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

Abstract

The invention relates to the technical field of chemical engineering, and discloses a CO2 dry reforming numerical simulation method, system, equipment and medium based on thermoelectric heating, thermoelectric heating and a CO2 dry reforming process are closely integrated, through multi-physics field coupling numerical simulation, the CO2 dry reforming method based on thermoelectric heating can ensure efficient energy absorption and catalytic reaction performance, and 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 thermoelectric heating. Background Art

[0002] With the increasing 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 thermoelectric heating, aiming to combine the reactor thermophysical model based on thermoelectric heating with the chemical reaction kinetic model to establish a robust coupling framework to optimize DRM under different operating conditions and improve the production 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, equipment and medium based on thermoelectric heating, which are used to solve the defect of the traditional DRM method that the energy utilization efficiency of the reaction is extremely low due to high energy consumption and inefficient heat transfer.

[0005] The present invention provides a CO2 dry weight integer value simulation method based on thermoelectric heating, comprising:

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

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

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

[0009] According to a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention, the establishment of a reactor thermophysical model based on thermoelectric heating includes:

[0010] By combining the thermoelectric figure of merit expression, the Böltier coefficient expression, the heat absorption and release flow expression, the heat conduction equation, the heat convection equation, and the temperature distribution equation, a thermophysical model of a reactor based on thermoelectric heating is established, wherein the thermophysical model of a reactor based on thermoelectric heating includes a reactor and a heating component for realizing thermoelectric heating.

[0011] According to a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention, the thermoelectric figure of merit expression is:

[0012]

[0013] In the formula, Z value is the thermoelectric figure of merit, α AB =α A -α B is the difference in Seebeck coefficient. For metals, is approximately a constant, so Z Change; Semiconductors have a larger Seebeck coefficient, and their Z value is 10 times or more than that of metals;

[0014] The expression of the Pöltier coefficient is:

[0015] Π=T(α2-α1),

[0016] Where, T(α2-α1) is the temperature difference between α2 and α1;

[0017] The expression of heat absorption and release flow is:

[0018] Q=ΠI,

[0019] In the formula, Q is the amount of heat absorbed and released, and I is the current;

[0020] The heat conduction equation is:

[0021]

[0022] 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;

[0023] The heat convection equation is:

[0024] q=h·A·(T s -T ∞ ),

[0025] 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);

[0026] The temperature distribution equation is:

[0027]

[0028] 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 heat sources for thermoelectric heating.

[0029] According to a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention, the chemical reaction kinetic model for simulating CO2 dry reforming is established, comprising:

[0030] 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.

[0031] According to a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention, the chemical reaction formula of CO2 dry reforming is:

[0032] CH4+CO2→2CO+2H2,

[0033] The kinetic equation for the CO2 dry reforming reaction rate is:

[0034]

[0035] 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).

[0036] According to a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention, the expression of the reaction rate constant is:

[0037]

[0038] 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).

[0039] According to a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention, different simulation conditions include any one of the following or any combination thereof: thermoelectric material parameters, current, reactor temperature, reaction time, methane flow rate, carbon dioxide flow rate; and / or,

[0040] The simulation results of CO2 dry reforming include any one of the following or any combination thereof: reaction rate, carbon monoxide production, and hydrogen production.

[0041] The present invention also provides a CO2 dry weight integer value simulation system based on thermoelectric heating, comprising:

[0042] The first establishment module is used to: establish a thermophysical model of a reactor based on thermoelectric heating;

[0043] The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming;

[0044] The coupling simulation module is used to couple the thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model, and to make them undergo the CO2 dry reforming reaction of thermoelectric heating under different simulation conditions, so as to obtain favorable reaction conditions for the CO2 dry reforming of thermoelectric heating.

[0045] 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 thermoelectric heating is implemented.

[0046] 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 methods for simulating an integer value of CO2 dry weight based on thermoelectric heating.

[0047] 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 thermoelectric heating.

