Structural optimization method for graphene and phase change material heating and thermal storage integrated unit

Abstract

The present application provides a structural optimization method for a graphene and phase change material heating and heat storage integrated unit, which relates to the field of applied material technology, including: performing random arrangement of graphene and phase change materials in the heating and heat storage integrated unit; performing heating and heat storage simulation and distribution analysis based on structural information; performing heat transfer difference analysis based on heat transfer parameter distribution, performing graphene distribution difference analysis and phase change material distribution difference analysis based on graphene distribution and phase change material distribution; performing structural concentration analysis, calculating structural fitness, and optimizing structural information based on graphene difference distribution and phase change material difference distribution. This application can solve the technical problems in the prior art that the uneven distribution of graphene and phase change materials leads to the concentration of thermal stress in local areas and unstable heat transfer performance, achieve the technical goal of uniform distribution of graphene and phase change materials, and achieve the technical effect of improving the heat transfer efficiency of the heating and heat storage integrated unit.

Description

Technical Field

[0001] The present application relates to the field of applied material technology, and in particular to a method for optimizing the structure of a graphene and phase change material integrated heating and thermal storage unit. Background Art

[0002] With the continuous improvement of modern energy utilization efficiency, various energy storage and heating technologies have gradually become key links in industrial and household applications. Among them, the integrated heating and thermal storage unit, as an efficient thermal energy management system, is widely used in many fields because it can achieve rapid heat conduction and long-term storage. However, the existing heating and thermal storage system still has many shortcomings in terms of heat transfer efficiency, material distribution uniformity and system cost optimization, which directly affects the overall performance and service life of the system.

[0003] At present, in the existing technology, the combination of graphene and phase change materials is usually used to improve the heat transfer efficiency. Graphene has become the preferred material for heat transfer medium due to its excellent thermal conductivity, while phase change materials can store heat by absorbing and releasing heat. However, in practical applications, the distribution of graphene and phase change materials is often not uniform, which leads to thermal stress concentration in local areas, thereby shortening the service life of the unit. For example, the distribution of graphene in certain areas is too sparse, and the heat transfer performance is poor, resulting in a slow temperature rise in the area, while other areas have excessive concentration of graphene and too fast heat transfer speed, resulting in local overheating and increasing the thermal stress of the system. In addition, the uneven distribution of materials may also cause structural stress concentration, affecting the overall stability of the unit.

[0004] In summary, the prior art has technical problems in that the uneven distribution of graphene and phase change materials leads to concentrated thermal stress in local areas and unstable heat transfer performance, further affecting the overall service life and system stability of the heating and thermal storage integrated unit. Summary of the invention

[0005] The purpose of this application is to provide a structural optimization method for a graphene and phase change material integrated heating and thermal storage unit, so as to solve the technical problem in the prior art that due to the uneven distribution of graphene and phase change materials, thermal stress concentration in local areas and unstable heat transfer performance further affect the overall service life and system stability of the integrated heating and thermal storage unit.

[0006] In view of the above problems, the present application provides a structural optimization method for a graphene and phase change material integrated heating and heat storage unit, comprising: randomly arranging graphene and phase change materials in a structural space within the heating and heat storage integrated unit to obtain structural information, wherein the structural space includes multiple structural areas; performing a heating and heat storage simulation based on the structural information to obtain a heat transfer parameter distribution, and performing a distribution analysis of graphene and phase change materials based on the structural information to obtain a graphene distribution and a phase change material distribution; performing a heat transfer difference analysis based on the heat transfer parameter distribution to obtain a heat transfer difference distribution, performing a graphene distribution difference analysis and a phase change material distribution difference analysis based on the graphene distribution and the phase change material distribution to obtain a graphene difference distribution and a phase change material difference distribution; performing a structural concentration analysis based on the graphene difference distribution and the phase change material difference distribution to obtain a structural concentration distribution, calculating the structural fitness by combining the heat transfer difference distribution and the structural cost of the structural information, optimizing the structural information, and obtaining a structural optimization result.

