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

Abstract

The invention discloses an energy storage system sustainability efficiency assessment method, device, equipment, medium and program product, the method comprising: screening out a plurality of assessment indexes from a sustainability assessment dimension of an energy storage system, the assessment indexes comprising an input index and an output index, the output index comprising an expected output index and an unexpected output index, the sustainability evaluation dimensions comprise a technical dimension, an economic dimension, an environment dimension and a social dimension, obtaining initial index parameters of each evaluation index based on the calculation model of each evaluation index, performing normalization processing on the initial index parameters to obtain target index parameters, and adjusting a pre-constructed original evaluation model based on an unexpected output index to obtain a target evaluation model. And obtaining a sustainable efficiency evaluation model, and inputting the target index parameters into the sustainable efficiency evaluation model, thereby screening out evaluation indexes from multiple sustainable dimensions to carry out sustainable efficiency evaluation on the energy storage system, 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 structure transforms toward cleaner and lower-carbon energy, energy storage technology has become a core means to balance the volatility of renewable energy generation and improve the flexibility, reliability and stability of the power grid. However, the energy storage system itself may consume a large amount of minerals, oil, water and other resources from manufacturing, operation to recycling. The sustainable efficiency assessment of energy storage systems is becoming increasingly important. Scientific and effective quantification and assessment of the sustainability of energy storage systems is of great significance to the sustainable development of the energy storage industry.

[0003] Current energy storage system evaluations usually focus on the functional characteristics or economic evaluation of energy storage systems, and lack attention to sustainable dimensions (such as environmental, social, etc.). Current sustainability assessments often require a large amount of subjective and objective data, so data processing, analysis and evaluation are difficult, resulting in an inability to accurately evaluate the sustainable 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 sustainable efficiency of an energy storage system, aiming to solve the technical problem that the prior art lacks attention to the sustainable dimension of the energy storage system, resulting in the inability to accurately evaluate the sustainable efficiency of the energy storage system.

[0005] To achieve the above object, the present invention provides a method for evaluating the sustainable efficiency of an energy storage system, the method comprising the following steps: Selecting 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; 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; Adjusting the pre-built original evaluation model based on the non-desirable output indicator to obtain a sustainable efficiency evaluation model; The target indicator parameters are input into the sustainable efficiency evaluation model to perform sustainable efficiency evaluation on the energy storage system.

[0006] 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.

[0007] Optionally, 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 cost; 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 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; It represents 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. represents 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, It represents the global warming potential value per unit rated capacity of the energy storage system. Indicates 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.

[0008] 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 the normalizing the initial indicator parameters to obtain the target indicator parameters includes: The initial input index parameters are normalized to obtain the target input index parameters: in, Indicates The energy storage system corresponds to 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 energy storage system corresponds to 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 energy storage system corresponds to 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 index, Indicates The energy storage system corresponds to The target output indicator parameters of each input indicator.

[0009] Optionally, adjusting the pre-built original evaluation model based on the non-desired output indicator to obtain a sustainable efficiency evaluation model includes: Adjusting the objective function and constraint conditions in the pre-constructed original evaluation model based on the non-desired output indicator to obtain an adjusted objective function and an adjusted constraint condition; 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 sustainable efficiency value of the energy storage system is Indicates The weight of each energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number, is a binary variable, Indicates The expected output shortfall value of the expected output indicator, Representative The excess value of the undesirable output of the undesirable output indicator, Indicates The excess value of the undesirable output of the undesirable output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized undesirable output indicator parameter, Representative The energy storage system A normalized parameter of the undesirable output indicator.

[0010] Optionally, the step of inputting the target indicator parameter into the sustainable efficiency evaluation model to perform sustainable efficiency evaluation on the energy storage system includes: 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 sustainable efficiency of the energy storage system is evaluated according to the sustainable efficiency score, the input redundancy value, the expected output deficiency value and the unexpected output excess value.

[0011] In addition, to achieve the above-mentioned purpose, the present invention also proposes a device for evaluating the sustainable efficiency of an energy storage system, the device for evaluating the sustainable efficiency of an energy storage system comprising: A multi-dimensional indicator screening module, used to screen out 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 undesired output indicators, and wherein the sustainability evaluation dimension includes technical dimension, economic dimension, environmental dimension and social dimension; 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; A parameter processing module is used to normalize the initial indicator parameters to obtain target indicator parameters; An evaluation model building module, used to adjust the pre-built original evaluation model based on the non-desired output indicator to obtain a sustainability efficiency evaluation model; 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.

