Optimization design method and device for variable pipe diameter of condenser

Abstract

The invention relates to the technical field of shell-and-tube condenser design, in particular to a variable-tube-diameter optimization design method and device.The method comprises the steps that on the basis of heat exchange tube design parameters given by a user, two-dimensional or quasi-three-dimensional CFD calculation is carried out on a target condenser, so that the cross section heat transfer amount and cooling water temperature distribution conditions of the target condenser are obtained, and the heat exchange tube design parameters are obtained; dividing the tube bundle into a plurality of tube groups according to the heat transfer capacity, calculating the proportion of the heat transfer capacity of each tube group to the total heat transfer capacity, adjusting the tube diameter of at least one tube group according to the matching principle of the heat transfer capacity and the cooling water quantity, generating new tube diameter distribution, and calculating the cooling water flow and the tube group temperature boundary condition so as to perform CFD calculation again. And generating a final pipe diameter arrangement scheme until a preset optimization iteration stop condition is met. Therefore, the problems that a'dead zone 'easily occurs at the cooling water outlet end and the heat transfer efficiency is reduced due to uneven heat flow density of the condenser in the related technology, and the local heat exchange capacity cannot be effectively improved through a traditional single-pipe-diameter design thought are solved.

Description

Technical Field

[0001] The present application relates to the technical field of shell-and-tube condenser design, and particularly relates to an optimized design method and device for variable tube diameters of a condenser. Background Art

[0002] Shell-and-tube condensers are widely used in thermal power plants and marine power plants. The design of the tube bundle affects their heat transfer efficiency, and the tube diameter is a key variable. In related technologies, some designs optimize the tube diameter by changing the tube bundle arrangement or the tube diameter, such as changing the tube diameter according to the medium flow direction or setting the tube diameter in sections according to the medium characteristics.

[0003] However, in related technologies, uneven heat flux density in the condenser easily causes "dead zones" at the cooling water outlet end and a decrease in heat transfer efficiency. Moreover, most condenser designs use a single tube diameter for all heat exchange tubes, and it is impossible to increase the heat transfer amount without increasing the number of heat exchange tubes, making it difficult to effectively improve the local heat transfer capacity, and there is an urgent need for improvement. Summary of the Invention

[0004] The present application provides an optimized design method and device for variable tube diameters of a condenser to solve the problems in related technologies, such as uneven heat flux density in the condenser easily causing "dead zones" at the cooling water outlet end and a decrease in heat transfer efficiency, and the traditional single-tube-diameter design idea being unable to effectively improve the local heat transfer capacity.

[0005] The first aspect embodiment of the present application provides an optimized design method for variable tube diameters of a condenser, including the following steps: based on the design parameters of the heat exchange tubes of the user, performing two-dimensional or quasi-three-dimensional CFD calculations on the target condenser to obtain the heat transfer distribution and the cooling water temperature distribution on the cross-section of the target condenser; dividing the tube bundle into multiple tube groups with heat transfer decreasing from high to low according to the heat transfer distribution to calculate the proportion of the heat transfer of each tube group in the total heat transfer of the entire tube bundle area; adjusting the tube diameter of at least one tube group according to the principle of matching the heat transfer of each tube group with the cooling water volume, generating a new tube diameter distribution and calculating the cooling water flow rate and the tube group temperature boundary conditions to re-perform CFD calculations until the preset optimization iteration stop condition is reached, and generating the final tube diameter arrangement plan.

[0006] Through the above technical solutions, the embodiments of the present application can accurately understand the heat transfer and the cooling water temperature distribution on the cross-section of the condenser through two-dimensional or quasi-three-dimensional CFD calculations, providing accurate data support for optimization and overcoming the limitations of traditional designs. Scientifically dividing the tube bundle into tube groups according to the heat transfer and quantifying the proportion provides a precise target for tube diameter adjustment, realizing precise allocation of cooling resources. Dynamically optimizing the tube diameter, flow rate, and temperature boundary conditions according to the principle of matching the heat transfer with the cooling water volume, approaching the optimum through iteration, avoiding local overheating or insufficient cooling, and improving the overall heat transfer efficiency.

[0007] Optionally, in an embodiment of the present application, the preset optimization iteration stop condition includes a preset number of iterations and / or a preset condenser performance improvement.

