CO2 dry reforming numerical simulation method, system and equipment based on Joule heating and medium

Abstract

The invention relates to the technical field of chemical engineering, and discloses a Joule heating-based CO2 dry reforming numerical simulation method, system, equipment and medium, Joule heating and a CO2 dry reforming process are closely integrated, and through multi-physics field coupling numerical simulation, the Joule heating-based CO2 dry reforming method can ensure efficient energy absorption and catalytic reaction performance, so that the CO2 dry reforming efficiency is improved. Uniform energy distribution in the reactor is achieved, carbon deposition is remarkably reduced, the yield of synthesis gas is increased, meanwhile, the influence of different operation parameters on the methane dry reforming reaction can be deeply analyzed according to simulation results under different simulation conditions, precious reference is provided for experimental design and process optimization, dependence on a physical prototype is reduced, and the method is suitable for industrial production. Therefore, 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 field of chemical engineering technology, and in particular to a method, system, equipment and medium for simulating an integer value of dry weight of CO2 based on Joule 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 CO2 dry weight integer value simulation method, system, equipment and medium based on Joule heating, aiming to combine the reactor thermophysical model based on Joule heating with the chemical reaction kinetic 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 CO2 dry weight integer value simulation method, system, device and medium based on Joule heating, which are used 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 CO2 dry weight integer value simulation method based on Joule heating, comprising:

[0006] Establish a thermophysical model of the reactor based on Joule heating;

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

[0008] The Joule-heating-based reactor thermophysical model and chemical reaction kinetic model are coupled, and the Joule-heated CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for the Joule-heated CO2 dry reforming.

[0009] According to a method for simulating an integer value of dry weight of CO2 based on Joule heating provided by the present invention, the establishment of a thermophysical model of a reactor based on Joule heating comprises:

[0010] By combining the heat conduction equation, the heat convection equation and the temperature distribution equation, a thermal physics model of a reactor based on Joule heating is established, wherein the thermal physics model of a reactor based on Joule heating includes a reactor and a heating component for realizing Joule heating.

[0011] According to a CO2 dry weight integer value simulation method based on Joule heating provided by the present invention, the heat conduction equation is:

[0012]

[0013] Where q is the heat flux per unit area (unit: W / m 2 ), k th is the thermal conductivity (unit: W / m·K), is the temperature gradient;

[0014] The heat convection equation is:

[0015] q=h·A·(T s -T ∞ ),

[0016] Where h is the convective heat transfer coefficient (unit: W / m 2 ·K), A is the heating surface area (unit: m 2 ), Ts is the surface temperature (unit: K), T ∞ is the temperature of the fluid away from the surface (unit: K);

[0017] The temperature distribution equation is:

[0018]

[0019] Where k is the thermal conductivity of the reactor (unit: W / (m·K)), is the temperature gradient, Q is the heat generated (unit: W / m 3 ), usually associated with a heat source of Joule heating.

[0020] According to a method for simulating an integer value of dry weight of CO2 based on Joule heating provided by the present invention, the chemical reaction kinetic model for simulating dry reforming of CO2 is established, comprising:

[0021] Combining the chemical reaction formula of CO2 dry reforming and the kinetic equation of CO2 dry reforming reaction rate, a chemical reaction kinetic model for simulating CO2 dry reforming is established.

[0022] According to a CO2 dry weight integer value simulation method based on Joule heating provided by the present invention, the chemical reaction formula of CO2 dry reforming is:

[0023] CH4+CO2→2CO+2H2,

[0024] The kinetic equation for the CO2 dry reforming reaction rate is:

[0025]

[0026] Where r is the reaction rate (unit: mol / s), k is the reaction rate constant, which is usually related to temperature; CH4 and CO2 are the concentrations of methane and carbon dioxide, respectively (unit: mol / L).

[0027] According to a CO2 dry weight integer value simulation method based on Joule heating provided by the present invention, the expression of the reaction rate constant is:

[0028]

[0029] Where A is the pre-exponential factor (unit: mol / s·L), Ea is the activation energy of the reaction (unit: J / mol), R is the gas constant (8.314 J / mol·K), and T is the absolute temperature (unit: K).

