CO2 dry reforming multi-physical field coupling simulation method, system and equipment based on electromagnetic induction heating driving and medium

Abstract

The invention relates to the technical field of multi-physics field simulation modeling, and discloses a CO2 dry reforming multi-physics field coupling simulation method, a CO2 dry reforming multi-physics field coupling simulation system and CO2 dry reforming multi-physics field coupling simulation device based on electromagnetic induction heating driving, and a medium. The CO2 dry reforming method driven by electromagnetic induction heating can ensure efficient energy absorption and catalytic reaction performance, uniform energy distribution in the reactor is realized, carbon deposition is remarkably reduced, the yield of synthesis gas is improved, and meanwhile, the method can be used for simulating the carbon deposition according to simulation results under different simulation conditions. According to the method, the influence of different operation parameters on the methane dry reforming reaction is deeply analyzed, valuable reference is provided for experimental design and process optimization, and dependence on a physical prototype is reduced, so that the development cost is greatly reduced, the development time is greatly shortened, and the method has important significance for realizing more efficient and more environment-friendly chemical reaction and has a wide application prospect.

Description

Technical Field

[0001] The present invention relates to the technical field of multi-physics field simulation modeling, and in particular to a multi-physics field coupling simulation method, system, equipment and medium for CO2 dry reforming driven by electromagnetic induction heating. Background Art

[0002] With the increasing global demand for efficient energy utilization and CO2 emission reduction, dry reforming of methane (DRM) is a promising technology that can produce synthesis gas suitable for further industrial synthesis (such as Fischer-Tropsch process) with a moderate H2 / CO ratio. The traditional DRM method requires external combustion heating, in which high energy consumption and inefficient heat transfer lead to extremely low energy utilization efficiency of the reaction. Therefore, it is necessary to find ways to optimize DRM.

[0003] Therefore, the present invention proposes a multi-physics field coupling simulation method, system, equipment and medium for CO2 dry reforming driven by electromagnetic induction heating, aiming to combine the electromagnetic heating model with the chemical reaction kinetics model to establish a robust coupling framework to optimize DRM under different operating conditions and improve the yield of syngas and the energy utilization efficiency of the reaction. Summary of the invention

[0004] The present invention provides a multi-physics coupling simulation method, system, equipment and medium for CO2 dry reforming driven by electromagnetic induction heating, so as to solve the defect of extremely low energy utilization efficiency of the reaction due to high energy consumption and inefficient heat transfer in the traditional DRM method.

[0005] The present invention provides a multi-physics field coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive, comprising:

[0006] Establish electromagnetic heating model;

[0007] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0008] The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the electromagnetic induction heating driven CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0009] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the establishment of an electromagnetic heating model includes:

[0010] An electromagnetic heating model is established using Maxwell's equations and eddy current equations, wherein the electromagnetic heating model includes an induction coil and a Ni-Co alloy inductor that can generate an alternating magnetic field and induce eddy currents to generate heat.

[0011] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the Maxwell equations include:

[0012] Gauss's law (passive charge):

[0013]

[0014] Where E is the electric field strength (V / m), ρ is the charge density (C / m 3 ), ε0 represents the vacuum permittivity (F / m);

[0015] Gauss's law (magnetic field):

[0016]

[0017] Where, B represents the magnetic induction intensity (T);

[0018] Faraday's law of electromagnetic induction:

[0019]

[0020] In the formula, E represents the electric field intensity (V / m), B represents the magnetic induction intensity (T), and t represents time (s);

[0021] Ampere-Maxwell Laws:

[0022]

[0023] In the formula, H represents the magnetic field intensity (A / m), J represents the current density (A / m 2 ), D represents the electric displacement vector (C / m 2 ), t represents time (s).

[0024] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the eddy current equation is:

[0025] J = σ(E + v × B),

[0026] Where J represents the current density (A / m 2 ), σ represents conductivity (S / m), E represents electric field strength (V / m), v represents the speed of the conductor (m / s), and B represents magnetic induction intensity (T).