[0008] Through the above technical solution, the embodiment of the present application can effectively avoid invalid repeated calculations, save computing resources and time, and at the same time ensure that the optimization process is terminated in time after the performance improvement meets the design requirements, thereby improving the efficiency and reliability of condenser design.

[0009] Optionally, in an embodiment of the present application, the two-dimensional or quasi-three-dimensional CFD calculation of the shell-side flow field of the target condenser includes: using a pipeline hydraulic resistance model established based on the principle of equal pressure difference at the inlet and outlet of the cooling water pipe group to calculate the cooling water flow rate in different pipe diameters for the cooling water flow rate distribution on the tube side of the target condenser.

[0010] Through the above technical solution, the embodiment of the present application can accurately calculate the spatial distribution difference of the cooling water flow rate in the tube bundle with variable pipe diameters, providing a calculation basis for the heat transfer capacity of different pipe diameter regions in the CFD model of the variable pipe diameter condenser.

[0011] Optionally, in an embodiment of the present application, the calculation formula for the cooling water flow rate is:

[0012]

[0013] where i is the i-th pipeline, K i is the pipeline flow modulus, Q is the total flow rate, and l i is the pipeline length.

[0014] Through the above technical solution, the embodiment of the present application can accurately calculate the cooling water flow rate in different heat exchange tubes through the relationship between the flow modulus and the total flow rate, so as to obtain more accurate temperature boundary conditions in the CFD calculation.

[0015] Optionally, in an embodiment of the present application, the calculation formula for the pipe diameter is:

[0016]

[0017] where z represents the optimized area, t represents the current iteration, t + 1 represents the next iteration, the average heat flux density of the pipe group area, and d z,t represents the pipe diameter.

[0018] Through the above technical solution, the embodiment of the present application can calculate the proportion of the average heat flux density of each tube group area to the total heat flux density, dynamically adjust the pipe diameter distribution, and make the cooling water flow rate match the local heat transfer amount. This method can effectively improve the heat transfer efficiency of the condenser, avoid the phenomenon of "heat transfer dead zone" caused by unreasonable pipe diameter design, and thus achieve a more refined tube bundle layout in the optimization design process, improving the overall operation performance and energy efficiency.

[0019] The embodiment of the second aspect of the present application provides a condenser variable pipe diameter optimization design device, including: a calculation module, configured to perform two-dimensional or quasi-three-dimensional CFD calculation on the shell-side flow field of the target condenser based on the heat exchange tube design parameters of the user, so as to obtain the heat transfer distribution and cooling water temperature distribution on the cross-section of the target condenser; a division module, configured to divide the tube bundle into multiple tube groups with decreasing heat transfer according to the heat transfer distribution, so as to calculate the proportion of the heat transfer of each tube group in the total heat transfer of the entire tube bundle area; an optimization module, configured to adjust the pipe diameter of at least one tube group according to the principle of matching the heat transfer of each tube group with the cooling water flow rate, generate a new pipe diameter distribution, and calculate the cooling water flow rate and the tube group temperature boundary conditions, so as to perform CFD calculation again until a preset optimization iteration stop condition is reached, and generate a final pipe diameter layout plan.

[0020] Through the above technical solution, the embodiment of the present application can accurately understand the heat transfer of the condenser cross-section and the cooling water temperature distribution through two-dimensional or quasi-three-dimensional CFD calculation, providing accurate data support for optimization and overcoming the limitations of traditional design. The tube bundle is scientifically divided into tube groups according to the heat transfer and the proportion is quantified, anchoring a precise target for pipe diameter adjustment and realizing precise allocation of cooling resources. Dynamically optimize the pipe diameter, flow rate and temperature boundary conditions according to the principle of matching heat transfer with cooling water flow rate, approach the optimum through iteration, avoid local overheating or insufficient cooling, and improve the overall heat transfer efficiency.

[0021] Optionally, in an embodiment of the present application, the preset optimization iteration stop condition includes a preset number of iterations and / or a preset condenser performance improvement.

[0022] Through the above technical solution, the embodiment of the present application can effectively avoid invalid repeated calculations, save computing resources and time through clear stop conditions, and at the same time ensure that the optimization process is terminated in time after the performance improvement meeting the design requirements is achieved, thereby improving the efficiency and reliability of condenser design.

