Evaluation method and device of compressed CO2 energy storage system, storage medium and electronic equipment

Abstract

The invention discloses an evaluation method and device of a compressed CO2 energy storage system, a storage medium and electronic equipment, and relates to the technical field of electric energy storage systems. The method is mainly used for solving the problems of limitation caused by single evaluation index of the existing adsorption and compression carbon dioxide energy storage system and untimely updating and feedback caused by static evaluation processing. The method comprises the following steps: constructing a performance evaluation index system from multiple dimensions; determining layout positions of various sensors in the system based on the performance evaluation indexes, and collecting system operation parameters corresponding to the performance evaluation indexes in real time based on the various sensors; other performance evaluation data are collected, and performance evaluation indexes of all dimensions are calculated based on the system operation parameters and / or the other performance evaluation data according to a preset calculation formula; and performing comprehensive analysis processing on the performance evaluation indexes of each dimension by adopting a multi-index comprehensive evaluation method to obtain a comprehensive performance evaluation result.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric energy storage systems, in particular to an evaluation method and device for a compressed CO2 energy storage system, a storage medium and a computer device. BACKGROUND

[0002] With the transformation of global energy structure to clean energy, the installed capacity of renewable energy is increasing, but due to its poor controllability and strong output fluctuation, the demand for energy storage technology is increasingly urgent. The adsorption compressed carbon dioxide energy storage technology is continuously developing in the field of clean energy due to its high energy storage density and small geographical restriction.

[0003] The performance evaluation of traditional compressed gas energy storage systems mostly focuses on single indicators such as electrical efficiency and energy storage capacity, and through static and macroscopic applicability evaluation of energy storage technology, the index system is concentrated on economic performance and general performance. However, due to the complex processes involved in the adsorption compressed carbon dioxide energy storage system, such as transcritical fluid, adsorption and desorption heat and mass transfer, and multi-device coupling, the existing single indicator evaluation method for compressed gas energy storage cannot fully reflect its operating state and has certain limitations. In addition, the existing static evaluation method not only cannot update the evaluation results in time, but also lacks a closed-loop optimization mechanism that directly feeds back the performance evaluation results to the system operation strategy, and cannot fully consider the unique working principle and technical characteristics of the adsorption compressed carbon dioxide energy storage system. SUMMARY

[0004] Therefore, the present application provides an evaluation method and device for a compressed CO2 energy storage system, a storage medium and a computer device, which mainly aims to solve the limitations caused by the single evaluation index of the existing adsorption compressed carbon dioxide energy storage system and the problems of updating and feedback not in time caused by static evaluation.

[0005] According to one aspect of the present application, an evaluation method for a compressed CO2 energy storage system is provided, comprising: According to the working principle and technical characteristics of the adsorption compressed carbon dioxide energy storage system, a performance evaluation index system for the adsorption compressed carbon dioxide energy storage system is constructed from multiple dimensions; the performance evaluation index system includes performance evaluation indexes in multiple dimensions; Based on the performance evaluation indexes, the layout positions of various sensors in the adsorption compressed carbon dioxide energy storage system are determined, and the system operating parameters corresponding to each performance evaluation index are collected in real time based on the various sensors; Collecting the remaining performance evaluation data related to the adsorption compressed carbon dioxide energy storage system, and based on the system operating parameters and / or the remaining performance evaluation data, calculating the performance evaluation indexes in each dimension according to the preset calculation formula; The multi-index comprehensive evaluation method is used to comprehensively analyze and process the performance evaluation indexes of each dimension, to obtain the comprehensive performance evaluation result of the adsorption compression carbon dioxide energy storage system.

[0006] Further, the performance evaluation indexes of the multiple dimensions in the performance evaluation index system at least include: effective gas storage density under high pressure condition, low pressure adsorption effective gas storage density, energy conversion efficiency, system stability, construction capacity cost, operation degree electricity cost, carbon dioxide recycling rate, and pollutant emission proportion.

[0007] Further, the multi-index comprehensive evaluation method includes an analytic hierarchy process (AHP); The multi-index comprehensive evaluation method is used to comprehensively analyze and process the performance evaluation indexes of each dimension, including: The comprehensive performance evaluation problem is decomposed into a three-layer AHP structure through a ladder hierarchy model; the three-layer AHP structure includes a target layer, a criterion layer, and an index layer; the target layer represents system comprehensive performance; the criterion layer represents intermediate links for achieving the target, including energy storage density, energy conversion efficiency, system stability, economy, and environmental protection; and the index layer includes specific performance evaluation indexes; A judgment matrix of the criterion layer and the index layer is established, and the weight values of the performance evaluation indexes are solved through matrix eigenvalues; Based on the weight values, the performance evaluation indexes are weighted and summarized, to obtain the comprehensive performance evaluation result of the adsorption compression carbon dioxide energy storage system.

[0008] Further, the multi-index comprehensive evaluation method also includes a fuzzy comprehensive evaluation method; The multi-index comprehensive evaluation method is used to comprehensively analyze and process the performance evaluation indexes of each dimension, including: A membership function is generated based on the division points of the evaluation grades, and a membership degree matrix is generated based on the membership function; The weight values obtained by the analytic hierarchy process are multiplied by the membership degree matrix, to obtain a comprehensive evaluation vector; From the comprehensive evaluation vector, the evaluation grade with the highest membership degree is determined as the comprehensive performance evaluation result.

