Compressed air energy storage array heat exchanger topology optimization method, device and equipment

Abstract

The application relates to the technical field of heat exchangers, in particular to a compressed air energy storage array type heat exchanger topology optimization method, device and equipment, wherein the method comprises the following steps: a physical model and a structure topology model of the array type heat exchanger are established; the cold fluid outlet temperature and the hot fluid outlet temperature of the array type heat exchanger are determined based on the physical model of the array type heat exchanger, and the connection rule and the operation mode of each heat exchanger unit are obtained; a physical model of a turbine connected with the array type heat exchanger is established; the number of heat exchanger units used by the array type heat exchanger is determined by combining the previous temperature information and the operation rule of the heat exchanger unit; the structure topology model of the array type heat exchanger is optimized according to the corresponding equivalent power of the number of heat exchanger units used by the array type heat exchanger; and the optimized structure topology model is used to control the flow of the array type heat exchanger. Therefore, the problems that the heat exchanger of the compressed air energy storage system has low operation efficiency and is difficult to adapt to variable working conditions in the prior art are solved.

Description

Technical Field

[0001] This application relates to the field of heat exchanger technology, and in particular to a method, apparatus and equipment for topology optimization of a compressed air energy storage array heat exchanger. Background Technology

[0002] Compressed air energy storage systems, as a long-term energy storage technology comparable to pumped hydro storage, play a key role in solving the problem of energy consumption such as wind and solar curtailment due to their many advantages, such as flexible site selection conditions, simple equipment construction, and strong inertial support capacity. They have become an important direction for the development of current energy storage technology.

[0003] In compressed air energy storage systems, the heat exchanger is a core component, and its operating efficiency directly affects the overall system's electro-electric conversion efficiency. The heat exchanger not only needs to efficiently transfer heat but also maintain stable performance under varying operating conditions, fully utilizing compression heat and air pressure to maximize the overall system efficiency. However, heat exchangers in compressed air energy storage systems often lack sufficient operating efficiency and stability, making it difficult to efficiently utilize compression heat and air pressure under diverse operating conditions, thus hindering the improvement of the overall system efficiency. Summary of the Invention

[0004] This application provides a method, apparatus, and equipment for topology optimization of compressed air energy storage array heat exchangers to solve problems such as low operating efficiency and difficulty in adapting to changing operating conditions in existing compressed air energy storage system heat exchangers.

[0005] The first aspect of this application provides a topology optimization method for a compressed air energy storage array heat exchanger, comprising the following steps: establishing a physical model and a structural topology model of the array heat exchanger; determining the cold fluid outlet temperature and hot fluid outlet temperature of the array heat exchanger based on the physical model of the array heat exchanger, and obtaining the connection rules and operating modes of each heat exchanger unit of the array heat exchanger; establishing a physical model of a turbine connected to the array heat exchanger, and determining the number of heat exchanger units used in the array heat exchanger based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit; optimizing the structural topology model of the array heat exchanger according to the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger, obtaining an optimized structural topology model, and using the optimized structural topology model to control the flow rate of the array heat exchanger.

[0006] Optionally, the connection rules include: each heat exchanger unit is connected in parallel, and the cold fluid and hot fluid of each heat exchanger unit are connected in series with the adjacent heat exchanger unit at the target inlet and outlet.

[0007] Optionally, the operation mode includes ensuring that the mass flow rates of the hot and cold fluids are equal in each heat exchanger unit.

[0008] Optionally, based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit, the number of heat exchanger units used in the array heat exchanger is determined, including: based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit, determining the power command that meets the requirements of the array heat exchanger; and enumerating or statically playing a game on the number of heat exchanger units under the power command to determine the number of heat exchanger units used in the array heat exchanger.

[0009] Optionally, the structural topology model of the array heat exchanger is optimized based on the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger to obtain an optimized structural topology model. This includes: determining an objective function based on the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger, wherein the objective function includes at least one of the equivalent power tracking deviation, the residual heat transfer energy of the hot fluid, and the overall heat transfer efficiency of the heat exchanger; and optimizing the structural topology model of the array heat exchanger using the objective function so that at least one of the equivalent power tracking deviation, the residual heat transfer energy of the hot fluid, and the overall heat transfer efficiency of the heat exchanger satisfies a preset condition to obtain the optimized structural topology model.

