Air duct optimization method and device for heat and mass transfer core

Abstract

The invention relates to the technical field of fresh air heat recovery, in particular to an air duct optimization method and device for a heat and mass transfer core. The method is based on CFD simulation software and comprises the following steps: acquiring input parameters of a heat and mass transfer core to be optimized; inputting the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters so as to obtain the number of air ducts with the highest total heat exchange efficiency; re-determining the input parameters of a new round by taking the distance between the air ducts as an independent variable so as to further determine the total heat exchange efficiency of the new round; and after iteration is carried out for preset times or the optimal solution, air duct spacing distribution with the highest total heat exchange efficiency is obtained. According to the technical scheme, the performance evaluation cost of the heat and mass transfer core can be reduced.

Description

Technical Field

[0001] The present invention relates to the technical field of fresh air heat recovery, and in particular to an air duct optimization method and device for a heat and mass transfer core. Background Art

[0002] The heat and mass transfer core is a key component used in efficient fresh air heat recovery systems. It is mainly used to recover heat and humidity from exhaust air in ventilation systems to improve energy efficiency. The working principle of the heat and mass transfer core is based on the heat and mass exchange between two independent airflows, usually one airflow is the exhaust air in the room and the other airflow is the fresh air outside. Compared with the sensible heat exchange core, the heat and mass transfer core can realize the recovery and utilization of the overall energy in the air, that is, enthalpy. Through the efficient heat and mass exchange process, the heat and mass transfer core can significantly reduce the heating and cooling load of the building, thereby reducing energy consumption and operating costs.

[0003] Total heat exchange efficiency is a key parameter to measure the performance of heat and mass transfer cores. Total heat exchange efficiency is a comprehensive indicator of sensible heat exchange efficiency and latent heat exchange efficiency, indicating the total energy recovery efficiency. In related technologies, total heat exchange efficiency is mainly obtained through experimental measurement methods to evaluate the overall performance of heat and mass transfer cores. The experimental method has high accuracy and can directly reflect the performance level of heat and mass transfer cores, but the implementation cost is high, and the results of a single experiment are only valid for a single-layer structure or working condition, which has certain limitations.

[0004] Therefore, there is an urgent need to provide a method and device for optimizing the air duct of a heat and mass transfer core to solve the above technical problems. Summary of the invention

[0005] The embodiments of the present invention provide a method and device for optimizing the air duct of a heat and mass transfer core, which can reduce the performance evaluation cost of the heat and mass transfer core.

[0006] In a first aspect, an embodiment of the present invention provides a method for optimizing an air duct of a heat and mass transfer core based on CFD simulation software, comprising:

[0007] Obtaining input parameters of the heat and mass transfer core to be optimized;

[0008] Inputting the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters, so as to obtain the number of air ducts with the highest total heat exchange efficiency;

[0009] Taking the distance between each air duct as the independent variable, the input parameters of a new round are re-determined to further determine the total heat exchange efficiency of a new round;

[0010] After a preset number of iterations or an optimal solution is obtained, the air duct spacing distribution with the highest total heat exchange efficiency is obtained.

[0011] In a second aspect, an embodiment of the present invention further provides an air duct optimization device for a heat and mass transfer core, based on CFD simulation software, comprising:

[0012] An acquisition module, used for acquiring input parameters of the heat and mass transfer core to be optimized;

[0013] An input module, used for inputting the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters, so as to obtain the number of air ducts with the highest total heat exchange efficiency;

[0014] An iteration module is used to re-determine a new round of input parameters by taking the spacing of each air duct as an independent variable, so as to further determine a new round of total heat exchange efficiency;

[0015] The output module is used to obtain the air duct spacing distribution with the highest total heat exchange efficiency after iterating a preset number of times or obtaining the optimal solution.

