At this time, the moving grid module adds a grid at the right end of the reactor, and the internal parameters of the grid are consistent with the internal parameters after the initialization module; at the same time, a grid is removed at the left end of the reactor so that the flame in the reactor is always maintained in the middle position of the reactor, and the simulation of the feeding and discharging process is achieved by the relative movement of the grid.

6. The one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process according to claim 5 is characterized in that: The chart output module outputs the simulation calculation values ​​after the calculation is completed, including the temperature of solids and gases in each grid, and the concentrations of CO, CO2, and O2 components; the calculation is divided into multiple time steps, and the model equation is iteratively calculated in each time step. The iterative method uses the core calculation module for calculation, so when the calculation reaches the time interval of the user-defined output chart, the module will be used for icon output.

7. The one-dimensional simulation model of the solid fuel moving bed filtering combustion gasification cracking process according to claim 6 is characterized in that: The core calculation module iteratively solves the entire model equation, assuming that the fuel particles are non-volatile and water-free, the particle size remains unchanged during combustion, and no components remain after combustion; the oxidant is an incompressible ideal gas, the solid fuel particles and the inert medium particles are evenly mixed, and the gas flow rate in the reactor remains constant; the model equation includes the gas phase energy equation, the solid phase energy equation, the mass equation, and the component transport equation. It is assumed here that the gas flow rate is constant, so there is no momentum equation; the iteration of all equations uses the Newton iteration method for transient solution.

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