[0009] Further, after the multi-index comprehensive evaluation method is used to comprehensively analyze and process the performance evaluation indexes of each dimension, to obtain the comprehensive performance evaluation result of the adsorption compression carbon dioxide energy storage system, the method further includes: The score distribution of the criterion layer in the analytic hierarchy process is obtained, and a preset diagnostic rule base is obtained; Based on the score distribution of the criterion layer and the diagnostic rule base, diagnostic analysis is performed to determine a system part to be optimized.

[0010] Furthermore, after determining the part of the system to be optimized, the method further includes: Based on the parts of the system to be optimized and the diagnostic rule base, optimization suggestions are generated for the adsorption-compressed carbon dioxide energy storage system. The optimization suggestions are fed back to the control system of the adsorption-compressed carbon dioxide energy storage system for execution, or to the relevant operation and maintenance personnel.

[0011] Furthermore, the method also includes: A performance evaluation report is generated based on the comprehensive performance evaluation results, so that relevant personnel can obtain the performance evaluation report by viewing or retrieving it. Obtain key information from the performance evaluation report and convert it into an intuitive visualization mode for display on the monitor.

[0012] According to another aspect of the present invention, an evaluation device for a compressed CO2 energy storage system is provided, comprising: The system construction module is used to construct a performance evaluation index system for the adsorption-compression carbon dioxide energy storage system from multiple dimensions based on the working principle and technical characteristics of the adsorption-compression carbon dioxide energy storage system; the performance evaluation index system includes performance evaluation indicators from multiple dimensions. The data acquisition module is used to determine the deployment location of various sensors in the adsorption-compressed carbon dioxide energy storage system based on the performance evaluation indicators, and to collect system operating parameters corresponding to each performance evaluation indicator in real time based on the various sensors. The index calculation module is used to collect other performance evaluation data related to the adsorption-compressed carbon dioxide energy storage system, and calculate the performance evaluation indexes of each dimension according to the preset calculation formula based on the system operating parameters and / or the other performance evaluation data. The comprehensive evaluation module is used to perform comprehensive analysis and processing of the performance evaluation indicators of each dimension using a multi-index comprehensive evaluation method, so as to obtain the comprehensive performance evaluation results of the adsorption-compressed carbon dioxide energy storage system.

[0013] Furthermore, the performance evaluation indicators in the system construction module include at least the following dimensions: effective gas storage density under high pressure conditions, effective gas storage density under low pressure adsorption, energy conversion efficiency, system stability, construction capacity cost, operating electricity cost, carbon dioxide recycling rate, and pollutant emission ratio.

[0014] Furthermore, the multi-index comprehensive evaluation method includes the analytic hierarchy process (AHP); the comprehensive evaluation module is also used for: The comprehensive performance evaluation problem is decomposed into a three-layer AHP structure using a hierarchical model. The three-layer AHP structure includes an objective layer, a criterion layer, and an indicator layer. The objective layer characterizes the overall system performance. The criterion layer characterizes the intermediate links in achieving the objective, including energy storage density, energy conversion efficiency, system stability, economy, and environmental friendliness. The indicator layer includes specific performance evaluation indicators. Establish the judgment matrices of the criterion layer and the index layer, and solve for the weight values ​​of each performance evaluation index using the matrix eigenvalues; The performance evaluation indicators are weighted and summarized based on the weight values ​​to obtain the comprehensive performance evaluation result of the adsorption-compressed carbon dioxide energy storage system.

[0015] Furthermore, the multi-index comprehensive evaluation method also includes fuzzy comprehensive evaluation; the comprehensive evaluation module is also used for: Obtain the boundary points of the evaluation levels to generate membership functions; and generate a membership degree matrix based on the membership functions; The weight values ​​obtained by the analytic hierarchy process are multiplied by the membership matrix to obtain the comprehensive evaluation vector; The evaluation level with the highest membership degree is determined from the comprehensive evaluation vector and used as the comprehensive performance evaluation result.

[0016] Furthermore, the device also includes a diagnostic module, which is used for: Obtain the score distribution of the criterion layer in the analytic hierarchy process, and obtain the preset diagnostic rule base; Based on the scoring distribution of the criterion layer and the diagnostic rule base, a diagnostic analysis is performed to determine the parts of the system that need optimization.

[0017] Furthermore, the device also includes a suggestion feedback module, which is used to: Based on the parts of the system to be optimized and the diagnostic rule base, optimization suggestions are generated for the adsorption-compressed carbon dioxide energy storage system. The optimization suggestions are fed back to the control system of the adsorption-compressed carbon dioxide energy storage system for execution, or to the relevant operation and maintenance personnel.

[0018] Furthermore, the device also includes a display module, the retrieval and display module being used for: A performance evaluation report is generated based on the comprehensive performance evaluation results, so that relevant personnel can obtain the performance evaluation report by viewing or retrieving it. Obtain key information from the performance evaluation report and convert it into an intuitive visualization mode for display on the monitor.

[0019] According to another aspect of the present invention, a storage medium is provided, wherein at least one executable instruction is stored therein, the executable instruction causing a processor to perform an operation corresponding to the evaluation method of the compressed CO2 energy storage system described above.

[0020] According to another aspect of the present invention, a computer device is provided, including a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other through the communication bus; The memory is used to store at least one executable instruction that causes the processor to perform operations corresponding to the evaluation method for the compressed CO2 energy storage system described above.