[0016] The embodiment of the present invention provides a method and device for optimizing the air duct of a heat and mass transfer core. By establishing a heat and mass transfer core performance prediction simulation program based on CFD technology, the total heat exchange efficiency of the heat and mass transfer core under the cold recovery condition and the heat recovery condition can be quickly and accurately obtained, and the number of air ducts and the air duct spacing distribution corresponding to the highest total heat exchange efficiency can be obtained. Therefore, the above technical solution can reduce the performance evaluation cost of the heat and mass transfer core. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or related technologies, the drawings required for use in the embodiments or related technical descriptions are 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.

[0018] Figure 1 is a flow chart of a method for optimizing an air duct of a heat and mass transfer core provided by an embodiment of the present invention;

[0019] Figure 2 It is a hardware architecture diagram of an electronic device in which the air duct optimization device for the heat and mass transfer core provided by an embodiment of the present invention is located;

[0020] Figure 3 is a structural diagram of an air duct optimization device for a heat and mass transfer core provided in an embodiment of the present invention;

[0021] Figure 4 is a schematic diagram of the heat transfer and mass transfer process at the membrane interface provided by an embodiment of the present invention;

[0022] Figure 5Schematic diagram of the structure of the air duct of the heat and mass transfer core provided by an embodiment of the present invention;

[0023] Figure 6 It is a schematic diagram of the optimal structure of the air duct of the heat and mass transfer core provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0024] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments in the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work are within the scope of protection of the present invention.

[0025] Please refer to Figure 1 The embodiment of the present invention provides a method for optimizing the air duct of a heat and mass transfer core, the method comprising:

[0026] Step 100, obtaining input parameters of the heat and mass transfer core to be optimized;

[0027] Step 102: input the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters, so as to obtain the number of air ducts with the highest total heat exchange efficiency;

[0028] Step 104: using the distance between each air duct as an independent variable, re-determine a new round of input parameters to further determine a new round of total heat exchange efficiency;

[0029] Step 106: After a preset number of iterations or after obtaining an optimal solution, obtain the air duct spacing distribution with the highest total heat exchange efficiency.

[0030] In this embodiment, by establishing a heat and mass transfer core performance prediction simulation program based on CFD technology, the total heat exchange efficiency of the heat and mass transfer core under the cold recovery condition and the heat recovery condition, and the number of air ducts and the air duct spacing distribution corresponding to the highest total heat exchange efficiency can be quickly and accurately obtained. Therefore, the above technical solution can reduce the performance evaluation cost of the heat and mass transfer core.

[0031] In one embodiment of the present invention, the heat and mass transfer core includes a plurality of core units stacked in the same direction, each core unit includes two single-layer structures arranged in countercurrent and a heat and mass exchange membrane arranged between the two single-layer structures, each single-layer structure includes a frame and a plurality of dividing ribs arranged in the frame, and a plurality of air ducts are formed between the frame and the dividing ribs and between two adjacent dividing ribs.

[0032] In one embodiment of the present invention, the input parameters include the length of the single-layer structure along the air inlet direction, the width of the single-layer structure perpendicular to the air inlet direction, the thickness of the single-layer structure, grid nodes, boundary conditions of the single-layer structure, physical parameters, initial environment, calculation parameters and boundary conditions of the heat and mass exchange membrane.

[0033] In one embodiment of the present invention, the boundary conditions of the single-layer structure are: the upper surface and the lower surface of the single-layer structure are symmetrical boundaries, the intersection of two adjacent single-layer structures is the heat and mass exchange membrane interface, the fresh air inlet and the return air inlet are the velocity inlet boundaries, the supply air outlet and the exhaust air outlet are the pressure outlet boundaries, and the remaining boundaries are wall surfaces;

[0034] The physical parameters are: density, thermal conductivity, specific heat, humidity and water vapor diffusion coefficient of the air on the fresh air side and the return air side, thickness, density, thermal conductivity and water vapor diffusion coefficient of the heat and mass exchange membrane material;

[0035] The initial environment is: the dry-bulb temperature and wet-bulb temperature of the fresh air inlet and the return air inlet under the cooling recovery condition and the heat recovery condition, and the rated values ​​of the supply air volume and the exhaust air volume;

[0036] The calculation parameters are: discretization format, matrix solution method and convergence residual; for example, the discretization format is set to Gaussian linear discretization, the preconditioned conjugate gradient method is used to solve large sparse matrices, and the convergence residual of physical fields such as temperature and water vapor concentration is 10 -5 ;

[0037] The boundary conditions of the heat and mass exchange membrane are: the heat transfer equation and the mass transfer equation at the interface.