[0007] One or more technical solutions provided in this application have at least the following technical effects or advantages:

[0008] Structural information is obtained by randomly arranging graphene and phase change materials in a structural space within a heating and heat storage integrated unit, wherein the structural space includes a plurality of structural regions; a heating and heat storage simulation is performed based on the structural information to obtain a heat transfer parameter distribution, and a distribution analysis of graphene and phase change materials is performed based on the structural information to obtain a graphene distribution and a phase change material distribution; a heat transfer difference analysis is performed based on the heat transfer parameter distribution to obtain a heat transfer difference distribution, and a graphene distribution difference analysis and a phase change material distribution difference analysis are performed based on the graphene distribution and the phase change material distribution to obtain a graphene difference distribution and a phase change material difference distribution; a structural concentration analysis is performed based on the graphene difference distribution and the phase change material difference distribution to obtain a structural concentration distribution, and the structural fitness is calculated by combining the heat transfer difference distribution and the structural cost of the structural information, and the structural information is optimized to obtain a structural optimization result, thereby achieving the technical goal of uniform distribution of graphene and phase change materials and achieving the technical effect of improving the heat transfer efficiency of the heating and heat storage integrated unit and extending the service life of the system.

[0009] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented according to the contents of the specification, and in order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are specifically cited below. It should be understood that the content described in this section is not intended to identify the key or important features of the embodiments of the present application, nor is it intended to limit the scope of the present application. Other features of the present application will become easy to understand through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0010] In order to more clearly illustrate the technical solutions in the present application 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 in the following description are only exemplary, and for ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying any creative work.

[0011] Figure 1 A schematic flow chart of a structural optimization method for a graphene and phase change material heating and thermal storage integrated unit of the present application;

[0012] Figure 2 This is a schematic diagram of the process of obtaining structural information in the structural optimization method of the graphene and phase change material integrated heating and thermal storage unit of the present application. DETAILED DESCRIPTION

[0013] This application provides a structural optimization method for a graphene and phase change material heating and thermal storage integrated unit, which solves the technical problem in the prior art that the uneven distribution of graphene and phase change materials leads to concentrated thermal stress in local areas and unstable heat transfer performance, further affecting the overall service life and system stability of the heating and thermal storage integrated unit. The technical goal of achieving uniform distribution of graphene and phase change materials is achieved, achieving the technical effect of improving the heat transfer efficiency of the heating and thermal storage integrated unit and extending the service life of the system.

[0014] Below, the technical solutions in the present application will be clearly and completely described with reference to the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present application, rather than all of the embodiments of the present application. It should be understood that the present application is not limited to the example embodiments described herein. Based on the embodiments of the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present application. It should also be noted that, for the convenience of description, only the parts related to the present application are shown in the accompanying drawings, rather than all of them.

[0015] Please see attached Figure 1 The present application provides a structural optimization method for a graphene and phase change material heating and thermal storage integrated unit, which specifically includes the following steps:

[0016] Step 1: Randomly arrange graphene and phase change materials in a structural space within the heating and thermal storage integrated unit to obtain structural information, wherein the structural space includes multiple structural regions.

[0017] Specifically, in the integrated heating and thermal storage unit, the structural space refers to the area where graphene and phase change materials are arranged. The structural space can be further divided into multiple structural areas, each of which has a different arrangement. By randomly arranging graphene and phase change materials, the contact area between the materials can be increased, thereby improving the heat conduction efficiency. For example, in the structural area, a layer of graphene thermal conductive material is sandwiched between two layers of phase change materials. The thickness of the phase change material is 2 mm, and the thickness of the graphene is 0.5 mm. After random arrangement, the contact area of ​​the materials increases, and the heat conduction efficiency is also improved, thereby optimizing heat transfer.

[0018] Step 2: Perform heating and heat storage simulation based on the structural information to obtain heat transfer parameter distribution, and perform distribution analysis of graphene and phase change material based on the structural information to obtain graphene distribution and phase change material distribution.

[0019] Specifically, heating and heat storage simulation is performed based on structural information, and the heating and heat storage process is simulated using the existing structural layout to obtain the heat transfer conditions of each structural area, that is, the heat transfer parameter distribution, which reflects the heating parameters of each structural area. For example, the heating rate in one area may be 5 degrees Celsius per minute, while in another area it may be 3 degrees Celsius per minute. This helps to judge the heat transfer efficiency of each structural area.

