A method and device for selecting a technical scheme of a large-scale compressed air energy storage power station

Abstract

The application provides a large-scale compressed air energy storage power station technical scheme selection method and device, which is used for technical scheme selection of a large-scale compressed air energy storage power station, creates a novel comprehensive evaluation system, so that performance quantification and horizontal comparison and selection can be well performed between different application scenarios and different selectable schemes, and then accurate quantitative data support can be provided for project function analysis, investment calculation and economic evaluation of the compressed air energy storage project, so that resource mismatch can be effectively avoided, the scientific nature of power station construction decision is ensured, and the application prospect is better.

Description

Technical Field

[0001] This application relates to the field of compressed air energy storage, specifically to a method and apparatus for selecting a technical solution for a large-scale compressed air energy storage power station. Background Technology

[0002] Compressed-air energy storage (CAES) is gradually emerging in the field of clean energy storage due to its advantages of strong geological adaptability, clean and safe working fluid, advanced technology and continuous improvement in maturity.

[0003] With the continuous advancement of energy storage technology, compressed air energy storage has evolved from the traditional combustion method to more efficient and environmentally friendly options such as heat storage, insulation, liquid storage, isothermal storage, and constant pressure storage.

[0004] Although many scholars have conducted targeted research and evaluation on the different technical solutions for compressed air energy storage, the inventors of this application have found that a systematic comparative evaluation method for different technical solutions for compressed air energy storage has not yet been formed. This obviously makes it difficult to provide accurate quantitative data support for compressed air energy storage projects in terms of project function analysis, investment calculation, and economic evaluation. In practice, this limits the advancement of compressed air energy storage projects to a certain extent and may even lead to resource misallocation. Summary of the Invention

[0005] This application provides a method and apparatus for selecting technical solutions for large-scale compressed air energy storage power stations. It creates a novel comprehensive evaluation system for selecting technical solutions for large-scale compressed air energy storage power stations. This system can effectively quantify performance and make horizontal comparisons between different application scenarios and different optional solutions. It provides accurate quantitative data support for compressed air energy storage projects in terms of project function analysis, investment calculation, and economic evaluation. This can effectively avoid resource misallocation, ensure the scientific nature of power station construction decisions, and has good application prospects.

[0006] Firstly, this application provides a method for selecting a large-scale compressed air energy storage power station technology solution, the method including: For the target large-scale compressed air energy storage power station, determine the target application scenario corresponding to the current situation from the preset application scenario set; The target application scenario is matched with the evaluation index scheme to obtain the matching target evaluation index scheme. Under the target evaluation index scheme, the different scheme scores of different optional compressed air energy storage power station technologies corresponding to the target large-scale compressed air energy storage power station are calculated. The different optional compressed air energy storage power station technologies specifically include low temperature thermal storage scheme, medium temperature thermal storage scheme, high temperature thermal storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. Based on the different scheme scores of various optional compressed air energy storage power station technologies, the corresponding technical scheme selection evaluation results are output.

[0007] Secondly, this application provides a selection device for a large-scale compressed air energy storage power station technology solution, the device comprising: The determination unit is used to determine the target application scenario corresponding to the current situation from a set of preset application scenarios for the target large-scale compressed air energy storage power station. The matching unit is used to perform evaluation index scheme matching processing on the target application scenario to obtain the matched target evaluation index scheme. The calculation unit is used to calculate the different scheme scores of different optional compressed air energy storage power station technologies corresponding to the target large-scale compressed air energy storage power station under the target evaluation index scheme. The different optional compressed air energy storage power station technologies specifically include low temperature thermal storage scheme, medium temperature thermal storage scheme, high temperature thermal storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. The output unit is used to score different options for various compressed air energy storage power station technologies and output the corresponding technical solution selection evaluation results.

[0008] Thirdly, this application provides a processing device, including a processor and a memory, wherein a computer program is stored in the memory, and the processor executes the method provided in the first aspect of this application when it invokes the computer program in the memory.

[0009] Fourthly, this application provides a computer-readable storage medium storing a plurality of instructions adapted for loading by a processor to execute the method provided in the first aspect of this application.

[0010] From the above, it can be concluded that this application has the following beneficial effects: This application proposes a novel comprehensive evaluation system for the selection of technical solutions for large-scale compressed air energy storage power stations. This system can effectively quantify performance and make horizontal comparisons among different application scenarios and alternative solutions. It provides accurate quantitative data support for compressed air energy storage projects in terms of project function analysis, investment calculation, and economic evaluation. This can effectively avoid resource misallocation, ensure the scientific nature of power station construction decisions, and has good application prospects. Attached Figure Description

[0011] To more clearly illustrate the technical solutions in the embodiments of this application, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0012] Figure 1 This is a flowchart illustrating the selection method for a large-scale compressed air energy storage power station technology solution in this application. Figure 2 This is a logical diagram illustrating the selection strategy logic of the specific technical solutions involved in this application. Figure 3 This is a schematic diagram of an example of an expert questionnaire designed for the comprehensive evaluation system of this application. Figure 4 This is another example of an expert questionnaire designed for the comprehensive evaluation system of this application; Figure 5 This is a schematic diagram illustrating an example of the technical solution selection and evaluation results under the 70% efficiency demonstration scenario of this application. Figure 6 This is a schematic diagram of an example scenario showing the technical solution selection and evaluation results under the 300MW capacity demonstration scenario of this application. Figure 7 This is a schematic diagram illustrating an example of the technical solution selection and evaluation results in the commercial project application scenario of this application. Figure 8 This is a schematic diagram of a structural device for selecting a large-scale compressed air energy storage power station technology solution in this application. Figure 9 This is a schematic diagram of one type of processing equipment used in this application. Detailed Implementation

[0013] The technical solutions of the embodiments of this application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this application, and not all embodiments. Based on the embodiments of this application, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this application.

[0014] The terms "first," "second," etc., used in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments described herein can be implemented in a sequence other than that illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that includes a series of steps or modules is not necessarily limited to those explicitly listed, but may include other steps or modules not explicitly listed or inherent to such processes, methods, products, or devices. The naming or numbering of steps appearing in this application does not imply that the steps in the method flow must be performed in the chronological / logical order indicated by the naming or numbering. The execution order of named or numbered process steps can be changed according to the desired technical purpose, as long as the same or similar technical effect is achieved.