[0021] By employing the above-described technical solutions, the technical solutions provided by the embodiments of the present invention have at least the following advantages: This invention provides an evaluation method and apparatus, storage medium, and electronic equipment for a compressed CO2 energy storage system. Compared with existing technologies, this invention constructs a performance evaluation index system for the adsorption-compressed CO2 energy storage system from multiple dimensions. Based on the performance evaluation indexes in the system, it determines the deployment locations of various sensors in the system and collects system operating parameters corresponding to each performance evaluation index in real time based on these sensors. It also collects other performance evaluation data related to the system and calculates the performance evaluation indexes for each dimension according to preset calculation formulas based on the system operating parameters and / or the other performance evaluation data. Finally, it employs a multi-index comprehensive evaluation method to comprehensively analyze and process the performance evaluation indexes for each dimension, obtaining the comprehensive performance evaluation result of the adsorption-compressed CO2 energy storage system. This achieves a multi-dimensional dynamic evaluation of the system, comprehensively reflecting its performance characteristics and avoiding the limitations of single-index evaluation. Furthermore, it captures transient and dynamic characteristics of the system, reducing system risk and maintenance costs.

[0022] The above description is merely an overview of the technical solution of the present invention. In order to better understand the technical means of the present invention and to implement it in accordance with the contents of the specification, and in order to make the above and other objects, features and advantages of the present invention more apparent and understandable, specific embodiments of the present invention are described below. Attached Figure Description

[0023] Various other advantages and benefits will become apparent to those skilled in the art upon reading the following detailed description of preferred embodiments. The accompanying drawings are for illustrative purposes only and are not intended to limit the invention. Furthermore, the same reference numerals denote the same parts throughout the drawings. In the drawings: Figure 1A flowchart illustrating an evaluation method for a compressed CO2 energy storage system provided in an embodiment of the present invention is shown. Figure 2 A flowchart illustrating another evaluation method for a compressed CO2 energy storage system provided in an embodiment of the present invention is shown. Figure 3 This diagram illustrates the structure of an evaluation device for a compressed CO2 energy storage system according to an embodiment of the present invention. Figure 4 A schematic diagram of the structure of an electronic device provided by an embodiment of the present invention is shown. Detailed Implementation

[0024] Exemplary embodiments of the present disclosure will now be described in more detail with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be implemented in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0025] This invention provides an evaluation method for compressed CO2 energy storage systems, such as... Figure 1 As shown, the method includes: 101. Based on the working principle and technical characteristics of the adsorption-compression carbon dioxide energy storage system, a performance evaluation index system for the adsorption-compression carbon dioxide energy storage system is constructed from multiple dimensions; the performance evaluation index system includes performance evaluation indicators from multiple dimensions. In this embodiment of the invention, the current execution end constructs a performance evaluation index system unique to the adsorption-compression carbon dioxide energy storage system from multiple dimensions based on the working principle and technical characteristics of the system. This performance evaluation index system includes performance evaluation indicators across multiple dimensions, such as effective gas storage density under high-pressure conditions, effective gas storage density under low-pressure adsorption, energy conversion efficiency, system stability, construction capacity cost, operating cost per kilowatt-hour, carbon dioxide recycling rate, and pollutant emission ratio. This embodiment of the invention does not impose specific limitations on these indicators.

[0026] 102. Based on the performance evaluation indicators, determine the deployment locations of various sensors in the adsorption-compressed carbon dioxide energy storage system, and collect system operating parameters corresponding to each performance evaluation indicator in real time based on various sensors. In this embodiment of the invention, the current execution end determines the placement of various sensors in the adsorption-compression carbon dioxide energy storage system based on the performance evaluation index system. For example, pressure sensors, temperature sensors, and flow sensors are placed at the inlet and outlet pipes of the adsorption tower to monitor the pressure, temperature, and flow rate changes of CO2 during the adsorption / desorption process; pressure sensors, temperature sensors, and flow sensors are placed at the inlet and outlet pipes of each stage of the compressor to monitor the pressure, temperature, and flow rate changes during each stage of compression; power sensors and speed sensors are placed on the body of each stage of the compressor to monitor the operating status of each stage of the compressor; and pressure sensors, temperature sensors, and flow sensors are placed at the inlet and outlet pipes of each stage of the expander to monitor the pressure during the expansion process. The invention includes the following methods: monitoring force, temperature, and flow rate changes; power and speed sensors are installed on the bodies of each stage of the expander to monitor the operating status of each stage; temperature sensors and heat flow meters are installed on the inlet and outlet pipes of heat exchange equipment such as interstage coolers and reheaters to monitor the temperature of the medium before and after heat exchange and the amount of heat exchange; pressure and temperature sensors are installed inside the high-pressure storage tank to monitor the storage pressure and temperature; flow sensors are installed at the inlet and outlet pipes of the high-pressure storage tank to monitor the charging / discharging flow rate of the high-pressure storage tank; pressure and temperature sensors are installed inside the low-pressure adsorption tank to monitor the pressure and temperature of the low-pressure adsorption tank during adsorption and storage; and power sensors are installed at the power input / output terminals to monitor the system's input and output power, etc. These embodiments of the invention do not impose specific limitations.

[0027] After deploying various sensors, the current execution terminal also needs to collect system operating parameters corresponding to various performance evaluation indicators in real time based on these sensors for subsequent evaluation and processing. After collecting the data, the current execution terminal can also perform data cleaning processing, such as removing outliers (3σ principle) and filling missing values ​​with linear interpolation or the mean of similar devices, etc., without specific limitations in this embodiment of the invention.