[0023] Optionally, in an embodiment of the present application, the calculation module includes: calculating the cooling water flow rate in different pipe diameters by using a pipeline hydraulic resistance model established based on the principle of equal pressure difference between the inlet and outlet of the cooling water pipe group for the condensate water flow rate distribution on the tube side of the target condenser.

[0024] Through the above technical solution, the embodiments of the present application can accurately calculate the spatial distribution difference of the cooling water flow rate in the tube bundle with variable tube diameters, providing a calculation basis for the heat transfer capacity of different tube diameter regions in the CFD model of the variable diameter condenser.

[0025] Optionally, in an embodiment of the present application, the calculation formula for the cooling water flow rate is:

[0026]

[0027] where i is the i-th pipe, K i is the pipe flow rate, Q is the total flow rate, and l i is the pipe length.

[0028] Through the above technical solution, the embodiments of the present application can accurately calculate the cooling water flow rate in different heat exchange tubes through the relationship between the flow modulus and the total flow rate, so as to obtain more accurate temperature boundary conditions in the CFD calculation. Optionally, in an embodiment of the present application, the calculation formula for the pipe diameter is:

[0029]

[0030] where z represents the optimized area, t represents the current iteration, and t + 1 represents the next iteration. The average heat flux density of the tube group area, d z,t represents the pipe diameter.

[0031] Through the above technical solution, the embodiments of the present application can dynamically adjust the pipe diameter distribution by calculating the ratio of the average heat flux density of each tube group area to the total heat flux density, so that the cooling water flow rate matches the local heat transfer amount. This method can effectively improve the heat transfer efficiency of the condenser, avoid the phenomenon of heat transfer "dead zone" caused by unreasonable pipe diameter design, and thus achieve a more refined tube bundle layout in the optimization design process, improving the overall operating performance and energy efficiency.

[0032] An embodiment of the third aspect of the present application provides an electronic device, including: a memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the condenser variable diameter optimization design method as described in the above embodiments.

[0033] An embodiment of the fourth aspect of the present application provides a computer-readable storage medium, and the computer-readable storage medium stores a computer program, and when the program is executed by a processor, it implements the above condenser variable diameter optimization design method.

[0034] An embodiment of the fifth aspect of the present application provides a computer program product, including a computer program, and the computer program is executed to be used to implement the above condenser variable diameter optimization design method.

[0035] Embodiments of the present application can accurately insight into the heat transfer amount of the condenser cross-section and the distribution of cooling water temperature based on two-dimensional or quasi-three-dimensional CFD calculations, overcoming the limitations of traditional designs. Relying on the scientifically divided tube bundles and their quantitative ratios, precise adjustment of the pipe diameter is achieved to ensure the reasonable allocation of cooling resources. At the same time, by dynamically optimizing the pipe diameter, flow rate, and temperature boundary conditions, local overheating or insufficient cooling is avoided, significantly improving the overall heat transfer efficiency, reducing energy consumption, enhancing the reliability and stability of the condenser, and extending its service life. In addition, clear stop conditions effectively avoid invalid repeated calculations, saving computing resources and time, ensuring that the optimization process is terminated in a timely manner after meeting the design requirements, thereby improving the design efficiency and reliability. By establishing a hydraulic resistance model, the cooling water flow rate in different pipe diameters is accurately calculated, a detailed analysis of the internal flow characteristics of the condenser is realized, and through the relationship between the flow modulus and the total flow rate, the reasonable distribution of cooling water in each pipe is ensured, ultimately improving the heat transfer efficiency, avoiding the phenomenon of "heat transfer dead zones", achieving a more refined tube bundle layout, and improving the overall operating performance and energy efficiency.

[0036] Additional aspects and advantages of the present application will be partially given in the following description, partially become apparent from the following description, or be understood through the practice of the present application. Brief Description of the Drawings

[0037] The above and / or additional aspects and advantages of the present application will become apparent and be easily understood from the following description of the embodiments in conjunction with the drawings, where:

[0038] Figure 1 is a flowchart of a method for optimizing the design of a variable-diameter condenser according to an embodiment of the present application;

[0039] Figure 2 is a schematic structural diagram of a device for optimizing the design of a variable-diameter condenser according to an embodiment of the present application;

[0040] Figure 3 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Detailed Embodiments

[0041] The embodiments of the present application will be described in detail below. The examples of the embodiments are shown in the drawings, where the same or similar reference numerals denote the same or similar elements or elements with the same or similar functions throughout. The embodiments described below with reference to the drawings are exemplary and are intended to explain the present application and should not be construed as limiting the present application.