[0027] According to a multi-physical field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the chemical reaction kinetic model for simulating CO2 dry reforming is established, including:

[0028] Combining the Arrhenius rate equation, Brinkman equation and continuity equation, a chemical reaction kinetic model for simulating CO2 dry reforming is established, wherein the chemical reaction kinetic model includes a reactor, a catalyst and a heat source.

[0029] In one embodiment, the reactor is a fixed bed reactor modeled based on a catalytic bed, and the catalyst and heat source are Ni-Co gold particles.

[0030] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the Arrhenius rate equation is:

[0031]

[0032] In the formula, r represents the reaction rate mol / (m 3 ·s), A represents the frequency factor 1 / s, E a represents activation energy J / mol, R represents gas constant 8.314 J / (mol·K), and T represents absolute temperature K.

[0033] According to a multi-physics coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the Brinkman equation is:

[0034]

[0035] In the formula, μ represents dynamic viscosity Pa·s, u represents fluid velocity m / s, p represents pressure Pa, and K represents permeability m 2 .

[0036] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the continuity equation (mass conservation) is:

[0037]

[0038] Where ρ represents the fluid density (kg / m 3 ), u fluid velocity (m / s).

[0039] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the electromagnetic heating model and the chemical reaction kinetics model are coupled, and the electromagnetic induction heating driven CO2 dry reforming reaction under different simulation conditions is caused to occur, and favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating are obtained, including:

[0040] The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the CO2 dry reforming reaction driven by electromagnetic induction heating under different simulation conditions is carried out to obtain the CO2 dry reforming simulation results under different simulation conditions;

[0041] According to the simulation results of CO2 dry reforming under different simulation conditions, the favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating were obtained using the preset evaluation mechanism.

[0042] According to a multi-physical field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, different simulation conditions include any one of the following or any combination thereof: reaction pressure, gas velocity, frequency, and magnetic field strength.

[0043] According to a multi-physical field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the CO2 dry reforming simulation results include any one of the following items or any combination thereof: temperature field in the reactor, substance concentration field in the reactor, change of temperature field in the reactor with time, change of substance concentration field in the reactor with time, synthesis gas output, carbon deposition, and methane conversion rate.

[0044] The present invention also provides a multi-physics field coupling simulation system for CO2 dry reforming driven by electromagnetic induction heating, comprising:

[0045] The first establishment module is used to: establish an electromagnetic heating model;

[0046] The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming;

[0047] The coupling simulation module is used to couple the electromagnetic heating model and the chemical reaction kinetics model, and make them undergo electromagnetic induction heating-driven CO2 dry reforming reaction under different simulation conditions, so as to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0048] The present invention also provides an electronic device, comprising a processor and a memory storing a computer program, wherein when the processor executes the computer program, any of the above-mentioned multi-physical field coupling simulation methods for CO2 dry reforming driven by electromagnetic induction heating is implemented.

[0049] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any of the above-mentioned multi-physical field coupling simulation methods for CO2 dry reforming driven by electromagnetic induction heating.

[0050] The present invention also provides a computer program product, which includes a computer program. The computer program can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute any of the above-mentioned multi-physical field coupling simulation methods for CO2 dry reforming driven by electromagnetic induction heating.

[0051] The present invention provides a multi-physical field coupling simulation method, system, equipment and medium for CO2 dry reforming driven by electromagnetic induction heating, which tightly integrates electromagnetic induction heating with the CO2 dry reforming process. Through multi-physical field coupling simulation, the CO2 dry reforming method driven by electromagnetic induction heating can ensure efficient energy absorption and catalytic reaction performance, achieve uniform energy distribution in the reactor, significantly reduce carbon deposition, and increase the yield of synthesis gas. At the same time, according to the simulation results under different simulation conditions, the influence of different operating parameters on the methane dry reforming reaction can be deeply analyzed, which provides valuable reference for experimental design and process optimization, reduces dependence on physical prototypes, and thus greatly reduces development cost and time. This is of great significance for achieving more efficient and environmentally friendly chemical reactions, and has broad application prospects. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0053] Figure 1 A schematic flow chart of a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention.

