Energy storage system sustainability efficiency evaluation method, device, equipment, storage medium and program product

Abstract

The present invention discloses a method, device, equipment, medium and program product for evaluating the sustainability efficiency of an energy storage system. The method comprises: selecting multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system, the evaluation indicators comprising input indicators and output indicators, the output indicators comprising expected output indicators and unexpected output indicators, the sustainability evaluation dimensions comprising technical dimensions, economic dimensions, environmental dimensions and social dimensions, obtaining initial indicator parameters of each evaluation indicator based on a calculation model of each evaluation indicator, normalizing the initial indicator parameters to obtain target indicator parameters, adjusting a pre-constructed original evaluation model based on the unexpected output indicators to obtain a sustainability efficiency evaluation model, and inputting the target indicator parameters into the sustainability efficiency evaluation model, thereby realizing the sustainable efficiency evaluation of the energy storage system by selecting evaluation indicators from multiple sustainability dimensions, and effectively improving the efficiency evaluation accuracy of the energy storage system.

Description

Technical Field

[0001] The present invention relates to the technical field of energy storage systems, and in particular to a method, device, equipment, medium and program product for evaluating the sustainability efficiency of an energy storage system. Background Art

[0002] As the global energy mix shifts toward cleaner, lower-carbon energy, energy storage technology has become a key means of balancing the volatility of renewable energy generation and improving grid flexibility, reliability, and stability. However, energy storage systems themselves can consume significant amounts of resources, such as minerals, oil, and water, from manufacturing to operation and recycling. Assessing the sustainability and efficiency of energy storage systems is becoming increasingly important, and scientifically and effectively quantifying and evaluating their sustainability is crucial to the sustainable development of the energy storage industry.

[0003] Current energy storage system evaluations typically focus on the functional characteristics or economic evaluation of energy storage systems, and lack attention to sustainable dimensions (such as environmental and social dimensions). Current sustainability assessments often require a large amount of subjective and objective data, making data processing, analysis, and evaluation difficult, resulting in an inability to accurately evaluate the sustainability efficiency of energy storage systems. Summary of the Invention

[0004] The main purpose of the present invention is to provide a method, device, equipment, medium and program product for evaluating the sustainability efficiency of an energy storage system, aiming to solve the technical problem that the existing technology lacks attention to the sustainable dimension of the energy storage system, resulting in the inability to accurately evaluate the sustainability efficiency of the energy storage system.

[0005] To achieve the above objectives, the present invention provides a method for evaluating the sustainability efficiency of an energy storage system, the method comprising the following steps:

[0006] Selecting multiple evaluation indicators from the sustainability evaluation dimensions of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, the output indicators include expected output indicators and unexpected output indicators, and the sustainability evaluation dimensions include technical dimensions, economic dimensions, environmental dimensions, and social dimensions;

[0007] Constructing a calculation model corresponding to each evaluation indicator, and obtaining initial indicator parameters of each evaluation indicator based on the calculation model;

[0008] Normalizing the initial indicator parameters to obtain target indicator parameters;

[0009] Adjusting the pre-built original evaluation model based on the undesired output indicators to obtain a sustainability efficiency evaluation model;

[0010] The target indicator parameters are input into the sustainability efficiency evaluation model to perform sustainability efficiency evaluation on the energy storage system.

[0011] Optionally, the input indicators include a power density indicator, an energy density indicator, a levelized energy storage cost indicator and a cumulative energy demand indicator; the expected output indicator includes an employment indicator; the non-expected output indicator includes a global warming potential indicator; and the calculation model includes a levelized energy storage cost calculation model, a cumulative energy demand calculation model, a global warming potential value calculation model, and an employment calculation model.

[0012] Optionally, the levelized energy storage cost calculation model includes:

[0013]

[0014] in, Indicates the energy storage system Annual investment cost; Indicates the energy storage system Annual operation and maintenance costs; Indicates the energy storage system Annual charging costs; represents the recovery cost of the energy storage system; Indicates the energy storage system Total discharge volume per year; is the discount rate; is the life of the energy storage system;

[0015] The cumulative energy demand calculation model includes:

[0016]

[0017]

[0018]

[0019]

[0020] in, represents the energy demand of the energy storage system during the production phase, Refers to the first step required to manufacture an energy storage system The amount of material used, Refers to The unit energy demand of a material, Refers to the power consumption during the manufacturing process of the energy storage system. Refers to the power generation efficiency of a power plant; Indicates the energy requirements during the transportation of raw materials and finished products; Indicates the additional energy demand caused by charging and discharging losses during the use phase of the energy storage system. Refers to the electrical energy lost during charging and discharging of the energy storage system. Refers to the electrical energy charged into the energy storage system. Refers to the round-trip efficiency of the energy storage system, Refers to the primary energy consumed per unit of electrical energy. Indicates the energy consumed in the recovery phase of the energy storage system, Indicates the rated capacity of the energy storage system;

[0021] The global warming potential calculation model includes:

[0022]

[0023] in, Indicates the global warming potential value per unit rated capacity of the energy storage system, Indicates the Carbon emission factors of the materials;

[0024] The employment calculation model includes:

[0025]

[0026] in, It represents the number of jobs created by the unit rated power of the energy storage system; represents the total capital cost of the energy storage system; It represents the employment coefficient, specifically the number of jobs created by unit capital cost.