[0048] The present invention provides a CO2 dry weight integer value simulation method, system, equipment and medium based on thermoelectric heating, which tightly integrates thermoelectric heating with the CO2 dry reforming process. Through multi-physical field coupling numerical simulation, the CO2 dry reforming method using thermoelectric 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, providing valuable reference for experimental design and process optimization, reducing dependence on physical prototypes, thereby greatly reducing development costs 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

[0049] 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.

[0050] Figure 1 A schematic flow chart of a method for simulating an integer value of dry weight of CO2 based on thermoelectric heating provided by the present invention.

[0051] Figure 2 It is a structural schematic diagram of the thermal physical model of a reactor based on thermoelectric heating, showing the basic structure of the thermal physical model of a reactor based on thermoelectric heating, including the relative position relationship and connection method of components such as the thermoelectric arm, catalyst filling position, and reactor shell. The thermoelectric arm is marked at 1, and the Ni / Al2O3 catalyst filling layer is marked at 2.

[0052] Figure 3 This is a schematic diagram of the thermoelectric heating principle, showing that the thermoelectric material produces a thermoelectric effect under the action of temperature difference. The current flows through the reactants in the reactor to heat them. The direction of current flow and the area where heat is generated are marked in the figure.

[0053] Figure 4 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.

[0054] Figure 5 It is the concentration distribution diagram of reactant CH4.

[0055] Figure 6 This is the distribution diagram of the product H2 concentration.

[0056] Figure 7 A schematic structural diagram of a CO2 dry weight integer value simulation system based on thermoelectric heating provided by the present invention.

[0057] Figure 8 This is a schematic structural diagram of an electronic device provided by the present invention. DETAILED DESCRIPTION

[0058] 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.

[0059] Thermoelectric effect refers to a series of physical phenomena produced by certain materials under conditions such as temperature difference and current flow, such as Seebeck effect, Peltier effect and Thomson effect. These effects enable thermoelectric materials to realize the mutual conversion of thermal energy and electrical energy under different temperature environments, thus creating conditions for accurately controlling the reaction temperature and improving energy utilization efficiency.

[0060] The present invention believes that the use of these characteristics of thermoelectric materials can achieve more efficient and accurate control of methane dry reforming reactions. Inside the reactor, the thermoelectric material produces a thermoelectric effect according to the set conditions, thereby heating the methane and carbon dioxide reactants. At the same time, the application of numerical simulation technology allows researchers to conduct detailed analysis and optimization of the thermal field and potential distribution during the reaction process. By establishing an accurate mathematical model to simulate processes such as heat conduction, heat convection, and chemical reactions, the temperature changes and potential distribution at different locations can be predicted, so as to timely adjust the relevant parameters and reaction conditions of the thermoelectric material, avoid the occurrence of local overheating, and ensure that the reaction is carried out in a more uniform temperature environment. This precise control not only increases the reaction rate, allowing methane and carbon dioxide to be converted into hydrogen and carbon monoxide more quickly, but also improves energy efficiency and reduces energy waste.

[0061] Therefore, the present invention proposes a CO2 dry weight integer value simulation method based on thermoelectric heating.

[0062] Figure 1 A flow chart of a CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention. The execution subject of the CO2 dry weight integer value simulation method based on thermoelectric heating provided by the present invention can be any applicable terminal side device or network side device, such as a CO2 dry weight integer value simulation device based on thermoelectric heating, etc.

[0063] See also Figure 1 The present invention provides a CO2 dry weight integer value simulation method based on thermoelectric heating, which may include:

[0064] S110. Establish a thermal physical model of a reactor based on thermoelectric heating.