[0054] Figure 2 It is a structural schematic diagram of the electromagnetic heating model, showing the overall structure of the electromagnetic heating model, including the induction coil (at number 1) and the Ni-Co alloy induction body (at number 2).

[0055] Figure 3 This is the electromagnetic field distribution diagram of the induction coil, which illustrates the electromagnetic field distribution generated by the induction coil when it is working. The figure shows the direction of the alternating magnetic field and the distribution of eddy currents in the induction body (at label 3) to illustrate the principle of electromagnetic induction heating.

[0056] Figure 4 This is a diagram of the reactor temperature field distribution, which illustrates the temperature field distribution of the reactor during operation. The diagram shows the temperature uniformity and temperature gradient in the entire reactor, helping to illustrate the impact of electromagnetic heating on the reaction process.

[0057] Figure 5 It is a reactant distribution diagram, showing the uniformity of distribution of reactant CH4 in the entire reactor.

[0058] Figure 6 It is the distribution diagram of product H2, showing the uniformity of distribution of product H2 in the whole reactor.

[0059] Figure 7 This is a schematic diagram of multi-physics field coupling, which illustrates the process of multi-physics field coupling, including the interaction between electromagnetic fields, fluid flow and chemical reactions. This figure is used to illustrate how to perform coupled simulation of electromagnetic heating and chemical reactions through numerical simulation.

[0060] Figure 8 A schematic diagram of the structure of a multi-physics field coupling simulation system for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention.

[0061] Fig. 9 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solution and advantages of the present invention clearer, the technical solution of the present invention will be clearly and completely described below in conjunction with the drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments, and they should not be understood as limitations on the present invention. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention. In the description of the present invention, it should be understood that the terms used are only for descriptive purposes and cannot be understood as indicating or implying relative importance.

[0063] Figure 1 A schematic flow chart of a multi-physics coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive provided by the present invention. The execution subject of the multi-physics coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive provided by the present invention can be any applicable terminal side device or network side device, such as a multi-physics coupling simulation device for CO2 dry reforming based on electromagnetic induction heating drive, etc.

[0064] See also Figure 1 The present invention provides a multi-physics coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive, which may include:

[0065] S110, establishing an electromagnetic heating model.

[0066] Specifically, this embodiment uses Maxwell's equations and eddy current equations to establish an electromagnetic heating model. Induction heating calculates the energy transfer in the inductor by solving the behavior of the electromagnetic field. The electromagnetic heating model includes an induction coil and a Ni-Co alloy inductor that can generate an alternating magnetic field and induce eddy currents to generate heat.

[0067] The induction coil of this embodiment is made of copper material, and the number of turns, diameter and spacing of the coil are optimized according to the geometric shape and energy requirements of the reactor. The operating frequency is set to the radio frequency range (300-600kHz) to generate an alternating magnetic field. The alternating magnetic field induces eddy currents in the Ni-Co alloy inductor in the reactor to generate heat. The electrical conductivity and magnetic permeability of the Ni-Co alloy material are experimentally determined to ensure the efficiency and uniformity of heating. The Ni-Co alloy inductor not only has excellent catalytic activity, but also has suitable magnetic properties to ensure efficient energy absorption and catalytic reaction performance during electromagnetic heating.

[0068] Figure 2 The schematic diagram of the structure of the electromagnetic heating model is shown, and the overall layout of the induction coil 1 and the Ni-Co alloy inductor 2 is clearly marked. The induction coil excites the Ni-Co alloy inductor through an alternating magnetic field, thereby achieving heating. Figure 3 This is the electromagnetic field distribution diagram of the induction coil, which shows the electromagnetic field distribution generated by the induction coil when it is working. Figure 3 In the figure, the direction of the alternating magnetic field and the distribution of eddy currents generated in the Ni-Co alloy inductor are clearly marked.