[0027] Optionally, the initial indicator parameters include initial input indicator parameters and initial output indicator parameters, and the target indicator parameters include target input indicator parameters and target output indicator parameters; and normalizing the initial indicator parameters to obtain target indicator parameters includes:

[0028] Normalize the initial input index parameters to obtain target input index parameters:

[0029]

[0030] in, Indicates the The energy storage system corresponds to the The initial input indicator parameters of the input indicators, Indicates that all energy storage systems are The minimum value of the input indicator, Indicates that all energy storage systems are The maximum value of the input index, Indicates the The energy storage system corresponds to the Target input indicator parameters for each input indicator;

[0031] The initial output indicator parameters are normalized to obtain the target output indicator parameters:

[0032]

[0033] in, Indicates the The energy storage system corresponds to the The initial output indicator parameters of the output indicators, Indicates that all energy storage systems are The minimum value of the output indicator, Indicates that all energy storage systems are The maximum value of the output indicator, Indicates the The energy storage system corresponds to the The target output indicator parameters of each input indicator.

[0034] Optionally, adjusting the pre-built original evaluation model based on the undesired output indicator to obtain a sustainability efficiency evaluation model includes:

[0035] Adjusting the objective function and constraint conditions in the pre-built original evaluation model based on the undesired output indicator to obtain an adjusted objective function and adjusted constraint conditions;

[0036] A sustainability efficiency evaluation model is constructed based on the adjusted objective function and the adjusted constraint conditions, and the sustainability efficiency evaluation model includes:

[0037]

[0038]

[0039]

[0040]

[0041]

[0042]

[0043]

[0044]

[0045]

[0046] in, Indicates the The sustainable efficiency value of the energy storage system is Indicates the The weight of the energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number. is a binary variable, Indicates the The expected output shortfall value of an expected output indicator, Representative The excess value of the unexpected output of the unexpected output indicator, Indicates the The excess value of the unexpected output of the unexpected output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system A normalized parameter of the undesirable output indicator, Representative The first energy storage system A normalized undesirable output indicator parameter.

[0047] Optionally, inputting the target indicator parameter into the sustainability efficiency evaluation model to perform sustainability efficiency evaluation on the energy storage system includes:

[0048] Filling missing data for the target indicator parameters;

[0049] Construct a standardized input matrix based on the target indicator parameters after missing data filling;

[0050] Inputting the standardized input matrix into the sustainability efficiency evaluation model to obtain the sustainability efficiency score, input redundancy value, expected output deficiency value, and unexpected output excess value of the energy storage system;

[0051] The energy storage system is evaluated for sustainability efficiency according to the sustainability efficiency score, the input redundancy value, the expected output deficiency value, and the unexpected output excess value.

[0052] In addition, to achieve the above-mentioned purpose, the present invention further proposes a device for evaluating the sustainability efficiency of an energy storage system, the device comprising:

[0053] a multi-dimensional indicator screening module, configured to screen multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, wherein the output indicators include expected output indicators and unexpected output indicators, and wherein the sustainability evaluation dimension includes technical dimension, economic dimension, environmental dimension, and social dimension;

[0054] An indicator parameter acquisition module is used to construct a calculation model corresponding to each evaluation indicator and obtain the initial indicator parameters of each evaluation indicator based on the calculation model;

[0055] A parameter processing module is used to normalize the initial indicator parameters to obtain target indicator parameters;

[0056] An evaluation model construction module, configured to adjust a pre-constructed original evaluation model based on the non-desired output indicator to obtain a sustainability efficiency evaluation model;

[0057] The energy storage system evaluation module is used to input the target indicator parameters into the sustainability efficiency evaluation model to perform sustainability efficiency evaluation on the energy storage system.

[0058] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for evaluating the sustainability efficiency of an energy storage system, which includes: a memory, a processor, and a computer program stored on the memory and executable on the processor, wherein the computer program is configured to implement the steps of the method for evaluating the sustainability efficiency of an energy storage system as described above.

[0059] In addition, to achieve the above objectives, the present application also proposes a computer-readable storage medium, on which a computer program is stored. When the computer program is executed by a processor, the steps of the energy storage system sustainability efficiency evaluation method as described above are implemented.

[0060] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program. When the computer program is executed by a processor, it implements the steps of the energy storage system sustainability efficiency assessment method as described above.

[0061] The present invention selects multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, the output indicators include expected output indicators and unexpected output indicators, and the sustainability evaluation dimensions include technical dimensions, economic dimensions, environmental dimensions and social dimensions. Initial indicator parameters of each evaluation indicator are obtained based on the calculation model corresponding to each evaluation indicator, the initial indicator parameters are normalized to obtain target indicator parameters, the pre-built original evaluation model is adjusted based on the unexpected output indicators to obtain a sustainability efficiency evaluation model, and the target indicator parameters are input into the sustainability efficiency evaluation model, thereby realizing the sustainable efficiency evaluation of the energy storage system by selecting evaluation indicators from multiple sustainability dimensions, effectively improving the efficiency evaluation accuracy of the energy storage system, eliminating the need to perform sustainability efficiency evaluation of the energy storage system based on complex subjective data and objective data, thereby greatly reducing the difficulty of evaluation and improving the evaluation efficiency of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0062] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0063] Figure 1 Schematic diagram of the structure of the energy storage system sustainability efficiency evaluation device in the hardware operating environment involved in the embodiment of the present invention;

[0064] Figure 2 Schematic diagram of a flow chart of an embodiment of a method for evaluating the sustainability efficiency of an energy storage system according to the present invention;

[0065] Figure 3 This is a structural block diagram of an energy storage system sustainability evaluation system in one embodiment of the present invention;

[0066] Figure 4 This is a structural block diagram of an embodiment of the energy storage system sustainability efficiency evaluation device of the present invention.

[0067] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0068] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0069] Reference Figure 1 , Figure 1 This is a schematic diagram of the structure of an energy storage system sustainability efficiency assessment device in the hardware operating environment involved in an embodiment of the present invention.