[0028] 103. Collect other performance evaluation data related to the adsorption-compressed carbon dioxide energy storage system, and calculate the performance evaluation index of each dimension according to the preset calculation formula based on the system operating parameters and / or the other performance evaluation data. In this embodiment of the invention, the current execution terminal collects other performance evaluation data related to the adsorption-compressed carbon dioxide energy storage system, such as design parameters, cost data, carbon dioxide emission and recovery data, etc. This embodiment of the invention does not impose specific limitations.

[0029] Next, the current execution end calculates the performance evaluation indicators for each dimension according to the collected system operating parameters and / or other performance evaluation data, based on the preset calculation formulas. These calculation formulas include at least the following: (1)Effective gas storage density ρ_high under high pressure: ρ_high = m_high / V_high Where, m_high is the mass of CO2 stored in the high-pressure tank (the total mass of CO2 filled is cumulatively measured by a flow sensor), and V_high is the effective volume of the high-pressure tank (known design parameter).

[0030] (2)Effective gas storage density ρ_low of low-pressure adsorption: ρ_low = (m_adsorb - m_empty) / V_adsorber Where, m_adsorb is the total mass of the adsorbent in the adsorption tower after being saturated with CO2 (calculated by overall mass monitoring of the adsorption tower or cumulative calculation of inlet and outlet flows), m_empty is the mass of the adsorbent when it is empty (known design parameter), and V_adsorber is the effective volume of the adsorption tower (known design parameter).

[0031] (3)Energy conversion efficiency (electric-electric energy storage efficiency η_ee): η_ee = (E_out / E_in)×100% Where, E_out is the total electric energy output during the energy release stage of the system (cumulatively measured by a sensor at the electric energy output end), and E_in is the total electric energy input during the energy storage stage of the system (cumulatively measured by a sensor at the electric energy input end).

[0032] (4)System stability: Select key operating parameters (such as the outlet pressure of the adsorption tower, the outlet temperature of the compressor, the power of the expander, etc.), and calculate their fluctuation ranges during continuous operation for t time: Calculate the parameter average value: x_avg = (x1 + x2 +... + x n ) / n (n is the number of sampling times during t time, and x i is the i-th sampling value); Calculate the standard deviation: σ = ; Calculate the coefficient of variation: CV = σ / x_avg×100%; Set the stability threshold: CV≤5% is "stable", 5% < CV≤10% is "relatively stable", and CV>10% is "unstable", so as to determine the system stability level.

[0033] (5)Construction capacity cost C_cap: C_cap = Total construction investment / System rated capacity The total construction investment includes costs for equipment purchase, installation, and civil engineering (actual statistical data). The rated capacity of the system is the maximum output power designed (known design parameters), and the unit is yuan / kW.

[0034] (6) Operating cost per kilowatt-hour C_op: C_op = (Annual operating cost) / Annual power generation The annual operating cost includes energy consumption, maintenance, labor, and other expenses (actual statistical data), while the annual power generation is the system's cumulative output of electrical energy throughout the year (accumulated metering by sensors), in yuan / kWh.

[0035] (7) Carbon dioxide recycling rate: CO2 recycling rate = (Amount of CO2 recycled / Total amount of CO2 consumed) × 100% The circulation volume and total consumption are measured by inlet and outlet flow sensors, respectively.

[0036] (8) Pollutant emission ratio: Pollutant emission ratio = (SO2 and NO) x (Emissions / Unit Electricity Generation) × 100% Among them, SO2 and NO x Emissions can be measured using exhaust gas monitoring sensors, with units of mg / kWh.

[0037] It should be noted that, in addition to the performance evaluation indicators listed above, the performance evaluation indicators can be expanded as needed. For example, round-trip efficiency, compressor adiabatic efficiency, expander isentropic efficiency, capacity retention rate, and cycle number can be added to the performance evaluation indicator system. This embodiment of the invention does not impose specific limitations.

[0038] 104. A multi-index comprehensive evaluation method is used to comprehensively analyze and process the performance evaluation indicators of each dimension to obtain the comprehensive performance evaluation results of the adsorption-compressed carbon dioxide energy storage system.

[0039] In this embodiment of the invention, the current execution end uses a multi-index comprehensive evaluation method to comprehensively analyze and process the performance evaluation indicators of each dimension that are collected and calculated in real time in steps 101 to 103, and obtain the comprehensive performance evaluation result of the adsorption-compressed carbon dioxide energy storage system.

[0040] Among them, the multi-index comprehensive evaluation method includes the analytic hierarchy process (AHP); the specific steps for using the AHP to comprehensively analyze and process the performance evaluation indicators of each dimension include: (1) The comprehensive performance evaluation problem is decomposed into a three-layer AHP structure through a hierarchical model. The three-layer AHP structure includes a target layer, a criterion layer and an indicator layer. The target layer represents the comprehensive performance of the system. The criterion layer represents the intermediate links in achieving the target, including energy storage density, energy conversion efficiency, system stability, economy and environmental protection. The indicator layer includes specific performance evaluation indicators, such as effective gas storage density under high pressure conditions, effective gas storage density under low pressure adsorption, energy conversion efficiency, round-trip efficiency, compressor adiabatic efficiency, expander isentropic efficiency, system stability, construction capacity cost, capacity retention rate, number of cycles, operating electricity cost, carbon dioxide recycling rate and pollutant emission ratio, etc. The embodiments of the present invention do not make specific limitations.

[0041] It should be noted that, in order to prevent omissions during subsequent comprehensive evaluation, a tree diagram or table can also be used to solidify the three-layer AHP structure. This embodiment of the invention does not impose specific limitations.

