Full-process optimization design method of deep salt cavern compressed air energy storage system

Abstract

The invention relates to a deep salt cavern compressed air energy storage system full-process optimization design method, which comprises the following steps: determining the type selection of a compressed air energy storage CAES system gas storage based on the characteristic advantages, the construction cost and the working characteristics of different types of gas storage so as to determine the parameters of the gas storage; based on the operation characteristics of a heat storage medium of the heat exchange system, temperature route selection of the CAES system is determined; according to the parameters of the gas storage and the temperature route type selection, configuring relevant parameters of the turbine subsystem so as to determine configuration parameters of the turbine subsystem; and correspondingly configuring each operation parameter of the CAES compression subsystem according to the configuration parameters of the turbine subsystem so as to determine the overall configuration of the compressed air energy storage system. Therefore, the problems that in the related technology, due to the existence of geological conditions and engineering practical problems and the multiple influences of construction operation and maintenance cost input, full-life-cycle profit consideration and ecological environment factors, the performance and safety of the system are difficult to achieve the expected target are solved.

Description

Technical Field

[0001] This application relates to the field of energy storage system design technology, and in particular to a whole-process optimization design method for a deep salt cavern compressed air energy storage system. Background Technology

[0002] Currently, the contradiction between energy supply and demand and environmental pollution have become global challenges. Ensuring energy supply security and clean, green development have become important components of the energy strategies of many countries. Against this backdrop, renewable energy has developed rapidly; however, the inherent intermittency of renewable energy makes its integration difficult, resulting in severe wind and solar curtailment and significant investment waste. Advanced large-scale energy storage technologies can realize the spatiotemporal transfer of energy, smoothing the volatility of new energy sources, thereby providing support for solving the problem of wind and solar curtailment and for peak shaving and valley filling of the power grid and the clean transformation of the energy structure. Among these technologies, CAES (Compressed Air Energy Storage) has become one of the most promising development directions in the field of large-scale energy storage due to its large storage capacity, reliable technology, and long operating life. Salt cavern gas storage, as an excellent large-scale gas storage method, can be fully integrated with compressed air energy storage systems to solve the large-capacity gas storage problem of large-scale compressed air energy storage power plants.

[0003] In related technologies, surplus electricity is used during off-peak hours to drive a compressor to compress air to a high-pressure state, which is then stored in deep salt caverns. During peak hours, the high-pressure air is released to drive an expander that powers a generator, achieving efficient energy transfer and utilization. The airtightness and stability of the underground salt caverns enable long-term storage of the high-pressure air. Some systems employ a non-combustion-assisted design, recovering compression heat to improve energy conversion efficiency and reduce fossil fuel consumption and carbon emissions.

[0004] However, due to geological limitations, there are practical engineering challenges in related technologies. The economic factors such as construction and operation costs and profitability throughout the entire life cycle have not been fully considered, resulting in long investment return cycles and insufficient economic efficiency. Furthermore, the assessment and control measures for the impact on the ecological environment are inadequate, which may lead to environmental risks. Consequently, the overall performance, safety, and economic efficiency of the system are difficult to achieve the expected goals, and improvements are urgently needed. Summary of the Invention

[0005] This application provides a whole-process optimization design method for deep salt cavern compressed air energy storage systems to solve the problems in related technologies, such as the difficulty in achieving the expected performance, safety and economy of deep salt cavern compressed air energy storage systems due to geological conditions and practical engineering challenges, as well as the multiple influences of construction and operation costs, life cycle profitability considerations and ecological environment factors.

[0006] The first aspect of this application provides a full-process optimization design method for a deep salt cavern compressed air energy storage system, comprising the following steps: determining the type of gas storage facility for the compressed air energy storage (CAES) system based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, thereby determining the gas storage facility parameters; determining the temperature route selection of the CAES system based on the operating characteristics of the heat exchange system's heat storage medium; configuring relevant parameters of the turbine subsystem according to the gas storage facility parameters and the temperature route selection, thereby determining the turbine subsystem configuration parameters; and configuring the operating parameters of each component of the CAES compression subsystem accordingly based on the turbine subsystem configuration parameters, thereby determining the overall configuration of the compressed air energy storage system.

[0007] Through the aforementioned technical means, this application embodiment can determine the selection of a CAES system gas storage facility by analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities. It can also determine the temperature route selection for the CAES system by analyzing the operating characteristics of the heat exchange medium. Based on the selected gas storage facility parameters and temperature route selection, it configures the relevant parameters of the CAES turbine subsystem. Based on the configuration parameters of the turbine subsystem, it configures the corresponding operating parameters of the CAES compression subsystem, achieving the overall configuration of the compressed air energy storage system. Through systematic parameter linkage configuration, the performance of each component of the system is fully utilized, effectively avoiding system performance fluctuations caused by geological constraints and ecological environment impacts. This ensures that the operating performance and safety of the deep salt cavern compressed air energy storage system meet the preset goals, thereby achieving optimal overall performance from the system design source. This lays a crucial theoretical and engineering foundation for constructing an efficient and stable deep salt cavern compressed air energy storage system.

[0008] Optionally, in one embodiment of this application, determining the temperature route selection of the CAES system based on the operating characteristics of the heat storage medium of the heat exchange system includes: analyzing the operating characteristics of the compressor / turbine system when the compression ratio and expansion ratio are large; determining the matching temperature range according to the operating characteristics; and selecting a heat transfer medium type suitable for the temperature range.