[0069] Among them, Maxwell's equations include:

[0070] Gauss's law (passive charge):

[0071]

[0072] Where E is the electric field strength (V / m), ρ is the charge density (C / m 3 ), ε0 represents the vacuum permittivity (F / m);

[0073] Gauss's law (magnetic field):

[0074]

[0075] Where, B represents the magnetic induction intensity (T);

[0076] Faraday's law of electromagnetic induction:

[0077]

[0078] In the formula, E represents the electric field intensity (V / m), B represents the magnetic induction intensity (T), and t represents time (s);

[0079] Ampere-Maxwell Laws:

[0080]

[0081] In the formula, H represents the magnetic field intensity (A / m), J represents the current density (A / m 2 ), D represents the electric displacement vector (C / m 2 ), t represents time (s).

[0082] According to a multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating provided by the present invention, the eddy current equation is:

[0083] J = σ(E + v × B),

[0084] Where J represents the current density (A / m 2 ), σ represents conductivity (S / m), E represents electric field strength (V / m), v represents the speed of the conductor (m / s), and B represents magnetic induction intensity (T).

[0085] S120. Establish a chemical reaction kinetic model to simulate CO2 dry reforming (CH4+CO2→2CO+2H2).

[0086] Specifically, this embodiment combines the Arrhenius rate equation, the Brinkman equation, and the continuity equation to establish a chemical reaction kinetic model for simulating CO2 dry reforming, and performs parameter fitting in combination with experimental data to ensure the accuracy and reliability of the reaction simulation, wherein the chemical reaction kinetic model includes a fixed bed reactor based on catalytic bed modeling, and Ni-Co gold particles as catalysts and heat sources. The operating frequency of the induction heating of this embodiment is in the range of 200-1000kHz, and the temperature is 800-1000°C, aiming to achieve uniform temperature distribution in the reactor, thereby effectively promoting the dry reforming reaction.

[0087] CO2 and CH4 are introduced as reactants from the inlet of the reactor. After induction heating, the gas undergoes dry reforming reaction in the catalytic bed. The modeling of the chemical reaction module considers the main reaction, that is, CH4+CO2 generates 2CO and 2H2, and the enthalpy change ΔH=+247kJ / mol. These reactions are modeled by the Arrhenius rate equation in the numerical simulation, and the parameters are obtained by fitting the experimental data to ensure the accuracy of the reaction kinetics simulation.

[0088] Among them, the Arrhenius rate equation (used to describe the relationship between reaction rate and temperature) is:

[0089]

[0090] In the formula, r represents the reaction rate mol / (m 3 ·s), A represents the frequency factor 1 / s, E a represents activation energy J / mol, R represents gas constant 8.314 J / (mol·K), and T represents absolute temperature K.

[0091] Fluid flow and material transport are described in porous catalyst beds using the Brinkman equation, which is used to describe fluid flow in porous media. The Brinkman equation is:

[0092]

[0093] In the formula, μ represents dynamic viscosity Pa·s, u represents fluid velocity m / s, p represents pressure Pa, and K represents permeability m 2 .

[0094] The continuity equation (conservation of mass) is:

[0095]

[0096] Where ρ represents the fluid density (kg / m 3 ), u fluid velocity (m / s).

[0097] The present invention closely integrates electromagnetic induction heating with the CO2 dry reforming process, and uses numerical simulation optimization to achieve uniform energy distribution, significantly reduce carbon deposition, and increase the yield of synthesis gas. Compared with traditional external heating methods, the method of the present invention has significant advantages, especially in improving energy utilization and reaction rate. In addition, the design of the Ni-Co alloy induction body has unique advantages. It not only acts as an induction heating body, but also has good catalytic properties. Its high Curie temperature ensures efficient heating and resistance to carbon deposition in high temperature environments. The design provides a scalable simulation framework for reactors in industrial applications, which can provide valuable insights for the design and optimization of reactors without a large number of physical prototypes, thereby significantly saving development time and cost.