[0070] like Figure 1 As shown, the energy storage system sustainability efficiency assessment device may include: a processor 1001, such as a central processing unit (CPU), a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to enable communication between these components. The user interface 1003 may include a display and an input unit, such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a wireless fidelity (WI-FI) interface). The memory 1005 may be a high-speed random access memory (RAM) or a stable non-volatile memory (NVM), such as a disk drive. Optionally, the memory 1005 may be a storage device independent of the processor 1001.

[0071] Those skilled in the art will understand that Figure 1 The structure shown in the figure does not constitute a limitation on the energy storage system sustainability efficiency assessment device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0072] like Figure 1 As shown, the memory 1005 as a computer-readable storage medium may include an operating system, a network communication module, a user interface module, and an energy storage system sustainability efficiency evaluation program.

[0073] exist Figure 1In the energy storage system sustainability efficiency assessment device shown, the network interface 1004 is mainly used for data communication with the network server; the user interface 1003 is mainly used for data interaction with the user; the processor 1001 and the memory 1005 in the energy storage system sustainability efficiency assessment device of the present invention can be set in the energy storage system sustainability efficiency assessment device, and the energy storage system sustainability efficiency assessment device calls the energy storage system sustainability efficiency assessment program stored in the memory 1005 through the processor 1001, and executes the energy storage system sustainability efficiency assessment method provided by the embodiment of the present invention.

[0074] The embodiment of the present invention provides a method for evaluating the sustainability efficiency of an energy storage system, referring to Figure 2 , Figure 2 Schematic diagram of a flow chart of an embodiment of a method for evaluating the sustainability efficiency of an energy storage system according to the present invention.

[0075] In this embodiment, the energy storage system sustainability efficiency evaluation method includes the following steps:

[0076] Step S10: Filtering multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system.

[0077] It should be understood that the execution subject of this embodiment may be a computing service device with data processing, network communication, and program execution capabilities, such as a tablet computer, personal computer, mobile phone, etc., or a terminal electronic device capable of implementing the aforementioned functions. The following uses an energy storage system sustainability efficiency assessment device (hereinafter referred to as the assessment device) as an example to illustrate this embodiment and the following embodiments.

[0078] It should be noted that the evaluation indicators include input indicators and output indicators, the output indicators include expected output indicators and unexpected output indicators, and the sustainability evaluation dimensions include technical dimensions, economic dimensions, environmental dimensions and social dimensions.

[0079] It is understandable that the evaluation equipment can use statistical principles to select indicators that have a key impact on the sustainability of energy storage systems from the four dimensions of technology, economy, environment, and society based on data such as literature, survey reports, and expert interviews.

[0080] In some embodiments, the technical dimension includes a power density index and an energy density index; the economic dimension includes a levelized cost of storage (LCOS) index; the environmental dimension includes a cumulative energy demand (CED) index and a global warming potential (GWP) index; and the social dimension includes an employment index.

[0081] Step S20: constructing a calculation model corresponding to each evaluation indicator, and obtaining initial indicator parameters of each evaluation indicator based on the calculation model.

[0082] It should be noted that the evaluation equipment can construct a calculation model for the sustainability efficiency evaluation indicators of each energy storage system based on various evaluation indicators. Among them, power density and energy density are the basic functional characteristics of the energy storage system and can be directly obtained without separate calculation. The values of the remaining indicators need to be obtained by constructing a general calculation model.

[0083] In a specific implementation, the evaluation device can construct an input indicator calculation model and an output indicator calculation model, calculate the initial input indicator parameters based on the input indicator calculation model, and calculate the initial expected output indicator parameters and initial non-expected output indicator parameters based on the output indicator calculation model.

[0084] Furthermore, in order to accurately evaluate the energy storage system based on multiple indicators, in some embodiments, the input indicators include a power density indicator, an energy density indicator, a levelized energy storage cost indicator, and a cumulative energy demand indicator; the expected output indicator includes an employment indicator; the undesired output indicator includes a global warming potential indicator; and the calculation model includes a levelized energy storage cost calculation model, a cumulative energy demand calculation model, a global warming potential value calculation model, and an employment calculation model.

[0085] It should be noted that the power density index can be the power that a storage system can output per unit mass; the energy density index can be the energy that a storage system can store per unit mass; the levelized energy storage cost index can be used to evaluate the economic benefits of an energy storage system throughout its life cycle. This index allocates the initial investment cost, operation and maintenance costs, and the service life of the energy storage system to each unit of energy, thereby obtaining the average cost per unit of energy; the cumulative energy demand index can be the total primary energy consumed by the unit capacity of the energy storage system throughout its life cycle. Specifically, the energy demand in the production, transportation, recycling and other stages also needs to be considered.

[0086] It should be noted that the global warming potential indicator can be the contribution of the unit capacity of the energy storage system to global warming. In this embodiment, the carbon dioxide emissions per unit capacity of the energy storage system are used for calculation; the employment indicator can be the number of full-time equivalent jobs created per million RMB investment.