[0010] A second aspect of this application provides a topology optimization device for a compressed air energy storage array heat exchanger, comprising: a modeling module for modeling a physical model and a structural topology model of the array heat exchanger; an acquisition module for determining the cold fluid outlet temperature and hot fluid outlet temperature of the array heat exchanger based on the physical model of the array heat exchanger, and acquiring the connection rules and operating modes of each heat exchanger unit of the array heat exchanger; a determination module for modeling a turbine connected to the array heat exchanger, and determining the number of heat exchanger units used in the array heat exchanger based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit; and a control module for optimizing the structural topology model of the array heat exchanger according to the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger, obtaining an optimized structural topology model, and controlling the flow rate of the array heat exchanger using the optimized structural topology model.

[0011] The third aspect of this application provides a compressed air energy storage array heat exchanger topology, which is optimized using the compressed air energy storage array heat exchanger topology optimization method described above.

[0012] A fourth aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the above-described compressed air energy storage array heat exchanger topology optimization method.

[0013] A fifth aspect of this application provides a computer-readable storage medium having a computer program stored thereon, which is executed by a processor to implement the above-described method for optimizing the topology of a compressed air energy storage array heat exchanger.

[0014] A sixth aspect of this application provides a computer program product having a computer program or instructions stored thereon, which, when executed, implements the above-described method for optimizing the topology of a compressed air energy storage array heat exchanger.

[0015] Therefore, this application has at least the following beneficial effects:

[0016] This application's embodiments construct a physical and structural topology model of an array-type heat exchanger to gain a deeper understanding of its working principle and structural characteristics. Based on determining the outlet temperatures of the hot and cold fluids and the connection and operation rules of the heat exchanger units, a turbine physical model is further constructed, and the number of heat exchanger units is determined by considering multiple factors. By dynamically adjusting the connection method and operating parameters, the array-type heat exchanger can flexibly adapt to different operating conditions and meet diverse operational requirements. Simultaneously, by optimizing and changing the number of heat exchanger units and the structural topology model, not only can the operating domain of the heat exchanger system be broadened, but precise control of the heat exchanger flow rate can also be achieved, thereby significantly improving the high-efficiency operation capability of the compressed air energy storage heat exchanger system. Thus, it solves the technical problems of low operating efficiency and difficulty in adapting to diverse operating conditions in existing compressed air energy storage system heat exchangers.

[0017] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0018] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein:

[0019] Figure 1 This is a flowchart of a topology optimization method for a compressed air energy storage array heat exchanger provided according to an embodiment of this application;

[0020] Figure 2 This is a flowchart of a topology optimization method for a compressed air energy storage array heat exchanger according to an embodiment of this application;

[0021] Figure 3 This is a schematic diagram of a compressed air energy storage array heat exchanger topology optimization device provided according to an embodiment of this application;

[0022] Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application. Detailed Implementation

[0023] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0024] The following description, with reference to the accompanying drawings, outlines a method, apparatus, and device for optimizing the topology of a compressed air energy storage array heat exchanger according to embodiments of this application. Addressing the issue of efficient utilization of heat resources in compressed air energy storage heat exchange systems mentioned in the background, this application provides a method for optimizing the topology of a compressed air energy storage array heat exchanger. This method involves constructing a physical and structural topology model of the array heat exchanger to gain a deeper understanding of its working principle and structural characteristics. Based on determining the outlet temperatures of the hot and cold fluids and the connection and operation rules of the heat exchanger units, a turbine physical model is further constructed, and the number of heat exchanger units is determined by considering multiple factors. By dynamically adjusting the connection method and operating parameters, the array heat exchanger can flexibly adapt to different operating conditions and meet diverse operational requirements. Simultaneously, by optimizing and changing the number of heat exchanger units and the structural topology model, not only can the operating domain of the heat exchanger system be broadened, but also precise control of the heat exchanger flow rate can be achieved, thereby significantly improving the high-efficiency operation capability of the compressed air energy storage heat exchanger system. This solves the problems of low operating efficiency and difficulty in adapting to diverse operating conditions in existing compressed air energy storage system heat exchangers.