[0015] The module division described in this application is a logical division. In practical applications, there may be other division methods. For example, multiple modules may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the shown or discussed mutual coupling, direct coupling, or communication connections may be through interfaces, and the indirect coupling or communication connections between modules may be electrical or other similar forms, none of which are limited in this application. Moreover, the modules or sub-modules described as separate components may or may not be physically separated, may or may not be physical modules, or may be distributed across multiple circuit modules. Some or all of the modules can be selected according to actual needs to achieve the purpose of the solution in this application.

[0016] Before introducing the selection method for the large-scale compressed air energy storage power station technology solution provided in this application, we will first introduce the background content involved in this application.

[0017] The method, apparatus, and computer-readable storage medium for selecting technical solutions for large-scale compressed air energy storage power stations provided in this application can be applied to processing equipment. They create a novel comprehensive evaluation system for selecting technical solutions for large-scale compressed air energy storage power stations. This system can effectively quantify performance and make horizontal comparisons between different application scenarios and different optional solutions. It provides accurate quantitative data support for compressed air energy storage projects in terms of project function analysis, investment calculation, and economic evaluation. This can effectively avoid resource misallocation, ensure the scientific nature of power station construction decisions, and has good application prospects.

[0018] The method for selecting a large-scale compressed air energy storage power station technology solution mentioned in this application can be implemented by a large-scale compressed air energy storage power station technology solution selection device, or by different types of processing devices such as servers, physical hosts, or user equipment (UE) that integrate the large-scale compressed air energy storage power station technology solution selection device. The large-scale compressed air energy storage power station technology solution selection device can be implemented in hardware or software. The UE can specifically be a terminal device such as a smartphone, tablet, laptop, desktop computer, or personal digital assistant (PDA). The processing devices can be configured in a device cluster.

[0019] It is understandable that the proposed solution is usually based on existing data or data that has already been collected. Therefore, the processing equipment that implements the proposed large-scale compressed air energy storage power station technology selection method or is equipped with the corresponding application service of the proposed large-scale compressed air energy storage power station technology selection method usually only needs to meet the required data processing capabilities. The specific equipment type and equipment deployment form are quite flexible.

[0020] If the direct collection of existing data mentioned above is also involved, then further hardware and software adaptation configurations are obviously required for the processing equipment to enable it to have the corresponding data collection capabilities. For example, if it is necessary to collect some raw data involved in this application solution in real time, the corresponding data collection device / system can be incorporated into the equipment cluster of the processing equipment, or the processing equipment itself can be the control part of these data collection devices / systems. Alternatively, the data collection devices / systems outside the processing equipment can be triggered by a third party to perform real-time data collection operations.

[0021] In addition, if there is a need to display the processing progress (including the processing results), the processing device itself can be configured with the required display screen (including touch screen) to display the specific content. Of course, the processing device can also display the specific content through an external display device or other devices with a display screen.

[0022] The following section introduces the selection method for the large-scale compressed air energy storage power station technology solution provided in this application.

[0023] First, refer to Figure 1 , Figure 1 This paper illustrates a flowchart of a method for selecting a large-scale compressed air energy storage power station technology solution according to this application. The method for selecting a large-scale compressed air energy storage power station technology solution provided by this application may specifically include the following steps S101 to S104: Step S101: For the target large-scale compressed air energy storage power station, determine the target application scenario corresponding to the current situation from the preset application scenario set; In practical applications, it is easy to understand that the proposed solution is usually initiated for the large-scale compressed air energy storage power station that needs to be analyzed. This large-scale compressed air energy storage power station can be referred to as the target large-scale compressed air energy storage power station, and can be simply referred to as the CAES power station.

[0024] Among them, the target large-scale compressed air energy storage power station is usually a power station to be built or planned. In addition, it may also be a power station under construction or waiting for adjustment after completion.

[0025] It can be noted that after identifying the target large-scale compressed air energy storage power station, this application directly proceeds to the technical solution selection analysis based on the corresponding evaluation indicators.

[0026] The design of this application suggests that different application scenarios can be pre-matched with corresponding technical solution selection and analysis strategies to achieve subtle differentiation in details, thereby leading to better technical solution selection results.

[0027] Following this line of thought, after identifying the target large-scale compressed air energy storage power station, this application can determine the corresponding target application scenario from a set of preset application scenarios that include different application scenarios, based on the current situation, in order to advance the selection and analysis of more suitable and effective technical solutions.

[0028] In addition, in terms of specific operations, the solution processing for the target large-scale compressed air energy storage power station is usually initiated along with the corresponding work task, namely the selection task of the technical solution for the large-scale compressed air energy storage power station. The target large-scale compressed air energy storage power station can be directly or indirectly indicated in the task information.

[0029] The task of selecting a technical solution for this large-scale compressed air energy storage power station can be initiated manually, or it can be obtained by receiving tasks (such as receiving tasks issued by an online system), or it can be initiated autonomously according to the pre-configured task initiation strategy on the system. Obviously, this is quite flexible.

[0030] Furthermore, the target application scenario can be either directly specified, such as manually specified in real time or pre-specified, or it can be determined by real-time scenario analysis and processing. In the implementation of scenario analysis and processing, the relevant power station description data of the target large-scale compressed air energy storage power station can be used as the data input.

[0031] Step S102: Perform evaluation index scheme matching processing on the target application scenario to obtain the matched target evaluation index scheme; As mentioned earlier, the design of this application includes a strategy for selecting and analyzing technical solutions that adapts to specific application scenarios. Once the target application scenario is determined, the matching of evaluation index schemes for the target evaluation index schemes can be carried out.

[0032] The matching process designed here can be implemented based on mapping tables or other methods.