[0038] Based on the open source simulation platform OpenFOAM, the interface boundary conditions and heat transfer resistance R at the interface position are established to characterize the polymer membrane. heat =δ M / λ M , mass transfer resistance R mass =δ M / (ρ M D M ), where the subscript M represents the film, δ is the thickness (μm), ρ is the density (kg·m-3), λ and D represent the thermal conductivity (W·m -1 ·K -1 ) and water vapor diffusion coefficient (m 2 ·s -1 ), the heat and mass transfer processes at the interface are as follows Figure 4 As shown, the heat transfer and mass transfer equations at the interface are as follows, where subscripts O and R represent fresh air and return air respectively, and subscript A represents air. The temperature T and water vapor concentration Y on both sides of the interface can be obtained by iteratively solving the two equations;

[0039] Interface heat transfer equation:

[0040] Interfacial mass transfer equation:

[0041] Execute the equation program, and after the calculation converges, calculate the total heat exchange efficiency η according to the following formula, where h is the air enthalpy value, and the subscript S represents the air supply outlet;

[0042]

[0043] In the basic example, the number of air ducts is gradually increased, and the air duct forms are as follows Figure 5 As shown, the width of the air duct dividing rib is t, the fillet radius connecting the inlet and outlet sections of the air duct and the counterflow section is r, multiple rounds of input parameters are designed, and the number of air ducts with the highest total heat exchange efficiency n is obtained through repeated simulation calculations. The corresponding total heat exchange efficiency of the cooling recovery condition is η c,0 , the total heat exchange efficiency of heat recovery condition is η h,0 .

[0044] In one embodiment of the present invention, the number of air ducts with the highest total heat exchange efficiency is eleven, and the air duct spacing distribution with the highest total heat exchange efficiency is gradually distributed;

[0045] The air duct with the largest spacing is the air duct that the outdoor fresh air first contacts when entering the heat and mass transfer core, and the air duct with the smallest spacing is the air duct that the outdoor fresh air last leaves when discharging from the heat and mass transfer core. The gradual change rule from the air duct with the largest spacing to the air duct with the smallest spacing is that the spacing gradually decreases, and the reduction ratio gradually increases.

[0046] Specifically, the design variable is defined as the spacing dn between adjacent ducts, where the subscript n represents the duct number and the initial value of the spacing is dn = [Wt(n-1)] / n. In this example, there are a total of n design variables. The constraint condition is defined as Σ n d n +(n-1)t=W, the structure of the fresh air side and the return air side is the same; the optimization target is determined to be the total heat exchange efficiency η under the cooling recovery condition c , and the total heat exchange efficiency η under heat recovery conditions h , the initial value of the optimization target is η c,0 and η h,0 ; Taking the distance between each air duct as the independent variable, re-determine the input parameters of the new round to further determine the total heat exchange efficiency η of the new round c and η h ,After iterating a preset number of times or obtaining the optimal solution, the duct spacing distribution with the highest total heat exchange efficiency is obtained through simulation.