[0030] According to a method for simulating an integer value of dry weight of CO2 based on Joule heating provided by the present invention, different simulation conditions include any one of the following or any combination thereof: current density, voltage, reactor temperature, reaction time; and / or,

[0031] The simulation results of CO2 dry reforming include any one of the following or any combination thereof: reaction rate, hydrogen production.

[0032] The present invention also provides a CO2 dry weight integer value simulation system based on Joule heating, comprising:

[0033] The first establishment module is used to: establish a reactor thermophysical model based on Joule heating;

[0034] The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming;

[0035] The coupled simulation module is used to couple the established Joule-heated reactor thermophysical model and the chemical reaction kinetic model, and to make them undergo Joule-heated CO2 dry reforming reaction under different simulation conditions, so as to obtain favorable reaction conditions for Joule-heated CO2 dry reforming.

[0036] 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 methods for simulating the integer value of CO2 dry weight based on Joule heating is implemented.

[0037] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the computer program implements any of the above-mentioned methods for simulating the integer value of CO2 dry weight based on Joule heating.

[0038] 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 CO2 dry weight integer value simulation methods based on Joule heating.

[0039] The present invention provides a CO2 dry weight integer value simulation method, system, equipment and medium based on Joule heating, which closely integrates Joule heating with the CO2 dry reforming process. Through multi-physical field coupled numerical simulation, the CO2 dry reforming method with Joule 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

[0040] 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.

[0041] Figure 1 A schematic flow chart of a method for simulating an integer value of dry weight of CO2 based on Joule heating provided by the present invention.

[0042] Figure 2 It is a structural schematic diagram of the thermal physical model of the reactor based on Joule heating, showing the overall structure of the thermal physical model of the reactor based on Joule heating, including the Fe-Cr-Al electrothermal alloy inner tube (at number 1), the Ni / Al2O3 catalyst filling layer (at number 2), and the high alloy outer tube (at number 3).

[0043] Figure 3 This is a schematic diagram of the Joule heating principle, showing that when current flows through the conductor material of the reactor, Joule heat is generated, directly heating the methane and carbon dioxide reactants inside the reactor. The direction of current flow and the area where heat is generated are marked in the figure.

[0044] Figure 4 This is an electric potential physics field simulation diagram, which shows the electric potential distribution diagram obtained through numerical simulation. The diagram shows the change in electric potential, which helps to explain how current flows inside the reactor and generates heat.

[0045] Figure 5 This is the temperature distribution diagram inside the reactor. The temperature field inside the reactor is optimized through numerical simulation to ensure uniform temperature distribution and avoid local overheating. The temperature values ​​of different areas are marked in the figure to help understand the effect of temperature control.

[0046] Figure 6 It is the concentration distribution diagram of reactant CH4.

[0047] Figure 7 This is the distribution diagram of the product H2 concentration.

[0048] Figure 8 A schematic structural diagram of a CO2 dry weight integer value simulation system based on Joule heating provided by the present invention.

[0049] Fig. 9 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0050] 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.

[0051] The present invention believes that Joule heating technology can show unique advantages in methane dry reforming reactions, including reducing reactor volume, reducing carbon dioxide emissions, increasing catalytic reaction rates, and achieving precise control of reaction temperature. Joule heating technology can significantly reduce reactor volume and improve environmental friendliness by reducing CO2 emissions. In addition, Joule heating provides faster heating rates and higher temperature control accuracy by generating heat directly inside the material, which helps to increase the catalytic reaction rate. Joule technology can achieve heating rates of up to 106K / s, a speed that cannot be achieved in traditional heating equipment. Joule heating technology can also provide extremely high temperature control accuracy, typically within ±1°C, which is crucial for precisely controlling thermal treatment conditions during material synthesis.

[0052] Therefore, the present invention proposes a CO2 dry weight integer value simulation method based on Joule heating, which aims to optimize the heating process through numerical simulation, improve the reaction efficiency, and reduce the energy loss in the traditional heating method. This method constructs a reactor thermophysical model based on Joule heating, simulates the heat distribution in the Joule heating process, and optimizes the heating parameters of the reactor, thereby improving the overall efficiency and hydrogen production of the methane dry reforming reaction. By optimizing the temperature control strategy, the present invention can not only reduce the temperature gradient in the reactor, but also reduce the risk of catalyst carbon deposition and deactivation. The application of Joule heating technology provides a new solution for improving the efficiency and environmental friendliness of methane dry reforming reactions.