[0042] The condenser variable-diameter optimization design method and device according to the embodiments of the present application will be described below with reference to the accompanying drawings. In view of the problems in the related art mentioned in the above background art, such as uneven heat flux density in the condenser leading to the easy appearance of "dead zones" at the cooling water outlet end, decreased heat transfer efficiency, and the inability of the traditional single-diameter design idea to effectively improve the local heat transfer capacity, etc., the present application provides a condenser variable-diameter optimization design method. In this method, two-dimensional or quasi-three-dimensional CFD calculations can be used to accurately insight into the heat transfer amount and cooling water temperature distribution on the cross-section of the condenser, providing accurate data support for optimization and overcoming the limitations of traditional designs. The tube bundles are scientifically divided into tube groups according to the heat transfer amount and the proportion is quantified, anchoring accurate targets for the diameter adjustment and realizing the accurate allocation of cooling resources. According to the matching principle of heat transfer amount and cooling water volume, the diameter, flow rate, and temperature boundary conditions are dynamically optimized, approaching the optimum through iteration, avoiding local overheating or insufficient cooling, improving the overall heat transfer efficiency, reducing energy consumption, enhancing the reliability and stability of the condenser, and extending the service life. Thus, the problems in the related art, such as uneven heat flux density in the condenser leading to the easy appearance of "dead zones" at the cooling water outlet end, decreased heat transfer efficiency, and the inability of the traditional single-diameter design idea to effectively improve the local heat transfer capacity, etc., are solved.

[0043] Specifically, Figure 1 is a schematic flowchart of a condenser variable-diameter optimization design method provided by an embodiment of the present application.

[0044] As Figure 1 shown, the condenser variable-diameter optimization design method includes the following steps:

[0045] In step S101, based on the heat exchange tube design parameters of the user, two-dimensional or quasi-three-dimensional CFD calculations are carried out on the shell-side flow field of the target condenser to obtain the heat transfer amount distribution and cooling water temperature distribution on the cross-section of the target condenser.

[0046] It can be understood that the CFD numerical simulation of the condenser can adopt a two-dimensional or quasi-three-dimensional model. The two-dimensional model selects the middle cross-section in the condenser length direction for calculation; the quasi-three-dimensional model selects several cross-sections along the length direction for calculation.

[0047] In the actual execution process, a set of initial heat exchange tube design parameters are given, including but not limited to the arrangement method, diameter, and tube pitch of the heat exchange tubes, etc. According to the given heat exchange tube design parameters, the middle cross-section or other typical cross-sections in the condenser length direction are taken as the calculation domain to carry out CFD numerical simulation calculations. The condenser numerical model adopted in the embodiments of the present application additionally considers the distribution of the cooling water flow rate in tubes with different diameters and the corresponding tube bundle temperature boundary conditions on the basis of the traditional numerical model.

[0048] The cooling water flow distribution method for pipes of different diameters can be established by establishing a pipeline hydraulic flow resistance model based on the principle of equal pressure difference between the inlet and outlet of the cooling water pipe group. Based on this, the cooling water flow rate within different pipe diameters can be calculated. For example, when the total cooling water flow rate is known, the cooling water flow rate in each pipe can be calculated using the following method:

[0049] First calculate the flow modulus K of each pipeline i :

[0050]

[0051] Among them, i is the i-th pipeline, A i is the cross-sectional area of the pipe, C i is Xie Cai coefficient, R i is the hydraulic radius of the pipe section, d i is the pipe diameter, circular pipe R=d / 4.

[0052] The Xie Cai coefficient can be calculated according to the pipe roughness coefficient n by the Manning formula:

[0053]

[0054] According to the head loss along the pipeline h f,i and pipeline flow Q i , between flow modulus K i The relationship between can be used to obtain the calculation formula for the flow rate of each pipeline:

[0055]

[0056] Since the head loss along the parallel pipes is equal, the head loss along the pipes can be expressed by the total flow rate. The formula is as follows:

[0057]

[0058] Substituting formula (5) into formula (3) yields:

[0059]

[0060] If the lengths of the pipes are equal, formula (6) can be further simplified to:

[0061]