[0025] Specifically, Figure 1 This is a flowchart illustrating a topology optimization method for a compressed air energy storage array heat exchanger provided in an embodiment of this application.

[0026] like Figure 1 As shown, the topology optimization method for the compressed air energy storage array heat exchanger includes the following steps:

[0027] In step S101, the physical model and structural topology model of the array heat exchanger are established.

[0028] The physical models can include LMTD (logarithmic mean temperature difference method), ε-NTU (heat exchanger effectiveness-number of transfer units method), heat flow method, etc.

[0029] It is understood that by establishing a physical model of the array heat exchanger, the physical behavior and performance prediction of the heat exchanger can be analyzed, and by establishing a structural topology model, the structural composition and topological relationship of the heat exchanger can be described, providing strong support for optimized design and improved system efficiency.

[0030] In step S102, the cold fluid outlet temperature and hot fluid outlet temperature of the array heat exchanger are determined based on the physical model of the array heat exchanger, and the connection rules and operating modes of each heat exchanger unit of the array heat exchanger are obtained.

[0031] The cold fluid outlet temperature can be the temperature of the cold fluid that flows out of the heat exchanger after heat exchange in the array heat exchanger; the hot fluid outlet temperature can be the temperature of the hot fluid that flows out of the heat exchanger after heat exchange in the array heat exchanger.

[0032] The connection rules may include parallel connection of each heat exchanger unit, and the cold fluid and hot fluid between each heat exchanger unit and the adjacent heat exchanger unit at the target inlet and outlet. Parallel connection may be multiple heat exchanger units arranged side by side on the fluid flow path, so that the fluid can flow through these units at the same time. Series connection may be in the series connection of heat exchanger units, in which the fluid passes through one heat exchanger unit after another in sequence.

[0033] The operating mode may include equal mass flow rates of hot and cold fluids in each heat exchanger unit, where the mass flow rate can be the mass of fluid passing through a unit area per unit time.

[0034] It is understood that the cold and hot fluid outlet temperatures calculated by the physical model in this application embodiment can accurately predict the heat exchange performance of the array heat exchanger, obtain and adjust the connection mode and operation mode of each heat exchanger unit, optimize the heat exchange efficiency of the heat exchanger, reduce energy consumption, and thus improve operational stability and reliability.

[0035] In step S103, a physical model of the turbine connected to the array heat exchanger is established. Based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, as well as the connection rules and operating mode of each heat exchanger unit, the number of heat exchanger units used in the array heat exchanger is determined.

[0036] The turbine physical model can be a mathematical description of the actual working principle and operating state of the turbine, and the number of heat exchanger units can be the number of independent heat exchanger units that constitute the array heat exchanger.

[0037] It is understood that by establishing a physical model of the turbine, the embodiments of this application can predict the performance of the turbine under different inlet fluid conditions. Based on the cold fluid outlet temperature and the hot fluid outlet temperature, the connection rules and operating modes of each heat exchanger unit, the performance requirements of the turbine can be analyzed, thereby determining the number of heat exchanger units required for the array heat exchanger, reducing operating costs, and achieving accurate prediction and optimization of performance.

[0038] In this embodiment, the number of heat exchanger units used in the array heat exchanger is determined based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit. This includes: determining the power command that meets the requirements of the array heat exchanger based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit; and enumerating or statically playing a game on the number of heat exchanger units under the power command to determine the number of heat exchanger units used in the array heat exchanger.

[0039] Among them, the power command can be a turbine output power target set to meet specific performance requirements; enumeration can be checking all possible combinations of the number of heat exchanger units used in the array heat exchanger during the process of determining the number of heat exchanger units; and static game theory can be analyzing the impact of different numbers of units on system performance and economy under a given power command, without considering the possible reactions or adjustments of other parts of the system caused by changes in the number of units.

[0040] It is understood that, by combining the physical model of the turbine, fluid temperature parameters, and the connection and operation rules of the heat exchanger units, the embodiments of this application can formulate power commands that meet the system requirements. By using enumeration or static game theory methods, the optimal number of heat exchanger units can be determined under the premise of meeting the power commands, so as to achieve a balance between performance and economy.