[0042] (2) Establish the judgment matrices of the criterion layer and the index layer, and solve for the weight values ​​of each performance evaluation index by using the matrix eigenvalues; for example, firstly, quantify the relative importance of the criterion layer and the index layer by using expert system scoring, such as the importance ratio of "energy storage density" to "economic efficiency" being 1:1.2, etc., which is not specifically limited in this embodiment of the invention. Next, solve for the weight values ​​of each performance evaluation index by using the matrix eigenvalues. For example, the criterion layer includes a weight of 0.2 for energy storage density, 0.25 for energy conversion efficiency, 0.15 for system stability, 0.2 for economic efficiency, and 0.2 for environmental friendliness, denoted as w. C =[0.20, 0.25, 0.15, 0.20, 0.20], where the weights of the indicator layer are denoted as w. I w I The system includes at least eight dimensions: effective gas storage density under high-pressure conditions, effective gas storage density under low-pressure adsorption, energy conversion efficiency, system stability, construction capacity cost, operating cost per kilowatt-hour, carbon dioxide recycling rate, and pollutant emission ratio. This embodiment of the invention does not impose specific limitations on these dimensions. Finally, the current execution terminal calculates the combined weight w = w C ×w I The final weight vector of at least 8 performance evaluation indicators is obtained, and the embodiments of the present invention do not impose specific limitations.

[0043] (3) Based on the weight values, the performance evaluation indicators are weighted and summarized to obtain the comprehensive performance evaluation results of the adsorption-compressed carbon dioxide energy storage system.

[0044] In this embodiment of the invention, the current execution end performs a weighted summation of each performance evaluation indicator based on the weight value, specifically using the formula: Comprehensive performance evaluation result = Σ(w j ×sj ), j=1…8.

[0045] It should be noted that the multi-index comprehensive evaluation method in this embodiment may also include the fuzzy comprehensive evaluation method; the specific steps for using the fuzzy comprehensive evaluation method to comprehensively analyze and process the performance evaluation indicators of each dimension include: (1) Obtain the boundary points of the evaluation levels and generate membership functions; and generate a membership degree matrix based on the membership functions; for example, when the evaluation levels are Excellent (80-100 points), Good (60-79 points), Average (40-59 points), and Poor (<40 points), the membership functions can be generated according to the boundary points as follows: Excellent: μExcellent(x) = min{ (x–79) / 21, 1, (100–x) / 21} Good: μGood(x) = min{ (x–59) / 20, 1, (79–x) / 20} Average: μAverage(x) = min{ (x–39) / 20, 1, (59–x) / 20} Poor: μPoor(x) = min{ 1, (39–x) / 39} In this embodiment, the current execution end also generates a membership matrix based on the above membership function. For example, each indicator has 4 memberships, forming an n×4 matrix (n=number of indicators). For example, when the "electric-electric efficiency" performance evaluation indicator is 85 points, the membership degree for "excellent" is 0.9, the membership degree for "good" is 0.1, the membership degree for "medium" is 0, and the membership degree for "poor" is 0, etc. This embodiment of the invention does not make specific limitations.

[0046] (2) The weight values ​​obtained by the analytic hierarchy process are multiplied by the membership matrix to obtain the comprehensive evaluation vector; In this embodiment, a multi-level fuzzy comprehensive evaluation can be adopted, as detailed below: Level 1 (Indicators → Criteria): B i =w i ·R i This results in five 1×4 vectors.

[0047] Level 2 (Criteria → Objective): B = w c ·[B1…B5] T This yields a 1×4 comprehensive evaluation vector [μExcellent, μGood, μMedium, μPoor].

[0048] (3) The evaluation level with the highest membership degree is determined from the comprehensive evaluation vector as the comprehensive performance evaluation result.

[0049] In this embodiment of the invention, the current execution end adopts the maximum membership principle to determine the evaluation level with the highest membership degree from the above comprehensive evaluation vector as the comprehensive performance evaluation result.

[0050] It should be noted that the comprehensive performance evaluation results obtained by the analytic hierarchy process and / or fuzzy comprehensive evaluation method can be a quantitative score of 0-100 (the higher the score, the better the performance), or a grade of "excellent, good, average, poor". This embodiment of the invention does not make specific limitations.

[0051] Furthermore, as a refinement and extension of the specific implementation methods described above, in order to dynamically analyze the problems existing in the system and propose corresponding performance optimization suggestions, another evaluation method for compressed CO2 energy storage systems is provided, such as... Figure 2 As shown, after the steps employ a multi-index comprehensive evaluation method to comprehensively analyze and process the performance evaluation indicators of each dimension to obtain the comprehensive performance evaluation result of the adsorption-compressed carbon dioxide energy storage system, the method further includes: 201. Obtain the score distribution of the criterion layer in the analytic hierarchy process and obtain the preset diagnostic rule base; 202. Based on the scoring distribution of the criteria layer and the diagnostic rule base, perform diagnostic analysis to determine the parts of the system that need to be optimized.