[0009] Through the aforementioned technical means, the embodiments of this application can accurately match the corresponding temperature range based on the operating characteristics of the compressor / turbine and select a suitable heat transfer medium, thereby achieving a precise match between the requirements of the thermal system and the physicochemical properties of the heat storage medium. This avoids problems such as decreased heat exchange efficiency, increased equipment thermal stress, or limited system operating range caused by mismatch between temperature range and medium type, thus improving the system's operating efficiency and safety margin.

[0010] Optionally, in one embodiment of this application, configuring relevant parameters of the turbine subsystem based on the gas storage parameters and the temperature route selection to determine the configuration parameters of the turbine subsystem includes: designing the turbine stage number and expansion ratio based on the gas storage parameters, the temperature route selection, and the target heat transfer medium generation operating parameters to determine the first isentropic efficiency of the turbine at different expansion ratios and air temperatures; and determining the configuration parameters of the turbine subsystem based on the first isentropic efficiency.

[0011] Through the above-mentioned technical means, the embodiments of this application can generate working parameter design based on gas storage parameters and temperature route selection to accurately determine the number of turbine stages and expansion ratio, and calculate the first isentropic efficiency to determine the configuration parameters of the turbine subsystem. This achieves deep collaboration between the turbine subsystem, the gas storage, and the heat exchange system, ensuring that the turbine can maintain a high-efficiency operating state under different expansion ratios and air temperature conditions, effectively improving the energy output efficiency of the turbine, and enhancing the operational stability of the system.

[0012] Optionally, in one embodiment of this application, configuring the operating parameters of the CAES compression subsystem according to the configuration parameters of the turbine subsystem to determine the overall configuration of the compressed air energy storage system includes: determining the air mass flow rate value of the compression subsystem according to the configuration parameters of the turbine subsystem; and determining the overall configuration of the compressed air energy storage system based on the air mass flow rate value.

[0013] Through the above-mentioned technical means, the embodiments of this application can use the configuration parameters of the turbine subsystem as a benchmark to deduce the air mass flow rate of the compression subsystem in reverse and determine the overall configuration, thereby establishing the flow linkage relationship between the turbine subsystem and the compression subsystem, ensuring the air flow balance between the energy release stage and the energy storage stage, avoiding the increase in system energy consumption or energy waste caused by flow mismatch, and realizing the efficient connection between energy storage and energy release processes.

[0014] Optionally, in one embodiment of this application, determining the overall configuration of the compressed air energy storage system based on the air mass flow rate value includes: determining the number of compressor stages and compression ratio according to the requirement that the heat of compression is greater than the heat of discharge, while considering the limitation of excessively high outlet temperature of the final stage compressor, and taking into account the performance of the heat exchanger, determining that the compressor outlet air temperature is lower than the highest temperature of the heat transfer medium, so as to determine the second isentropic efficiency of the compressor at different compression ratios and inlet air temperatures; and determining the overall configuration of the compressed air energy storage system based on the second isentropic efficiency.

[0015] Through the aforementioned technical means, the embodiments of this application can comprehensively consider multiple factors such as compression heat balance, final stage compressor outlet temperature limit, and heat exchanger performance to accurately determine the number of compressor stages, compression ratio, and second isentropic efficiency. This ensures the efficient and safe operation of the compression subsystem itself. Furthermore, through precise thermal management design, it ensures that the compressor's compression heat meets the heat consumption requirements of the discharge stage, avoiding the risk of equipment overheating and damage. At the same time, it achieves performance matching between the compressor and the heat exchanger, improves the energy utilization rate of the compression process, and further ensures the overall efficiency and safety of the system operation.

[0016] A second aspect of this application provides a device for the full-process optimization design of a deep salt cavern compressed air energy storage system, comprising: a first determining module, used to determine the selection of a gas storage unit for the compressed air energy storage (CAES) system based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage units, thereby determining the gas storage unit parameters; a second determining module, used to determine the temperature route selection of the CAES system based on the operating characteristics of the heat storage medium in the heat exchange system; a first configuration module, used to configure relevant parameters of the turbine subsystem according to the gas storage unit parameters and the temperature route selection, thereby determining the configuration parameters of the turbine subsystem; and a second configuration module, used to configure the operating parameters of each component of the CAES compression subsystem according to the configuration parameters of the turbine subsystem, thereby determining the overall configuration of the compressed air energy storage system.

[0017] Through the aforementioned technical means, this application embodiment can determine the selection of a CAES system gas storage facility by analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities. It can also determine the temperature route selection for the CAES system by analyzing the operating characteristics of the heat exchange medium. Based on the selected gas storage facility parameters and temperature route selection, it configures the relevant parameters of the CAES turbine subsystem. Based on the configuration parameters of the turbine subsystem, it configures the corresponding operating parameters of the CAES compression subsystem, achieving the overall configuration of the compressed air energy storage system. Through systematic parameter linkage configuration, the performance of each component of the system is fully utilized, effectively avoiding system performance fluctuations caused by geological constraints and ecological environment impacts. This ensures that the operating performance and safety of the deep salt cavern compressed air energy storage system meet the preset goals, thereby achieving optimal overall performance from the system design source. This lays a crucial theoretical and engineering foundation for constructing an efficient and stable deep salt cavern compressed air energy storage system.

[0018] Optionally, in one embodiment of this application, the second determining module includes: an analysis unit for analyzing the operating characteristics of the compressor / turbine system when the compression ratio and expansion ratio are large; and a selection unit for determining a matching temperature range based on the operating characteristics and selecting a heat transfer medium type suitable for the temperature range.

[0019] Through the aforementioned technical means, the embodiments of this application can accurately match the corresponding temperature range based on the operating characteristics of the compressor / turbine and select a suitable heat transfer medium, thereby achieving a precise match between the requirements of the thermal system and the physicochemical properties of the heat storage medium. This avoids problems such as decreased heat exchange efficiency, increased equipment thermal stress, or limited system operating range caused by mismatch between temperature range and medium type, thus improving the system's operating efficiency and safety margin.