[0041] For example, taking the enumeration method as an example, such as Figure 2 As shown, first, a power setting value is given, and then the number of heat exchanger units N is given. The initial value can be 1. The lower limit of the power output that meets the error requirements under the number of heat exchanger units is calculated. When the lower limit of the power is greater than the power setting value, the calculation ends. Otherwise, the number of heat exchanger units is increased by one and the calculation is repeated.

[0042] In step S104, the structural topology model of the array heat exchanger is optimized according to the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger, and the optimized structural topology model is used to control the flow rate of the array heat exchanger.

[0043] The equivalent power can be the amount of heat that the heat exchanger can transfer or the amount of heat exchanged per unit time.

[0044] It is understood that the embodiments of this application can significantly improve the heat exchange efficiency of the array heat exchanger by optimizing the number of heat exchanger units and flow control, which helps to reduce energy consumption; by optimizing and changing the number of heat exchanger units and topology, the operating domain of the heat exchanger system can be broadened; the optimized structural topology model makes the flow distribution more reasonable, reduces the performance fluctuation caused by uneven flow, and can adapt to different working environments and changing needs.

[0045] In this embodiment, the structural topology model of the array heat exchanger is optimized based on the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger to obtain an optimized structural topology model. This includes: determining an objective function based on the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger, wherein the objective function includes at least one of the equivalent power tracking deviation, the residual heat transfer energy of the hot fluid, and the overall heat transfer efficiency of the heat exchanger; and optimizing the structural topology model of the array heat exchanger using the objective function so that at least one of the equivalent power tracking deviation, the residual heat transfer energy of the hot fluid, and the overall heat transfer efficiency of the heat exchanger satisfies a preset condition to obtain the optimized structural topology model.

[0046] Among them, the equivalent power tracking deviation can be the difference or deviation between the actual generated equivalent power and the expected or target equivalent power; the residual heat energy of the hot fluid can be the unutilized heat energy that the hot fluid still retains after passing through the heat exchanger; the overall heat exchange efficiency of the heat exchanger can be the ratio of the heat transferred from the hot fluid to the cold fluid to the total heat carried by the hot fluid; the preset conditions can be the expected standards or limits set for performance indicators such as the equivalent power tracking deviation, the residual heat energy of the hot fluid, and the overall heat exchange efficiency of the heat exchanger during the optimization process.

[0047] It is understood that, through the relationship between the number of heat exchanger units used in the array heat exchanger and the equivalent power, the objective function is determined, which includes the equivalent power tracking deviation, the residual heat energy of the hot fluid, and the overall heat exchange efficiency of the heat exchanger. The objective function is used to optimize the structural topology model of the array heat exchanger. The optimized structural topology model can more accurately track the target equivalent power, reduce the deviation between the actual power and the target power, and effectively reduce the residual energy of the hot fluid after passing through the heat exchanger. This enables the heat exchanger to complete the heat exchange process more quickly, thereby improving the heat treatment capacity.

[0048] Specifically, the objective functions for optimizing the equivalent power tracking deviation, residual heat transfer energy of the heat fluid, and overall heat transfer efficiency of the heat exchanger can be optimized. The proportion of each element in the objective function can be determined by different methods, such as the zero-sum game method and the entropy weight method. Taking the zero-sum game method as an example, the multi-objective optimization problem containing each element is transformed into a single-objective optimization problem model with equivalent problem, and the weight proportion of each element is obtained through a multi-person zero-sum game, thus eliminating subjective factors.

[0049] The optimized constraints include turbine power command constraints, turbine safe operation constraints, shared gas path constraints for each stage of the array heat exchanger, and heat exchanger safe operation constraints. In the process of writing these constraints, the impact of mass flow rate changes on the physical quantities of the model needs to be considered. All heat exchanger-related physical quantities are modeled as variables and written into the topology optimization constraints. Relevant nonlinear and nonconvex constraints can be relaxed and linearized through relevant methods to consider the dynamic characteristics of the model in steady-state analysis, so as to achieve more accurate calculations.