[0033] Step S103: Under the target evaluation index scheme, calculate the different scheme scores of different optional compressed air energy storage power station technology schemes corresponding to the target large-scale compressed air energy storage power station. The different optional compressed air energy storage power station technology schemes specifically include low temperature heat storage scheme, medium temperature heat storage scheme, high temperature heat storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. Understandably, in the selection of large-scale compressed air energy storage power station technologies involved in this application, the available types of large-scale compressed air energy storage power station technologies mainly include seven types: low-temperature thermal storage (low-temperature TS-CAES), medium-temperature thermal storage (medium-temperature TS-CAES), high-temperature thermal storage (high-temperature TS-CAES), isothermal (I-CAES), liquid (LAES), constant pressure (CP-CAES), and supercritical (SC-CAES).

[0034] Of course, in practice, other types of technical solutions can be included, and this can be updated and configured as needed.

[0035] For each supporting evaluation index scheme, the corresponding technical solution selection and analysis strategy may involve evaluation indicators that are the same or different. Even if the index system involved is the same, the focus will be different, so as to form a solution scoring / evaluation effect that is adapted to different application scenarios.

[0036] In this case, the different scheme scores of the target large-scale compressed air energy storage power station corresponding to different optional compressed air energy storage power station technology schemes can be calculated under the target evaluation index scheme. This allows for the scientific and intelligent quantification of the performance / performance of different optional compressed air energy storage power station technology schemes for decision-making purposes.

[0037] Specifically, the scoring of the solutions can be based on a specific scoring mechanism, such as a 100-point system or a 10-point system, to intuitively reflect the performance and compatibility differences of different optional compressed air energy storage power station technologies within the same scoring framework.

[0038] Step S104: Based on the different scheme scores of different optional compressed air energy storage power station technology schemes, output the corresponding technology scheme selection evaluation results.

[0039] Understandably, when different scores are determined for different optional compressed air energy storage power station technologies based on the target evaluation index scheme adapted to the current situation, the technical scheme selection evaluation results can be output according to the corresponding output strategy.

[0040] The specific output strategies involved can include both the configuration of the output format and the configuration of the output content.

[0041] In terms of output format, it can involve specific operations such as local storage, off-site storage, result display, and result push, which can be flexibly adjusted according to actual needs. As an example, the output can be displayed in a visualization interface according to specific display effects, or a corresponding selection analysis report can be generated and pushed.

[0042] In terms of output content, it may involve the ranking of the scores of different technical solutions, the score range / level of different technical solutions, or the relevant introduction of the technical solution that achieved the highest score. This can be flexibly adjusted according to actual needs.

[0043] Based on the above, it can be seen that this application provides a novel comprehensive evaluation system for the selection of technical solutions for large-scale compressed air energy storage power stations. This system can effectively quantify performance and make horizontal comparisons between different application scenarios and different optional solutions. In turn, it provides accurate quantitative data support for compressed air energy storage projects in terms of project function analysis, investment calculation, and economic evaluation. This can effectively avoid resource misallocation, ensure the scientific nature of power station construction decisions, and has good application prospects.

[0044] Continue with the above Figure 1 The steps of the illustrated embodiment and their possible implementation methods in practical applications are described in detail.

[0045] As an exemplary embodiment, the pre-configured scenario processing in this application may specifically include two major types: demonstration project scenarios and commercial project scenarios, and corresponding technical solution selection strategies are proposed accordingly. In terms of details, the demonstration project scenarios can be further subdivided into energy conversion efficiency demonstration scenarios, advanced technology demonstration scenarios, and power scale demonstration scenarios.

[0046] In particular, it is understandable that, in terms of energy conversion efficiency, considering that the data and information referenced and obtained at different planning and design stages are different, and when there are few reference materials in the early stage of project planning, this application believes that a macro-level grasp of the overall efficiency can be made for the selection of technical solutions, and the value can be taken with reference to the data of existing engineering cases. When there is abundant relevant data during the detailed design phase of the project, this application believes that a detailed analysis of the efficiency of each stage can be conducted to select the technical solution. Based on the preliminary design scheme and working conditions of each stage, the efficiency of each stage and the overall efficiency can be calculated, thereby obtaining accurate results for the comparison of technical solutions.

[0047] Based on the scenario segmentation settings described above, further details regarding the specific indicator configurations involved can be found by referring to... Figure 2 The diagram shown illustrates a logical scheme for the technical solution selection strategy involved in this application. As an exemplary embodiment, it includes: 1.1) For the evaluation index scheme adapted to the energy conversion efficiency demonstration scenario in the demonstration project scenario, it can be specifically configured to take the energy conversion efficiency index as the core index, and the installed capacity index, technology maturity index and economic index as auxiliary indexes for comprehensive evaluation. 1.2) For the evaluation index scheme of the power scale demonstration scenario in the demonstration project scenario, it can be specifically configured to take the installed capacity index as the core index, and the energy conversion efficiency index, technology maturity index and economic index as auxiliary indexes for comprehensive evaluation. 1.3) For commercial project scenarios, the specific configuration can be as follows: the first stage is to conduct an initial screening based on the installed capacity requirements, and the second stage is to conduct a comprehensive evaluation based on the installed capacity indicators, energy conversion efficiency indicators, technology maturity indicators, and economic indicators.

[0048] In this embodiment, it can be seen that this application combines the technical characteristics of various compressed air energy storage technologies, as well as the factors to consider when selecting technical solutions for the construction of compressed air energy storage power stations. It proposes four evaluation indicators: installed capacity, energy conversion efficiency, technology maturity, and economic efficiency. Based on these, from the perspectives of demonstration projects and commercial projects, an evaluation indicator system covering four dimensions of installed capacity, conversion efficiency, technology level, and economic cost is constructed.