[0053] Figure 1 A schematic flow chart of a method for simulating an integer value of dry weight of CO2 based on Joule heating provided by the present invention. The execution subject of the method for simulating an integer value of dry weight of CO2 based on Joule heating provided by the present invention can be any applicable terminal side device or network side device, such as a device for simulating an integer value of dry weight of CO2 based on Joule heating, etc.

[0054] See also Figure 1 The present invention provides a method for simulating an integer value of dry weight of CO2 based on Joule heating, which may include:

[0055] S110. Establish a thermal physics model of a reactor based on Joule heating.

[0056] Joule Heating is the process of converting electrical energy into thermal energy when current passes through a resistive material. Its mathematical expression is:

[0057] Q=I 2 Rt,

[0058] Where: Q is the heat generated (unit: joule, J); I is the current passing through the material (unit: ampere, A); R is the resistance (unit: ohm, Ω); t is the heating time (unit: second, s).

[0059] In the Joule heating process, when current passes through a conductor, electrical energy is converted into thermal energy, which is used to heat the reactants, and heat the methane and carbon dioxide reactants in the reactor. First, this embodiment uses current flowing through the conductor material of the reactor to generate Joule heat, and directly heats the methane and carbon dioxide reactants inside the reactor.

[0060] In one embodiment, S110 combines the heat conduction equation, the heat convection equation, and the temperature distribution equation to establish a reactor thermophysical model based on Joule heating, wherein the reactor thermophysical model based on Joule heating includes a reactor and a heating component for realizing Joule heating. For details, see Figure 2The Joule-heated reactor thermophysical model in this embodiment includes a Fe-Cr-Al electrothermal alloy inner tube, a Ni / Al2O3 catalyst filling layer, and a high alloy outer tube.

[0061] Specifically, the heating elements in the reactor use Fe-Cr-Al alloy material, which has the advantages of low cost, high mechanical strength, high resistivity, small temperature influence on resistance, high operating temperature and long service life. In addition, Fe-Cr-Al electrothermal alloy forms a dense chromium oxide, aluminum oxide or composite oxide film at high temperature, and has excellent resistance to oxidation, carburization, sulfur and hydrogen corrosion, which makes it an ideal heating material. The outer tube of the reactor is made of high alloy steel that can withstand high pressure, and the catalyst particles are filled in the gap between the inner and outer tubes. After applying voltage at both ends of the electrothermal alloy inner tube, the current passes through the electrothermal alloy conductor to generate the required heat, thereby directly heating the reactants.

[0062] The catalyst inside the reactor is an eggshell-type Ni / Al2O3 catalyst with a diameter of 3mm. The active center (Ni) is concentrated on the outer "eggshell" of the catalyst particles, and the mass of this area accounts for about 10% of the total mass of the particles. The catalyst structure design helps to increase the reaction rate and reduce catalyst poisoning and carbon deposition.

[0063] In order to further optimize the heating effect, this embodiment establishes multi-physics field coupling of solid heat transfer, concentrated material transfer, Brinkman equation, chemistry and current in the reactor, analyzes the temperature distribution of the reactor through numerical simulation, and optimizes the temperature field to avoid local overheating and ensure uniform temperature distribution in the reactor.

[0064] During Joule heating, heat is transferred to the reactants through the electrodes and the reactor wall. The heat transfer equation is:

[0065]

[0066] Where q is the heat flux per unit area (unit: W / m 2 ), k th is the thermal conductivity (unit: W / m·K), is the temperature gradient;

[0067] In the reactor, heat is transferred from the electrode surface to the reactants through the copper medium. The heat conduction equation in the numerical simulation can help optimize the reactor design, ensure uniform heat distribution, and improve reaction efficiency.

[0068] Convection is the heat transfer caused by the flow of reactants in the reactor. The convection equation is:

[0069] q=h·A·(T s -T ∞),

[0070] Where h is the convective heat transfer coefficient (unit: W / m 2 ·K), A is the heating surface area (unit: m 2 ), Ts is the surface temperature (unit: K), T ∞ is the temperature of the fluid away from the surface (unit: K);

[0071] Taking into account the effect of Joule heating and the flow of reactants, the temperature distribution in the reactor usually follows the steady-state solution of the heat conduction equation, which is:

[0072]

[0073] Where k is the thermal conductivity of the reactor (unit: W / (m·K)), is the temperature gradient, Q is the heat generated (unit: W / m 3 ), usually associated with a heat source of Joule heating.