[0012] In addition, to achieve the above-mentioned purpose, the present application also proposes a device for evaluating the sustainable efficiency of an energy storage system, the device comprising: a memory, a processor, and a computer program stored on the memory and executable on the processor, the computer program being configured to implement the steps of the method for evaluating the sustainable efficiency of an energy storage system as described above.

[0013] 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 method for evaluating the sustainable efficiency of an energy storage system as described above are implemented.

[0014] In addition, to achieve the above-mentioned purpose, the present application also provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the steps of the method for evaluating the sustainable efficiency of an energy storage system as described above are implemented.

[0015] 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. The 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 the target indicator parameters, the pre-built original evaluation model is adjusted based on the unexpected output indicators to obtain the 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 the evaluation indicators from multiple sustainability dimensions, effectively improving the efficiency evaluation accuracy of the energy storage system, and eliminating the need to evaluate the sustainability efficiency of the energy storage system based on complex subjective data and objective data, thereby greatly reducing the evaluation difficulty and improving the evaluation efficiency of the energy storage system. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, for ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0017] Figure 1 It is a structural diagram of an energy storage system sustainability efficiency evaluation device in a hardware operating environment involved in an embodiment of the present invention; Figure 2 It is a flow chart of an embodiment of a method for evaluating the sustainable efficiency of an energy storage system of the present invention; Figure 3 It is a structural block diagram of the energy storage system sustainability evaluation system in one embodiment of the present invention; Figure 4 It is a structural block diagram of an embodiment of the energy storage system sustainability efficiency assessment device of the present invention.

[0018] The realization of the purpose, functional features and advantages of the present invention will be further explained in conjunction with embodiments and with reference to the accompanying drawings. DETAILED DESCRIPTION

[0019] It should be understood that the specific embodiments described herein are only used to explain the present invention, and are not used to limit the present invention.

[0020] Reference Figure 1 , Figure 1 It 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.

[0021] like Figure 1 As shown, the energy storage system sustainable 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. Among them, the communication bus 1002 is used to realize the connection and communication between these components. The user interface 1003 may include a display screen (Display), an input unit such as a keyboard (Keyboard), and the optional user interface 1003 may also include a standard wired interface and a wireless interface. The network interface 1004 may optionally include a standard wired interface and a wireless interface (such as a wireless fidelity (Wireless-Fidelity, WI-FI) interface). The memory 1005 may be a high-speed random access memory (Random Access Memory, RAM), or a stable non-volatile memory (Non-Volatile Memory, NVM), such as a disk storage. The memory 1005 may also be a storage device independent of the aforementioned processor 1001.

[0022] Those skilled in the art will understand that Figure 1The structure shown in the figure does not constitute a limitation on the energy storage system sustainability efficiency assessment device, and may include more or less components than those shown in the figure, or combine certain components, or arrange the components differently.

[0023] 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 assessment program.

[0024] exist Figure 1 In 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.

[0025] The embodiment of the present invention provides a method for evaluating the sustainable efficiency of an energy storage system, referring to Figure 2 , Figure 2 It is a flow chart of an embodiment of a method for evaluating sustainable efficiency of an energy storage system of the present invention.

[0026] In this embodiment, the energy storage system sustainable efficiency evaluation method includes the following steps: Step S10: Filter out multiple evaluation indicators from the sustainability evaluation dimension of the energy storage system.

[0027] It should be understood that the execution subject of this embodiment can be a computing service device with data processing, network communication and program running functions, such as a tablet computer, a personal computer, a mobile phone, etc., or a terminal electronic device capable of realizing the above functions, etc. The following takes the energy storage system sustainability efficiency evaluation device (hereinafter referred to as the evaluation device) as an example to illustrate this embodiment and the following embodiments.

[0028] 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.

[0029] It is understandable that the evaluation equipment can use statistical principles to select indicators that have a key impact on the sustainability of the energy storage system from the four dimensions of technology, economy, environment, and society based on data such as literature, survey reports, and expert interviews.

[0030] In some embodiments, the technical dimension includes a power density index and an energy density index; the economic dimension is 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.

[0031] Step S20: construct a calculation model corresponding to each evaluation indicator, and obtain initial indicator parameters of each evaluation indicator based on the calculation model.