[0020] Optionally, in one embodiment of this application, the first configuration module includes: a generation unit, configured to determine the number of turbine stages and expansion ratio based on the gas storage parameters, the temperature route selection, and the target heat transfer medium generation working parameters, so as to determine the first isentropic efficiency of the turbine at different expansion ratios and air temperatures; and a parameter determination unit, configured to determine the configuration parameters of the turbine subsystem based on the first isentropic efficiency.

[0021] Through the above-mentioned technical means, the embodiments of this application can generate working parameter design based on gas storage parameters and temperature route selection to accurately determine the number of turbine stages and expansion ratio, and calculate the first isentropic efficiency to determine the configuration parameters of the turbine subsystem. This achieves deep collaboration between the turbine subsystem, the gas storage, and the heat exchange system, ensuring that the turbine can maintain a high-efficiency operating state under different expansion ratios and air temperature conditions, effectively improving the energy output efficiency of the turbine, and enhancing the operational stability of the system.

[0022] Optionally, in one embodiment of this application, the second configuration module includes: a value determination unit, configured to determine the air mass flow rate value of the compression subsystem based on the configuration parameters of the turbine subsystem; and a configuration determination unit, configured to determine the overall configuration of the compressed air energy storage system based on the air mass flow rate value.

[0023] Through the above-mentioned technical means, the embodiments of this application can use the configuration parameters of the turbine subsystem as a benchmark to deduce the air mass flow rate of the compression subsystem in reverse and determine the overall configuration, thereby establishing the flow linkage relationship between the turbine subsystem and the compression subsystem, ensuring the air flow balance between the energy release stage and the energy storage stage, avoiding the increase in system energy consumption or energy waste caused by flow mismatch, and realizing the efficient connection between energy storage and energy release processes.

[0024] Optionally, in one embodiment of this application, the configuration determination unit includes: a first determination subunit, used to determine the number of compressor stages and compression ratio based on the requirement that the heat of compression is greater than the heat of discharge, while considering the limitation of excessively high outlet temperature of the final stage compressor and taking into account the performance of the heat exchanger, to determine that the outlet air temperature of the compressor is lower than the highest temperature of the heat transfer medium, so as to determine the second isentropic efficiency of the compressor at different compression ratios and inlet air temperatures; and a second determination subunit, used to determine the overall configuration of the compressed air energy storage system based on the second isentropic efficiency.

[0025] Through the aforementioned technical means, the embodiments of this application can comprehensively consider multiple factors such as compression heat balance, final stage compressor outlet temperature limit, and heat exchanger performance to accurately determine the number of compressor stages, compression ratio, and second isentropic efficiency. This ensures the efficient and safe operation of the compression subsystem itself. Furthermore, through precise thermal management design, it ensures that the compressor's compression heat meets the heat consumption requirements of the discharge stage, avoiding the risk of equipment overheating and damage. At the same time, it achieves performance matching between the compressor and the heat exchanger, improves the energy utilization rate of the compression process, and further ensures the overall efficiency and safety of the system operation.

[0026] A third 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. The processor executes the program to implement the full-process optimization design method for a deep salt cavern compressed air energy storage system as described in the above embodiments.

[0027] A fourth aspect of this application provides a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described full-process optimization design method for a deep salt cavern compressed air energy storage system.

[0028] A fifth aspect of this application provides a computer program product that stores a computer program that, when executed by a processor, implements the above-described full-process optimization design method for a deep salt cavern compressed air energy storage system.

[0029] This application's embodiments determine the selection of a CAES (Compressed Air Storage System) gas storage facility by analyzing the characteristics, advantages, construction costs, and operational characteristics of different types of gas storage facilities. It also analyzes the operating characteristics of the heat exchange medium in the heat exchange system to determine the temperature route selection for the CAES system. Based on the selected gas storage facility parameters and temperature route selection, it configures the relevant parameters of the CAES turbine subsystem. Based on the turbine subsystem's configuration parameters, it correspondingly configures the operating parameters of each CAES compression subsystem, achieving overall configuration of the compressed air energy storage system. Through systematic parameter linkage configuration, the performance of each component of the system is fully utilized, effectively avoiding system performance fluctuations caused by geological constraints and ecological environmental impacts. This ensures that the operational performance and safety of the deep salt cavern compressed air energy storage system meet preset targets, thereby achieving synergistic optimization of overall performance from the system design stage. This lays a crucial theoretical and engineering foundation for constructing an efficient and stable deep salt cavern compressed air energy storage system. Therefore, it solves the problems in related technologies where the performance, safety, and economy of deep salt cavern compressed air energy storage systems fail to meet expected goals due to geological conditions, practical engineering challenges, and the multiple influences of construction and operation costs, life-cycle profitability considerations, and ecological environmental factors.

[0030] 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

[0031] 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: Figure 1 This is a flowchart illustrating a full-process optimization design method for a deep salt cavern compressed air energy storage system according to an embodiment of this application. Figure 2 This is a flowchart of a full-process optimization design method for a deep salt cavern compressed air energy storage system according to an embodiment of this application; Figure 3 This is a schematic diagram of a device for optimizing the entire process of a deep salt cavern compressed air energy storage system according to an embodiment of this application. Figure 4 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application.

[0032] Figure label: 100 - First determining module, 200 - Second determining module, 300 - First configuration module, 400 - Second configuration module; 401 - Memory, 402 - Processor, 403 - Communication interface. Detailed Implementation

[0033] 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.