[0052] In this embodiment of the invention, the current execution terminal obtains the score distribution of the criterion layer in the analytic hierarchy process (AHP) and a preset diagnostic rule base. Based on the score distribution of the criterion layer and the diagnostic rule base, diagnostic analysis can be performed to locate specific parts of the system that need optimization. For example, if the score for the "economic efficiency" criterion is below 60, it indicates that the construction or operating costs are too high, and improvements need to be made in areas such as equipment selection (e.g., using low-cost compressors) and operation and maintenance optimization (e.g., reducing downtime for maintenance). If the "energy storage density" score is low, it is recommended to optimize the pore size distribution of the adsorbent (to increase the low-pressure adsorption capacity) or increase the working pressure of the high-pressure tank (to increase the high-pressure storage density). If the "system stability" level is "unstable", it is necessary to check the heat exchanger heat exchange efficiency (to reduce temperature fluctuations) or optimize the control system parameters (to reduce pressure fluctuations), etc. The embodiments of this invention do not impose specific limitations.

[0053] After the current execution end determines the parts of the system that need optimization, the method further includes: 203. Based on the parts of the system to be optimized and the diagnostic rule base, generate optimization suggestions for the adsorption-compressed carbon dioxide energy storage system; 204. Feed back the optimization suggestions to the control system of the adsorption-compressed carbon dioxide energy storage system for execution, or to the relevant operation and maintenance personnel.

[0054] In this embodiment of the invention, the current execution terminal generates optimization suggestions for the adsorption-compressed carbon dioxide energy storage system based on the parts of the system to be optimized and the diagnostic rule base. For example, when the energy storage density is low, it is suggested to optimize the adsorbent regeneration temperature or increase the adsorption tower operating pressure; when the efficiency is low, it is suggested to adjust the compressor / expander operating parameters or optimize the interstage cooling / reheat load distribution; when the stability is poor, it is suggested to adjust the control system PID parameters or check the heat exchanger scaling, etc. This embodiment of the invention does not make specific limitations.

[0055] Furthermore, after generating optimization suggestions, the current execution end will also feed back the optimization suggestions to the control system of the adsorption-compressed carbon dioxide energy storage system, or to the relevant operation and maintenance personnel, so that the relevant operation and maintenance personnel can make more appropriate decision-making results based on the optimization suggestions, directly linking performance diagnosis and operation control, thereby realizing the adaptive closed-loop optimization of the system, which can enhance the refined management of the system and significantly improve the practicality and value of the method.

[0056] It should be noted that, in this embodiment of the invention, the current execution terminal can also generate a performance evaluation report based on the comprehensive performance evaluation results, so that relevant personnel can obtain the performance evaluation report by viewing or retrieving it; at the same time, it supports printing or exporting the performance evaluation report for further analysis and application. Furthermore, the current execution terminal can also obtain key information from the performance evaluation report and convert the key information into an intuitive visualization mode for display on the monitor. For example, the performance evaluation report can be displayed in an intuitive form such as charts and text for easy viewing by users; this embodiment of the invention does not impose specific limitations.

[0057] This invention provides an evaluation method for a compressed CO2 energy storage system. Compared with existing technologies, this invention constructs a performance evaluation index system for the adsorption-compressed CO2 energy storage system from multiple dimensions. Based on the performance evaluation indexes in the system, it determines the deployment locations of various sensors in the system and collects system operating parameters corresponding to each performance evaluation index in real time based on these sensors. It also collects other performance evaluation data related to the system and calculates the performance evaluation indexes for each dimension according to preset calculation formulas based on the system operating parameters and / or the other performance evaluation data. Finally, it employs a multi-index comprehensive evaluation method to comprehensively analyze and process the performance evaluation indexes for each dimension, obtaining the comprehensive performance evaluation result of the adsorption-compressed CO2 energy storage system. This achieves a multi-dimensional dynamic evaluation of the system, comprehensively reflecting its performance characteristics and avoiding the limitations of single-index evaluation. Furthermore, it captures transient and dynamic characteristics of the system, reducing system risk and maintenance costs.

[0058] As a response to the aboveFigure 1 The implementation of the method shown in this invention provides an evaluation device for a compressed CO2 energy storage system, such as... Figure 3 As shown, the device includes: The system construction module 31 is used to construct a performance evaluation index system for the adsorption-compression carbon dioxide energy storage system from multiple dimensions based on the working principle and technical characteristics of the adsorption-compression carbon dioxide energy storage system; the performance evaluation index system includes performance evaluation indicators from multiple dimensions. The data acquisition module 32 is used to determine the deployment location of various sensors in the adsorption-compressed carbon dioxide energy storage system based on the performance evaluation indicators, and to collect system operating parameters corresponding to each performance evaluation indicator in real time based on various sensors. The index calculation module 33 is used to collect other performance evaluation data related to the adsorption and compression carbon dioxide energy storage system, and calculate the performance evaluation indexes of each dimension according to the preset calculation formula based on the system operating parameters and / or the other performance evaluation data. The comprehensive evaluation module 34 is used to perform comprehensive analysis and processing of the performance evaluation indicators of each dimension using a multi-index comprehensive evaluation method to obtain the comprehensive performance evaluation results of the adsorption-compressed carbon dioxide energy storage system.

[0059] Furthermore, the performance evaluation indicators in the system construction module 31 include at least the following dimensions: effective gas storage density under high pressure conditions, effective gas storage density under low pressure adsorption, energy conversion efficiency, system stability, construction capacity cost, operating electricity cost, carbon dioxide recycling rate, and pollutant emission ratio.