[0047] against Figure 5The structure shown in the figure is optimized for a specific case, where the length of the single-layer structure along the air inlet direction is L = 366 mm, the width of the single-layer structure perpendicular to the air inlet direction is W = 366 mm, the thickness of the single-layer structure is H = 1.25 mm, the width of the duct dividing rib is t = 2.2 mm, and the fillet radius connecting the inlet and outlet sections of the duct and the counterflow section is r = 30 mm. When there is no duct structure in the core, the total heat exchange efficiency under the cold recovery condition and the heat recovery condition is η respectively obtained through simulation. c =64.23% and η h =72.05%; through step 102 of the solution of the present invention, the optimal number of air ducts n=11 is obtained. When the air ducts are equally spaced, η c =66.09%, η h =77.48%; Through the optimization design of steps 104 and 106 in this scheme, the air duct spacing distribution is obtained as shown in Table 1, and the structure is as shown in Figure 6 As shown in the figure, after optimization, the flow rate, temperature and humidity between adjacent air ducts in the core change more smoothly, close to linear distribution, and the total heat exchange efficiency is improved, which are η c =68.88% and η h =79.45%.

[0048] Table 1 Design scheme of air duct spacing of heat and mass transfer core

[0049] Air duct number Air duct width (mm) 1 20.26 2 26.34 3 28.97 4 30.42 5 31.94 6 33.54 7 35.22 8 36.98 9 38.82 10 40.77 11 42.80

[0050] Total heat exchange efficiency and resistance are two key indicators to measure the performance of heat and mass transfer cores. Generally speaking, there is a trade-off between these two parameters, that is, the improvement of total heat exchange efficiency is often accompanied by an increase in resistance. This is because in the process of improving total heat exchange efficiency, it is necessary to increase the path length and complexity of air flowing through the heat and mass transfer core, which will increase the resistance of air flow.

[0051] In order to solve this technical problem, the spacing of the air ducts is designed to be gradually distributed, that is, the gradual rule from the duct with the largest spacing to the duct with the smallest spacing is that the spacing gradually decreases, and the reduction ratio gradually increases. This can reduce the air flow rate, temperature and humidity differences in adjacent air ducts, and enhance the uniformity of the flow field, temperature field and water vapor concentration field in adjacent air ducts, thereby achieving efficient and low-resistance heat and mass exchange, and a balance between full heat exchange efficiency and resistance, ultimately forming a new duct structure for heat and mass transfer core that takes into account both performance and energy consumption.

[0052] After installation test, for the core of the same size and using the same polymer heat transfer and moisture permeable membrane, the air duct arrangement of the present invention is compared with the arrangement of equidistant air ducts at 200m. 3 / h air volume, the total heat exchange efficiency is similar, and the resistance is reduced by about 16%. Therefore, the above technical solution achieves a balance between performance and energy consumption, improves the overall performance level of the heat and mass transfer core, reduces energy consumption and operating costs, and has a good energy-saving and environmental protection effect.

[0053] In summary, the present invention proposes a method for predicting the performance of a heat and mass transfer core and designing an air duct structure based on computational fluid dynamics (CFD) simulation, which can achieve high-precision prediction of the total heat exchange efficiency of the core, reveal the core factors affecting the comprehensive performance of the heat and mass transfer core, and form an optimal air duct structure that takes into account both the energy consumption and performance of the core, thereby providing a theoretical basis and data reference for the design of the heat and mass transfer core, improving the total heat exchange efficiency of the heat and mass transfer core, and achieving energy saving and consumption reduction.

[0054] like Figure 2 , Figure 3 As shown, an embodiment of the present invention provides an air duct optimization device for a heat and mass transfer core. The device embodiment can be implemented by software, or by hardware or a combination of software and hardware. From the hardware level, Figure 2 As shown, it is a hardware architecture diagram of an electronic device in which an air duct optimization device for a heat and mass transfer core provided by an embodiment of the present invention is located. Figure 2 In addition to the processor, memory, network interface, and non-volatile memory shown, the electronic device in the embodiment may also include other hardware, such as a forwarding chip responsible for processing messages, etc. Taking software implementation as an example, Figure 3 As shown, as a device in a logical sense, the CPU of the electronic device in which it is located reads the corresponding computer program in the non-volatile memory into the internal memory and runs it.