[0087] Furthermore, to accurately calculate the indicator parameters of each evaluation indicator, in some embodiments, the levelized energy storage cost is calculated by dividing the discounted total cost of investment, replacement, operation, charging, and recovery costs over the life cycle of the energy storage system by its cumulative discharge. The levelized energy storage cost calculation model includes:

[0088]

[0089] in, Indicates the energy storage system Annual investment cost; Indicates the energy storage system Annual operation and maintenance costs; Indicates the energy storage system Annual charging costs; represents the recovery cost of the energy storage system; Indicates the energy storage system Total discharge volume per year; is the discount rate; is the life of the energy storage system;

[0090] The cumulative energy demand of the energy storage system requires multiple stages such as production, transportation, and use. The cumulative energy demand calculation model includes:

[0091]

[0092]

[0093]

[0094]

[0095] in, represents the energy demand of the energy storage system during the production phase, Refers to the first step required to manufacture an energy storage system The amount of material used, Refers to The unit energy demand of a material, Refers to the power consumption during the manufacturing process of the energy storage system. Refers to the power generation efficiency of a power plant; Indicates the energy requirements during the transportation of raw materials and finished products; Indicates the additional energy demand caused by charging and discharging losses during the use phase of the energy storage system. Refers to the electrical energy lost during charging and discharging of the energy storage system. Refers to the electrical energy charged into the energy storage system. Refers to the round-trip efficiency of the energy storage system, Refers to the primary energy consumed per unit of electrical energy. Indicates the energy consumed in the recovery phase of the energy storage system, Indicates the rated capacity of the energy storage system;

[0096] Energy storage batteries have a significant impact on the environment during their production phase throughout their life cycle. This embodiment primarily considers the global warming potential (GWP) of the energy storage system during the production phase. This requires a thorough analysis of the materials required for the production and assembly of the energy storage system. The corresponding carbon emission factors can be obtained using databases such as Ecoinvent, GaBi, and ELCD. The GWP calculation model includes:

[0097]

[0098] in, Indicates the global warming potential value per unit rated capacity of the energy storage system, Indicates the Carbon emission factors of the materials;

[0099] Employment is a desired output indicator of energy storage systems and has a positive social impact. Studies have shown that employment data from energy storage systems can be estimated using their economic data. This embodiment uses the total capital cost (TCC) of the energy storage system to calculate its employment impact. The employment calculation model includes:

[0100]

[0101] in, It represents the number of jobs created by the unit rated power of the energy storage system; represents the total capital cost of the energy storage system; It represents the employment coefficient, specifically the number of jobs created by unit capital cost.

[0102] Step S30: normalizing the initial index parameters to obtain target index parameters.

[0103] It should be noted that this embodiment can use input and output indicators to calculate the efficiency value of the sustainability of the energy storage system. In order to eliminate the impact of excessive differences in the order of magnitude of data between indicators on the results, the collected data can be normalized and / or standardized in advance to obtain target indicator parameters.

[0104] Furthermore, in order to improve data quality and evaluation efficiency, in some embodiments, the initial indicator parameters include initial input indicator parameters and initial output indicator parameters, and the target indicator parameters include target input indicator parameters and target output indicator parameters. The above step S30 may include:

[0105] Step S31: normalizing the initial input index parameters to obtain target input index parameters;

[0106] Step S32: normalizing the initial output indicator parameters to obtain target output indicator parameters.

[0107] It should be noted that the order of magnitude of the input and output index values of the energy storage system may differ significantly, which will lead to inaccurate calculation results of the sustainability efficiency evaluation model. Therefore, the input and output values need to be normalized. This embodiment uses the Min-Max method to linearly map the input and output values to the interval [0, 1]. The initial input index parameters are normalized according to the following formula:

[0108]

[0109] in, Indicates the The energy storage system corresponds to the The initial input indicator parameters of the input indicators, Indicates that all energy storage systems are The minimum value of the input indicator, Indicates that all energy storage systems are The maximum value of the input index, , Indicates the The energy storage system corresponds to the Target input indicator parameters for each input indicator;

[0110] The initial output indicator parameters are normalized according to the following formula:

[0111]

[0112] in, Indicates the The energy storage system corresponds to the The initial output indicator parameters of the output indicators, Indicates that all energy storage systems are The minimum value of the output indicator, Indicates that all energy storage systems are The maximum value of the output indicator, ， , Indicates the The energy storage system corresponds to the The target output indicator parameters of each input indicator.

[0113] Step S40: adjusting the pre-built original evaluation model based on the non-desired output indicator to obtain a sustainability efficiency evaluation model.

[0114] It should be noted that the original evaluation model can be the Modified Slack-Based Measure Model (MSBM). The MSBM model combines the traditional SBM model and the Super SBM model, more accurately and comprehensively calculating the efficiency values of decision-making units while avoiding the influence of subjective weights between indicators on the results, thus being highly objective. However, the traditional MSBM model only analyzes desired outputs and cannot analyze undesired outputs, making it difficult to directly use for the sustainable efficiency evaluation of energy storage systems. This embodiment improves and adjusts the MSBM model to construct a sustainable efficiency evaluation model. The sustainable efficiency evaluation model can be the Undesirable Output MSBM (UO-MSBM) model.

[0115] Furthermore, in order to improve model performance and enhance the objectivity and accuracy of model evaluation, in some embodiments, step S40 may include:

[0116] Step S41: adjusting the objective function and constraint conditions in the pre-built original evaluation model based on the non-desired output indicator to obtain an adjusted objective function and adjusted constraint conditions;

[0117] Step S42: constructing a sustainability efficiency evaluation model based on the adjusted objective function and the adjusted constraint conditions.

[0118] It should be noted that this embodiment can incorporate the undesirable output indicators of the energy storage system into the objective function and constraints based on the traditional MSBM model, thereby adjusting the objective function and constraints of the original evaluation model. The sustainability efficiency evaluation model includes:

[0119]

[0120]

[0121]

[0122]

[0123]

[0124]

[0125]

[0126]

[0127]

[0128] in, Indicates the The sustainable efficiency value of the energy storage system is Indicates the The weight of the energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number. is a binary variable, Indicates the The expected output shortfall value of an expected output indicator, Representative The excess value of the unexpected output of the unexpected output indicator, Indicates the The excess value of the unexpected output of the unexpected output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system A normalized parameter of the undesirable output indicator, Representative The first energy storage system A normalized undesirable output indicator parameter.