[0020] Next, based on the structural information, the distribution analysis of graphene and phase change materials is further performed to determine the specific distribution location and quantity of graphene and phase change materials in the structural space. For example, in a structural area, the distribution amount of graphene may be 50% and the phase change material is 50%, while in another area, the proportion of graphene may be 30% and the phase change material is 70%. By extracting the distribution information and constructing a distribution model of graphene and phase change materials, the use of materials and heat transfer efficiency can be better optimized.

[0021] Step three: performing heat transfer difference analysis based on the heat transfer parameter distribution to obtain heat transfer difference distribution, and performing graphene distribution difference analysis and phase change material distribution difference analysis based on the graphene distribution and phase change material distribution to obtain graphene difference distribution and phase change material difference distribution.

[0022] Specifically, heat transfer difference analysis is performed based on the distribution of heat transfer parameters, heat transfer parameters of different areas are analyzed, heat transfer differences between areas are identified, areas with uneven heat transfer are found, and heat is evenly distributed to avoid excessively fast or slow heat transfer in some areas, which leads to concentrated thermal stress. Differences may generate local thermal stress, which may have an adverse effect on the life of the unit.

[0023] Next, according to the distribution of graphene and phase change materials, the difference analysis of graphene distribution and the difference analysis of phase change material distribution are performed respectively to check whether graphene and phase change materials are evenly distributed in the structure. Uneven distribution may lead to insufficient materials in some areas, thus affecting the heat transfer efficiency and stability. For example, if the distribution of graphene in a certain area is 40%, while in another area it is only 20%, affecting the heat conduction effect of that area. Similarly, the difference in the distribution of phase change materials will also lead to uneven local heat transfer, thereby increasing the risk of stress concentration.

[0024] Through these analyses, we obtain heat transfer differential distribution, graphene differential distribution and phase change material differential distribution. These differential distributions are the deviations between each region and the ideal state. The significant graph shows which regions have uneven heat transfer or material distribution, and then optimizes the structure to avoid local stress concentration. Ultimately, ensuring uniform heat transfer and material distribution can extend the life of the unit and reduce the damage of thermal stress to the system.

[0025] Step 4: Perform structural concentration analysis based on the graphene difference distribution and the phase change material difference distribution to obtain the structural concentration distribution, combine the heat transfer difference distribution and the structural cost of the structural information, calculate the structural fitness, optimize the structural information, and obtain the structural optimization result.

[0026] Specifically, the structure concentration analysis is performed based on the differential distribution of graphene and phase change materials to evaluate whether the distribution of graphene and phase change materials in each structural area is uniform. By comparing the material distribution in different areas, it is determined whether there are areas where the material distribution is too dense or too sparse. For example, if the difference in the distribution of graphene in one area is 10%, while the difference in another area is only 2%, it means that the material distribution in the first area is not uniform enough.

[0027] Next, the fitness of the structure is further calculated by combining the heat transfer difference distribution and the structural cost in the structural information. The heat transfer difference distribution represents the difference in heat transfer performance in each area, and the cost reflects the economy of design and materials. Assuming that the heat transfer difference in a certain area is 5% and the cost is 1,000 yuan, the balance between the performance and cost of the structure can be evaluated through fitness calculation.

[0028] Finally, through the calculation of fitness, the structural information is optimized to find the optimal structural design. For example, after analysis, it is found that the heat transfer difference of a certain material arrangement is the smallest, the cost is low, and the fitness is the highest, which is taken as the optimal design, and then the structural optimization result is obtained, that is, while meeting the performance requirements, reducing the cost and achieving the optimal configuration.

[0029] The structural optimization method of the graphene and phase change material heating and thermal storage integrated unit can achieve the technical goal of uniform distribution of graphene and phase change material, and achieve the technical effect of improving the heat transfer efficiency of the heating and thermal storage integrated unit and extending the service life of the system.

[0030] Further, if Figure 2 As shown, this application also includes:

[0031] A space in which graphene and phase change materials are arranged in the heating and thermal storage integrated unit is obtained as a structural space; and graphene and phase change materials are randomly arranged in the structural space to obtain structural information.