[0060] Furthermore, the multi-index comprehensive evaluation method includes the analytic hierarchy process (AHP); the comprehensive evaluation module 34 is also used for: The comprehensive performance evaluation problem is decomposed into a three-layer AHP structure using a hierarchical model. The three-layer AHP structure includes an objective layer, a criterion layer, and an indicator layer. The objective layer characterizes the overall system performance. The criterion layer characterizes the intermediate links in achieving the objective, including energy storage density, energy conversion efficiency, system stability, economy, and environmental friendliness. The indicator layer includes specific performance evaluation indicators. Establish the judgment matrices of the criterion layer and the index layer, and solve for the weight values ​​of each performance evaluation index using the matrix eigenvalues; The performance evaluation indicators are weighted and summarized based on the weight values ​​to obtain the comprehensive performance evaluation result of the adsorption-compressed carbon dioxide energy storage system.

[0061] Furthermore, the multi-index comprehensive evaluation method also includes the fuzzy comprehensive evaluation method; the comprehensive evaluation module 34 is also used for: Obtain the boundary points of the evaluation levels to generate membership functions; and generate a membership degree matrix based on the membership functions; The weight values ​​obtained by the analytic hierarchy process are multiplied by the membership matrix to obtain the comprehensive evaluation vector; The evaluation level with the highest membership degree is determined from the comprehensive evaluation vector and used as the comprehensive performance evaluation result.

[0062] Furthermore, the device also includes a diagnostic module, which is used for: Obtain the score distribution of the criterion layer in the analytic hierarchy process, and obtain the preset diagnostic rule base; Based on the scoring distribution of the criterion layer and the diagnostic rule base, a diagnostic analysis is performed to determine the parts of the system that need optimization.

[0063] Furthermore, the device also includes a suggestion feedback module, which is used to: Based on the parts of the system to be optimized and the diagnostic rule base, optimization suggestions are generated for the adsorption-compressed carbon dioxide energy storage system. The optimization suggestions are fed back to the control system of the adsorption-compressed carbon dioxide energy storage system for execution, or to the relevant operation and maintenance personnel.

[0064] Furthermore, the device also includes a display module, the retrieval and display module being used for: A performance evaluation report is generated based on the comprehensive performance evaluation results, so that relevant personnel can obtain the performance evaluation report by viewing or retrieving it. Obtain key information from the performance evaluation report and convert it into an intuitive visualization mode for display on the monitor.

[0065] This invention provides an evaluation device for a compressed CO2 energy storage system. Compared with existing technologies, this invention constructs a performance evaluation index system for the adsorption-compressed CO2 energy storage system from multiple dimensions. Based on the performance evaluation indexes in the system, it determines the deployment locations of various sensors in the adsorption-compressed CO2 energy storage system and collects system operating parameters corresponding to each performance evaluation index in real time based on various sensors. It also collects other performance evaluation data related to the adsorption-compressed CO2 energy storage system and calculates the performance evaluation indexes for each dimension according to preset calculation formulas based on the system operating parameters and / or other performance evaluation data. Finally, it uses a multi-index comprehensive evaluation method to comprehensively analyze and process the performance evaluation indexes for each dimension to obtain the comprehensive performance evaluation result of the adsorption-compressed CO2 energy storage system. This achieves multi-dimensional dynamic evaluation of the adsorption-compressed CO2 energy storage system, which can not only comprehensively reflect the performance characteristics of the adsorption-compressed CO2 energy storage system and avoid the limitations of single index evaluation, but also capture the transient and dynamic characteristics of the system, reducing system risks and system maintenance costs.

[0066] According to one embodiment of the present invention, a storage medium is provided, the storage medium storing at least one executable instruction, the computer-executable instruction being able to execute the evaluation method of the compressed CO2 energy storage system in any of the above method embodiments.

[0067] Figure 4 The diagram illustrates a structural schematic of a computer device according to an embodiment of the present invention. The specific embodiments of the present invention do not limit the specific implementation of the computer device.

[0068] like Figure 4 As shown, the computer device may include: a processor 402, a communications interface 404, a memory 406, and a communications bus 408.

[0069] The processor 402, communication interface 404, and memory 406 communicate with each other via communication bus 408.

[0070] Communication interface 404 is used to communicate with other network elements such as clients or other servers.

[0071] The processor 402 is used to execute program 410, which can specifically perform the relevant steps of the evaluation method for the compressed CO2 energy storage system described above.

[0072] Specifically, program 410 may include program code that includes computer operation instructions.

[0073] Processor 402 may be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or one or more integrated circuits configured to implement embodiments of the present invention. The computer device includes one or more processors, which may be processors of the same type, such as one or more CPUs; or processors of different types, such as one or more CPUs and one or more ASICs.

[0074] Memory 406 is used to store program 410. Memory 406 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0075] Specifically, program 410 can be used to cause processor 402 to perform the following operations: Based on the working principle and technical characteristics of the adsorption-compression carbon dioxide energy storage system, a performance evaluation index system for the adsorption-compression carbon dioxide energy storage system is constructed from multiple dimensions; the performance evaluation index system includes performance evaluation indicators from multiple dimensions. Based on the performance evaluation indicators, the deployment locations of various sensors in the adsorption-compressed carbon dioxide energy storage system are determined, and the system operating parameters corresponding to each performance evaluation indicator are collected in real time based on the various sensors. Collect other performance evaluation data related to the adsorption-compressed carbon dioxide energy storage system, and calculate the performance evaluation indexes for each dimension according to the system operating parameters and / or the other performance evaluation data according to the preset calculation formula. A multi-index comprehensive evaluation method is used to comprehensively analyze and process the performance evaluation indicators of each dimension to obtain the comprehensive performance evaluation results of the adsorption-compressed carbon dioxide energy storage system.