[0065] Thermoelectric effects include Seebeck effect, Peltier effect and Thomson effect. In this embodiment, the Peltier effect is mainly used, that is, when current passes through the junction of two different materials, heat absorption or heat release will occur at the junction. Figure 3 Shown is a schematic diagram explaining the relevant mechanism of thermoelectric heating. This schematic diagram mainly shows the principle of the thermoelectric effect in the heating process. The Peltier effect refers to the phenomenon of heat absorption or heat release at two joints when the current passes through a loop composed of two different conductors. Specifically, when the current flows from one material (marked as a P-type semiconductor) to another material (marked as an N-type semiconductor), heat is released at one joint and heat is absorbed at the other joint. In the reactor of the methane dry reforming reaction, the Peltier effect can be used to control the temperature inside the reactor by rationally designing the material and structure of the thermoelectric arm. For example, in the area that needs to be heated, the direction of the current is adjusted so that the thermoelectric arm releases heat in the area, thereby achieving heating of the reactants.

[0066] The Seebeck effect refers to the electromotive force generated in a loop composed of two different conductors when there is a temperature difference in the loop. In the reactor, the Seebeck effect can be used to monitor and feedback the temperature difference between the two ends of the thermoelectric arm, thereby achieving precise control of the thermoelectric heating process. By measuring the generated electromotive force, the temperature distribution in the reactor can be indirectly understood, and then the current or other parameters can be adjusted to ensure the temperature uniformity in the reactor. Figure 3 The improvement of the schematic diagram explaining the thermoelectric heating mechanism shown can provide a better understanding of the application principles of the thermoelectric effect in the methane dry reforming reaction, and how to achieve efficient and uniform heating and reaction control through these principles.

[0067] In one embodiment, S110 combines the thermoelectric figure of merit expression, the Böltier coefficient expression, the heat absorption and release flow expression, the heat conduction equation, the heat convection equation, and the temperature distribution equation to establish a thermophysical model of a reactor based on thermoelectric heating, and 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. The thermophysical model of a reactor based on thermoelectric heating includes a reactor and a heating component for realizing thermoelectric heating. For details, see Figure 2 The thermophysical model of the thermoelectric heating reactor in this embodiment includes thermoelectric arms, catalyst filling layers, and reactors. The catalyst inside the reactor uses eggshell-type Ni / Al2O3 catalysts with a diameter of 3 mm. The active centers (Ni) are 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.

[0068] Thermoelectric devices use the Peltier effect. They consist of multiple thermoelectric arms sandwiched between two heat conducting plates. Thermoelectric heating uses the current physics field and adds a normal current density interface to the positive electrode to adjust the heat generation according to the current density. A ground interface is added to the negative electrode. Copper is used as the material for the heat conducting plate, and lead telluride is used as the material for the thermoelectric arms.

[0069] In this embodiment, the thermoelectric arm material in the reactor is lead telluride (PbTe), which is a material with good thermoelectric properties. Its Seebeck coefficient, electrical conductivity and thermal conductivity can meet the requirements of the present invention for thermoelectric heating under certain conditions. The heat conducting plate material is copper, which has excellent thermal conductivity and can effectively transfer the heat generated by the thermoelectric arm to the reactants to ensure uniform heat distribution.

[0070] The outer tube of the reactor is made of materials that can withstand high pressure, such as stainless steel or nickel-based alloys. These materials have high strength and corrosion resistance, can maintain structural stability under high temperature and high pressure reaction environments, and provide safe and reliable containers for reactions.

[0071] The catalyst particles are filled in the gap between the inner and outer tubes. This embodiment uses a Ni / Al2O3 catalyst, in which the active ingredient nickel (Ni) is evenly distributed on an alumina (Al2O3) carrier. This catalyst structure helps to improve the adsorption and reaction activity of reactants on the catalyst surface, thereby increasing the reaction rate. Specifically, the Ni / Al2O3 catalyst particles used as the catalyst inside the reactor are of moderate size and have a large specific surface area, which can provide more active sites and promote the adsorption and reaction of methane and carbon dioxide molecules.