[0062] In some embodiments, the numerical model of the condenser also needs to consider the differences in the temperature boundary conditions of the heat exchange tube bundle. The cooling water temperature boundary conditions in each CFD grid on the cross section are calculated based on the calculated cooling water flow rate and heat transfer of the tube bundle. The temperature rise ΔT of the cooling water from the inlet to the outlet of each heat exchange tube is cw The steam condensation amount in the CFD grid is calculated as follows:

[0063]

[0064] Among them, is the steam condensation amount per unit volume, and the calculation result of the previous iteration step is taken in the calculation, V c is the area of the CFD grid, L is the length of the condenser, c p,cw is the isobaric specific heat capacity of the cooling water. The cooling water temperature boundary condition is calculated based on the saturated steam temperature and the logarithmic mean temperature difference of the cooling water. The formula is as follows:

[0065]

[0066] Among them, T s is the steam temperature, T cw,i is the cooling water inlet temperature, T cw,o is the cooling water outlet temperature. When solving the CFD model, the above calculation steps of the cooling water temperature boundary condition need to be repeated at least 2 to 3 times to make the calculation result converge.

[0067] In the embodiments of the present application, in terms of the cooling water flow distribution, the hydraulic flow resistance model can be used to accurately calculate the flow rate of each pipe diameter according to the principle of equal pressure difference, from the flow modulus calculation to the simplified formula, to ensure the reasonable distribution of the cooling water volume of different pipe diameters and improve the cooling uniformity. For the tube bundle temperature boundary condition, the water temperature of each grid is accurately calculated according to the steam condensation amount and the logarithmic mean temperature difference, and multiple iterations are carried out to ensure convergence, so that the model is close to the actual working conditions.

[0068] In step S102, according to the heat transfer distribution situation, the tube bundle is divided into multiple tube groups with heat transfer decreasing from high to low, so as to calculate the proportion of the heat transfer of each tube group in the total heat transfer of the entire tube bundle area.

[0069] It should be noted that when using the quasi-three-dimensional model, the cooling water outlet temperature of the previous section is used as the cooling water inlet temperature of the next section, and the heat flux density distribution of each section is calculated in turn. The heat flux density of each section is weighted and summed with the proportion of the length of the condenser sector represented by the section in the total length of the entire condenser as the weight. The tube groups are divided based on this average heat flux density distribution.

[0070] In the actual execution process, according to the heat flux density distribution calculated in step S101, the heat exchange tubes are divided into 2 to N tube groups, where N is the total number of heat exchange tubes, and all the heat exchange tubes in each tube group have the same tube diameter.

[0071] The embodiments of the present application can divide the tube bundle into different tube groups through the heat flux density distribution analysis based on CFD numerical simulation, so as to be able to carry out refined design for the heat transfer of each tube group.

[0072] In step S103, according to the principle of matching the heat transfer amount of each tube group with the cooling water flow rate, the diameters of at least one tube group are adjusted to generate a new diameter distribution, and the cooling water flow rate and the tube group temperature boundary conditions are calculated to re - perform CFD calculations until a preset optimization iteration stop condition is reached, and a final tube diameter layout scheme is generated.

[0073] It can be understood that the tube diameters of the tube groups are determined according to the principle of matching the heat transfer amount with the cooling water flow rate, which is crucial for optimizing the performance of the condenser. Uneven heat flux density leads to different heat transfer requirements for each tube group. The tube diameter affects the water flow rate and velocity, and thus determines the cooling capacity. If the tube diameter does not match the heat transfer amount and the cooling water flow rate, a series of problems will occur. If the tube diameter is too large, the water velocity is low, the local heat transfer coefficient is poor, the cooling water temperature at the steam inlet section rises, and even a "dead zone" is formed, resulting in a decline in the condensation efficiency; if the tube diameter is too small, the flow rate is insufficient to meet the high heat transfer requirements, reducing the overall heat transfer effect.

[0074] In the actual implementation process, to allocate more cooling water flow rate to the area with a large heat flux density, the tube diameters of each tube group are made proportional to the average heat flux density of the corresponding area:

[0075]

[0076] Among them, is the average heat flux density of the tube group area, d z is the area tube diameter. The tube diameters of each tube group can be updated according to the proportion of the heat flux density of the tube group area in the total heat flux density. The formula is as follows:

[0077]

[0078] Among them, z represents the optimized area, t represents the current iteration, t + 1 represents the next iteration, the average heat flux density of the tube group area, d z,t represents the tube diameter.