[0129] Step S50: inputting the target indicator parameters into the sustainability efficiency evaluation model to perform sustainability efficiency evaluation on the energy storage system.

[0130] It should be noted that the evaluation device inputs the normalized indicator parameters (i.e., target indicator parameters) of each evaluation indicator into the sustainability efficiency evaluation model to obtain the efficiency value of each energy storage system from the sustainability perspective, and conducts a sustainability efficiency evaluation of the energy storage system based on the efficiency value.

[0131] Furthermore, in order to accurately evaluate the sustainable efficiency of the energy storage system, in some embodiments, step S50 may include:

[0132] Step S51: Filling missing data for the target indicator parameters;

[0133] Step S52: constructing a standardized input matrix based on the target indicator parameters after missing data filling;

[0134] Step S53: inputting the standardized input matrix into the sustainability efficiency evaluation model to obtain the sustainability efficiency score, input redundancy value, expected output deficiency value, and unexpected output excess value of the energy storage system;

[0135] Step S54: performing a sustainability efficiency evaluation on the energy storage system according to the sustainability efficiency score, the input redundancy value, the expected output deficiency value, and the unexpected output excess value.

[0136] In some embodiments, the evaluation device can obtain data such as carbon emission factors and energy demand through databases such as Ecoinvent and GaBi, and obtain information such as power density and energy density from the electronic product manual of the energy storage system. The DBSCAN algorithm is used to clean the data, perform Min-max normalization, and fill in missing data using the median. A standardized input matrix adapted to the UO-MSBM model is constructed to provide high-quality data input for model operations. Based on the UO-MSBM model and the standardized input matrix in the data processing module, the efficiency score, input redundancy, expected output shortfall, and unexpected output surplus of each energy storage system are calculated. The sustainability efficiency of multiple energy storage systems is compared using bar charts and radar charts, and improvement suggestions for energy storage projects are generated in combination with input redundancy and unexpected output surplus.

[0137] In some embodiments, the evaluation device can construct an energy storage system sustainability evaluation system, referring to Figure 3 , Figure 3 This is a structural diagram of the energy storage system sustainability evaluation system. The system includes four modules: data collection module, data processing module, sustainability evaluation module, and result analysis module.

[0138] Data collection module: This module obtains data such as carbon emission factors and energy demand through databases such as Ecoinvent and GaBi, and uses the electronic product manual of the energy storage system to obtain information such as power density and energy density;

[0139] Data processing module: Use the DBSCAN algorithm to clean the data, perform Min-max normalization, use the median to fill in missing data, and construct a standardized input matrix suitable for the UO-MSBM model to provide high-quality data input for model operation;

[0140] Model calculation module: Based on the UO-MSBM model and the standardized input matrix in the data processing module, it calculates the efficiency score, input redundancy, expected output shortfall, and unexpected output surplus of each energy storage system's sustainability.

[0141] Results Analysis Module: Uses bar charts and radar charts to compare the sustainability efficiency of multiple energy storage systems, and generates improvement suggestions for energy storage projects based on input redundancy and unexpected output excess.

[0142] This embodiment selects multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, the output indicators include expected output indicators and undesired output indicators, and the sustainability evaluation dimensions include technical dimensions, economic dimensions, environmental dimensions, and social dimensions. Initial indicator parameters of each evaluation indicator are obtained based on the calculation model corresponding to each evaluation indicator, the initial indicator parameters are normalized to obtain target indicator parameters, the pre-built original evaluation model is adjusted based on the undesired output indicators to obtain a sustainability efficiency evaluation model, and the target indicator parameters are input into the sustainability efficiency evaluation model, thereby selecting evaluation indicators from multiple sustainability dimensions to perform sustainability efficiency evaluation on the energy storage system, effectively improving the efficiency evaluation accuracy of the energy storage system, eliminating the need to perform sustainability efficiency evaluation on the energy storage system based on complex subjective data and objective data, thereby significantly reducing the difficulty of evaluation and improving the evaluation efficiency of the energy storage system.

[0143] In addition, an embodiment of the present invention further proposes a computer-readable storage medium, on which a program for evaluating the sustainability efficiency of an energy storage system is stored. When the program for evaluating the sustainability efficiency of an energy storage system is executed by a processor, the steps of the method for evaluating the sustainability efficiency of an energy storage system as described above are implemented.

[0144] The computer-readable storage medium provided herein may be, for example, a USB flash drive, but is not limited to electrical, magnetic, optical, electromagnetic, infrared, or semiconductor systems, systems, or devices, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this embodiment, the computer-readable storage medium may be any tangible medium that contains or stores a program that can be used by or in conjunction with an instruction execution system, system, or device. The program code contained on the computer-readable storage medium may be transmitted using any suitable medium, including, but not limited to, wires, optical cables, RF (Radio Frequency), etc., or any suitable combination thereof.

[0145] The computer-readable storage medium may be included in the energy storage system sustainability efficiency evaluation device; or may exist independently without being assembled into the energy storage system sustainability efficiency evaluation device.

[0146] In addition, an embodiment of the present invention further provides a computer program product, including an energy storage system sustainability efficiency evaluation program, which implements the steps of the energy storage system sustainability efficiency evaluation method described above when executed by a processor.

[0147] The specific implementation of the computer program product of the present invention is basically the same as the embodiments of the above-mentioned energy storage system sustainability efficiency assessment method, and will not be repeated here.

[0148] Reference Figure 4 , Figure 4 This is a structural block diagram of an embodiment of the energy storage system sustainability efficiency evaluation device of the present invention.