[0032] Specifically, the space where graphene and phase change materials are located inside the heating and thermal storage integrated unit is obtained as the structural space to provide a basic environment for subsequent optimization. For example, the structural space is a unit space with a length of 10 cm and a width of 5 cm.

[0033] Next, graphene and phase change materials are randomly arranged in the structural space to obtain structural information, including the specific distribution patterns of graphene and phase change materials, the distance between materials, and the density of arrangement, etc., and then by finding the optimal material arrangement, different heat storage and thermal conductivity effects brought about by different arrangement methods are obtained.

[0034] By obtaining the structural space of the integrated heating and thermal storage unit and randomly arranging graphene and phase change materials in the space to obtain structural information, a feasible basis is provided for optimizing its thermal conductivity and thermal storage performance.

[0035] Furthermore, the present application also includes:

[0036] Pre-training a heating thermal storage simulator; using the heating thermal storage simulator to perform a heating thermal storage simulation under preset thermal storage conditions to obtain a heat transfer parameter distribution, wherein the heat transfer parameter distribution includes heat transfer parameters within the multiple structural areas.

[0037] Specifically, pre-training a heating and thermal storage simulator means simulating a specific system to pre-train a simulator that can reflect the heating and thermal storage process, and then modeling and optimizing the system before actual application. For example, a heating and thermal storage simulator for a unit system can simulate in advance by inputting different conditions to obtain relevant information on how to heat and store heat.

[0038] Next, using the pre-trained heating thermal storage simulator, simulations can be performed under set thermal storage conditions to obtain the distribution of heat transfer parameters and the heat conduction conditions in different areas, such as the heat transfer rate and temperature changes in 10 different structural areas. For example, the temperature rise rate in a structural area is 5 degrees Celsius per minute, while in another structural area it is 3 degrees Celsius per minute.

[0039] By collecting structural information and heating parameters of different samples, the heat transfer process is simulated and trained under preset conditions to provide a reference for subsequent optimization.

[0040] Furthermore, the present application also includes:

[0041] According to the heating and heat storage test data of the heating and heat storage integrated unit, a sample structure information set is collected, and the temperature rise parameter distribution during heating and heat storage under preset heat storage conditions under different sample structure information is collected to obtain a sample heat transfer parameter distribution set, wherein each sample heat transfer parameter distribution includes the temperature rise parameters of multiple structural areas in the structural space; the sample structure information set and the sample heat transfer parameter distribution set are used as supervised training data and verification data to train and verify the heating and heat storage simulator.

[0042] Specifically, based on the heating and thermal storage test data of the heating and thermal storage integrated unit, that is, the data obtained through actual testing, the performance history data under different conditions is obtained. For example, when the heating and thermal storage integrated unit is operated under different temperature or pressure conditions, the recorded data will include the temperature changes and heat transfer rates of various regions.

[0043] Next, based on the heating and thermal storage test data, a sample structure information set is collected. From the different sample structure information, structural information is obtained, such as the arrangement and spatial distribution of graphene and phase change materials. It is like using different material arrangements in different experiments, and then collecting these arrangements and spatial structure information to form a sample library. For example, the thickness of graphene in a certain sample is 0.5 mm, while the thickness of the phase change material is 2 mm.

[0044] Next, for different sample structure information, under the preset heat storage conditions, heating and heat storage tests were carried out to collect the temperature rise parameter distribution. The temperature rise parameter distribution refers to the temperature rise of the system in different areas. For example, the temperature rise rate in one area is 5 degrees Celsius per minute, while the rate in another area is 3 degrees Celsius per minute. This forms a sample heat transfer parameter distribution set, each of which represents the heat transfer performance of a sample under specific conditions.

[0045] Then, the sample structure information set and the sample heat transfer parameter distribution set are used as supervised training data and verification data. The heating thermal storage simulator is trained with supervised training data to make it more accurate in future simulations. Through verification with verification data, the heating thermal storage simulator learns how it performs under different conditions, thereby improving its predictive ability and predicting the temperature rise under different structures.