[0034] The following describes a full-process optimization design method for a deep salt cavern compressed air energy storage system according to embodiments of this application, with reference to the accompanying drawings. Addressing the issue mentioned in the background art where, due to geological conditions and practical engineering challenges, and influenced by multiple factors including construction and operation costs, life-cycle profitability considerations, and ecological environmental factors, the performance, safety, and economy of deep salt cavern compressed air energy storage systems often fail to meet expectations, this application provides a full-process optimization design method for a deep salt cavern compressed air energy storage system. This method involves analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities to determine the selection of the CAES system gas storage facility; analyzing the operating characteristics of the heat exchange system's heat storage medium to determine the selection of the CAES system's temperature route; and based on the selected... The selection of gas storage parameters and temperature routes, configuration of relevant parameters for the CAES turbine subsystem, and corresponding configuration of operating parameters for each component of the CAES compression subsystem based on the turbine subsystem's configuration parameters, achieve overall configuration of the compressed air energy storage system. Through systematic parameter linkage configuration, the performance of each component is fully utilized, effectively mitigating system performance fluctuations caused by geological constraints and ecological environmental impacts. This ensures that the operational performance and safety of the deep salt cavern compressed air energy storage system meet preset targets, achieving synergistic optimization of overall performance from the system design stage. This lays a crucial theoretical and engineering foundation for constructing efficient and stable deep salt cavern compressed air energy storage systems. This addresses the problems in related technologies where geological conditions and practical engineering challenges, coupled with the multiple influences of construction and operation costs, life-cycle profitability considerations, and ecological environmental factors, prevent the performance, safety, and economy of deep salt cavern compressed air energy storage systems from achieving expected goals.

[0035] Specifically, Figure 1 This is a flowchart illustrating a full-process optimization design method for a deep salt cavern compressed air energy storage system provided in an embodiment of this application.

[0036] like Figure 1 As shown, the whole-process optimization design method of this deep salt cavern compressed air energy storage system includes the following steps: In step S101, based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, the selection of the gas storage facility for the Compressed Air Energy Storage (CAES) system is determined to determine the gas storage facility parameters.

[0037] It is understood that the different types of gas storage facilities in the embodiments of this application can be natural salt caverns, artificial chambers, and pipeline steel structures. In practical implementation, the embodiments of this application can determine the selection of gas storage for a compressed air energy storage (CAES) system based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, thereby determining the gas storage parameters. Onshore compressed air energy storage systems generally have three main forms: natural salt caverns, artificial chambers, and pipeline steel. Geological conditions, capacity and pressure requirements, economic viability, technological maturity, and environmental impact are the core considerations for gas storage facility selection. The maximum operating pressure of natural salt caverns is determined by actual geological conditions, while the maximum operating pressure of artificial chambers and pipeline steel is determined based on actual project requirements and construction costs. By analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, the selection of the gas storage facility can be determined.

[0038] For example, the embodiments of this application can determine the selection of gas storage for a CAES system. Gas storage for onshore compressed air energy storage systems generally takes three main forms: natural salt caverns, artificial chambers, and pipeline steel. Among these, geological conditions, capacity and pressure requirements, economic efficiency, technological maturity, and environmental impact are the core considerations for gas storage selection. The maximum working pressure of natural salt caverns is determined by actual geological conditions, while the maximum working pressure of artificial chambers and pipeline steel is determined based on actual project needs and construction costs. The pressure control range of these three types shows a positive correlation with the maximum working pressure of the gas storage facility. The distribution of natural salt caverns is subject to uncontrollable factors, and their internal pressure-bearing and impermeability capabilities are also random. Once exploration confirms their gas storage capacity, they can be considered the optimal solution for gas storage facility selection. For artificial chambers, the cost of artificial development is the primary consideration. Based on their flexible site selection advantage, excavation work can proceed after the geological conditions are confirmed to be stable through on-site surveys. The pressure-bearing capacity of pipeline steel gas storage facilities is positively correlated with pipe wall thickness. The construction cost of the gas storage facility depends on its working pressure. Further construction work is carried out after comprehensively considering its placement space and impact on the surrounding environment. By analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, the selection of the gas storage facility type is determined.

[0039] This application embodiment can achieve compatibility between the gas storage facility and the CAES system through multi-dimensional selection analysis and precise parameter determination, avoiding system performance limitations or safety risks caused by improper gas storage facility selection. At the same time, it can effectively control construction and operation and maintenance costs, ensure long-term stable operation of the system, and provide a reliable basis for subsequent subsystem parameter configuration.

[0040] In step S102, the temperature route selection for the CAES system is determined based on the operating characteristics of the heat storage medium in the heat exchange system.

[0041] It is understood that the temperature path in the embodiments of this application can be understood as the overall scheme of air temperature change path and heat recovery and utilization during the energy storage and release process of the CAES system.

[0042] In practical implementation, the embodiments of this application can determine the temperature route selection of the CAES system based on the operating characteristics of the heat storage medium in the heat exchange system. During the operation of the CAES system, the heat storage medium must meet core functions such as efficient storage of compression heat, matching thermodynamic cycles, and long-term stability. By analyzing the operating characteristics of the compressor / turbine system under different compression and expansion ratios, the matching temperature range can be determined and a suitable heat transfer medium type can be selected, thus determining the temperature route selection of the CAES system.

[0043] The embodiments of this application can determine the optimal temperature path by accurately matching the characteristics of the heat storage medium with the system operating conditions, thereby improving the system circulation efficiency, reducing energy loss, and avoiding equipment overheating or low heat exchange efficiency caused by improper temperature adaptation, thus providing thermodynamic support for improving the overall energy efficiency of the system.