[0072] like Figure 2 As shown in the figure, the thermoelectric arms are evenly distributed inside the reactor and are in close contact with the heat conducting plate to better transfer heat. The catalyst filling layer is located between the inner and outer tubes and is in full contact with the reactants to ensure that the reaction can proceed efficiently. The overall structural design of the reactor is reasonable, taking into account the efficiency of thermoelectric heating, the role of the catalyst, and the safety and stability of the reaction. Figure 2 The structure diagram of the thermophysical model of the reactor based on thermoelectric heating is shown, which includes but is not limited to the relative position relationship and connection mode of each component, providing intuitive visual assistance for understanding the overall technical solution of the present invention. The parameters such as the inner diameter, height and reactant flow rate of the reactor are set according to the actual reaction requirements, for example, the reactant flow rate ratio is set to 1:1 for methane and carbon dioxide.

[0073] The thermoelectric figure of merit expression is:

[0074]

[0075] In the formula, Z value is the thermoelectric figure of merit, α AB =αA -α B is the difference in Seebeck coefficient. For metals, is approximately a constant, so Z Change; Semiconductors have a larger Seebeck coefficient, and their Z value is 10 times or more than that of metals;

[0076] The expression of the Pöltier coefficient is:

[0077] Π=T(α2-α1),

[0078] Where, T(α2-α1) is the temperature difference between α2 and α1;

[0079] The expression of heat absorption and release flow is:

[0080] Q=ΠI,

[0081] In the formula, Q is the amount of heat absorbed and released, and I is the current.

[0082] In the thermoelectric heating process, heat is transferred to the reactants through the electrodes and the reactor wall. The heat transfer equation is:

[0083]

[0084] 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;

[0085] 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.

[0086] Convection is the heat transfer caused by the flow of reactants in the reactor. The convection equation is:

[0087] q=h·A·(T s -T ∞ ),

[0088] 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);

[0089] Taking into account the role of thermoelectric 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:

[0090]

[0091] 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 heat sources for thermoelectric heating.

[0092] S120. Establish a chemical reaction kinetic model to simulate CO2 dry reforming.

[0093] 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.

[0094] 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:

[0095] CH4+CO2→2CO+2H2,

[0096] The kinetic equation for the CO2 dry reforming reaction rate is:

[0097]

[0098] 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);

[0099] The reaction rate constant k usually changes with temperature. The expression of the reaction rate constant is:

[0100]

[0101] 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).

[0102] Through numerical simulation methods, the temperature distribution at different locations in the reactor can be obtained to optimize the heating conditions.

[0103] Through numerical simulation analysis, combined with the temperature field and flow regulation in the reactor, the present invention can optimize the reaction process in real time. In particular, by adjusting the relevant parameters of the thermoelectric material, the reaction rate can be accurately controlled at different temperatures to increase the reaction rate and hydrogen production. The numerical simulation method can effectively optimize the design of the reactor, including the selection of conductor materials, geometric structure design, and thermoelectric potential distribution, thereby ensuring uniform temperature distribution inside the reactor and maximizing the reaction rate and hydrogen production.

[0104] S130, coupling the thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model, and making them undergo the CO2 dry reforming reaction of thermoelectric heating under different simulation conditions, so as to obtain favorable reaction conditions for the CO2 dry reforming of thermoelectric heating.

[0105] The different simulation conditions include any one of the following or any combination thereof: thermoelectric material parameters, current, reactor temperature, reaction time, methane flow rate, carbon dioxide flow rate; and / or,

[0106] The simulation results of CO2 dry reforming include any one of the following or any combination thereof: reaction rate, carbon monoxide production, and hydrogen production. The simulation conditions can be inferred from the simulation results of CO2 dry reforming (for example, a certain indicator in the simulation results of CO2 dry reforming reaches a preset requirement, etc.) to obtain favorable reaction conditions for CO2 dry reforming with thermoelectric heating.

[0107] This embodiment integrates thermoelectric heating technology and numerical simulation optimization methods to not only significantly improve the energy efficiency of methane dry reforming reaction, but also improve the reaction effect and reduce energy loss in traditional heating methods. This technical solution has important application prospects in optimizing reactor design, improving reaction rate and hydrogen production.