[0046] By collecting test data of the integrated heating and thermal storage unit, a collection of sample structure information and heat transfer parameters is formed. These data are then used to train a heating and thermal storage simulator to better predict the heat transfer and temperature rise under different structural conditions, thereby optimizing the heating and thermal storage process.

[0047] Furthermore, the present application also includes:

[0048] According to the multiple structural regions, the structural information is divided to obtain the graphene distribution amount and the phase change material distribution amount in the multiple structural regions; according to the graphene distribution amount and the phase change material distribution amount in the multiple structural regions, the graphene distribution and the phase change material distribution are generated.

[0049] Specifically, the structural information is divided into multiple structural areas, the entire structural space is divided into multiple independent areas, and then the material distribution in each area is analyzed separately for more refined management and analysis. For example, if there is a 100 square centimeter structural space, it can be divided into 10 10 square centimeter areas, and the material distribution in each area may be different.

[0050] Next, in each divided area, the distribution of graphene and phase change material is calculated and obtained. The distribution refers to the proportion of graphene and phase change material in each area. For example, in a certain area, graphene may account for 30% and phase change material may account for 70%, while in another area, graphene may account for 50% and phase change material may account for 50%, which provides a basis for the next step of model construction.

[0051] According to the distribution of graphene and phase change material in multiple structural regions, a material distribution model in the entire structural space is generated, and the distribution data of each region is summarized to form an overall distribution map. For example, if the average distribution of graphene in 10 regions is 40% and the phase change material is 60%.

[0052] By dividing the structural information into multiple regions, then calculating the distribution of graphene and phase change materials in each region, and finally integrating them to generate a distribution model, we can fully understand the material distribution and provide a basis for optimized design.

[0053] Furthermore, the present application also includes:

[0054] Within the heat transfer parameter distribution, randomly select a first heat transfer parameter of a first structural area; within the heat transfer parameter distribution, randomly select several heat transfer parameters, and calculate the mean to obtain a random heat transfer parameter; calculate the deviation amplitude between the first heat transfer parameter and the random heat transfer parameter as a first heat transfer difference value; continue to calculate to obtain multiple heat transfer difference values ​​of multiple structural areas, and obtain a heat transfer difference distribution; according to the graphene distribution and the phase change material distribution, calculate to obtain multiple graphene distribution amount difference values ​​and multiple phase change material distribution amount difference values ​​of the multiple structural areas, and obtain a graphene difference distribution and a phase change material difference distribution.

[0055] Specifically, within the heat transfer parameter distribution, a first heat transfer parameter of a first structural region is randomly selected, that is, a structural region is randomly selected from the entire heat transfer parameter distribution data, and the heat transfer parameter of the region is recorded. For example, assuming that the heat transfer parameter of the first structural region is 5 degrees Celsius per minute, it is used as an indicator of the initial heat transfer performance of the region.

[0056] Next, within the heat transfer parameter distribution, several heat transfer parameters are randomly selected and the average value is calculated to obtain the random heat transfer parameter. The average level of overall heat transfer can be reflected through data from more regions. For example, five structural regions are selected, and the heat transfer parameters are 4 degrees Celsius per minute, 6 degrees Celsius per minute, 5 degrees Celsius per minute, 7 degrees Celsius per minute, and 3 degrees Celsius per minute, with an average of 5 degrees Celsius per minute, as random heat transfer parameters.

[0057] Then, the deviation amplitude of the first heat transfer parameter and the random heat transfer parameter is calculated as the first heat transfer difference value to evaluate the difference between the first structural area and the overall average level. For example, assuming that the first heat transfer parameter is 5 degrees Celsius per minute and the average value of the random heat transfer parameter is also 5 degrees Celsius per minute, the deviation amplitude is 0, and the heat transfer of the first structural area is consistent with the overall performance.

[0058] Next, continue to calculate multiple heat transfer difference values ​​of multiple structural regions to obtain the heat transfer difference distribution, and repeat the calculation of the heat transfer difference values ​​of different regions to obtain the difference distribution of each region in the entire structural space. For example, if the heat transfer parameter of a certain area is 6 degrees Celsius per minute, and the random heat transfer parameter is 5 degrees Celsius per minute, the difference value may be 1 degree Celsius per minute.