[0079] Furthermore, CFD calculations are carried out again on the condenser after adjusting the tube diameter to obtain the heat flux density distribution and the cooling water temperature distribution of the condenser cross - section under the new tube bundle design scheme, and the above - mentioned tube diameter adjustment steps are repeated until the iteration convergence condition is met or the improvement of the condenser performance meets the requirements.

[0080] This application can also adjust the tube diameter distribution according to the principles that the ratio of the cooling water flow rate of the tube group to the heat exchange amount is equal and the ratio of the cooling water flow rate to the heat flux density is equal, which is not limited here.

[0081] Embodiments of the present application can achieve the optimized design of variable tube diameters for condenser tube bundles through a CFD-based numerical simulation method, accurately matching the heat transfer amount and cooling water flow rate of different tube groups, thereby effectively improving the heat transfer efficiency of the condenser and avoiding the problem of "dead zones" in heat transfer caused by excessive cooling water temperature rise. At the same time, through iterative optimization, this method ensures the rationality and scientific nature of the tube diameter distribution, enabling the condenser to achieve higher heat exchange performance while maintaining a low steam flow resistance, ultimately improving the overall operation efficiency.

[0082] According to the optimized design method of variable tube diameters for condensers proposed in embodiments of the present application, two-dimensional or quasi-three-dimensional CFD calculations can be used to accurately understand the heat transfer amount and cooling water temperature distribution of the condenser cross-section, providing accurate data support for optimization and overcoming the limitations of traditional designs. The tube bundles are scientifically divided into tube groups according to the heat transfer amount and the proportion is quantified, anchoring accurate targets for tube diameter adjustment and achieving accurate allocation of cooling resources. The tube diameter, flow rate, and temperature boundary conditions are dynamically optimized according to the principle of matching the heat transfer amount and cooling water volume, approaching the optimum through iteration, avoiding local overheating or insufficient cooling, and improving the overall heat transfer efficiency.

[0083] Next, a device for optimizing the design of variable tube diameters for condensers according to embodiments of the present application will be described with reference to the accompanying drawings.

[0084] Figure 2 It is a block diagram of a device for optimizing the design of variable tube diameters for condensers according to embodiments of the present application.

[0085] As Figure 2 shown, the device 10 for optimizing the design of variable tube diameters for condensers includes: a calculation module 100, a division module 200, and an optimization module 300.

[0086] The calculation module 100 is configured to perform two-dimensional or quasi-three-dimensional CFD calculations on the shell-side flow field of the target condenser based on the design parameters of the heat exchange tubes of the user, so as to obtain the heat transfer amount distribution and cooling water temperature distribution on the cross-section of the target condenser.

[0087] The division module 200 is configured to divide the tube bundle into multiple tube groups with decreasing heat transfer amounts according to the heat transfer amount distribution, so as to calculate the proportion of the heat transfer amount of each tube group in the total heat transfer amount of the entire tube bundle area.

[0088] The optimization module 300 is configured to adjust the tube diameter of at least one tube group according to the principle of matching the heat transfer amount and cooling water volume of each tube group, generate a new tube diameter distribution, and calculate the cooling water flow rate and tube group temperature boundary conditions, so as to perform CFD calculations again until a preset optimization iteration stop condition is reached, and generate a final tube diameter layout plan.

[0089] Optionally, in an embodiment of the present application, the preset optimization iteration stop condition includes a preset number of iterations and / or a preset improved performance of the condenser.

[0090] Optionally, in an embodiment of the present application, the calculation module 100 includes: calculating the cooling water flow rate in different pipe diameters by using a pipeline hydraulic resistance model established based on the principle of equal pressure difference at the inlet and outlet of the cooling water pipe group for the target condenser tube-side condensate flow distribution.

[0091] Optionally, in an embodiment of the present application, the calculation formula for the cooling water flow rate is:

[0092]

[0093] where i is the i-th pipeline, K i is the pipeline flow modulus, Q is the total flow rate, and l i is the pipeline length.

[0094] Optionally, in an embodiment of the present application, the calculation formula for the pipe diameter is:

[0095]

[0096] where z represents the optimized area, t represents the current iteration, and t + 1 represents the next iteration. The average heat flux density of the tube bundle area, d z,t represents the pipe diameter.