[0050] The topology optimization method for compressed air energy storage array heat exchangers proposed in this application involves constructing a physical and structural topology model of the array heat exchanger to gain a deeper understanding of its working principle and structural characteristics. Based on determining the outlet temperatures of the hot and cold fluids and the connection and operation rules of the heat exchanger units, a turbine physical model is further constructed, and the number of heat exchanger units is determined by considering multiple factors. By dynamically adjusting the connection method and operating parameters, the array heat exchanger can flexibly adapt to different operating conditions and meet diverse operational requirements. Simultaneously, by optimizing and changing the number of heat exchanger units and the structural topology model, not only can the operating domain of the heat exchanger system be broadened, but also precise control of the heat exchanger flow rate can be achieved, thereby significantly improving the high-efficiency operation capability of the compressed air energy storage heat exchanger system. This solves the problems of low operating efficiency and difficulty in adapting to diverse operating conditions in existing compressed air energy storage system heat exchangers.

[0051] The following specific embodiment will illustrate the topology optimization method for compressed air energy storage array heat exchangers, including the following steps:

[0052] S1 establishes a physical model of the countercurrent heat exchanger. The physical model can be LMTD (logarithmic mean temperature difference method), ε-NTU (heat exchanger effectiveness-number of transfer units method), heat flow method, etc. The outlet temperatures of the hot and cold fluids of the heat exchanger are obtained through the established model and the given initial conditions.

[0053] It should be noted that the initial conditions can be the inlet and outlet temperatures of the hot and cold fluids at time t=0.

[0054] S2 establishes the topological model of the array heat exchanger structure;

[0055] S3 specifies the connection rules and operating mode of each heat exchanger unit in the array heat exchanger. In the topology model of the array heat exchanger, the connection mode of the cold and hot fluids of each heat exchanger unit is considered separately, but all follow the principle that parallel connection is only allowed at the total inlet and outlet and only the cold and hot fluids of two adjacent heat exchanger units are allowed to be connected in series.

[0056] It should be noted that the total inlet and outlet can be the total inlet and outlet of the array heat exchanger. For ease of control, the mass flow rates of the hot and cold fluids in each heat exchanger unit are equal.

[0057] S4 models the turbine to determine the power command. It models the turbine connected to the heat exchanger using mathematical formulas and converts the power signal output by the turbine into the power command that the heat exchanger needs to meet.

[0058] S5 determines the number of heat exchanger units used in the array heat exchanger according to the specified power command, and determines the number of heat exchanger units by enumeration or static game theory.

[0059] S6 performs topology optimization on the array heat exchanger based on the selected objective function. The number of heat exchanger units and the corresponding equivalent power determined in S5 are input into the optimization program, and then the array heat exchanger is optimized.

[0060] In summary, the embodiments of this application can broaden the operating domain of the heat exchanger system by optimizing and changing the number of heat exchanger units and the topology. The proposed model and optimization method fully consider the dynamic characteristics of the model, model the physical quantities related to mass flow rate as variables for topology optimization to achieve semi-dynamic steady-state model. The number of heat exchanger units applicable to a given power command is calculated through relevant algorithms, and then topology optimization is performed through the equivalent power coupling relationship between the heat exchanger and the turbine to achieve reasonable allocation of heat resources.

[0061] It should be noted that the air heated by the heat exchanger flows into the turbine to do work, and the temperature and mass flow rate of the air will be reflected in the power output of the turbine, thus forming a coupling relationship.

[0062] Next, referring to the accompanying drawings, a topology optimization device for a compressed air energy storage array heat exchanger proposed according to an embodiment of this application is described.

[0063] Figure 3 This is a block diagram of a compressed air energy storage array heat exchanger topology optimization device according to an embodiment of this application.

[0064] like Figure 3 As shown, the compressed air energy storage array heat exchanger topology optimization device 10 includes: a setup module 100, an acquisition module 200, a determination module 300, and a control module 400.