[0055] like Figure 3 As shown, the present invention provides an air duct optimization device for a heat and mass transfer core, comprising:

[0056] An acquisition module 300 is used to acquire input parameters of the heat and mass transfer core to be optimized;

[0057] An input module 302 is used to input the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters, so as to obtain the number of air ducts with the highest total heat exchange efficiency;

[0058] Iteration module 304, used to re-determine a new round of input parameters with the spacing between each air duct as an independent variable, so as to further determine a new round of total heat exchange efficiency;

[0059] The output module 306 is used to obtain the air duct spacing distribution with the highest total heat exchange efficiency after iterating a preset number of times or obtaining the optimal solution.

[0060] In an embodiment of the present invention, the acquisition module 300 can be used to execute step 100 in the above method embodiment, the input module 302 can be used to execute step 102 in the above method embodiment, the iteration module 304 can be used to execute step 104 in the above method embodiment, and the output module 306 can be used to execute step 106 in the above method embodiment.

[0061] In one embodiment of the present invention, the heat and mass transfer core includes a plurality of core units stacked in the same direction, each of the core units includes two countercurrently arranged single-layer structures and a heat and mass exchange membrane arranged between the two single-layer structures, each of the single-layer structures includes a frame and a plurality of dividing ribs arranged in the frame, and a plurality of air ducts are formed between the frame and the dividing ribs and between two adjacent dividing ribs.

[0062] In one embodiment of the present invention, the input parameters include the length of the single-layer structure along the air inlet direction, the width of the single-layer structure perpendicular to the air inlet direction, the thickness of the single-layer structure, grid nodes, boundary conditions of the single-layer structure, physical parameters, initial environment, calculation parameters and boundary conditions of the heat and mass exchange membrane.

[0063] In one embodiment of the present invention, the boundary conditions of the single-layer structure are: the upper surface and the lower surface of the single-layer structure are symmetrical boundaries, the intersection of two adjacent single-layer structures is the heat and mass exchange membrane interface, the fresh air inlet and the return air inlet are the velocity inlet boundaries, the supply air outlet and the exhaust air outlet are the pressure outlet boundaries, and the remaining boundaries are wall surfaces;

[0064] The physical parameters are: density, thermal conductivity, specific heat, humidity and water vapor diffusion coefficient of the air on the fresh air side and the return air side, thickness, density, thermal conductivity and water vapor diffusion coefficient of the heat and mass exchange membrane material;

[0065] The initial environment is: the dry-bulb temperature and wet-bulb temperature of the fresh air inlet and the return air inlet under the cooling recovery condition and the heat recovery condition, and the rated values ​​of the supply air volume and the exhaust air volume;

[0066] The computational parameters are: discretization format, matrix solution method, and convergence residual;

[0067] The boundary conditions of the heat and mass exchange membrane are: the heat transfer equation and the mass transfer equation at the interface.

[0068] In one embodiment of the present invention, the number of air ducts with the highest total heat exchange efficiency is eleven, and the air duct spacing distribution with the highest total heat exchange efficiency is gradually distributed;

[0069] The air duct with the largest spacing is the air duct that the outdoor fresh air first contacts when entering the heat and mass transfer core, and the air duct with the smallest spacing is the air duct that the outdoor fresh air last leaves when discharging the heat and mass transfer core. The gradual change rule from the air duct with the largest spacing to the air duct with the smallest spacing is that the spacing gradually decreases, and the reduction ratio gradually increases.

[0070] It is to be understood that the structure illustrated in the embodiment of the present invention does not constitute a specific limitation on the air duct optimization device of a heat and mass transfer core. In other embodiments of the present invention, an air duct optimization device of a heat and mass transfer core may include more or fewer components than shown in the figure, or combine some components, or separate some components, or arrange the components differently. The components shown in the figure may be implemented in hardware, software, or a combination of software and hardware.

[0071] The information interaction, execution process and other contents between the modules in the above-mentioned device are based on the same concept as the embodiment of the method of the present invention. For the specific contents, please refer to the description in the embodiment of the method of the present invention, and no further description is given here.