[0049] Under the aforementioned evaluation index system, further index quantification work, as an exemplary implementation, can include the following specific index quantification contents: 2.1) Regarding the installed capacity indicators, the low-temperature thermal storage scheme is configured with a reference value of 300MW, the medium-temperature thermal storage scheme with a reference value of 100MW, the high-temperature thermal storage scheme with a reference value of 300MW, the isothermal scheme with a reference value of 1.5MW, the liquid thermal storage scheme with a reference value of 60MW, the constant pressure scheme with a reference value of 1MW, and the supercritical scheme with a reference value of 1.5MW. This can be further understood by referring to Table 1 below: Table 1 - Reference Values ​​of Installed Capacity for Different Technical Solutions 2.2.1) Energy conversion efficiency indicators may include overall efficiency indicators, with a reference energy conversion efficiency of 68% for low-temperature thermal storage schemes, 70% for medium-temperature thermal storage schemes, 72% for high-temperature thermal storage schemes, less than 45% for isothermal schemes, 60%-65% for liquid schemes, 50% for constant-pressure schemes, and 52.1% for supercritical schemes. This can be further understood by referring to Table 2 below: Table 2 - Reference Values ​​for Overall Efficiency of Different Technical Solutions 2.2.2) For energy conversion efficiency indicators, there are also process efficiency indicators, which correspond to each working process of the compressed air energy storage power station and its energy conversion process. Specifically, they may include compressor efficiency, heat exchange efficiency, thermal storage efficiency, cold storage efficiency, gas storage efficiency and expander efficiency. Specifically, we can further understand the efficiency indicators of the various stages involved by referring to the series of quantitative formulas shown below: 1. Compressor efficiency , , in, Indicates compressor efficiency. This indicates the actual specific enthalpy value at the compressor inlet. This indicates the actual specific enthalpy value at the compressor outlet. This represents the ideal specific enthalpy at the isentropic compression outlet. This represents a linear decay model. Indicates temperature. Indicates pressure, This represents the temperature-pressure coupling correction factor. This indicates the temperature deviation weighting coefficient. This indicates the pressure deviation weighting coefficient. This indicates the temperature at which the compressor achieves its optimal efficiency. This indicates the pressure at which the compressor achieves its optimal efficiency.

[0050] As an example, , .

[0051] 2. Heat exchange efficiency , in, Indicates heat exchange efficiency. Represents the thermal coefficient, with units of . It depends on the heat exchanger material and fluid properties. Indicates the heat exchange area, in units of , This represents the logarithmic mean temperature difference, in Kelvin (K). This indicates the mass of the fluid involved in the heat exchange, expressed in kg. The specific heat capacity at constant pressure of a fluid is expressed in units of 1000 kJ / m². , Indicates the fluid inlet temperature, in units of , Indicates the fluid inlet temperature, in units of .

[0052] 3. Thermal / Cold Storage Efficiency , in, Indicates thermal storage efficiency. Indicates cold storage efficiency. This represents the amount of heat contained in the heat storage medium after air heat exchange during the compression stage, expressed in kJ. This represents the amount of heat contained in the heat storage medium when it enters the heat exchanger during the expansion phase, expressed in kJ. This indicates the amount of cooling energy contained in the heat exchange medium after the expansion phase, expressed in kJ. This indicates the amount of cold contained in the heat exchange medium before the compression process begins again, expressed in kJ.

[0053] 4. Gas storage efficiency Overall gas storage efficiency: , Inflation stage: , High-pressure gas storage stage: , Degassing stage: , Low-pressure gas storage stage: , in, Indicates gas storage efficiency. Indicates the efficiency during the inflation phase. This indicates the gas storage efficiency during the high-pressure gas storage phase. This indicates the efficiency during the venting phase. This indicates the gas storage efficiency during the low-pressure gas storage phase. This indicates the gas energy in the gas storage tank at the end of the inflation process. This indicates the energy of the gas being filled into the gas storage tank. This indicates that the gas storage tank has begun filling with gas. This indicates the energy of the gas in the storage tank after the high-pressure gas storage is completed. This indicates the release of energy from the gas in the gas storage tank. This indicates the energy of the remaining gas in the gas storage tank. This indicates the energy of the gas in the storage tank after the low-pressure gas storage period ends.

[0054] 5. Expander efficiency , in, Indicates the efficiency of the expander. Indicates isentropic efficiency. Indicating environmental pressure, This indicates the expander inlet pressure. This represents the specific heat capacity ratio of air, usually taken as 1.4. Indicates temperature ratio, , This indicates the expander inlet pressure. This indicates the ambient pressure at the expander inlet. Indicates the pressure ratio. .

[0055] 2.3) For the Technology Readiness Level (TR) index, the low-temperature thermal storage scheme is configured with a technology readiness level of 1-8, the medium-temperature thermal storage scheme with a technology readiness level of 1-9, the high-temperature thermal storage scheme with a technology readiness level of 1-7, the isothermal scheme with a technology readiness level of 1-7, the liquid thermal storage scheme with a technology readiness level of 1-7, the constant-pressure scheme with a technology readiness level of 1-4, and the supercritical scheme with a technology readiness level of 1-7. This can be further understood by referring to Table 3 below: Table 3 - Technology Maturity of Different Technical Solutions 2.4) For economic indicators, the evaluation is based on investment per kilowatt, with the unit being yuan / kW.

[0056] Furthermore, the subsequent tiered scoring processing of the above indicators, i.e., the tiered scoring processing involved in step S103, can be implemented as an exemplary embodiment with the following specific tiered scoring processing content: 3.1) In the tiered scoring strategy for installed capacity indicators, Time rating , Time rating , Time rating , Time rating ; This can be further understood by referring to Table 4 below: Table 4 - Installed Capacity Classification Scoring 3.2.1) Regarding energy conversion efficiency indicators, in the tiered scoring strategy for overall efficiency indicators, Time rating , Time rating , Time rating , Time rating ; This can be further understood by referring to Table 5 below: Table 5 - Overall Efficiency Grading Score 3.2.2.1) Regarding the process efficiency index within the energy conversion efficiency index, in the graded scoring strategy for compressor efficiency, Time rating , Time rating , Time rating , Time rating ; This can be further understood by referring to Table 6 below: Table 6 - Compressor Efficiency Rating 3.2.2.2) Regarding the stage efficiency index in the energy conversion efficiency index, in the graded scoring strategy for heat exchange efficiency, Time rating , Time rating , Time rating , Time rating ; This can be further understood by referring to Table 7 below: Table 7 - Heat Transfer Efficiency Classification Scoring 3.2.2.3) Regarding the stage efficiency index in the energy conversion efficiency index, in the graded scoring strategy for thermal storage efficiency and cold storage efficiency, Time rating , Time rating , Time rating , Time rating ; This can be further understood by referring to Table 8 below: Table 8 - Thermal Storage / Cooling Efficiency Rating 3.2.2.4) Regarding the stage efficiency index in the energy conversion efficiency index, in the graded scoring strategy for gas storage efficiency, Time rating , Time rating , Time rating ; This can be further understood by referring to Table 9 below: Table 9 - Gas Storage Efficiency Grading Scores 3.2.2.5) Regarding the stage efficiency index in the energy conversion efficiency index, in the graded scoring strategy for expander efficiency, Time rating , Time rating , Time rating , Time rating ; This can be further understood by referring to Table 10 below: Table 10 - Expander Efficiency Grading Scores 3.3) In the grading and scoring strategy of the technology maturity index, The rating is as follows: , The rating is as follows: , The rating is as follows: , The rating is as follows: ; This can be further understood by referring to Table 11 below: Table 11 - Technology Maturity Level Scoring 3.4) In the tiered scoring strategy for economic indicators, Time rating , Time rating , Time rating , Time rating .