[0149] like Figure 4 As shown, the energy storage system sustainability efficiency evaluation device proposed in the embodiment of the present invention includes:

[0150] a multi-dimensional indicator screening module 10 for screening a plurality of evaluation indicators from the sustainability evaluation dimension of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, wherein the output indicators include expected output indicators and undesired output indicators, and wherein the sustainability evaluation dimension includes technical dimension, economic dimension, environmental dimension, and social dimension;

[0151] An indicator parameter acquisition module 20 is used to construct a calculation model corresponding to each evaluation indicator and obtain initial indicator parameters of each evaluation indicator based on the calculation model;

[0152] The parameter processing module 30 is used to normalize the initial indicator parameters to obtain target indicator parameters;

[0153] An evaluation model construction module 40 is configured to adjust the pre-constructed original evaluation model based on the non-desirable output indicator to obtain a sustainability efficiency evaluation model;

[0154] The energy storage system evaluation module 50 is configured to input the target indicator parameters into the sustainability efficiency evaluation model to perform sustainability efficiency evaluation on the energy storage system.

[0155] Furthermore, the input indicators include a power density indicator, an energy density indicator, a levelized energy storage cost indicator and a cumulative energy demand indicator; the expected output indicators include an employment indicator; the undesired output indicators include a global warming potential indicator; and the calculation models include a levelized energy storage cost calculation model, a cumulative energy demand calculation model, a global warming potential value calculation model and an employment calculation model.

[0156] Furthermore, the levelized energy storage cost calculation model includes:

[0157]

[0158] in, Indicates the energy storage system Annual investment cost; Indicates the energy storage system Annual operation and maintenance costs; Indicates the energy storage system Annual charging costs; represents the recovery cost of the energy storage system; Indicates the energy storage system Total discharge volume per year; is the discount rate; is the life of the energy storage system;

[0159] The cumulative energy demand calculation model includes:

[0160]

[0161]

[0162]

[0163]

[0164] in, represents the energy demand of the energy storage system during the production phase, Refers to the first step required to manufacture an energy storage system The amount of material used, Refers to The unit energy demand of a material, Refers to the power consumption during the manufacturing process of the energy storage system. Refers to the power generation efficiency of a power plant; Indicates the energy requirements during the transportation of raw materials and finished products; Indicates the additional energy demand caused by charging and discharging losses during the use phase of the energy storage system. Refers to the electrical energy lost during charging and discharging of the energy storage system. Refers to the electrical energy charged into the energy storage system. Refers to the round-trip efficiency of the energy storage system, Refers to the primary energy consumed per unit of electrical energy. Indicates the energy consumed in the recovery phase of the energy storage system, Indicates the rated capacity of the energy storage system;

[0165] The global warming potential calculation model includes:

[0166]

[0167] in, Indicates the global warming potential value per unit rated capacity of the energy storage system, Indicates the Carbon emission factors of the materials;

[0168] The employment calculation model includes:

[0169]

[0170] in, It represents the number of jobs created by the unit rated power of the energy storage system; represents the total capital cost of the energy storage system; It represents the employment coefficient, specifically the number of jobs created by unit capital cost.

[0171] Furthermore, the initial indicator parameters include initial input indicator parameters and initial output indicator parameters, and the target indicator parameters include target input indicator parameters and target output indicator parameters; the parameter processing module 30 is further configured to perform normalization processing on the initial input indicator parameters to obtain target input indicator parameters:

[0172]

[0173] in, Indicates the The energy storage system corresponds to the The initial input indicator parameters of the input indicators, Indicates that all energy storage systems are The minimum value of the input indicator, Indicates that all energy storage systems are The maximum value of the input index, Indicates the The energy storage system corresponds to the Target input indicator parameters for each input indicator;

[0174] The initial output indicator parameters are normalized to obtain the target output indicator parameters:

[0175]

[0176] in, Indicates the The energy storage system corresponds to the The initial output indicator parameters of the output indicators, Indicates that all energy storage systems are The minimum value of the output indicator, Indicates that all energy storage systems are The maximum value of the output indicator, Indicates the The energy storage system corresponds to the The target output indicator parameters of each input indicator.

[0177] Furthermore, the evaluation model construction module 40 is further configured to adjust the objective function and constraint conditions in the pre-constructed original evaluation model based on the undesired output indicator to obtain an adjusted objective function and adjusted constraint conditions;

[0178] A sustainability efficiency evaluation model is constructed based on the adjusted objective function and the adjusted constraint conditions, and the sustainability efficiency evaluation model includes:

[0179]

[0180]

[0181]

[0182]

[0183]

[0184]

[0185]

[0186]

[0187]

[0188] in, Indicates the The sustainable efficiency value of the energy storage system is Indicates the The weight of the energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number. is a binary variable, Indicates the The expected output shortfall value of an expected output indicator, Representative The excess value of the unexpected output of the unexpected output indicator, Indicates the The excess value of the unexpected output of the unexpected output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system A normalized parameter of the undesirable output indicator, Representative The first energy storage system A normalized undesirable output indicator parameter.

[0189] Furthermore, the energy storage system evaluation module 50 is also used to fill missing data for the target indicator parameters; construct a standardized input matrix based on the target indicator parameters after missing data filling; input the standardized input matrix into the sustainability efficiency evaluation model to obtain the sustainability efficiency score, input redundancy value, expected output deficiency value and unexpected output excess value of the energy storage system; and perform sustainability efficiency evaluation on the energy storage system based on the sustainability efficiency score, the input redundancy value, the expected output deficiency value and the unexpected output excess value.