[0108] In order to optimize the temperature distribution in the reactor, during the simulation process, the relevant parameters of the thermoelectric material are set according to the specific situation to ensure that the thermoelectric effect is evenly distributed in the reactor. The simulation results show that under reasonable parameter settings, the temperature distribution inside the reactor is relatively uniform, and the local temperature difference is controlled within ±5°C, thus avoiding local overheating. Figure 4 The figure shows the temperature distribution cloud of thermoelectric heating. It can be clearly seen from the figure that under reasonable parameter settings, the temperature inside the reactor presents a relatively uniform distribution state. The temperature difference between different areas is small, and the local temperature difference is strictly controlled within ±5°C. This uniform temperature distribution effectively avoids the occurrence of local overheating, provides a stable and suitable temperature environment for methane dry reforming reaction, is conducive to improving the reaction rate and reaction selectivity, and also reduces problems such as catalyst deactivation that may be caused by local overheating.

[0109] This embodiment combines the kinetic model of methane dry reforming reaction, and adjusts the relevant parameters and voltage of the thermoelectric material by real-time monitoring of the temperature and flow rate 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 relevant parameters and current of the thermoelectric material are adjusted in real time during the experiment to optimize the reaction rate. By combining experiments with numerical simulations, this embodiment effectively improves the reaction rate. Under reasonable thermoelectric material parameter settings, the reaction rate is increased by about 30% compared with traditional heating methods. Refer to the attached Figure 5 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 6 The displayed product H2 concentration distribution diagram shows that the concentration of product H2 reaches the highest value at the outlet of the reactor.

[0110] During the implementation process, several groups of experiments were conducted, using different thermoelectric material parameters and reaction times as simulated reaction conditions, and collecting data on the temperature inside the reactor, hydrogen production, and reaction rate. The experimental results show that the thermoelectric heating method can effectively increase the reaction rate and hydrogen production compared to the traditional heating method. The following is an example of experimental data:

[0111]

[0112] The present invention provides a CO2 dry weight integer value simulation method based on thermoelectric heating, which can at least bring the following beneficial effects:

[0113] 1. Improve heating efficiency: The present invention directly heats the subject in the reactor through thermoelectric heating, avoiding the loss of heat energy during the traditional heating method. Thermoelectric materials automatically generate current to heat the reactants according to the temperature difference, which is more efficient and saves energy.

[0114] 2. Optimize temperature distribution: Numerical simulation results show that the optimized thermoelectric material parameters and potential distribution make the temperature distribution in the reactor more uniform, and the local temperature difference is controlled within ±5°C, avoiding the low reaction efficiency caused by uneven temperature.

[0115] 3. Increase the reaction rate: Due to the high efficiency of thermoelectric 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 dumped carbon dioxide and increase the hydrogen production.

[0116] 4. Reduce energy loss: Thermoelectric heating can directly convert electrical energy into thermal energy, reducing the loss in the process of heat energy transfer. Compared with traditional gas heating methods, the overall energy utilization efficiency has been significantly improved.

[0117] This example combines numerical simulation with experimental data to verify the advantages of thermoelectric heating in methane dry reforming reactions. By rationally controlling the relevant parameters of thermoelectric materials and the 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.

[0118] The CO2 dry weight integer value simulation system based on thermoelectric heating provided by the present invention is described below. The CO2 dry weight integer value simulation system based on thermoelectric heating described below and the CO2 dry weight integer value simulation method based on thermoelectric heating described above can be referenced to each other.

[0119] See also Figure 7 The present invention provides a CO2 dry weight integer value simulation system based on thermoelectric heating, which may include:

[0120] The first establishment module is used to: establish a thermophysical model of a reactor based on thermoelectric heating;

[0121] The second establishment module is used to: establish a chemical reaction kinetic model for simulating CO2 dry reforming;

[0122] The coupling simulation module is used to couple the thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model, and to make them undergo the CO2 dry reforming reaction of thermoelectric heating under different simulation conditions, so as to obtain favorable reaction conditions for the CO2 dry reforming of thermoelectric heating.