[0072] An embodiment of the present invention further provides an electronic device, including a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, a method for optimizing an air duct of a heat and mass transfer core in any embodiment of the present invention is implemented.

[0073] An embodiment of the present invention further provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the processor executes a method for optimizing an air duct of a heat and mass transfer core in any embodiment of the present invention.

[0074] Specifically, a system or device equipped with a storage medium can be provided, on which software program code that implements the functions of any of the above-mentioned embodiments is stored, and a computer (or CPU or MPU) of the system or device can be enabled to read and execute the program code stored in the storage medium.

[0075] In this case, the program code itself read from the storage medium can realize the function of any one of the above-mentioned embodiments, and thus the program code and the storage medium storing the program code constitute a part of the present invention.

[0076] The storage medium embodiments for providing the program code include a floppy disk, a hard disk, a magneto-optical disk, an optical disk (such as CD-ROM, CD-R, CD-RW, DVD-ROM, DVD-RAM, DVD-RW, DVD+RW), a magnetic tape, a non-volatile memory card, and a ROM. Alternatively, the program code can be downloaded from a server computer by a communication network.

[0077] In addition, it should be clear that the functions of any of the above embodiments can be implemented not only by executing the program code read by the computer, but also by enabling an operating system operating on the computer to complete part or all of the actual operations based on instructions from the program code.

[0078] In addition, it can be understood that the program code read from the storage medium is written to a memory provided in an expansion board inserted into the computer or to a memory provided in an expansion module connected to the computer, and then based on the instructions of the program code, a CPU installed on the expansion board or expansion module is enabled to perform part or all of the actual operations, thereby realizing the functions of any of the above-mentioned embodiments.

[0079] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "comprise a ..." do not exclude the presence of other identical factors in the process, method, article or device including the elements.

[0080] A person of ordinary skill in the art can understand that all or part of the steps of implementing the above method embodiments can be completed by hardware related to program instructions, and the aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps of the above method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk, etc., various media that can store program codes.

[0081] 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 optimizing the air duct of a heat and mass transfer core, characterized in that: Based on CFD simulation software, including: Obtaining input parameters of the heat and mass transfer core to be optimized; Inputting the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters, so as to obtain the number of air ducts with the highest total heat exchange efficiency; Taking the distance between each air duct as the independent variable, the input parameters of a new round are re-determined to further determine the total heat exchange efficiency of a new round; After a preset number of iterations or an optimal solution is obtained, the air duct spacing distribution with the highest total heat exchange efficiency is obtained.

2. The method according to claim 1, characterized in that The heat and mass transfer core includes a plurality of core units stacked in the same direction, each of the core units includes two countercurrently arranged single-layer structures and a heat and mass exchange membrane arranged between the two single-layer structures, each of the single-layer structures includes a frame and a plurality of dividing ribs arranged in the frame, and a plurality of air ducts are formed between the frame and the dividing ribs and between two adjacent dividing ribs.

3. The method according to claim 2, characterized in that The input parameters include the length of the single-layer structure along the air inlet direction, the width of the single-layer structure perpendicular to the air inlet direction, the thickness of the single-layer structure, grid nodes, boundary conditions of the single-layer structure, physical parameters, initial environment, calculation parameters and boundary conditions of the heat and mass exchange membrane.

4. The method according to claim 3, characterized in that The boundary conditions of the single-layer structure are as follows: the upper and lower surfaces of the single-layer structure are symmetrical boundaries, the intersection of two adjacent single-layer structures is the heat and mass exchange membrane interface, the fresh air inlet and the return air inlet are the velocity inlet boundaries, the supply air outlet and the exhaust air outlet are the pressure outlet boundaries, and the remaining boundaries are walls; The physical parameters are: density, thermal conductivity, specific heat, humidity and water vapor diffusion coefficient of the air on the fresh air side and the return air side, thickness, density, thermal conductivity and water vapor diffusion coefficient of the heat and mass exchange membrane material; The initial environment is: the dry-bulb temperature and wet-bulb temperature of the fresh air inlet and the return air inlet under the cooling recovery condition and the heat recovery condition, and the rated values ​​of the supply air volume and the exhaust air volume; The computational parameters are: discretization format, matrix solution method, and convergence residual; The boundary conditions of the heat and mass exchange membrane are: the heat transfer equation and the mass transfer equation at the interface.