[0057] This can be further understood by referring to Table 12 below: Table 12 - Economic Performance Rating Furthermore, it should be understood that the specific quantitative content of the above exemplary embodiments also includes the content of hierarchical scoring strategies, which are mainly a preferred implementation scheme to match the current actual situation. In specific applications, the specific numerical relationships involved can be further adaptively adjusted according to the actual application situation.

[0058] Meanwhile, in step S103, the calculation and processing of the scheme score based on the graded scores of each indicator can be carried out by specific fusion methods such as weighted summation to obtain the overall aspect-level score quantification result and comprehensive score.

[0059] In this regard, as an exemplary embodiment, step S103, under the target evaluation index scheme, calculates the different scheme scores for different optional compressed air energy storage power station technical schemes corresponding to the target large-scale compressed air energy storage power station, which may specifically include: Under the target evaluation index scheme, for different optional compressed air energy storage power station technology schemes, the graded scores of each index involved in the scheme of the target large-scale compressed air energy storage power station are quantified, and then a weighted summation operation is performed to obtain the scores of different schemes in the form of a comprehensive score of the quantified scheme. If different levels of indicators are involved, the weighted summation operation is performed on the lower level indicators before continuing to participate in the weighted summation operation involved in the upper level indicators.

[0060] This setting can be further visualized by referring to the following quantification formula: , , in, Indicates the score of the plan. This represents the graded score of the i-th indicator. When the i-th indicator, such as the energy conversion efficiency indicator mentioned above, involves a nested indicator system of two or more layers, a weighted summation operation can be performed layer by layer to finally obtain the graded score of the highest layer, which is the energy conversion efficiency indicator.

[0061] As for the corresponding indicator weights involved in the above weighted summation operation, it can be understood that they can be either pre-fixed weight values ​​or weight values ​​that can be adaptively adjusted according to the actual situation. In specific operations, they can be configured manually or by the system under the corresponding autonomous configuration strategy.

[0062] As an exemplary embodiment, this application may also involve the application of expert questionnaire surveys for the indicator weights, that is, the indicator weights involved in the weighted summation operation can be determined in advance based on the questionnaire survey results of the expert questionnaire designed for the comprehensive evaluation system corresponding to the target evaluation indicator scheme.

[0063] In practice, the questionnaire for the comprehensive evaluation system is designed to obtain the scores of experts (users deemed to have relative authority) on the importance scale of the above indicators. The questionnaire design can follow the basic principles of rationality, generality, logic, clarity, non-leadingness, and ease of data processing and analysis.

[0064] After obtaining the questionnaire survey results, the results can be weighted using the scaling method and the weighted average score can be calculated. The weight of each indicator can then be calculated using the analytic hierarchy process.

[0065] The expert questionnaire for this comprehensive evaluation system design can be further combined with... Figure 3 and Figure 4 The example diagram of the expert questionnaire for the comprehensive evaluation system design of this application is shown below for a more intuitive understanding.

[0066] At the same time, it is understandable that, in addition to referring to the expert questionnaire for the comprehensive evaluation system design mentioned above, search algorithms such as whale optimization algorithm and simulated annealing algorithm can be used to automatically search for a more suitable index weight configuration scheme that achieves the best configuration effect. Alternatively, related neural network methods such as multilayer perceptron (MLP) can be used to determine a suitable index weight configuration scheme.

[0067] As mentioned earlier, the final scoring of different schemes may involve further division of scoring ranges / levels.

[0068] For a more direct and visual understanding, please refer to Table 13 below: Table 13 - Scheme Evaluation Range / Level In specific experimental examples, the above-mentioned solutions can be further combined with... Figure 5 The diagram shown is an example of the technical solution selection and evaluation results under the 70% efficiency demonstration scenario (i.e., energy conversion efficiency demonstration scenario) of this application. Figure 6 The diagram shown is an example of the technical solution selection and evaluation results under the 300MW capacity demonstration scenario (i.e., power scale demonstration scenario) of this application. Figure 7 The diagram shown is an example of the technical solution selection and evaluation results in the commercial project application scenario of this application, to provide a more intuitive understanding.

[0069] Based on the exemplary embodiments including the above-mentioned aspects, it can be more clearly seen that the solution of this application can bring the following beneficial effects in specific applications: 1) An evaluation index system covering four dimensions—installed capacity, conversion efficiency, technical level, and economic cost—was constructed from the perspectives of both demonstration projects and commercial projects. This system enables horizontal comparison and selection of technical solutions for large-scale compressed air energy storage power stations, filling the gap in a systematic approach to selecting technical solutions for compressed air energy storage power stations. 2) Differentiated measurement and quantification methods were designed based on the technical characteristics of different indicators, which improved the scientificity and reliability of the evaluation results; 3) The weights of the indicators are determined by combining expert surveys and the analytic hierarchy process, which takes into account both the objectivity of expert experience and mathematical analysis, avoids the limitations of a single weighting method, and makes the weight allocation more in line with the actual engineering needs. 4) It has achieved quantitative evaluation of technical solutions for different scenarios, providing intuitive and scientific engineering guidance for the planning and construction of large-scale compressed air energy storage power stations. It can effectively avoid resource misallocation and promote the large-scale and standardized development of compressed air energy storage technology.