[0190] This embodiment selects multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, the output indicators include expected output indicators and undesired output indicators, and the sustainability evaluation dimensions include technical dimensions, economic dimensions, environmental dimensions, and social dimensions. Initial indicator parameters of each evaluation indicator are obtained based on the calculation model corresponding to each evaluation indicator, the initial indicator parameters are normalized to obtain target indicator parameters, the pre-built original evaluation model is adjusted based on the undesired output indicators to obtain a sustainability efficiency evaluation model, and the target indicator parameters are input into the sustainability efficiency evaluation model, thereby selecting evaluation indicators from multiple sustainability dimensions to perform sustainability efficiency evaluation on the energy storage system, effectively improving the efficiency evaluation accuracy of the energy storage system, eliminating the need to perform sustainability efficiency evaluation on the energy storage system based on complex subjective data and objective data, thereby significantly reducing the difficulty of evaluation and improving the evaluation efficiency of the energy storage system.

[0191] The energy storage system sustainability efficiency assessment device provided in this application utilizes the energy storage system sustainability efficiency assessment method described in the aforementioned embodiment, and is capable of resolving the technical issues surrounding energy storage system sustainability efficiency assessment. Compared to the prior art, the energy storage system sustainability efficiency assessment device provided in this application offers the same beneficial effects as the energy storage system sustainability efficiency assessment method described in the aforementioned embodiment. Other technical features of the energy storage system sustainability efficiency assessment device are the same as those disclosed in the aforementioned embodiment, and are not further detailed here.

[0192] It should be understood that the above is only an example and does not constitute any limitation to the technical solution of the present invention. In specific applications, those skilled in the art can make settings as needed, and the present invention does not impose any limitation on this.

[0193] It should be noted that the workflow described above is merely illustrative and does not limit the scope of protection of the present invention. In practical applications, technicians in this field can select part or all of it according to actual needs to achieve the purpose of the embodiment scheme, and no limitation is made here.

[0194] In addition, for technical details not fully described in this embodiment, reference can be made to the energy storage system sustainability efficiency evaluation method provided in any embodiment of the present invention, and will not be repeated here.

[0195] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or system comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or system. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or system comprising the element.

[0196] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0197] Through the above description of the embodiments, those skilled in the art will clearly understand that the above-mentioned embodiments and methods can be implemented by means of software plus the necessary general-purpose hardware platform. Of course, hardware can also be used, but in many cases the former is a more preferred embodiment. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product is stored in a storage medium (such as read-only memory / random access memory, a magnetic disk, or an optical disk) and includes a number of instructions for enabling a terminal device (which can be a mobile phone, computer, server, air conditioner, or network device, etc.) to execute the methods described in the various embodiments of the present invention.

[0198] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A method for evaluating the sustainability efficiency of an energy storage system, characterized in that: The energy storage system sustainability efficiency evaluation method includes: Selecting multiple evaluation indicators from the sustainability evaluation dimensions of the energy storage system, wherein the evaluation indicators include input indicators and output indicators, the output indicators include expected output indicators and unexpected output indicators, and the sustainability evaluation dimensions include technical dimensions, economic dimensions, environmental dimensions, and social dimensions; Constructing a calculation model corresponding to each evaluation indicator, and obtaining initial indicator parameters of each evaluation indicator based on the calculation model; Normalizing the initial indicator parameters to obtain target indicator parameters; The pre-constructed original evaluation model is adjusted based on the non-expected output indicators to obtain a sustainability efficiency evaluation model, wherein the original evaluation model is an MSBM model, which is constructed based on the SBM model and the Super SBM model, and is used to analyze and evaluate the expected output indicators. The sustainability efficiency evaluation model is a UO-MSBM model, which is used to analyze and evaluate the expected output indicators and non-expected output indicators; Inputting the target indicator parameters into the sustainability efficiency evaluation model to perform a sustainability efficiency evaluation on the energy storage system; The input indicators include a power density indicator, an energy density indicator, a levelized energy storage cost indicator, and a cumulative energy demand indicator; the expected output indicator includes an employment indicator; the undesired output indicator includes a global warming potential indicator; and the calculation model includes a levelized energy storage cost calculation model, a cumulative energy demand calculation model, a global warming potential calculation model, and an employment calculation model; The pre-built original evaluation model is adjusted based on the non-desired output indicator to obtain a sustainability efficiency evaluation model, including: Adjusting the objective function and constraint conditions in the pre-built original evaluation model based on the undesired output indicator to obtain an adjusted objective function and adjusted constraint conditions; A sustainability efficiency evaluation model is constructed based on the adjusted objective function and the adjusted constraint conditions, and the sustainability efficiency evaluation model includes: in, Indicates the The sustainable efficiency value of the energy storage system, Indicates the The weight of the energy storage system, represents the input redundancy value, is a preset positive number. is a binary variable, Indicates the The expected output shortfall value of an expected output indicator, Representative The excess value of the unexpected output of the unexpected output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system Normalized undesirable output indicator parameters, Representative The first energy storage system A normalized undesirable output indicator parameter.

2. The method for evaluating the sustainability efficiency of an energy storage system according to claim 1, wherein: The levelized energy storage cost calculation model includes: in, Indicates the energy storage system Annual investment cost; Indicates the energy storage system Annual operation and maintenance costs; Indicates the energy storage system Annual charging costs; represents the recovery cost of the energy storage system; Indicates the energy storage system Total discharge volume per year; is the discount rate; is the life of the energy storage system; The cumulative energy demand calculation model includes: in, represents the energy demand of the energy storage system during the production phase, Refers to the first step required to manufacture an energy storage system The amount of material used, Refers to The unit energy demand of a material, Refers to the power consumption during the manufacturing process of the energy storage system. Refers to the power generation efficiency of a power plant; Indicates the energy requirements during the transportation of raw materials and finished products; Indicates the additional energy demand caused by charging and discharging losses during the use phase of the energy storage system. Refers to the electrical energy lost during charging and discharging of the energy storage system. Refers to the electrical energy charged into the energy storage system. Refers to the round-trip efficiency of the energy storage system, Refers to the primary energy consumed per unit of electrical energy. Indicates the energy consumed in the recovery phase of the energy storage system, Indicates the rated capacity of the energy storage system; The global warming potential calculation model includes: in, Indicates the global warming potential value per unit rated capacity of the energy storage system, Indicates the Carbon emission factors of the materials; The employment calculation model includes: in, It represents the number of jobs created by the unit rated power of the energy storage system; represents the total capital cost of the energy storage system; It represents the employment coefficient, specifically the number of jobs created by unit capital cost.