[0065] The module 100 is used to establish the physical model and structural topology model of the array heat exchanger; the acquisition module 200 is used to determine the cold fluid outlet temperature and hot fluid outlet temperature of the array heat exchanger based on the physical model of the array heat exchanger, and to acquire the connection rules and operating modes of each heat exchanger unit of the array heat exchanger; the determination module 300 is used to establish the physical model of the turbine connected to the array heat exchanger, and to determine the number of heat exchanger units used in the array heat exchanger based on the physical model of the turbine, the cold fluid outlet temperature and hot fluid outlet temperature, and the connection rules and operating modes of each heat exchanger unit; the control module 400 is used to optimize the structural topology model of the array heat exchanger according to the equivalent power corresponding to the number of heat exchanger units used in the array heat exchanger, to obtain the optimized structural topology model, and to control the flow rate of the array heat exchanger using the optimized structural topology model.

[0066] It should be noted that the foregoing explanation of the topology optimization method for compressed air energy storage array heat exchangers also applies to the topology optimization device for compressed air energy storage array heat exchangers in this embodiment, and will not be repeated here.

[0067] The compressed air energy storage array heat exchanger topology optimization device proposed in this application constructs a physical and structural topology model of the array heat exchanger to gain a deeper understanding of its working principle and structural characteristics. Based on determining the outlet temperatures of the hot and cold fluids and the connection and operation rules of the heat exchanger units, a turbine physical model is further constructed, and the number of heat exchanger units is determined by considering multiple factors. By dynamically adjusting the connection method and operating parameters, the array heat exchanger can flexibly adapt to different operating conditions and meet diverse operational needs. Simultaneously, by optimizing and changing the number of heat exchanger units and the structural topology model, not only can the operating domain of the heat exchanger system be broadened, but also precise control of the heat exchanger flow rate can be achieved, thereby significantly improving the high-efficiency operation capability of the compressed air energy storage heat exchanger system. This solves the problems of low operating efficiency and difficulty in adapting to diverse operating conditions in existing compressed air energy storage system heat exchangers.

[0068] This application also provides a compressed air energy storage array heat exchanger topology, which is optimized using the above-described compressed air energy storage array heat exchanger topology optimization method.

[0069] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include:

[0070] The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0071] When the processor 402 executes the program, it implements the compressed air energy storage array heat exchanger topology optimization method provided in the above embodiments.

[0072] Furthermore, electronic devices also include:

[0073] Communication interface 403 is used for communication between memory 401 and processor 402.

[0074] The memory 401 is used to store computer programs that can run on the processor 402.

[0075] The memory 401 may include high-speed RAM (Random Access Memory) memory, and may also include non-volatile memory, such as at least one disk storage.

[0076] If the memory 401, processor 402, and communication interface 403 are implemented independently, then the communication interface 403, memory 401, and processor 402 can be interconnected via a bus to complete communication between them. The bus can be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, or an EISA (Extended Industry Standard Architecture) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 4 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0077] Optionally, in a specific implementation, if the memory 401, processor 402, and communication interface 403 are integrated on a single chip, then the memory 401, processor 402, and communication interface 403 can communicate with each other through an internal interface.

[0078] Processor 402 may be a CPU (Central Processing Unit), an ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement the embodiments of this application.

[0079] This application also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for optimizing the topology of a compressed air energy storage array heat exchanger.

[0080] This application also provides a computer program product storing a computer program or instructions, which, when executed, implements the above-described compressed air energy storage array heat exchanger topology optimization method.

[0081] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0082] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0083] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or more N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0084] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. For example, if implemented in hardware, as in another embodiment, it can be implemented using any one or a combination of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (FPGAs), field-programmable gate arrays (FPGAs), etc.