[0059] Similar to the calculation of heat transfer difference distribution, the graphene distribution and phase change material distribution are used to calculate the difference value of graphene distribution and the difference value of phase change material distribution in each structural area. For example, a first graphene distribution is randomly selected in the graphene distribution, several graphene distributions are randomly selected to calculate the mean, the deviation amplitude (such as deviation percentage) between the first graphene distribution and the mean is calculated as the first graphene distribution difference value, and multiple graphene distribution difference values ​​are obtained, thereby obtaining the graphene difference distribution. For example, a graphene distribution amount of 40% is randomly selected in a certain area and compared with the mean of graphene distribution amounts in multiple areas. Assuming the mean is 35%, the deviation is 5%, which is the difference value of graphene distribution. The smaller the difference value, the closer to the optimal state. Ideally, the difference value of all areas is 0.

[0060] By randomly selecting and calculating the distribution of heat transfer parameters, graphene and phase change materials in each region and comparing the deviations from the overall mean, the differential distribution of multiple structural regions can be obtained.

[0061] Furthermore, the present application also includes:

[0062] According to the graphene difference distribution and the phase change material difference distribution within the multiple graphene distribution amount difference values ​​and the multiple phase change material distribution amount difference values, a weighted calculation is performed to obtain multiple structure concentration difference values; based on the multiple structure concentration difference values, a structure concentration distribution is constructed.

[0063] Specifically, according to the multiple graphene distribution difference values ​​and multiple phase change material distribution difference values ​​in the graphene difference distribution and the phase change material difference distribution, weighted calculation is performed by the difference value of graphene and phase change material in each structural area, and the difference of graphene and phase change material in each area is combined. For example, if the difference value of graphene in a certain area is 5%, the difference value of phase change material is 3%, and the weight of graphene is 70%, and the weight of phase change material is 30%, then the weighted difference value of the area is 0.7×5%+0.3×3%=4.4%.

[0064] Next, based on the weighted difference values, multiple structure-focused difference values ​​are constructed, that is, the weighted difference values ​​of all regions are integrated to describe the material differences in the entire structural space. For example, assuming that the weighted difference values ​​of 10 structural regions are 3%, 4%, 5%, 2%, 6%, 1%, 3%, 4%, 5%, and 2%, respectively, the centralized distribution model of the entire structure is constructed through the distribution of the difference values ​​to obtain the deviation of the material distribution in different regions from the ideal state.

[0065] By weighted calculation of the difference values ​​of graphene and phase change materials in each structural region, the weighted differences in multiple structural concentrations can be obtained. Then, the difference values ​​are used to construct a centralized distribution model of the overall structural space. The weighted difference values ​​of multiple regions can be used to describe the material distribution of the entire system and provide a basis for optimization.

[0066] Furthermore, the present application also includes:

[0067] According to the structural concentration distribution, the heat transfer difference distribution and the structural cost of the structural information, the structural fitness is calculated as follows: ; Among them, GCM is structural fitness, , and The sum of is 1, which are heat transfer weight, structural weight and cost weight respectively, K is a positive integer, N is the number of multiple structural regions, is the heat transfer difference value of the i-th structural area in the heat transfer difference distribution, is the structural concentration difference value of the i-th structural area in the heat transfer difference distribution, and M is the structural cost; continue to randomly arrange graphene and phase change materials in the structural space, obtain new structural information and calculate the structural fitness until the preset structural optimization times are reached, output the structural information with the maximum structural fitness, and obtain the structural optimization result.

[0068] Specifically, the structural fitness is calculated based on the structural concentration distribution, heat transfer difference distribution and structural cost of the structural information to evaluate the pros and cons of the structural design. For example, if a structure has good heat transfer performance but high cost, its fitness may be low, while a structure with low cost but poor heat transfer will not have high fitness. Therefore, the optimal solution can be found by balancing these factors.

[0069] Next, the GCM in the fitness formula represents the structural fitness, which is determined by the heat transfer weight , structural weight and cost weight The sum of the three weights is 1. Assume that the heat transfer weight is 0.4, the structural weight is 0.3, and the cost weight is 0.3. K is a positive integer, K represents the specific number of samples analyzed, for example, K=10, which means that the fitness of 10 samples is analyzed. N represents the number of multiple structural regions. If N=5, it means that the structural space is divided into 5 structural regions, and the fitness of the 5 structural regions is evaluated respectively.