[0070] The above is an introduction to the selection method of the large-scale compressed air energy storage power station technology solution provided in this application. In order to facilitate better implementation of the selection method of the large-scale compressed air energy storage power station technology solution provided in this application, this application also provides a selection device of the large-scale compressed air energy storage power station technology solution from the perspective of functional modules.

[0071] See Figure 8 , Figure 8 This is a schematic diagram of a structural device for selecting a large-scale compressed air energy storage power station technology solution according to this application. In this application, the large-scale compressed air energy storage power station technology solution selection device 800 may specifically include the following structure: The determination unit 801 is used to determine the target application scenario corresponding to the current situation from a set of preset application scenarios for the target large-scale compressed air energy storage power station. The matching unit 802 is used to perform evaluation index scheme matching processing on the target application scenario to obtain the matched target evaluation index scheme. The calculation unit 803 is used to calculate the different scheme scores of different optional compressed air energy storage power station technical schemes corresponding to the target large-scale compressed air energy storage power station under the target evaluation index scheme. The different optional compressed air energy storage power station technical schemes specifically include low temperature thermal storage scheme, medium temperature thermal storage scheme, high temperature thermal storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. Output unit 704 is used to score different schemes based on different optional compressed air energy storage power station technology schemes and output the corresponding technical scheme selection evaluation results.

[0072] In one exemplary embodiment, the preset application scenario set includes demonstration project scenarios and commercial project scenarios; The demonstration project scenarios are further subdivided into energy conversion efficiency demonstration scenarios, advanced technology demonstration scenarios, and power scale demonstration scenarios.

[0073] In another exemplary embodiment, for the evaluation index scheme adapted to the energy conversion efficiency demonstration scenario in the demonstration project scenario, the energy conversion efficiency index is used as the core index, and the installed capacity index, technology maturity index and economic index are used as auxiliary indexes for comprehensive evaluation. For the evaluation index scheme of power scale demonstration scenario adaptation in demonstration project scenarios, the installed capacity index is used as the core index, and the energy conversion efficiency index, technology maturity index and economic index are used as auxiliary indexes for comprehensive evaluation. For commercial projects, the first stage involves initial screening based on installed capacity requirements, while the second stage involves comprehensive evaluation based on installed capacity indicators, energy conversion efficiency indicators, technology maturity indicators, and economic indicators.

[0074] In another exemplary embodiment, for the installed capacity index, the low-temperature thermal storage scheme is configured with a reference value of 300MW installed capacity, the medium-temperature thermal storage scheme is configured with a reference value of 100MW installed capacity, the high-temperature thermal storage scheme is configured with a reference value of 300MW installed capacity, the isothermal scheme is configured with a reference value of 1.5MW installed capacity, the liquid scheme is configured with a reference value of 60MW installed capacity, the constant pressure scheme is configured with a reference value of 1MW installed capacity, and the supercritical scheme is configured with a reference value of 1.5MW installed capacity. Regarding energy conversion efficiency indicators, including overall efficiency indicators, the following energy conversion efficiency reference values ​​are set: low temperature thermal storage scheme: 68%; medium temperature thermal storage scheme: 70%; high temperature thermal storage scheme: 72%; isothermal scheme: less than 45%; liquid thermal storage scheme: 60%-65%; constant pressure thermal storage scheme: 50%; and supercritical thermal storage scheme: 52.1%. Energy conversion efficiency indicators also include process efficiency indicators, specifically compressor efficiency, heat exchange efficiency, thermal storage efficiency, cold storage efficiency, gas storage efficiency, and expander efficiency. For technology maturity indicators, low-temperature thermal storage solutions are configured with a technology maturity level of 1-8, medium-temperature thermal storage solutions with a technology maturity level of 1-9, high-temperature thermal storage solutions with a technology maturity level of 1-7, isothermal solutions with a technology maturity level of 1-7, liquid solutions with a technology maturity level of 1-7, constant-pressure solutions with a technology maturity level of 1-4, and supercritical solutions with a technology maturity level of 1-7. For economic indicators, the evaluation is based on investment per kilowatt, with the unit being yuan / kW.

[0075] In yet another exemplary embodiment, in the tiered scoring strategy for the installed capacity indicator, Time rating , Time rating , Time rating , Time rating ; Regarding energy conversion efficiency indicators, in the overall efficiency indicator's tiered scoring strategy, Time rating , Time rating , Time rating , Time rating ; Regarding the process efficiency index within energy conversion efficiency metrics, in the grading and scoring strategy for compressor efficiency, Time rating , Time rating , Time rating , Time rating ; For the stage efficiency index in energy conversion efficiency, in the graded scoring strategy for heat exchange efficiency... Time rating , Time rating , Time rating , Time rating ; Regarding the stage efficiency indicators in energy conversion efficiency, in the grading and scoring strategies for thermal storage efficiency and cold storage efficiency, Time rating , Time rating , Time rating , Time rating ; Regarding the process efficiency index within the energy conversion efficiency index, in the graded scoring strategy for gas storage efficiency... Time rating , Time rating , Time rating ; Regarding the process efficiency index within the energy conversion efficiency metrics, in the graded scoring strategy for expander efficiency... Time rating , Time rating , Time rating , Time rating ; In the tiered scoring strategy of the Technology Maturity Index, The rating is as follows: , The rating is as follows: , The rating is as follows: , The rating is as follows: ; In the tiered scoring strategy for economic indicators, Time rating , Time rating , Time rating , Time rating .

[0076] In yet another exemplary embodiment, under the target evaluation index scheme, the calculation unit 803 is specifically used for: Under the target evaluation index scheme, for different optional compressed air energy storage power station technology schemes, the graded scores of each index involved in the scheme of the target large-scale compressed air energy storage power station are quantified, and then a weighted summation operation is performed to obtain the scores of different schemes in the form of a comprehensive score of the quantified scheme. If different levels of indicators are involved, the weighted summation operation is performed on the lower level indicators before continuing to participate in the weighted summation operation involved in the upper level indicators.