[0032] It should be noted that the evaluation equipment can construct a calculation model for the sustainable efficiency evaluation index 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 building a general calculation model.

[0033] In a specific implementation, the evaluation device can construct an input indicator calculation model and an output indicator calculation model, calculate initial input indicator parameters based on the input indicator calculation model, and calculate initial expected output indicator parameters and initial non-expected output indicator parameters based on the output indicator calculation model.

[0034] Furthermore, in order to accurately evaluate the energy storage system from 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.

[0035] It should be noted that the power density index can be the power that can be output by the energy storage system per unit mass; the energy density index can be the energy that can be stored by the energy storage system per unit mass; the levelized energy storage cost index can be an assessment of 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.

[0036] It should be noted that the global warming potential index 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 index can be the number of full-time equivalent jobs created per million RMB investment.

[0037] Furthermore, in order 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 during the life cycle of the energy storage system by its cumulative discharge. 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 cost; 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 of the energy storage system requires multiple stages such as production, transportation, and use. 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 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; It represents 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. represents the energy consumed in the recovery phase of the energy storage system, Indicates the rated capacity of the energy storage system; Energy storage batteries have a considerable impact on the environment during the production process throughout their life cycle. This embodiment mainly considers the global warming potential of the energy storage system during the production stage. It is necessary to fully analyze 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 global warming potential calculation model includes: in, It represents the global warming potential value per unit rated capacity of the energy storage system. Indicates Carbon emission factors of the materials; Employment is an expected output indicator of the energy storage system, which has a positive social impact. Studies have shown that the employment data of the energy storage system can be estimated using its economic data. This embodiment uses the total capital cost (TCC) of the energy storage system to calculate its employment promotion data. 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.

[0038] Step S30: normalizing the initial index parameters to obtain target index parameters.

[0039] It should be noted that the present 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 influence of the large order of magnitude difference between the indicators on the results, the collected data can be normalized and / or standardized in advance to obtain the target indicator parameters.

[0040] 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: Step S31: normalizing the initial input index parameters to obtain target input index parameters; Step S32: normalizing the initial output indicator parameters to obtain target output indicator parameters.

[0041] It should be noted that the order of magnitude of the input and output index values ​​of the energy storage system may differ too much, which will lead to inaccurate calculation results of the sustainability efficiency evaluation model. Therefore, the input and output values ​​need to be normalized. In this embodiment, the Min-max method is used to linearly map the input and output values ​​to the [0,1] interval. The initial input index parameters are normalized according to the following formula: in, Indicates The energy storage system corresponds to 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 energy storage system corresponds to Target input indicator parameters for each input indicator; The initial output indicator parameters are normalized according to the following formula: in, Indicates The energy storage system corresponds to 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 index, ， , Indicates The energy storage system corresponds to The target output indicator parameters of each input indicator.

[0042] Step S40: adjusting the pre-constructed original evaluation model based on the non-desired output index to obtain a sustainable efficiency evaluation model.

[0043] It should be noted that the original evaluation model can be a MSBM (Modified Slack-Based MeasureModel) model. The MSBM model combines the traditional SBM model and the Super SBM model into one, more accurately and comprehensively calculating the efficiency value of the decision-making unit, while avoiding the influence of the subjective weights between indicators on the results, and has strong objectivity. However, the traditional MSBM model only analyzes the expected output, but cannot analyze the undesired output, and is difficult to be directly used for the sustainable efficiency evaluation of the energy storage system. This embodiment improves and adjusts the MSBM model to construct a sustainable efficiency evaluation model, and the sustainable efficiency evaluation model can be a UO-MSBM (Undesirable output MSBM) model.

[0044] Furthermore, in order to improve the model performance and improve the objectivity and accuracy of the model evaluation, in some embodiments, the above step S40 may include: Step S41: adjusting the objective function and constraint conditions in the pre-constructed original evaluation model based on the non-desired output indicator to obtain an adjusted objective function and adjusted constraint conditions; Step S42: constructing a sustainable efficiency evaluation model based on the adjusted objective function and the adjusted constraint conditions.