[0097] It should be noted that the foregoing explanation of the embodiment of the condenser variable pipe diameter optimization design method also applies to the condenser variable pipe diameter optimization design device of this embodiment, and will not be repeated here.

[0098] The condenser variable pipe diameter optimization design device proposed according to the embodiments of the present application can accurately insight into the heat transfer amount and cooling water temperature distribution of the condenser cross-section through two-dimensional or quasi-three-dimensional CFD calculations, providing accurate data support for optimization and overcoming the limitations of traditional designs. The tube bundle groups are scientifically divided according to the heat transfer amount and the proportion is quantified, providing a precise target for pipe diameter adjustment and realizing precise allocation of cooling resources. According to the matching principle of heat transfer amount and cooling water volume, the pipe diameter, flow rate, and temperature boundary conditions are dynamically optimized, approaching the optimum through iteration, avoiding local overheating or insufficient cooling, and improving the overall heat transfer efficiency.

[0099] Figure 3 It is a schematic structural diagram of an electronic device provided by an embodiment of the present application. The electronic device may include:

[0100] A memory 301, a processor 302, and a computer program stored on the memory 301 and executable on the processor 302.

[0101] When the processor 302 executes the program, it implements the condenser variable pipe diameter optimization design method provided in the above embodiment.

[0102] Furthermore, the electronic device further includes:

[0103] A communication interface 303 for communication between the memory 301 and the processor 302.

[0104] A memory 301 for storing computer programs that can run on the processor 302.

[0105] The memory 301 may include high-speed RAM memory and may also include non-volatile memory, such as at least one disk memory.

[0106] If the memory 301, the processor 302, and the communication interface 303 are implemented independently, the communication interface 303, the memory 301, and the processor 302 can be interconnected through a bus to complete communication with each other. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into an address bus, a data bus, a control bus, etc. For the sake of representation, Figure 3 only a thick line is used to represent it in the figure, but it does not mean that there is only one bus or one type of bus.

[0107] Optionally, in a specific implementation, if the memory 301, the processor 302, and the communication interface 303 are integrated on a chip, the memory 301, the processor 302, and the communication interface 303 can complete communication with each other through an internal interface.

[0108] The processor 302 may be a Central Processing Unit (CPU), or an Application Specific Integrated Circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of the present application.

[0109] The embodiments of the present application also provide a computer-readable storage medium, on which a computer program is stored, and when the program is executed by a processor, the above condenser variable-diameter optimization design method is implemented.

[0110] The embodiments of the present application also provide a computer program product, including a computer program, and the computer program is executed to implement the above condenser variable-diameter optimization design method.

[0111] In the description of this specification, the descriptions referring to terms such as "one embodiment", "some embodiments", "examples", "specific examples", or "some examples" etc. mean that the specific features, structures, materials, or characteristics described in connection with the embodiment or example are included in at least one embodiment or example of this application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials, or characteristics described can be combined in any one or N embodiments or examples in a suitable manner. In addition, without contradiction, those skilled in the art can combine and combine the different embodiments or examples described in this specification and the features of different embodiments or examples.

[0112] In addition, the terms "first" and "second" are used only for descriptive purposes and cannot be construed as indicating or implying relative importance or implicitly specifying the quantity of the indicated technical features. Thus, the features defined with "first" and "second" may explicitly or implicitly include at least one of such features. In the description of this application, the meaning of "N" is at least two, such as two, three, etc., unless otherwise specifically defined.

[0113] Any process or method description in a flowchart or described in other ways herein can be understood as representing a module, segment, or portion of code including one or N executable instructions for implementing a customized logic function or process, and the scope of the preferred embodiments of this application includes additional implementations, where the functions can be executed in a substantially simultaneous manner or in a reverse order according to the functions involved, rather than in the order shown or discussed, which should be understood by those skilled in the art to which the embodiments of this application belong.

[0114] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a definitional sequence list of executable instructions for implementing logical functions, and can be specifically implemented in any computer-readable medium for use by an instruction execution system, apparatus, or device (such as a computer-based system, a system including a processor, or other systems that can fetch and execute instructions from the instruction execution system, apparatus, or device), or in conjunction with these instruction execution systems, apparatus, or devices. For the purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by or in conjunction with an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection portion (electronic device) having one or N wirings, a portable computer diskette (magnetic device), a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). Additionally, the computer-readable medium can even be paper or other suitable media on which the program can be printed, as the program can be obtained electronically by optically scanning the paper or other media, followed by editing, interpretation, or other suitable processing as necessary, and then stored in a computer memory.