3. The method for evaluating the sustainability efficiency of an energy storage system according to claim 2, wherein: The initial indicator parameters include initial input indicator parameters and initial output indicator parameters, and the target indicator parameters include target input indicator parameters and target output indicator parameters. The normalization of the initial indicator parameters to obtain the target indicator parameters includes: Normalize the initial input index parameters to obtain target input index parameters: in, Indicates the The energy storage system corresponds to the The initial input indicator parameters of the input indicators, Indicates that all energy storage systems are The minimum value of the input indicator, Indicates that all energy storage systems are The maximum value of the input index, Indicates the The energy storage system corresponds to the Target input indicator parameters for each input indicator; The initial output indicator parameters are normalized to obtain the target output indicator parameters: in, Indicates the The energy storage system corresponds to the The initial output indicator parameters of the output indicators, Indicates that all energy storage systems are The minimum value of the output indicator, Indicates that all energy storage systems are The maximum value of the output indicator, Indicates the The energy storage system corresponds to the The target output indicator parameters of each input indicator.

4. The method for evaluating the sustainability efficiency of an energy storage system according to claim 3, wherein inputting the target indicator parameter into the sustainability efficiency evaluation model to perform the sustainability efficiency evaluation on the energy storage system comprises: Filling missing data for the target indicator parameters; Construct a standardized input matrix based on the target indicator parameters after missing data filling; Inputting the standardized input matrix into the sustainability efficiency evaluation model to obtain the sustainability efficiency score, input redundancy value, expected output deficiency value, and unexpected output excess value of the energy storage system; The energy storage system is evaluated for sustainability efficiency according to the sustainability efficiency score, the input redundancy value, the expected output deficiency value, and the unexpected output excess value.

5. A device for evaluating the sustainability efficiency of an energy storage system, characterized in that: The energy storage system sustainability efficiency evaluation device includes: a multi-dimensional indicator screening module, configured to screen multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system, the evaluation indicators including input indicators and output indicators, the output indicators including expected output indicators and undesired output indicators, the sustainability evaluation dimensions including technical dimensions, economic dimensions, environmental dimensions, and social dimensions, the input indicators including power density indicators, energy density indicators, levelized energy storage cost indicators, and cumulative energy demand indicators, the expected output indicators including employment indicators, and the undesired output indicators including global warming potential indicators; An indicator parameter acquisition module is used to construct a calculation model corresponding to each evaluation indicator and obtain initial indicator parameters for each evaluation indicator based on the calculation model. The calculation model includes a levelized energy storage cost calculation model, a cumulative energy demand calculation model, a global warming potential calculation model, and an employment calculation model. A parameter processing module is used to normalize the initial indicator parameters to obtain target indicator parameters; An evaluation model construction module is used to adjust a pre-constructed original evaluation model based on the non-expected output indicators to obtain a sustainability efficiency evaluation model, wherein the original evaluation model is an MSBM model, which is constructed based on the SBM model and the Super SBM model, and is used to analyze and evaluate the expected output indicators. The sustainability efficiency evaluation model is a UO-MSBM model, which is used to analyze and evaluate the expected output indicators and non-expected output indicators; an energy storage system evaluation module, configured to input the target indicator parameters into the sustainability efficiency evaluation model to perform a sustainability efficiency evaluation on the energy storage system; The evaluation model construction module is further configured to adjust the objective function and constraint conditions in the pre-constructed original evaluation model based on the undesired output indicator to obtain an adjusted objective function and adjusted constraint conditions; and construct a sustainability efficiency evaluation model based on the adjusted objective function and the adjusted constraint conditions, wherein the sustainability efficiency evaluation model includes: in, Indicates the The sustainable efficiency value of the energy storage system is Indicates the The weight of the energy storage system, represents the input redundancy value, is a preset positive number. is a binary variable, Indicates the The expected output shortfall value of an expected output indicator, Representative The excess value of the unexpected output of the unexpected output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized output indicator parameters, Representative The first energy storage system The normalized input index parameters, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system The normalized expected output indicator parameter, Representative The first energy storage system A normalized parameter of the undesirable output indicator, Representative The first energy storage system A normalized undesirable output indicator parameter.

6. An energy storage system sustainability efficiency assessment device, characterized in that: The energy storage system sustainability efficiency assessment device includes: a memory, a processor, and an energy storage system sustainability efficiency assessment program stored in the memory and executable on the processor. The energy storage system sustainability efficiency assessment program is configured to implement the energy storage system sustainability efficiency assessment method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that The computer-readable storage medium stores an energy storage system sustainability efficiency evaluation program, which, when executed by a processor, implements the energy storage system sustainability efficiency evaluation method according to any one of claims 1 to 4.

8. A computer program product, characterized in that The computer program product includes an energy storage system sustainability efficiency evaluation program, which, when executed by a processor, implements the steps of the energy storage system sustainability efficiency evaluation method according to any one of claims 1 to 4.

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