[0077] In another exemplary embodiment, the weights of the indicators involved in the weighted summation operation are determined in advance based on the questionnaire survey results of the expert questionnaire for the design of the comprehensive evaluation system corresponding to the target evaluation indicator scheme.

[0078] This application also provides a processing device from a hardware architecture perspective. As mentioned earlier, in practice, a processing device may exist as a device cluster. In this case, each device in the device cluster can also be referred to as a processing device. See [reference needed]. Figure 9 , Figure 9 This diagram illustrates a structural schematic of the processing device of this application. Specifically, the processing device may include a processor 901, a memory 902, and an input / output device 903. The processor 901 executes the computer program stored in the memory 902 to implement, for example... Figure 1 The corresponding steps of the selection method for large-scale compressed air energy storage power station technology in the embodiment; or, when the processor 901 executes the computer program stored in the memory 902, it implements as follows: Figure 8 Corresponding to the functions of each unit in the embodiment, the memory 902 is used to store the functions executed by the processor 901 as described above. Figure 1 The computer program required for the selection method of large-scale compressed air energy storage power station technology in the corresponding embodiment.

[0079] For example, a computer program may be divided into one or more modules / units, one or more of which are stored in memory 902 and executed by processor 901 to complete this application. One or more modules / units may be a series of computer program instruction segments capable of performing a specific function, which describe the execution process of the computer program in a computer device.

[0080] The processing device may include, but is not limited to, processor 901, memory 902, and input / output device 903. Those skilled in the art will understand that the illustrations are merely examples of the processing device and do not constitute a limitation on the processing device. It may include more or fewer components than illustrated, or combine certain components, or different components. For example, the processing device may also include network access devices, buses, etc., and processor 901, memory 902, input / output device 903, etc., are connected via a bus.

[0081] The processor 901 can be a Central Processing Unit (CPU), or other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor can be a microprocessor or any conventional processor. The processor is the control center of the processing device, connecting various parts of the device through various interfaces and lines.

[0082] The memory 902 can be used to store computer programs and / or modules. The processor 901 implements various functions of the computer device by running or executing the computer programs and / or modules stored in the memory 902 and by calling data stored in the memory 902. The memory 902 may mainly include a program storage area and a data storage area. The program storage area may store the operating system, application programs required for at least one function, etc.; the data storage area may store data created according to the use of the processing device, etc. In addition, the memory may include high-speed random access memory, and may also include non-volatile memory, such as hard disk, RAM, plug-in hard disk, smart media card (SMC), secure digital card (SD), flash card, at least one disk storage device, flash memory device, or other volatile solid-state storage device.

[0083] When processor 901 executes a computer program stored in memory 902, it can specifically perform the following functions: For the target large-scale compressed air energy storage power station, determine the target application scenario corresponding to the current situation from the preset application scenario set; The target application scenario is matched with the evaluation index scheme to obtain the matching target evaluation index scheme. Under the target evaluation index scheme, the different scheme scores of different optional compressed air energy storage power station technologies corresponding to the target large-scale compressed air energy storage power station are calculated. The different optional compressed air energy storage power station technologies specifically include low temperature thermal storage scheme, medium temperature thermal storage scheme, high temperature thermal storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. Based on the different scheme scores of various optional compressed air energy storage power station technologies, the corresponding technical scheme selection evaluation results are output.

[0084] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working process of the above-described large-scale compressed air energy storage power station technical solution selection device, processing equipment, and their corresponding units can be referred to as follows: Figure 1 The specific details of the selection method for the large-scale compressed air energy storage power station technology in the corresponding embodiments will not be repeated here.

[0085] Those skilled in the art will understand that all or part of the steps in the various methods of the above embodiments can be performed by instructions, or by instructions controlling related hardware. These instructions can be stored in a computer-readable storage medium and loaded and executed by a processor.

[0086] Therefore, this application provides a computer-readable storage medium storing a plurality of instructions that can be loaded by a processor to execute the present application. Figure 1 The steps of the selection method for large-scale compressed air energy storage power station technology in the corresponding embodiment can be referred to as follows for specific operations. Figure 1 The explanation of the selection method for the large-scale compressed air energy storage power station technology in the corresponding embodiment will not be repeated here.

[0087] The computer-readable storage medium may include: read-only memory (ROM), random access memory (RAM), disk or optical disk, etc.

[0088] Because of the instructions stored in the computer-readable storage medium, the present application can be executed as described above. Figure 1 The steps of the method for selecting a large-scale compressed air energy storage power station in the corresponding embodiment can therefore achieve the results of this application. Figure 1 The beneficial effects that can be achieved by the selection method of large-scale compressed air energy storage power station technology in the corresponding embodiment are detailed in the preceding description and will not be repeated here.

[0089] The foregoing has provided a detailed description of the selection method, apparatus, processing equipment, and computer-readable storage medium for the large-scale compressed air energy storage power station technology solution provided in this application. Specific examples have been used to illustrate the principles and implementation methods of this application. The descriptions of the above embodiments are only for the purpose of helping to understand the core ideas of this application; furthermore, those skilled in the art will recognize that, based on the ideas of this application, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of this application.

Claims

1. A method for selecting a large-scale compressed air energy storage power station technology solution, characterized in that, The method includes: For the target large-scale compressed air energy storage power station, determine the target application scenario corresponding to the current situation from the preset application scenario set; The target application scenario is subjected to evaluation index scheme matching processing to obtain the matched target evaluation index scheme; Under the target evaluation index scheme, the different scheme scores of the target large-scale compressed air energy storage power station corresponding to different optional compressed air energy storage power station technical schemes are calculated. The different optional compressed air energy storage power station technical schemes specifically include low temperature thermal storage scheme, medium temperature thermal storage scheme, high temperature thermal storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. Based on the scores of the different optional compressed air energy storage power station technologies, the corresponding technical solution selection evaluation results are output.

2. The method according to claim 1, characterized in that, The set of preset application scenarios includes demonstration project scenarios and commercial project scenarios; The demonstration project scenarios are further subdivided into energy conversion efficiency demonstration scenarios, advanced technology demonstration scenarios, and power scale demonstration scenarios.