[0074] S120. Establish a chemical reaction kinetic model to simulate CO2 dry reforming.

[0075] Specifically, this embodiment combines the chemical reaction formula of CO2 dry reforming and the kinetic equation of CO2 dry reforming reaction rate to establish a chemical reaction kinetic model for simulating CO2 dry reforming.

[0076] In the carbon dioxide dry reforming reaction, methane and carbon dioxide react at a certain temperature and pressure to generate synthesis gas (mainly hydrogen and carbon monoxide). The chemical reaction formula of CO2 dry reforming is:

[0077] CH4+CO2→2CO+2H2,

[0078] The kinetic equation for the CO2 dry reforming reaction rate is:

[0079]

[0080] Where r is the reaction rate (unit: mol / s), k is the reaction rate constant, which is usually related to temperature; CH4 and CO2 are the concentrations of methane and carbon dioxide, respectively (unit: mol / L);

[0081] The reaction rate constant k usually changes with temperature. The expression of the reaction rate constant is:

[0082]

[0083] Where A is the pre-exponential factor (unit: mol / s·L), Ea is the activation energy of the reaction (unit: J / mol), R is the gas constant (8.314 J / mol·K), and T is the absolute temperature (unit: K).

[0084] Figure 2 Shown is a schematic diagram of the structure of the thermophysical model of the reactor based on Joule heating, which clearly shows the basic structural structure of the methane dry reforming reactor based on Joule heating, including but not limited to the relative position relationship of each component, the connection method, etc., to provide intuitive visual assistance for understanding the overall technical solution of the present invention. In this embodiment, the inner diameter of the reactor is 12cm and the height is 40cm. The fluid reactants in the reactor are a mixed gas of methane (CH4) and carbon dioxide (CO2). The flow ratio of the two is 1:1 to ensure a stable chemical reaction. The current density in the reactor is set to 10A per square centimeter, and the heating medium between the electrodes is made of copper material. Copper has good thermal conductivity and can effectively convert electrical energy into thermal energy and heat the reactants.

[0085] As attached Figure 3 The Joule heating schematic diagram shown in FIG. 1 clearly demonstrates the application of the basic principle of Joule heating in the present invention. When current passes through the conductor material of the reactor, according to Joule's law, electrical energy will be converted into thermal energy, that is, Joule heat will be generated. The Joule heat can directly act on the methane and carbon dioxide reactants inside the reactor, thereby providing the required heat for the methane dry reforming reaction.

[0086] S130, coupling the Joule-heating-based reactor thermophysical model and the chemical reaction kinetic model, and making them undergo Joule-heating CO2 dry reforming reaction under different simulation conditions, to obtain favorable reaction conditions for Joule-heating CO2 dry reforming.

[0087] Wherein, different simulation conditions include any one of the following or any combination thereof: current density, voltage, reactor temperature, reaction time; and / or,

[0088] The simulation results of CO2 dry reforming include any one of the following or any combination thereof: reaction rate, hydrogen production.

[0089] This embodiment integrates Joule heating technology and numerical simulation optimization method, which can not only significantly improve the energy efficiency of methane dry reforming reaction, but also improve the reaction effect and reduce the energy loss in traditional heating methods. This technical solution has important application prospects in optimizing reactor design, improving reaction rate and hydrogen production.

[0090] In order to optimize the temperature distribution in the reactor, this embodiment uses numerical simulation software to analyze the distribution of the current physical field and the temperature field. During the simulation process, a reactor thermal physics model based on Joule heating is established to consider the conduction of current, the distribution of heat, and the flow law of reactants. During the simulation process, the current density is set to 10A / cm 2 The current density is evenly distributed in the reactor by optimizing the reactor geometry, conductor material selection and potential distribution. The simulation results show that at this current density, the temperature distribution inside the reactor is relatively uniform, and the local temperature difference is controlled within ±5°C, thus avoiding local overheating.