[0098] S130, coupling the electromagnetic heating model and the chemical reaction kinetics model, and making them undergo electromagnetic induction heating-driven CO2 dry reforming reaction under different simulation conditions, to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0099] Specifically, S130 may include:

[0100] The electromagnetic heating model and the chemical reaction kinetics model are coupled, and a CO2 dry reforming reaction driven by electromagnetic induction heating under different simulation conditions is performed to obtain CO2 dry reforming simulation results under different simulation conditions, wherein the different simulation conditions may include any one of the following or any combination thereof: reaction pressure, gas velocity, frequency, and magnetic field intensity, and the CO2 dry reforming simulation results may include any one of the following or any combination thereof: temperature field in the reactor, substance concentration field in the reactor, change of temperature field in the reactor with time, change of substance concentration field in the reactor with time, synthesis gas output, carbon deposition, and methane conversion rate;

[0101] According to the simulation results of CO2 dry reforming under different simulation conditions, the favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating are obtained by using a preset evaluation mechanism (for example, the methane conversion rate is greater than a preset value, etc.).

[0102] The coupled simulation of multiple physical fields in this embodiment combines electromagnetic heating, heat transfer, fluid dynamics and chemical reactions in a unified simulation framework. During the simulation process, the coupled solution of each physical field can be obtained through the iterative solver of numerical simulation, so as to obtain the temperature field, substance concentration field and its change over time in the reactor. In this way, the influence of different operating conditions on syngas production and carbon deposition can be evaluated, and the optimal reaction conditions can be determined.

[0103] For example, when the temperature in the reactor is uniformly distributed in the range of 800-1000°C, efficient conversion of methane and carbon dioxide can be ensured. Under this operating condition, the heat generated by induction heating can be quickly and evenly transferred to the catalyst bed, avoiding the heat loss and temperature gradient problems in traditional heating methods. Figure 4 The figure shows the distribution of the reactor temperature field, which shows the temperature uniformity in the whole reactor. The figure shows that electromagnetic heating can significantly improve the temperature uniformity of the reactor, which helps to achieve efficient conversion of methane and carbon dioxide and ensure that the reactants react at an appropriate temperature. Figure 5 The distribution cloud of the reactant CH4 clearly shows that CH4 has the highest concentration at the inlet, and its concentration gradually decreases from the inlet to the outlet. Figure 6 The displayed product hydrogen distribution cloud diagram shows that the product hydrogen concentration gradually increases near the outlet area.

[0104] Figure 7This is a schematic diagram of multi-physics coupling, illustrating the coupling between electromagnetic heating, fluid flow and chemical reaction. The temperature change caused by electromagnetic heating is closely related to the change in chemical reaction rate, while fluid flow and material transport play a vital role in this process. The coupling of multi-physics fields enables the system to accurately simulate the changes in temperature field, reactant concentration distribution and reaction rate in the actual reactor, thereby optimizing the reaction conditions, reducing carbon deposition and increasing the synthesis gas yield.

[0105] In order to more specifically illustrate the embodiments of the present invention, an example of a multi-physics coupling simulation method for a CO2 dry reforming reaction driven by electromagnetic heating is provided below. The example shows simulation results under different operating conditions, including key parameters such as reactor temperature, reaction pressure, gas velocity, frequency, magnetic field strength, and methane conversion rate.

[0106] Table 1 Simulation results

[0107]

[0108] The data table shows the results of five different simulation conditions, including reactor temperature, reaction pressure, gas velocity, frequency and magnetic field strength, as well as the corresponding methane conversion rate.

[0109] 1. Reactor temperature (K): The reactor temperature range in the simulation is set between 873 K and 923 K, which covers the typical operating temperature of methane dry reforming reaction. At these temperatures, the reaction rate and product selectivity reach the best balance, thus ensuring the efficient production of synthesis gas.

[0110] 2. Reaction pressure (MPa): The pressure changes from 0.4MPa to 0.8MPa, reflecting the pressure adjustment under different operating conditions. An increase in pressure usually leads to an increase in reaction rate, but it may also affect the design and operating costs of the reactor. Gas velocity (slpm): The adjustment range of gas velocity is 45slpm to 70slpm. This change shows the effect of different flow rates on mixing and heat and mass transfer in the reactor. Appropriate gas velocity helps optimize the uniform distribution of reactants and the effective transfer of heat.