[0076] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. Optionally, they can be implemented using computer-executable program code, thereby storing them in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those presented herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0077] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for evaluating a compressed CO2 energy storage system, characterized by, Comprise: According to the working principle and technical characteristics of the adsorption compression carbon dioxide energy storage system, a performance evaluation index system of the adsorption compression carbon dioxide energy storage system is constructed from multiple dimensions; the performance evaluation index system comprises performance evaluation indexes in multiple dimensions; Based on the performance evaluation indexes, the layout positions of various sensors in the adsorption compression carbon dioxide energy storage system are determined, and the system operation parameters corresponding to each performance evaluation index are collected in real time based on various sensors; The remaining performance evaluation data related to the adsorption compression carbon dioxide energy storage system are collected, and the performance evaluation indexes in each dimension are calculated respectively based on the system operation parameters and / or the remaining performance evaluation data according to a preset calculation formula; The performance evaluation indexes in each dimension are comprehensively analyzed and processed by using a multi-index comprehensive evaluation method, and the comprehensive performance evaluation result of the adsorption compression carbon dioxide energy storage system is obtained.

2. The method of claim 1, wherein, The performance evaluation indexes in multiple dimensions in the performance evaluation index system at least comprise: effective gas storage density under high pressure, low pressure adsorption effective gas storage density, energy conversion efficiency, system stability, construction capacity cost, operation degree of electricity cost, carbon dioxide recycling rate and pollutant emission proportion.

3. The method of claim 1, wherein, The multi-index comprehensive evaluation method comprises an analytic hierarchy process (AHP); The comprehensive analysis and processing of the performance evaluation indexes in each dimension by using the multi-index comprehensive evaluation method comprises: A comprehensive performance evaluation problem is decomposed into a three-layer AHP structure through a ladder hierarchy model; the three-layer AHP structure comprises a target layer, a criterion layer and an index layer; the target layer represents system comprehensive performance; the criterion layer represents intermediate links for achieving the target, comprising energy storage density, energy conversion efficiency, system stability, economy and environmental protection; the index layer comprises specific performance evaluation indexes; A judgment matrix of the criterion layer and the index layer is established, and the weight values of each performance evaluation index are solved through a matrix eigenvalue; Based on the weight values, each performance evaluation index is weighted and summarized to obtain the comprehensive performance evaluation result of the adsorption compression carbon dioxide energy storage system.

4. The method of claim 3, wherein, The multi-index comprehensive evaluation method further comprises a fuzzy comprehensive evaluation method; The comprehensive analysis and processing of the performance evaluation indexes in each dimension by using the multi-index comprehensive evaluation method comprises: A membership function is generated based on the division points of the evaluation grades; and a membership degree matrix is generated based on the membership function; The weight values obtained by using the analytic hierarchy process are multiplied by the membership degree matrix to obtain a comprehensive evaluation vector; From the comprehensive evaluation vector, the evaluation grade with the highest membership degree is determined as the comprehensive performance evaluation result.

5. The method of claim 4, wherein, After the comprehensive performance evaluation result of the adsorption compression carbon dioxide energy storage system is obtained by using the multi-index comprehensive evaluation method, the method further comprises: The score distribution of the criterion layer in the analytic hierarchy process is obtained, and a preset diagnostic rule base is obtained; Based on the score distribution of the criterion layer and the diagnostic rule base, diagnostic analysis is performed to determine the system part to be optimized.

6. The method of claim 5, wherein, After the system part to be optimized is determined, the method further comprises: generating an optimization suggestion of the adsorption-compression carbon dioxide energy storage system based on the part to be optimized of the system and the diagnostic rule base; feeding back the optimization suggestion to a control system of the adsorption-compression carbon dioxide energy storage system for execution or to relevant operation and maintenance personnel.

7. The method according to any one of claims 1 to 6, characterized in that, The method further comprises: generating a performance evaluation report based on the comprehensive performance evaluation result, so that relevant personnel obtain the performance evaluation report under viewing or calling operation; obtaining key information in the performance evaluation report and converting the key information into an intuitive visual mode for display on a display.

8. An evaluation device for a compressed CO2 energy storage system, characterized by comprises: a system construction module configured to construct a performance evaluation index system of the adsorption-compression carbon dioxide energy storage system from multiple dimensions according to working principles and technical characteristics of the adsorption-compression carbon dioxide energy storage system; the performance evaluation index system comprises performance evaluation indexes in multiple dimensions; a data acquisition module configured to determine positions of various sensors in the adsorption-compression carbon dioxide energy storage system based on the performance evaluation indexes, and acquire system operation parameters corresponding to each performance evaluation index in real time based on the various sensors; an index calculation module configured to collect remaining performance evaluation data related to the adsorption-compression carbon dioxide energy storage system, and calculate the performance evaluation indexes in each dimension based on the system operation parameters and / or the remaining performance evaluation data according to a preset calculation formula; a comprehensive evaluation module configured to comprehensively analyze and process the performance evaluation indexes in each dimension by using a multi-index comprehensive evaluation method, to obtain a comprehensive performance evaluation result of the adsorption-compression carbon dioxide energy storage system.

9. A storage medium having at least one executable instruction stored therein, the executable instruction performing operations corresponding to the evaluation method of the compressed CO2 energy storage system according to any one of claims 1-7.

10. A computer device comprising a processor, a memory, a communication interface and a communication bus, the processor, the memory and the communication interface completing communication with each other through the communication bus; the memory is used to store at least one executable instruction, and the executable instruction makes the processor execute operations corresponding to the evaluation method of the compressed CO2 energy storage system according to any one of claims 1-7.

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