[0091] Attached Figure 4 The electric potential physical field simulation diagram is shown, which clearly shows the electric potential distribution diagram obtained by numerical simulation. The specific change trend of the electric potential can be intuitively seen in the figure. Figure 5 The temperature values ​​of different areas inside the reactor are clearly marked. A careful observation of the figure shows that the temperature inside the reactor presents a specific distribution pattern, that is, the temperature reaches the highest value in the middle and then gradually decreases towards the two ends. Figure 6 The concentration distribution diagram of reactant CH4 is shown in the figure. It can be clearly seen that at the inlet of the reactor, the concentration of reactant CH4 is the highest value, and then as the reaction progresses, its concentration gradually decreases from the inlet to the subsequent direction. Figure 7 The displayed product H2 concentration distribution diagram shows that the concentration of product H2 reaches the highest value at the outlet of the reactor.

[0092] This embodiment combines the kinetic model of methane dry reforming reaction, and adjusts the current density and voltage by real-time monitoring of the temperature and flow of the reactants. According to the reaction kinetic model, there is a certain relationship between the reaction rate and temperature. The higher the temperature, the faster the reaction rate. To ensure the efficiency of the reaction process, the current density and current density are adjusted in real time during the experiment to optimize the reaction rate. By combining experiments with numerical simulations, this embodiment achieves an effective improvement in the reaction rate. At a current density of 10A / cm 2 The reaction rate is about 30% higher than that of traditional combustion heating method.

[0093] During the experiment, five groups of experiments were conducted, with different current densities and reaction times as conditions, to collect data on the temperature inside the reactor, hydrogen production, and reaction rate. The experimental results show that the Joule heating method can effectively increase the reaction rate and hydrogen production compared to the traditional heating method. The following are the specific experimental data:

[0094]

[0095] It can be seen from the experimental data that at a current density of 10A / cm 2 , the reactor temperature is about 900°C, the hydrogen production is the highest, and the reaction rate is also optimal.

[0096] This example combines numerical simulation with experimental data to verify the advantages of Joule heating in methane dry reforming reactions. By properly controlling the current density and reactant flow rate, this example can significantly increase the reaction rate and hydrogen production, optimize the heat distribution of the reactor, and improve the overall energy efficiency. This technology has broad application prospects in hydrogen production and synthesis gas preparation.

[0097] The present invention provides a CO2 dry weight integer value simulation method based on Joule heating, which can at least bring the following beneficial effects:

[0098] 1. Improve heating efficiency: This method directly heats the reactants in the reactor through Joule heating, avoiding the loss of heat energy transfer in the traditional combustion heating method. The current directly generates heat through the titanium electrode, which is more efficient and saves energy.

[0099] 2. Optimize temperature distribution: Numerical simulation results show that the optimized current density and potential distribution make the temperature distribution in the reactor more uniform, and the local temperature difference is controlled within ±5°C, avoiding low reaction efficiency caused by uneven temperature.

[0100] 3. Increase the reaction rate: Due to the high efficiency of Joule heating, the reaction rate is increased by about 30% compared with the traditional heating method. This result shows that the heating method of the present invention can significantly accelerate the reaction rate of methane and carbon dioxide and increase the hydrogen production.

[0101] 4. Reduce energy loss: By directly converting electrical energy into thermal energy through Joule heating, the loss during heat transfer is reduced. Compared with traditional gas heating methods, the overall energy utilization efficiency is significantly improved.

[0102] The present invention is suitable for heating optimization in the process of methane dry reforming reaction, especially in the related fields of hydrogen production, synthesis gas production, etc. By optimizing the heating method, the energy utilization efficiency is improved, and it has a wide range of application prospects.

[0103] The CO2 dry weight integer value simulation system based on Joule heating provided by the present invention is described below. The CO2 dry weight integer value simulation system based on Joule heating described below and the CO2 dry weight integer value simulation method based on Joule heating described above can be referenced to each other.

[0104] See also Figure 8 The present invention provides a CO2 dry weight integer value simulation system based on Joule heating, which may include:

[0105] The first establishment module is used to: establish a reactor thermophysical model based on Joule heating;

[0106] The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming;

[0107] The coupled simulation module is used to couple the established Joule-heated reactor thermophysical model and the chemical reaction kinetic model, and to make them undergo Joule-heated CO2 dry reforming reaction under different simulation conditions, so as to obtain favorable reaction conditions for Joule-heated CO2 dry reforming.