[0111] 3. Frequency (kHz): In electromagnetic induction heating, the choice of frequency is crucial. The frequency range in this simulation is 450kHz to 700kHz, which is a commonly used frequency range in electromagnetic induction heating and can ensure that sufficient eddy currents are generated in the induction body to achieve effective heating.

[0112] 4. Magnetic field strength (T): The magnetic field strength ranges from 0.25T to 0.45T. The magnetic field strength within this range is sufficient to affect the induction heating effect. The adjustment of the magnetic field strength can change the efficiency of induction heating and the energy distribution in the reactor.

[0113] 5. Methane conversion rate (%): The simulation results show that the methane conversion rate varies between 75% and 88%, which reflects the reaction efficiency under different operating parameters. A high conversion rate means a more efficient reaction process and a higher synthesis gas yield.

[0114] Through these simulation results, we can deeply analyze the effects of different operating parameters on the dry reforming reaction of methane, and provide valuable references for experimental design and process optimization. These data not only help to understand the application of electromagnetic heating in CO2 dry reforming reactions, but also provide important guidance for industrial-scale reactor design and operation. By optimizing these parameters, the energy efficiency of the reaction can be significantly improved, carbon deposition can be reduced, and the yield of syngas can be increased, which is of great significance for achieving more efficient and environmentally friendly chemical reactions.

[0115] In summary, the method of the present invention can not only be used for the design and optimization of industrial-scale CO2 dry reforming reactors, but also significantly improve reaction efficiency and reduce dependence on physical prototypes, thereby greatly reducing development costs and time. This method provides a new technical solution for achieving more efficient and environmentally friendly chemical reactions and has broad application prospects.

[0116] The multi-physical field coupling simulation system of CO2 dry reforming driven by electromagnetic induction heating provided by the present invention is described below. The multi-physical field coupling simulation system of CO2 dry reforming driven by electromagnetic induction heating described below and the multi-physical field coupling simulation method of CO2 dry reforming driven by electromagnetic induction heating described above can be referenced to each other.

[0117] See also Figure 8 The present invention provides a multi-physics field coupling simulation system for CO2 dry reforming based on electromagnetic induction heating drive, which may include:

[0118] The first establishment module is used to: establish an electromagnetic heating model;

[0119] The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming;

[0120] The coupling simulation module is used to couple the electromagnetic heating model and the chemical reaction kinetics model, and make them undergo electromagnetic induction heating-driven CO2 dry reforming reaction under different simulation conditions, so as to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0121] Fig. 9 An example of a physical structure diagram of an electronic device is shown in FIG. Fig. 9As shown, the electronic device may include: a processor 810, a communication interface 820, a memory 830 and a communication bus 840, wherein the processor 810, the communication interface 820 and the memory 830 communicate with each other through the communication bus 840. The processor 810 may call the logic instructions in the memory 830 to perform the following steps:

[0122] Establish electromagnetic heating model;

[0123] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0124] The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the electromagnetic induction heating driven CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0125] In addition, the logic instructions in the above-mentioned memory 830 can be implemented in the form of a software functional unit and can be stored in a computer-readable storage medium when it is sold or used as an independent product. Based on such an understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art or the part of the technical solution, can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0126] On the other hand, the present invention further provides a computer program product, the computer program product comprising a computer program, the computer program can be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer can perform the following steps:

[0127] Establish electromagnetic heating model;

[0128] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0129] The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the electromagnetic induction heating driven CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0130] In another aspect, the present invention further provides a non-transitory computer-readable storage medium having a computer program stored thereon, which is implemented to perform the following steps when executed by a processor:

[0131] Establish electromagnetic heating model;

[0132] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0133] The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the electromagnetic induction heating driven CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

[0134] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0135] Through the description of the above implementation methods, those skilled in the art can clearly understand that each implementation method can be implemented by means of software plus a necessary general hardware platform, and of course, it can also be implemented by hardware. Based on this understanding, the above technical solution is essentially or the part that contributes to the prior art can be embodied in the form of a software product, and the computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a disk, an optical disk, etc., including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods described in each embodiment or some parts of the embodiments.