[0085] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

Claims

1. A compressed air energy storage array heat exchanger topology optimization method, characterized in that, The method comprises the following steps: a physical model and a structure topology model of the array heat exchanger are established; cold fluid outlet temperature and hot fluid outlet temperature of the array heat exchanger are determined based on the physical model of the array heat exchanger, and connection rules and operation modes of each heat exchanger unit of the array heat exchanger are obtained; a physical model of a turbine connected with the array heat exchanger is established, and the number of heat exchanger units used by the array heat exchanger is determined based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and the operation modes of each heat exchanger unit, comprising determining a power instruction meeting the demand of the array heat exchanger based on the physical model of the turbine, the cold fluid outlet temperature and the hot fluid outlet temperature, and the connection rules and the operation modes of each heat exchanger unit; the number of heat exchanger units is enumerated or statically gamed under the power instruction to determine the number of heat exchanger units used by the array heat exchanger; the structure topology model of the array heat exchanger is optimized according to the equivalent power corresponding to the number of heat exchanger units used by the array heat exchanger to obtain an optimized structure topology model, comprising determining a target function according to the equivalent power corresponding to the number of heat exchanger units used by the array heat exchanger, wherein the target function comprises at least one of equivalent power tracking deviation, hot fluid heat exchange residual energy and overall heat exchange efficiency of the heat exchanger, and the structure topology model of the array heat exchanger is optimized by using the target function, so that at least one of the equivalent power tracking deviation, the hot fluid heat exchange residual energy and the overall heat exchange efficiency of the heat exchanger meets a preset condition to obtain the optimized structure topology model; the flow of the array heat exchanger is controlled by using the optimized structure topology model.

2. The compressed air energy storage array heat exchanger topology optimization method of claim 1, wherein, The connection rules comprise that each heat exchanger unit is connected in parallel, and the cold fluid and the hot fluid between each heat exchanger unit and an adjacent heat exchanger unit at a target inlet and outlet are connected in series, and the target inlet and outlet are total inlet and outlet of the compressed air energy storage array heat exchanger.

3. The compressed air energy storage array heat exchanger topology optimization method of claim 1, wherein, The operation modes comprise that the cold fluid mass flow rate and the hot fluid mass flow rate in each heat exchanger unit are equal.

4. A compressed air energy storage array heat exchanger topology optimization apparatus, comprising: The method comprises: a physical model and a structure topology model of the array heat exchanger are established by the establishing module; cold fluid outlet temperature and hot fluid outlet temperature of the array heat exchanger are determined based on the physical model of the array heat exchanger by the obtaining module, and connection rules and operation modes of each heat exchanger unit of the array heat exchanger are obtained. The determining module is configured to establish a physical model of a turbine connected to the array heat exchanger, determine the number of heat exchanger units used by the array heat exchanger based on the physical model of the turbine, the outlet temperatures of the cold fluid and the hot fluid, and the connection rules and operation modes of the heat exchanger units, and the determination includes determining a power instruction that meets the requirements of the array heat exchanger based on the physical model of the turbine, the outlet temperatures of the cold fluid and the hot fluid, and the connection rules and operation modes of the heat exchanger units; and enumerating or statically gaming the number of heat exchanger units under the power instruction to determine the number of heat exchanger units used by the array heat exchanger. The control module is configured to optimize a structure topology model of the array heat exchanger according to an equivalent power corresponding to the number of heat exchanger units used by the array heat exchanger, to obtain an optimized structure topology model, and the optimization includes determining a target function according to the equivalent power corresponding to the number of heat exchanger units used by the array heat exchanger, wherein the target function includes at least one of an equivalent power tracking deviation, a hot fluid heat exchange residual energy, and a heat exchanger overall heat exchange efficiency, and the structure topology model of the array heat exchanger is optimized by using the target function, so that at least one of the equivalent power tracking deviation, the hot fluid heat exchange residual energy, and the heat exchanger overall heat exchange efficiency meets a preset condition, to obtain the optimized structure topology model; and the flow of the array heat exchanger is controlled by using the optimized structure topology model.

5. A compressed air energy storage array heat exchanger topology, comprising: The compressed air energy storage array heat exchanger topology optimization method is optimized by using any one of claims 1-3.

6. An electronic device, comprising: Comprises: 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 compressed air energy storage array heat exchanger topology optimization method according to any one of claims 1-3.

7. A computer-readable storage medium having stored thereon a computer program, characterized in that, The program is executed by the processor to implement the compressed air energy storage array heat exchanger topology optimization method according to any one of claims 1-3.

8. A computer program product having stored thereon a computer program or instructions, characterized in that, The computer program or instructions are executed to implement the compressed air energy storage array heat exchanger topology optimization method according to any one of claims 1-3.

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