[0123] Figure 8 An example of a physical structure diagram of an electronic device is shown in FIG. Figure 8 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:

[0124] Establish a thermophysical model of the reactor based on thermoelectric heating;

[0125] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0126] The thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model are coupled, and the CO2 dry reforming reaction with thermoelectric heating under different simulation conditions is carried out to obtain favorable reaction conditions for the CO2 dry reforming with thermoelectric heating.

[0127] 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.

[0128] 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:

[0129] Establish a thermophysical model of the reactor based on thermoelectric heating;

[0130] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0131] The thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model are coupled, and the CO2 dry reforming reaction with thermoelectric heating under different simulation conditions is carried out to obtain favorable reaction conditions for the CO2 dry reforming with thermoelectric heating.

[0132] 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:

[0133] Establish a thermophysical model of the reactor based on thermoelectric heating;

[0134] Establish a chemical reaction kinetic model to simulate CO2 dry reforming;

[0135] The thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model are coupled, and the CO2 dry reforming reaction with thermoelectric heating under different simulation conditions is carried out to obtain favorable reaction conditions for the CO2 dry reforming with thermoelectric heating.

[0136] 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.

[0137] 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.

[0138] 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 method for simulating the integer value of CO2 dry weight based on thermoelectric heating, characterized in that: include: Establish a thermophysical model of the reactor based on thermoelectric heating; Establish a chemical reaction kinetic model to simulate CO2 dry reforming; The thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model are coupled, and the CO2 dry reforming reaction with thermoelectric heating under different simulation conditions is carried out to obtain favorable reaction conditions for the CO2 dry reforming with thermoelectric heating.

2. The CO2 dry weight integer value simulation method based on thermoelectric heating according to claim 1, characterized in that: The establishment of a thermophysical model of a reactor based on thermoelectric heating comprises: By combining the thermoelectric figure of merit expression, the Böltier coefficient expression, the heat absorption and release flow expression, the heat conduction equation, the heat convection equation, and the temperature distribution equation, a thermophysical model of a reactor based on thermoelectric heating is established, wherein the thermophysical model of a reactor based on thermoelectric heating includes a reactor and a heating component for realizing thermoelectric heating.

3. The CO2 dry weight integer value simulation method based on thermoelectric heating according to claim 2, characterized in that: The thermoelectric figure of merit expression is: In the formula, Z value is the thermoelectric figure of merit, α AB =α A -α B is the difference in Seebeck coefficient. For metals, is approximately a constant; The expression of the Pöltier coefficient is: Π=T(α2-α1), Where, T(α2-α1) is the temperature difference between α2 and α1; The expression of heat absorption and release flow is: Q=ΠI, In the formula, Q is the amount of heat absorbed and released, and I is the current; 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 thermoelectric 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 thermoelectric heating according to claim 4 is characterized in that: The chemical reaction formula for 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 thermoelectric 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 thermoelectric heating according to any one of claims 1 to 6, characterized in that: Different simulation conditions include any one of the following or any combination thereof: thermoelectric material parameters, current, reactor temperature, reaction time, methane flow rate, carbon dioxide flow rate; and / or, The simulation results of CO2 dry reforming include any one of the following or any combination thereof: reaction rate, carbon monoxide production, and hydrogen production.

8. A CO2 dry weight integer value simulation system based on thermoelectric heating, characterized in that: include: The first establishment module is used to: establish a thermophysical model of a reactor based on thermoelectric heating; 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 thermophysical model of the reactor based on thermoelectric heating and the chemical reaction kinetic model, and to make them undergo the CO2 dry reforming reaction of thermoelectric heating under different simulation conditions, so as to obtain favorable reaction conditions for the CO2 dry reforming of thermoelectric 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 CO2 dry weight integer value simulation method based on thermoelectric 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 thermoelectric heating as described in any one of claims 1 to 7 is implemented.

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