[0044] Optionally, in one embodiment of this application, the temperature route selection of the CAES system is determined based on the operating characteristics of the heat storage medium in the heat exchange system, including: analyzing the operating characteristics of the compressor / turbine system when the compression ratio and expansion ratio are large; determining the matching temperature range according to the operating characteristics; and selecting the heat transfer medium type suitable for the temperature range.

[0045] It is understood that, in the embodiments of this application, the compression ratio can be understood as the ratio of the compressor outlet air pressure to the inlet pressure, which is a core parameter used to determine the compressor's operating temperature and power consumption; the expansion ratio can be understood as the ratio of the turbine inlet air pressure to the outlet pressure, which can affect the turbine outlet temperature and output power; the heat transfer medium can be understood as the carrier used to transfer heat in the heat exchange system, and its temperature adaptability can affect the heat transfer efficiency and the temperature adaptability of equipment safety.

[0046] In practical implementation, the embodiments of this application can determine the temperature route selection for the heat exchange system of a CAES system. Compressed air energy storage systems (CAES) generally categorize their heat storage media into low-temperature, medium-temperature, and high-temperature routes based on temperature range. During CAES system operation, the heat storage medium must meet core functions such as efficient storage of compression heat, matching thermodynamic cycles, and long-term stability. The low-temperature route is suitable for compressor / turbine systems with small compression / expansion ratios, while also considering multi-stage configurations or reducing interstage compression / expansion ratios to handle high gas pressure conditions. The medium-temperature route is suitable for compressor / turbine systems with common compression / expansion ratios, and the high-temperature route is suitable for compressor / turbine systems with large compression / expansion ratios under high gas pressure conditions. By analyzing the operating characteristics of the compressor / turbine system at different compression and expansion ratios, the matching temperature range is determined, and a suitable heat transfer medium type is selected.

[0047] This application's embodiments can precisely match the corresponding temperature range based on the operating characteristics of the compressor / turbine and select a suitable heat transfer medium, thereby achieving a precise match between the requirements of the thermal system and the physicochemical properties of the heat storage medium. This avoids problems such as decreased heat exchange efficiency, increased equipment thermal stress, or limited system operating range caused by mismatch between temperature range and medium type, thus improving the system's operating efficiency and safety margin.

[0048] In step S103, based on the gas storage parameters and temperature route selection, the relevant parameters of the turbine subsystem are configured to determine the configuration parameters of the turbine subsystem.

[0049] It is understood that the turbine subsystem in this application embodiment can be understood as the core energy conversion unit of the CAES system energy release stage. It can be composed of a turbine, a generator and auxiliary transmission components. It can convert the internal energy of high-pressure air into mechanical energy, thereby driving the generator to generate electricity. The turbine subsystem configuration parameters can be understood as key indicators to ensure the efficient and safe operation of the turbine subsystem. They can include the number of turbine stages, design expansion ratio, inlet temperature / pressure range, rated power, isentropic efficiency target, etc.

[0050] In actual implementation, the embodiments of this application can design working parameters and determine the number of turbine stages and expansion ratio based on the established parameter information, temperature route and heat transfer medium selection corresponding to the gas storage tank; and determine the isentropic efficiency of the turbine under different expansion ratios and air temperatures based on engineering experience, thereby completing the turbine subsystem parameter configuration.

[0051] The embodiments of this application can determine the configuration parameters of the turbine subsystem by using the gas storage tank and temperature route parameters, ensuring that the turbine can maintain efficient energy conversion under different operating conditions, avoiding insufficient power output or equipment overload problems caused by parameter mismatch, and improving the stability and energy efficiency of the system during the energy release phase.

[0052] Optionally, in one embodiment of this application, the turbine subsystem parameters are configured according to the gas storage parameters and temperature route selection to determine the configuration parameters of the turbine subsystem, including: designing the turbine stage number and expansion ratio according to the gas storage parameters, temperature route selection and target heat transfer medium generation operating parameters to determine the first isentropic efficiency of the turbine at different expansion ratios and air temperatures; and determining the configuration parameters of the turbine subsystem according to the first isentropic efficiency.

[0053] It is understood that the number of turbine stages in the embodiments of this application can be understood as the number of impeller stages arranged along the airflow direction inside the turbine. The more stages there are, the more gradually the energy of the high-pressure air can be released, and the higher the operating efficiency. The first isentropic efficiency can be understood as the ratio of the actual output power of the turbine to the output power of the ideal isentropic process, which is used to reflect the energy efficiency level of the turbine subsystem.

[0054] For example, in this embodiment of the application, the operating parameters of the turbine subsystem can be designed and the number of turbine stages and expansion ratio can be determined based on the determined parameters such as the volume and pressure operating range of the gas storage tank, the temperature route, and the selection of the heat transfer medium. According to the performance of the heat exchanger, it can be determined that the inlet air temperature of the turbine is lower than the highest temperature of the heat transfer medium. At the same time, considering the limiting factor of the expansion ratio of the turbine subsystem on the temperature difference between its inlet and outlet air, the first isentropic efficiency of the turbine under different expansion ratios and air temperatures can be determined based on engineering experience. The turbine subsystem parameter configuration is completed, and the cold and hot fluid outlet temperature parameters of the turbine stage heat exchanger are configured accordingly.

[0055] The embodiments of this application can generate working parameter design based on gas storage parameters and temperature route selection to accurately determine the number of turbine stages and expansion ratio, and calculate the first isentropic efficiency to determine the configuration parameters of the turbine subsystem. This achieves deep collaboration between the turbine subsystem, the gas storage, and the heat exchange system, ensuring that the turbine can maintain a high-efficiency operating state under different expansion ratios and air temperature conditions, effectively improving the energy output efficiency of the turbine, and enhancing the operational stability of the system.