5. The method according to claim 4, characterized in that The number of air ducts with the highest total heat exchange efficiency is eleven, and the air duct spacing distribution with the highest total heat exchange efficiency is gradually distributed; The air duct with the largest spacing is the air duct that the outdoor fresh air first contacts when entering the heat and mass transfer core, and the air duct with the smallest spacing is the air duct that the outdoor fresh air last leaves when discharging the heat and mass transfer core. The gradual change rule from the air duct with the largest spacing to the air duct with the smallest spacing is that the spacing gradually decreases, and the reduction ratio gradually increases.

6. An air duct optimization device for a heat and mass transfer core, characterized in that: Based on CFD simulation software, including: An acquisition module, used for acquiring input parameters of the heat and mass transfer core to be optimized; An input module, used for inputting the input parameters into the CFD simulation software to obtain the total heat exchange efficiency corresponding to the input parameters, so as to obtain the number of air ducts with the highest total heat exchange efficiency; An iteration module is used to re-determine a new round of input parameters by taking the spacing of each air duct as an independent variable, so as to further determine a new round of total heat exchange efficiency; The output module is used to obtain the air duct spacing distribution with the highest total heat exchange efficiency after iterating a preset number of times or obtaining the optimal solution.

7. The device according to claim 6, characterized in that The heat and mass transfer core includes a plurality of core units stacked in the same direction, each of the core units includes two countercurrently arranged single-layer structures and a heat and mass exchange membrane arranged between the two single-layer structures, each of the single-layer structures includes a frame and a plurality of dividing ribs arranged in the frame, and a plurality of air ducts are formed between the frame and the dividing ribs and between two adjacent dividing ribs.

8. The device according to claim 7, characterized in that The input parameters include the length of the single-layer structure along the air inlet direction, the width of the single-layer structure perpendicular to the air inlet direction, the thickness of the single-layer structure, grid nodes, boundary conditions of the single-layer structure, physical parameters, initial environment, calculation parameters and boundary conditions of the heat and mass exchange membrane.

9. The device according to claim 8, characterized in that The boundary conditions of the single-layer structure are as follows: the upper and lower surfaces of the single-layer structure are symmetrical boundaries, the intersection of two adjacent single-layer structures is the heat and mass exchange membrane interface, the fresh air inlet and the return air inlet are the velocity inlet boundaries, the supply air outlet and the exhaust air outlet are the pressure outlet boundaries, and the remaining boundaries are walls; The physical parameters are: density, thermal conductivity, specific heat, humidity and water vapor diffusion coefficient of the air on the fresh air side and the return air side, thickness, density, thermal conductivity and water vapor diffusion coefficient of the heat and mass exchange membrane material; The initial environment is: the dry-bulb temperature and wet-bulb temperature of the fresh air inlet and the return air inlet under the cooling recovery condition and the heat recovery condition, and the rated values ​​of the supply air volume and the exhaust air volume; The computational parameters are: discretization format, matrix solution method, and convergence residual; The boundary conditions of the heat and mass exchange membrane are: the heat transfer equation and the mass transfer equation at the interface.

10. The method according to claim 9, characterized in that The number of air ducts with the highest total heat exchange efficiency is eleven, and the air duct spacing distribution with the highest total heat exchange efficiency is gradually distributed; The air duct with the largest spacing is the air duct that the outdoor fresh air first contacts when entering the heat and mass transfer core, and the air duct with the smallest spacing is the air duct that the outdoor fresh air last leaves when discharging the heat and mass transfer core. The gradual change rule from the air duct with the largest spacing to the air duct with the smallest spacing is that the spacing gradually decreases, and the reduction ratio gradually increases.

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