[0070] is the heat transfer difference value of the i-th structural region in the heat transfer difference distribution. For example, if the heat transfer difference value of the first region is 0.2 and that of the other region is 0.5, it means that the heat transfer in the first region is more uniform. is the structural concentration difference value of the i-th structural area, reflecting the difference in material distribution. For example, the material distribution difference in one structural area is 0.1, and that in another structural area is 0.3, reflecting the uniformity of material distribution in different areas. M is the structural cost, indicating the cost required to build the structure. Assuming that the cost of a certain structure is 1,000 yuan and that of another structure is 800 yuan, the cost comparison is used to determine which design is more economical.

[0071] Continue to randomly arrange graphene and phase change materials in the structural space, and find the optimal structure by constantly adjusting the arrangement of materials. Generate new structural information through random arrangement, and recalculate the structural fitness under each arrangement. Continue to cycle until the preset number of optimizations is reached, such as 100 optimization cycles, and output the arrangement with the highest structural fitness to obtain the final optimized structure.

[0072] By integrating the comprehensive weights of heat transfer performance, material distribution and cost into calculations, and continuously optimizing the structure through random arrangement, we ultimately find the design with the highest adaptability, which not only improves the heat transfer performance but also reduces costs.

[0073] In summary, the structural optimization method of the graphene and phase change material heating and thermal storage integrated unit provided in this application has the following technical effects:

[0074] Structural information is obtained by randomly arranging graphene and phase change materials in a structural space within a heating and heat storage integrated unit, wherein the structural space includes a plurality of structural regions; a heating and heat storage simulation is performed based on the structural information to obtain a heat transfer parameter distribution, and a distribution analysis of graphene and phase change materials is performed based on the structural information to obtain a graphene distribution and a phase change material distribution; a heat transfer difference analysis is performed based on the heat transfer parameter distribution to obtain a heat transfer difference distribution, and a graphene distribution difference analysis and a phase change material distribution difference analysis are performed based on the graphene distribution and the phase change material distribution to obtain a graphene difference distribution and a phase change material difference distribution; a structural concentration analysis is performed based on the graphene difference distribution and the phase change material difference distribution to obtain a structural concentration distribution, and the structural fitness is calculated by combining the heat transfer difference distribution and the structural cost of the structural information, and the structural information is optimized to obtain a structural optimization result, thereby achieving the technical goal of uniform distribution of graphene and phase change materials and achieving the technical effect of improving the heat transfer efficiency of the heating and heat storage integrated unit and extending the service life of the system.

[0075] The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

[0076] Obviously, those skilled in the art can make various changes and modifications to the present application without departing from the spirit and scope of the present application. Thus, if these modifications and variations of the present application fall within the scope of the present application and its equivalent technologies, the present application is also intended to include these modifications and variations.