[0136] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating, characterized in that: include: Establish electromagnetic heating model; Establish a chemical reaction kinetic model to simulate CO2 dry reforming; The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the electromagnetic induction heating driven CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

2. The multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating according to claim 1 is characterized in that: The establishing of the electromagnetic heating model comprises: An electromagnetic heating model is established using Maxwell's equations and eddy current equations, wherein the electromagnetic heating model includes an induction coil and a Ni-Co alloy inductor that can generate an alternating magnetic field and induce eddy currents to generate heat.

3. The multi-physics field coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive according to claim 2 is characterized in that: Maxwell's equations include: Gauss's law: In the formula, E represents the electric field intensity, ρ represents the charge density, and ε0 represents the vacuum permittivity; Gauss's law: Where, B represents the magnetic induction intensity; Faraday's law of electromagnetic induction: In the formula, E represents the electric field intensity, B represents the magnetic induction intensity, and t represents the time; Ampere-Maxwell Laws: In the formula, H represents the magnetic field intensity, J represents the current density, D represents the electric displacement vector, and t represents the time; The eddy current equation is: J = σ(E + v × B), Where J represents current density, σ represents conductivity, E represents electric field strength, v represents the speed of conductor movement, and B represents magnetic induction intensity.

4. The multi-physics field coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive according to claim 2 is characterized in that: The establishment of a chemical reaction kinetic model for simulating CO2 dry reforming includes: Combining the Arrhenius rate equation, Brinkman equation and continuity equation, a chemical reaction kinetic model for simulating CO2 dry reforming is established, wherein the chemical reaction kinetic model includes a reactor.

5. The multi-physics field coupling simulation method for CO2 dry reforming based on electromagnetic induction heating drive according to claim 4 is characterized in that: The Arrhenius rate equation is: In the formula, r represents the reaction rate, A represents the frequency factor, and E a represents activation energy, R represents gas constant, and T represents absolute temperature; The Brinkman equation is: In the formula, μ represents dynamic viscosity, u represents fluid velocity, p represents pressure, and K represents permeability; The continuity equation is: Where ρ represents the fluid density and u represents the fluid velocity.

6. The multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating according to claim 4 is characterized in that: The electromagnetic heating model and the chemical reaction kinetics model are coupled to generate electromagnetic induction heating driven CO2 dry reforming reaction under different simulation conditions, thereby obtaining favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating, including: The electromagnetic heating model and the chemical reaction kinetics model are coupled, and the CO2 dry reforming reaction driven by electromagnetic induction heating under different simulation conditions is carried out to obtain the CO2 dry reforming simulation results under different simulation conditions; According to the simulation results of CO2 dry reforming under different simulation conditions, the favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating were obtained using the preset evaluation mechanism.

7. The multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating according to any one of claims 1 to 6, characterized in that: Different simulation conditions include any one or any combination of the following: reaction pressure, gas velocity, frequency, magnetic field strength; and / or, The simulation results of CO2 dry reforming include any one of the following items or any combination thereof: temperature field in the reactor, substance concentration field in the reactor, change of temperature field in the reactor with time, change of substance concentration field in the reactor with time, synthesis gas production, carbon deposition, and methane conversion rate.

8. A multi-physics field coupling simulation system for CO2 dry reforming driven by electromagnetic induction heating, characterized in that: include: The first establishment module is used to: establish an electromagnetic heating model; The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming; The coupling simulation module is used to couple the electromagnetic heating model and the chemical reaction kinetics model, and make them undergo electromagnetic induction heating-driven CO2 dry reforming reaction under different simulation conditions, so as to obtain favorable reaction conditions for CO2 dry reforming driven by electromagnetic induction heating.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating is implemented as described in any one of claims 1 to 7.

10. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, it implements the multi-physics field coupling simulation method for CO2 dry reforming driven by electromagnetic induction heating as described in any one of claims 1 to 7.

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