[0108] Fig. 9 An example of a physical structure diagram of an electronic device is shown in FIG. Fig. 9 As 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:

[0109] Establish a thermophysical model of the reactor based on Joule heating;

[0110] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0111] The Joule-heating-based reactor thermophysical model and chemical reaction kinetic model are coupled, and the Joule-heated CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for the Joule-heated CO2 dry reforming.

[0112] 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.

[0113] 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:

[0114] Establish a thermophysical model of the reactor based on Joule heating;

[0115] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0116] The Joule-heating-based reactor thermophysical model and chemical reaction kinetic model are coupled, and the Joule-heated CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for the Joule-heated CO2 dry reforming.

[0117] 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:

[0118] Establish a thermophysical model of the reactor based on Joule heating;

[0119] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0120] The Joule-heating-based reactor thermophysical model and chemical reaction kinetic model are coupled, and the Joule-heated CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for the Joule-heated CO2 dry reforming.

[0121] 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.

[0122] 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.

[0123] 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 CO2 dry weight integer value simulation method based on Joule heating, characterized in that: include: Establish a thermophysical model of the reactor based on Joule heating; Establish a chemical reaction kinetic model to simulate CO2 dry reforming; The Joule-heating-based reactor thermophysical model and chemical reaction kinetic model are coupled, and the Joule-heated CO2 dry reforming reaction is carried out under different simulation conditions to obtain favorable reaction conditions for the Joule-heated CO2 dry reforming.

2. The CO2 dry weight integer value simulation method based on Joule heating according to claim 1, characterized in that: The establishment of a reactor thermophysical model based on Joule heating comprises: By combining the heat conduction equation, the heat convection equation and the temperature distribution equation, a thermal physics model of a reactor based on Joule heating is established, wherein the thermal physics model of a reactor based on Joule heating includes a reactor and a heating component for realizing Joule heating.

3. The CO2 dry weight integer value simulation method based on Joule heating according to claim 2, characterized in that: The heat conduction equation is: Where q is the heat flow per unit area, k th is the thermal conductivity, is the temperature gradient; The heat convection equation is: q=h·A·(T s -T ∞ ), In the formula, h is the convective heat transfer coefficient, A is the heating surface area, Ts is the surface temperature, T ∞ is the temperature of the fluid away from the surface; The temperature distribution equation is: Where k is the thermal conductivity of the reactor, is the temperature gradient and Q is the heat generated.

4. The CO2 dry weight integer value simulation method based on Joule heating according to claim 1, characterized in that: The establishment of a chemical reaction kinetic model for simulating CO2 dry reforming includes: Combining the chemical reaction formula of CO2 dry reforming and the kinetic equation of CO2 dry reforming reaction rate, a chemical reaction kinetic model for simulating CO2 dry reforming is established.

5. The CO2 dry weight integer value simulation method based on Joule heating according to claim 4, characterized in that: The chemical reaction formula of CO2 dry reforming is: CH4+CO2→2CO+2H2, The kinetic equation for the CO2 dry reforming reaction rate is: Where r is the reaction rate, k is the reaction rate constant; CH4 and CO2 are the concentrations of methane and carbon dioxide, respectively.

6. The CO2 dry weight integer value simulation method based on Joule heating according to claim 5, characterized in that: The expression for the reaction rate constant is: Where A is the pre-exponential factor, Ea is the activation energy of the reaction, R is the gas constant, and T is the absolute temperature.

7. The CO2 dry weight integer value simulation method based on Joule 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: current density, voltage, reactor temperature, reaction time; and / or, The simulation results of CO2 dry reforming include any one of the following or any combination thereof: reaction rate, hydrogen production.

8. A CO2 dry weight integer value simulation system based on Joule heating, characterized in that: include: The first establishment module is used to: establish a reactor thermophysical model based on Joule heating; The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming; The coupled simulation module is used to couple the established Joule-heated reactor thermophysical model and the chemical reaction kinetic model, and to make them undergo Joule-heated CO2 dry reforming reaction under different simulation conditions, so as to obtain favorable reaction conditions for Joule-heated CO2 dry reforming.

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 CO2 dry weight integer value simulation method based on Joule 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, the method for simulating the CO2 dry weight integer value based on Joule heating as described in any one of claims 1 to 7 is implemented.

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