Claims

1. A method for optimizing the structure of a graphene and phase change material heating and thermal storage integrated unit, characterized in that: Methods include: Randomly arranging graphene and phase change materials in a structural space within the heating and thermal storage integrated unit to obtain structural information, wherein the structural space includes a plurality of structural regions; According to the structural information, a heating and heat storage simulation is performed to obtain a heat transfer parameter distribution, and according to the structural information, a distribution analysis of graphene and phase change material is performed to obtain a graphene distribution and a phase change material distribution; According to the heat transfer parameter distribution, a heat transfer difference analysis is performed to obtain a heat transfer difference distribution; according to the graphene distribution and the phase change material distribution, a graphene distribution difference analysis and a phase change material distribution difference analysis are performed to obtain a graphene difference distribution and a phase change material difference distribution; According to the graphene difference distribution and the phase change material difference distribution, a structure concentration analysis is performed to obtain a structure concentration distribution, and the structure fitness is calculated by combining the heat transfer difference distribution and the structure cost of the structure information, and the structure information is optimized to obtain a structure optimization result; According to the heat transfer parameter distribution, heat transfer difference analysis is performed to obtain heat transfer difference distribution, and according to the graphene distribution and phase change material distribution, graphene distribution difference analysis and phase change material distribution difference analysis are performed, including: Randomly selecting a first heat transfer parameter of a first structural region within the heat transfer parameter distribution; Randomly selecting a number of heat transfer parameters within the heat transfer parameter distribution, and calculating the mean to obtain random heat transfer parameters; calculating a deviation amplitude between the first heat transfer parameter and the random heat transfer parameter as a first heat transfer difference value; Continue to calculate and obtain multiple heat transfer difference values ​​of multiple structural regions to obtain heat transfer difference distribution; According to the graphene distribution and the phase change material distribution, a plurality of graphene distribution amount difference values ​​and a plurality of phase change material distribution amount difference values ​​of the plurality of structural regions are calculated to obtain a graphene difference distribution and a phase change material difference distribution; According to the graphene difference distribution and the phase change material difference distribution, a structure concentration analysis is performed to obtain a structure concentration distribution, including: According to the graphene difference distribution and the phase change material difference distribution, a plurality of graphene distribution amount difference values ​​and a plurality of phase change material distribution amount difference values ​​are weightedly calculated to obtain a plurality of structure concentration difference values; constructing a structure concentration distribution based on the plurality of structure concentration difference values; Combining the heat transfer difference distribution and the structural cost of the structural information, calculating the structural fitness, and optimizing the structural information, including: According to the structural concentration distribution, the heat transfer difference distribution and the structural cost of the structural information, the structural fitness is calculated as follows: ； Among them, GCM is structural fitness, , and The sum of is 1, which are heat transfer weight, structural weight and cost weight respectively, K is a positive integer, K is the specific number of samples analyzed, and the number of samples is used to train the heating thermal storage simulator, N is the number of multiple structural areas, is the heat transfer difference value of the i-th structural area in the heat transfer difference distribution, is the structural concentration difference value of the i-th structural area in the heat transfer difference distribution, and M is the structural cost; Continue to randomly arrange graphene and phase change materials in the structural space, obtain new structural information and calculate structural fitness, until a preset number of structural optimization times is reached, output structural information with the maximum structural fitness, and obtain a structural optimization result.

2. The structural optimization method of the graphene and phase change material heating and thermal storage integrated unit according to claim 1 is characterized in that: In the structural space of the heating and thermal storage integrated unit, graphene and phase change materials are randomly arranged to obtain structural information, including: Acquire a space for arranging graphene and phase change materials in the heating and thermal storage integrated unit as a structural space; In the structural space, graphene and phase change material are randomly arranged to obtain structural information.

3. The structural optimization method of the graphene and phase change material heating and thermal storage integrated unit according to claim 1, characterized in that: According to the structural information, a heating and heat storage simulation is performed to obtain the heat transfer parameter distribution, including: Pre-trained heating thermal storage simulator; The heating thermal storage simulator is used to perform a heating thermal storage simulation under preset thermal storage conditions to obtain a heat transfer parameter distribution, wherein the heat transfer parameter distribution includes heat transfer parameters in the multiple structural areas.

4. The structural optimization method of the graphene and phase change material heating and thermal storage integrated unit according to claim 3 is characterized in that: Pre-trained Heating Thermal Storage Simulator, including: According to the heating and heat storage test data of the heating and heat storage integrated unit, a sample structure information set is collected, and the temperature rise parameter distribution during heating and heat storage under preset heat storage conditions under different sample structure information is collected to obtain a sample heat transfer parameter distribution set, wherein each sample heat transfer parameter distribution includes temperature rise parameters of multiple structural areas in the structural space; The sample structure information set and the sample heat transfer parameter distribution set are used as supervised training data and verification data to train and verify the heating thermal storage simulator.

5. The structural optimization method of the graphene and phase change material heating and thermal storage integrated unit according to claim 1, characterized in that: According to the structural information, the distribution of graphene and phase change material is analyzed to obtain the distribution of graphene and the distribution of phase change material, including: Dividing the structural information according to the multiple structural regions to obtain graphene distribution amounts and phase change material distribution amounts in the multiple structural regions; According to the graphene distribution amounts and the phase change material distribution amounts in the plurality of structural regions, the graphene distribution and the phase change material distribution are generated.

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