3. The method according to claim 2, characterized in that, For the evaluation index scheme adapted to the energy conversion efficiency demonstration scenario in the demonstration project scenario, the energy conversion efficiency index is used as the core index, and the installed capacity index, technology maturity index and economic index are used as auxiliary indexes for comprehensive evaluation. For the evaluation index scheme adapted to the power scale demonstration scenario in the demonstration project scenario, the installed capacity index is used as the core index, and the energy conversion efficiency index, the technology maturity index and the economic index are used as auxiliary indexes for comprehensive evaluation. For the aforementioned commercial project scenario, the first stage involves initial screening based on installed capacity requirements, while the second stage involves comprehensive evaluation based on the installed capacity indicators, energy conversion efficiency indicators, technology maturity indicators, and economic indicators.

4. The method according to claim 3, characterized in that, For the installed capacity indicators, the low-temperature thermal storage scheme is configured with a reference installed capacity of 300MW, the medium-temperature thermal storage scheme with a reference installed capacity of 100MW, the high-temperature thermal storage scheme with a reference installed capacity of 300MW, the isothermal scheme with a reference installed capacity of 1.5MW, the liquid thermal storage scheme with a reference installed capacity of 60MW, the constant-pressure scheme with a reference installed capacity of 1MW, and the supercritical scheme with a reference installed capacity of 1.5MW. Regarding energy conversion efficiency indicators, including overall efficiency indicators, the low-temperature thermal storage scheme is configured with an energy conversion efficiency reference value of 68%, the medium-temperature thermal storage scheme with an energy conversion efficiency reference value of 70%, the high-temperature thermal storage scheme with an energy conversion efficiency reference value of 72%, the isothermal scheme with an energy conversion efficiency reference value of less than 45%, the liquid scheme with an energy conversion efficiency reference value of 60%-65%, the constant-pressure scheme with an energy conversion efficiency reference value of 50%, and the supercritical scheme with an energy conversion efficiency reference value of 52.1%. Energy conversion efficiency indicators also include process efficiency indicators, specifically compressor efficiency, heat exchange efficiency, thermal storage efficiency, cold storage efficiency, gas storage efficiency, and expander efficiency. For the aforementioned technology maturity index, the low-temperature thermal storage scheme is configured with a technology maturity level of 1-8, the medium-temperature thermal storage scheme with a technology maturity level of 1-9, the high-temperature thermal storage scheme with a technology maturity level of 1-7, the isothermal scheme with a technology maturity level of 1-7, the liquid-state scheme with a technology maturity level of 1-7, the constant-pressure scheme with a technology maturity level of 1-4, and the supercritical scheme with a technology maturity level of 1-7. The economic indicators are evaluated using investment per kilowatt, with the unit being yuan / kW.

5. The method according to claim 4, characterized in that, In the tiered scoring strategy for the installed capacity index, Time rating , Time rating , Time rating , Time rating ; Regarding the energy conversion efficiency index, in the hierarchical scoring strategy for the overall efficiency index, Time rating , Time rating , Time rating , Time rating ; Regarding the stage efficiency index within the energy conversion efficiency index, in the compressor efficiency grading and scoring strategy, Time rating , Time rating , Time rating , Time rating ; Regarding the stage efficiency index within the energy conversion efficiency index, in the graded scoring strategy for heat exchange efficiency... Time rating , Time rating , Time rating , Time rating ; Regarding the stage efficiency index within the energy conversion efficiency index, in the graded scoring strategy for thermal storage efficiency and cold storage efficiency, Time rating , Time rating , Time rating , Time rating ; Regarding the stage efficiency index within the energy conversion efficiency index, in the graded scoring strategy for gas storage efficiency... Time rating , Time rating , Time rating ; Regarding the stage efficiency index within the energy conversion efficiency index, in the graded scoring strategy for the expander efficiency... Time rating , Time rating , Time rating , Time rating ; In the grading and scoring strategy of the aforementioned technology maturity index, The rating is as follows: , The rating is as follows: , The rating is as follows: , The rating is as follows: ; In the tiered scoring strategy for the aforementioned economic indicators, Time rating , Time rating , Time rating , Time rating .

6. The method according to claim 1, characterized in that, Under the target evaluation index scheme, the calculation of different scheme scores for different optional compressed air energy storage power station technologies corresponding to the target large-scale compressed air energy storage power station includes: Under the target evaluation index scheme, for the different optional compressed air energy storage power station technical schemes, the graded scores of each index involved in the scheme of the target large-scale compressed air energy storage power station are quantified, and then a weighted summation operation is performed to obtain the scores of the different schemes in the form of a comprehensive score of the quantified scheme. Wherein, if different levels of indicators are involved, the weighted summation operation is performed on the lower level indicators before continuing to participate in the weighted summation operation involved in the upper level indicators.

7. The method according to claim 6, characterized in that, The weights of the indicators involved in the weighted summation operation are determined in advance based on the questionnaire survey results of the expert questionnaire for the comprehensive evaluation system design corresponding to the target evaluation indicator scheme.

8. A selection device for a large-scale compressed air energy storage power station technology solution, characterized in that, The device includes: The determination unit is used to determine the target application scenario corresponding to the current situation from a set of preset application scenarios for the target large-scale compressed air energy storage power station. The matching unit is used to perform evaluation index scheme matching processing on the target application scenario to obtain the matched target evaluation index scheme; The calculation unit is used to calculate the different scheme scores of different optional compressed air energy storage power station technical schemes corresponding to the target large-scale compressed air energy storage power station under the target evaluation index scheme. The different optional compressed air energy storage power station technical schemes specifically include low temperature thermal storage scheme, medium temperature thermal storage scheme, high temperature thermal storage scheme, isothermal scheme, liquid scheme, constant pressure scheme and supercritical scheme. The output unit is used to output the corresponding technical solution selection evaluation results based on the different scheme scores of the different optional compressed air energy storage power station technical solutions.

9. A processing device, characterized in that, The method includes a processor and a memory, wherein the memory stores a computer program, and the processor executes the method as described in any one of claims 1 to 7 when it invokes the computer program in the memory.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores a plurality of instructions adapted for loading by a processor to perform the method of any one of claims 1 to 7.

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