[0056] In step S104, the operating parameters of the CAES compression subsystem are configured according to the configuration parameters of the turbine subsystem to determine the overall configuration of the compressed air energy storage system.

[0057] It is understood that the compression subsystem in this application embodiment can be understood as the core unit of the energy storage stage of the CAES system. It can be composed of a compressor, a drive motor and auxiliary cooling components, and is used to consume surplus electrical energy to compress room temperature and pressure air into high pressure air to complete energy storage. The operating parameters of the compression subsystem can be understood as key indicators to ensure the efficient and safe operation of the compressor, including the number of compressor stages, total compression ratio, rated exhaust flow, outlet temperature, motor power, etc.

[0058] In actual implementation, the embodiments of this application can configure the operating parameters of the CAES compression subsystem according to the configuration parameters of the turbine subsystem to determine the overall configuration of the compressed air energy storage system. Specifically, based on the determined turbine subsystem configuration parameters, the air mass flow rate of the compression subsystem is selected; the number of compressor stages and compression ratio are determined according to the requirement that the heat of compression is greater than the heat of discharge; and the isentropic efficiency of the compressor at different compression ratios and inlet air temperatures is determined considering the outlet temperature limit of the final stage compressor and engineering experience, thus completing the configuration of the compression subsystem parameters.

[0059] This application embodiment can achieve energy balance and efficient connection between the energy storage and release processes by configuring the parameters of the turbine subsystem and the compression subsystem in a coordinated manner. This avoids energy waste or uneven equipment load caused by parameter mismatch, ensures the optimal performance of the overall system, and provides a complete design solution for building an efficient and stable CAES system.

[0060] Optionally, in one embodiment of this application, the CAES compression subsystem's operating parameters are configured according to the turbine subsystem's configuration parameters to determine the overall configuration of the compressed air energy storage system, including: determining the air mass flow rate of the compression subsystem based on the turbine subsystem's configuration parameters; and determining the overall configuration of the compressed air energy storage system based on the air mass flow rate.

[0061] It is understood that the air mass flow rate in the embodiments of this application can be understood as the air mass passing through the compressor or turbine per unit time, which can affect the power scale and energy balance of the system.

[0062] In actual implementation, the embodiments of this application can select the air mass flow rate value of the compression subsystem based on the determined turbine subsystem configuration parameters, complete the configuration of the compression subsystem parameters based on the air mass flow rate value, and simultaneously configure the cold and hot fluid outlet temperature parameters of the heat exchanger in the compression stage.

[0063] The embodiments of this application can use the configuration parameters of the turbine subsystem as a benchmark to deduce the air mass flow rate of the compression subsystem and determine the overall configuration, thereby establishing a flow linkage relationship between the turbine subsystem and the compression subsystem, ensuring the balance of air flow between the energy release stage and the energy storage stage, avoiding increased system energy consumption or energy waste due to flow mismatch, and realizing efficient connection between energy storage and energy release processes.

[0064] Optionally, in one embodiment of this application, the overall configuration of the compressed air energy storage system is determined based on the air mass flow rate value, including: determining the number of compressor stages and compression ratio according to the requirement that the heat of compression is greater than the heat of discharge, while considering the limitation of excessively high outlet temperature of the final stage compressor, and taking into account the performance of the heat exchanger, determining that the compressor outlet air temperature is lower than the highest temperature of the heat transfer medium, so as to determine the second isentropic efficiency of the compressor at different compression ratios and inlet air temperatures; and determining the overall configuration of the compressed air energy storage system based on the second isentropic efficiency.

[0065] It is understood that the heat of compression in the embodiments of this application can be understood as the heat generated by the collision of molecules doing work during the compression process of air, which can be a secondary energy source that can be recycled by the CAES system; the second isentropic efficiency can be understood as the ratio of the actual work consumed by the compressor to the work consumed in the ideal isentropic process.

[0066] For example, in the embodiments of this application, the number of compressor stages and compression ratio can be determined based on the requirement that the heat of compression is greater than the heat of discharge. At the same time, considering the limitation of excessively high outlet temperature of the final stage compressor and taking into account the performance of the heat exchanger, it can be determined that the outlet air temperature of the compressor is lower than the highest temperature of the heat transfer medium. Furthermore, based on engineering experience, the isentropic efficiency of the compressor at different compression ratios and inlet air temperatures is determined, and the parameter configuration of the compression subsystem is completed.

[0067] This application embodiment comprehensively considers multiple factors such as compression heat balance, final stage compressor outlet temperature limit, and heat exchanger performance to accurately determine the number of compressor stages, compression ratio, and second isentropic efficiency. This ensures the efficient and safe operation of the compression subsystem itself. Furthermore, through precise thermal management design, it ensures that the compressor's compression heat meets the heat consumption requirements of the discharge stage, avoiding the risk of equipment overheating and damage. At the same time, it achieves performance matching between the compressor and the heat exchanger, improves the energy utilization rate of the compression process, and further ensures the overall efficiency and safety of the system operation.

[0068] Specifically, it can be combined with Figure 2 As shown, a specific embodiment is used to illustrate in detail the working principle of the full-process optimization design method for the deep salt cavern compressed air energy storage system in this application.

[0069] like Figure 2As shown, this application embodiment can determine the selection of a CAES system gas storage facility by analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities. Furthermore, it analyzes the operating characteristics of the heat exchange system's heat storage medium and, combined with the operating characteristics of the compressor / turbine system at different compression / expansion ratios, determines the CAES system temperature route selection. Based on the selected gas storage facility parameters and temperature route selection, and considering gas balance, heat balance, efficiency indicators, and power indicators, it configures the relevant parameters of the CAES turbine subsystem. Based on the turbine subsystem's configuration parameters, and considering gas balance, heat balance, power indicators, and efficiency indicators, it configures the corresponding operating parameters of the CAES compression subsystem to achieve the overall configuration of the compressed air energy storage system, forming a full-process optimization design method for deep salt cavern compressed air energy storage systems.