[0115] It should be understood that the various parts of the present application can be implemented by hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods can be implemented by software or firmware stored in a memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, any one or a combination of the following techniques known in the art can be used: discrete logic circuits having logic gate circuits for implementing logical functions on data signals, application-specific integrated circuits having suitable combinational logic gate circuits, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0116] Those of ordinary skill in the art of this technology can understand that all or part of the steps carried by the method of the above-described embodiments can be completed by instructing relevant hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiments.

[0117] In addition, each functional unit in various embodiments of the present application may be integrated into one processing module, may exist separately as individual physical units, or two or more units may be integrated into one module. The above-mentioned integrated module may be implemented in the form of hardware or in the form of a software functional module. When the integrated module is implemented in the form of a software functional module and sold or used as an independent product, it may also be stored in a computer-readable storage medium.

[0118] The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disc, etc. Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and should not be construed as limiting the present application. Those of ordinary skill in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present application.

Claims

1. An optimized design method for variable pipe diameters of a condenser, characterized in that, Including the following steps: Based on the heat exchange tube design parameters of the user, perform two-dimensional or quasi-three-dimensional CFD calculations on the shell-side flow field of the target condenser to obtain the heat transfer distribution and cooling water temperature distribution on the cross-section of the target condenser; According to the heat transfer distribution, divide the tube bundle into multiple tube groups with decreasing heat transfer, and calculate the proportion of the heat transfer of each tube group in the total heat transfer of the entire tube bundle area; Adjust the pipe diameters of at least one tube group according to the principle of matching the heat transfer of each tube group with the cooling water volume, generate a new pipe diameter distribution, calculate the cooling water flow rate and the tube group temperature boundary conditions, and re-perform CFD calculations until the preset optimization iteration stop condition is reached, and generate the final pipe diameter layout plan.

2. The method according to claim 1, wherein The preset optimization iteration stop condition includes a preset number of iterations and / or a preset condenser performance improvement.

3. The method according to claim 1, characterized in that The two-dimensional or quasi-three-dimensional CFD calculation of the shell-side flow field of the target condenser includes: Use a pipeline hydraulic resistance model established based on the principle of equal pressure difference between the inlet and outlet of the cooling water pipe group to calculate the cooling water flow rate in different pipe diameters for the condensate water flow rate distribution on the tube side of the target condenser.

4. The method according to claim 3, characterized in that, The calculation formula for the cooling water flow rate is: where i is the i-th pipeline, K i is the pipeline flow modulus, Q is the total flow rate, and l i is the pipeline length.

5. The method according to claim 1, characterized in that, The calculation formula for the pipe diameter is: Among them, z represents the optimized region, t represents the current iteration, and t+1 represents the next iteration. Average heat flux density of the tube bank region, d z, represents the tube diameter.

6. An optimized design device for variable pipe diameters of a condenser, characterized in that, Including: A calculation module for performing two-dimensional or quasi-three-dimensional CFD calculations on the target condenser based on the heat exchange tube design parameters of the user to obtain the heat transfer distribution and cooling water temperature distribution on the cross-section of the target condenser; A division module for dividing the tube bundle into multiple tube groups with decreasing heat transfer according to the heat transfer distribution to calculate the proportion of the heat transfer of each tube group in the total heat transfer of the entire tube bundle area; An optimization module for adjusting the pipe diameters of at least one tube group according to the principle of matching the heat transfer of each tube group with the cooling water volume, generating a new pipe diameter distribution, calculating the cooling water flow rate and the tube group temperature boundary conditions, and re-performing CFD calculations until the preset optimization iteration stop condition is reached, and generating the final pipe diameter layout plan.

7. The device according to claim 6, characterized in that The preset optimization iteration stop condition includes a preset number of iterations and / or a preset condenser performance improvement.

8. An electronic device, characterized in that, Including: A memory, a processor, and a computer program stored on the memory and executable on the processor, and the processor executes the program to implement the condenser variable pipe diameter optimization design method according to any one of claims 1-5.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to be used for implementing the condenser variable pipe diameter optimization design method according to any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed to be used for implementing the condenser variable pipe diameter optimization design method according to any one of claims 1-5.

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