[0070] The full-process optimization design method for deep salt cavern compressed air energy storage systems proposed in this application can determine the selection of a CAES system gas storage facility by analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities. It can also determine the temperature route selection for the CAES system by analyzing the operating characteristics of the heat exchange medium. Based on the selected gas storage facility parameters and temperature route selection, relevant parameters of the CAES turbine subsystem are configured. Furthermore, based on the turbine subsystem's configuration parameters, the corresponding operating parameters of the CAES compression subsystem are configured, achieving overall configuration of the compressed air energy storage system. Through systematic parameter linkage configuration, the performance of each component of the system is fully utilized, effectively avoiding system performance fluctuations caused by geological constraints and ecological environment impacts. This ensures that the operational performance and safety of the deep salt cavern compressed air energy storage system meet preset targets, thereby achieving synergistic optimization of overall performance at the system design source. This lays a crucial theoretical and engineering foundation for constructing efficient and stable deep salt cavern compressed air energy storage systems. This solves the problem that, due to geological conditions and practical engineering challenges, as well as the multiple influences of construction and operation costs, life-cycle profitability considerations, and ecological and environmental factors, the performance, safety, and economy of deep salt cavern compressed air energy storage systems are difficult to achieve the expected goals.

[0071] Next, referring to the accompanying drawings, we describe the whole-process optimized design device for a deep salt cavern compressed air energy storage system according to the embodiments of this application.

[0072] Figure 3 This is a schematic diagram of the structure of the whole-process optimization design device for the deep salt cavern compressed air energy storage system according to an embodiment of this application.

[0073] like Figure 3 As shown, the deep salt cavern compressed air energy storage system full-process optimization design device 10 includes: a first determining module 100, a second determining module 200, a first configuration module 300, and a second configuration module 400.

[0074] The first determining module 100 is used to determine the selection of the compressed air energy storage (CAES) system gas storage based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, so as to determine the gas storage parameters.

[0075] The second determining module 200 is used to determine the temperature route selection of the CAES system based on the operating characteristics of the heat storage medium in the heat exchange system.

[0076] The first configuration module 300 is used to configure the relevant parameters of the turbine subsystem according to the gas storage parameters and temperature route selection, so as to determine the configuration parameters of the turbine subsystem.

[0077] The second configuration module 400 is used to configure the operating parameters of the CAES compression subsystem according to the configuration parameters of the turbine subsystem, so as to determine the overall configuration of the compressed air energy storage system.

[0078] Optionally, in one embodiment of this application, the second determining module 200 includes an analysis unit and a selection unit.

[0079] The analysis unit is used to analyze the operating characteristics of the compressor / turbine system when the compression ratio and expansion ratio are large.

[0080] The selection unit is used to determine the matching temperature range based on the operating characteristics and to select the type of heat transfer medium suitable for the temperature range.

[0081] Optionally, in one embodiment of this application, the first configuration module 300 includes a generation unit and a parameter determination unit.

[0082] The generation unit is used to design the turbine stage and expansion ratio based on the gas storage parameters, temperature route selection, and target heat transfer medium generation parameters, so as to determine the first isentropic efficiency of the turbine under different expansion ratios and air temperatures.

[0083] The parameter determination unit is used to determine the configuration parameters of the turbine subsystem based on the first isentropic efficiency.

[0084] Optionally, in one embodiment of this application, the second configuration module 400 includes a value determination unit and a configuration determination unit.

[0085] The numerical determination unit is used to determine the air mass flow rate of the compression subsystem based on the configuration parameters of the turbine subsystem.

[0086] The configuration determination unit is used to determine the overall configuration of the compressed air energy storage system based on the air mass flow rate value.

[0087] Optionally, in one embodiment of this application, the configuration determining unit includes: a first determining subunit and a second determining subunit.

[0088] The first determining subunit is used to determine the number of compressor stages and compression ratio based on the requirement that the heat of compression is greater than the heat of discharge. At the same time, considering the limitation of excessively high outlet temperature of the final stage compressor and taking into account the performance of the heat exchanger, it is determined that the outlet air temperature of the compressor is lower than the highest temperature of the heat transfer medium, so as to determine the second isentropic efficiency of the compressor under different compression ratios and inlet air temperatures.

[0089] The second determining subunit is used to determine the overall configuration of the compressed air energy storage system based on the second isentropic efficiency.

[0090] It should be noted that the explanation of the above-mentioned embodiment of the whole-process optimization design method for deep salt cavern compressed air energy storage system also applies to the whole-process optimization design device for deep salt cavern compressed air energy storage system in this embodiment, and will not be repeated here.

[0091] The deep salt cavern compressed air energy storage system full-process optimization design device proposed in this application can determine the selection of the CAES system gas storage by analyzing the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities. It can also determine the temperature route selection for the CAES system by analyzing the operating characteristics of the heat exchange medium. Based on the selected gas storage parameters and temperature route selection, it configures the relevant parameters of the CAES turbine subsystem. Based on the configuration parameters of the turbine subsystem, it configures the corresponding operating parameters of the CAES compression subsystem, achieving overall configuration of the compressed air energy storage system. Through systematic parameter linkage configuration, the performance of each component of the system is fully utilized, effectively avoiding system performance fluctuations caused by geological constraints and ecological environment impacts. This ensures that the operating performance and safety of the deep salt cavern compressed air energy storage system meet the preset goals, thereby achieving synergistic optimization of overall performance at the source of system design. This lays a key theoretical and engineering foundation for constructing an efficient and stable deep salt cavern compressed air energy storage system. This solves the problem that, due to geological conditions and practical engineering challenges, as well as the multiple influences of construction and operation costs, life-cycle profitability considerations, and ecological and environmental factors, the performance, safety, and economy of deep salt cavern compressed air energy storage systems are difficult to achieve the expected goals.

[0092] Figure 4 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 401, the processor 402, and the computer program stored on the memory 401 and capable of running on the processor 402.

[0093] When the processor 402 executes the program, it implements the full-process optimization design method for the deep salt cavern compressed air energy storage system provided in the above embodiments.

[0094] Furthermore, electronic devices also include: Communication interface 403 is used for communication between memory 401 and processor 402.

[0095] The memory 401 is used to store computer programs that can run on the processor 402.

[0096] Memory 401 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0097] 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 Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be categorized into address buses, data buses, control buses, 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.

[0098] 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.

[0099] Processor 402 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0100] This application also provides a non-volatile computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described full-process optimization design method for a deep salt cavern compressed air energy storage system.

[0101] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the above-described full-process optimization design method for a deep salt cavern compressed air energy storage system.

[0102] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is 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.

[0103] 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.

[0104] 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 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.

[0105] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0106] 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. If implemented in hardware, as in another embodiment, it can be implemented using any one or more 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 (PGAs), field-programmable gate arrays (FPGAs), etc.

[0107] Those skilled in the art will understand that all or part of the steps of the methods described 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, it includes one or a combination of the steps of the method embodiments.

[0108] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0109] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for full-process optimization design of a deep salt cavern compressed air energy storage system, characterized in that, Includes the following steps: Based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, the selection of gas storage facilities for the Compressed Air Energy Storage (CAES) system is determined to determine the gas storage facility parameters. Based on the operating characteristics of the heat storage medium in the heat exchange system, the temperature route selection of the CAES system is determined; Based on the gas storage parameters and the temperature route selection, configure the relevant parameters of the turbine subsystem to determine the configuration parameters of the turbine subsystem; as well as Configure the operating parameters of the CAES compression subsystem accordingly based on the configuration parameters of the turbine subsystem to determine the overall configuration of the compressed air energy storage system.

2. The method according to claim 1, characterized in that, The determination of the temperature route selection for the CAES system based on the operating characteristics of the heat storage medium in the heat exchange system includes: Analyze the operating characteristics of the compressor / turbine system when the compression ratio and expansion ratio are large; Based on the operating characteristics, a matching temperature range is determined, and a heat transfer medium type suitable for the temperature range is selected.

3. The method according to claim 1, characterized in that, The step of configuring relevant parameters of the turbine subsystem based on the gas storage parameters and the temperature route selection to determine the configuration parameters of the turbine subsystem includes: Based on the gas storage parameters, the temperature route selection, and the target heat transfer medium generation working parameters, the number of turbine stages and the expansion ratio are determined to determine the first isentropic efficiency of the turbine under different expansion ratios and air temperatures. The configuration parameters of the turbine subsystem are determined based on the first isentropic efficiency.

4. The method according to claim 1, characterized in that, The step of configuring the operating parameters of the CAES compression subsystem according to the configuration parameters of the turbine subsystem to determine the overall configuration of the compressed air energy storage system includes: The air mass flow rate of the compression subsystem is determined based on the configuration parameters of the turbine subsystem. Based on the air mass flow rate value, the overall configuration of the compressed air energy storage system is determined.

5. The method according to claim 4, characterized in that, Determining the overall configuration of the compressed air energy storage system based on the air mass flow rate value includes: The number of compressor stages and compression ratio are determined based on the requirement that the heat of compression is greater than the heat of discharge. At the same time, considering the limitation of excessively high outlet temperature of the last stage compressor and the performance of the heat exchanger, the compressor outlet air temperature is determined to be lower than the maximum temperature of the heat transfer medium in order to determine the second isentropic efficiency of the compressor at different compression ratios and inlet air temperatures. The overall configuration of the compressed air energy storage system is determined based on the second isentropic efficiency.

6. A device for optimizing the entire process of a deep salt cavern compressed air energy storage system, characterized in that, include: The first determination module is used to determine the selection of compressed air energy storage (CAES) system gas storage based on the characteristics, advantages, construction costs, and operating characteristics of different types of gas storage facilities, so as to determine the gas storage parameters. The second determining module is used to determine the temperature route selection of the CAES system based on the operating characteristics of the heat storage medium in the heat exchange system. The first configuration module is used to configure the relevant parameters of the turbine subsystem according to the gas storage parameters and the temperature route selection, so as to determine the configuration parameters of the turbine subsystem; as well as The second configuration module is used to configure the operating parameters of the CAES compression subsystem according to the configuration parameters of the turbine subsystem, so as to determine the overall configuration of the compressed air energy storage system.

7. The apparatus according to claim 6, characterized in that, The second determining module includes: The analysis unit is used to analyze the operating characteristics of the compressor / turbine system when the compression ratio and expansion ratio are large or small. The selection unit is used to determine the matching temperature range based on the operating characteristics and to select the type of heat transfer medium suitable for the temperature range.

8. An electronic device, characterized in that, include: The memory, the processor, and the computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to implement the full-process optimization design method for a deep salt cavern compressed air energy storage system as described in any one of claims 1-5.

9. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the full-process optimization design method for deep salt cavern compressed air energy storage system as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the full-process optimization design method for the deep salt cavern compressed air energy storage system as described in any one of claims 1-5.

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