[0045] It should be noted that, in this embodiment, based on the traditional MSBM model, the non-desirable output index of the energy storage system can be incorporated into the objective function and constraint conditions to adjust the objective function and constraint conditions of the original evaluation model. The sustainable efficiency evaluation model includes: in, Indicates The sustainable efficiency value of the energy storage system is Indicates The weight of each energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number, is a binary variable, Indicates The expected output shortfall value of the expected output indicator, Representative The excess value of the undesirable output of the undesirable output indicator, Indicates The excess value of the undesirable output of the undesirable output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized undesirable output indicator parameter, Representative The energy storage system A normalized parameter of the undesirable output indicator.

[0046] Step S50: inputting the target indicator parameters into the sustainable efficiency evaluation model to perform sustainable efficiency evaluation on the energy storage system.

[0047] It should be noted that the evaluation device inputs the normalized index parameters (i.e., target index parameters) of each evaluation index into the sustainable efficiency evaluation model to obtain the efficiency value of each energy storage system from the perspective of sustainability, and performs sustainable efficiency evaluation on the energy storage system based on the efficiency value.

[0048] Furthermore, in order to accurately evaluate the sustainable efficiency of the energy storage system, in some embodiments, the above step S50 may include: Step S51: Filling missing data for the target indicator parameter; Step S52: constructing a standardized input matrix based on the target indicator parameters after missing data filling; 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; Step S54: Evaluate the sustainability efficiency of 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.

[0049] 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 use the electronic product manual of the energy storage system to obtain information such as power density and energy density. The DBSCAN algorithm is used to clean the data, Min-max normalize the data, and fill in the missing data with 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 efficiency of the sustainability 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.

[0050] In some embodiments, the evaluation device can construct an energy storage system sustainability evaluation system, referring to Figure 3 , Figure 3 The structure diagram of the energy storage system sustainability evaluation system is as follows. The system includes four modules: data collection module, data processing module, sustainability evaluation module, and result analysis module. Data collection module: 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 using the electronic product manual of the energy storage system; Data processing module: Use DBSCAN algorithm to clean the data, perform Min-max normalization, use the median to fill in the missing data, build a standardized input matrix suitable for the UO-MSBM model, and provide high-quality data input for model operation; 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; Results Analysis Module: Use bar charts and radar charts to compare the sustainable efficiency of multiple energy storage systems, and generate improvement suggestions for energy storage projects based on input redundancy and unexpected output excess.

[0051] 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 evaluate the sustainability efficiency of the energy storage system, effectively improving the accuracy of the efficiency evaluation of the energy storage system, and eliminating the need to evaluate the sustainability efficiency 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.

[0052] In addition, an embodiment of the present invention further proposes a computer-readable storage medium, on which a sustainable efficiency evaluation program for an energy storage system is stored. When the sustainable efficiency evaluation program for an energy storage system is executed by a processor, the steps of the sustainable efficiency evaluation method for an energy storage system as described above are implemented.

[0053] The computer-readable storage medium provided in the present application 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 of the above. More specific examples of computer-readable storage media may include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM: Random Access Memory), a read-only memory (ROM: Read Only Memory), an erasable programmable read-only memory (EPROM: Erasable Programmable Read Only Memory or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM: CD-Read Only Memory), an optical storage device, a magnetic storage device, or any suitable combination of the above. In this embodiment, the computer-readable storage medium may be any tangible medium containing or storing a program, which may be used by or in combination with an instruction execution system, system or device. The program code contained on the computer-readable storage medium may be transmitted using any appropriate medium, including but not limited to: wires, optical cables, RF (Radio Frequency: Radio Frequency), etc., or any suitable combination of the above.

[0054] The computer-readable storage medium may be included in the energy storage system sustainability efficiency assessment device; or may exist independently without being assembled into the energy storage system sustainability efficiency assessment device.

[0055] In addition, an embodiment of the present invention further provides a computer program product, including an energy storage system sustainability efficiency assessment program, which implements the steps of the energy storage system sustainability efficiency assessment method described above when executed by a processor.

[0056] The specific implementation of the computer program product of the present invention is basically the same as the various embodiments of the above-mentioned energy storage system sustainability efficiency assessment method, and will not be repeated here.

[0057] Reference Figure 4 , Figure 4 It is a structural block diagram of an embodiment of the energy storage system sustainability efficiency assessment device of the present invention.

[0058] like Figure 4 As shown, the energy storage system sustainability efficiency evaluation device proposed in the embodiment of the present invention includes: A multi-dimensional indicator screening module 10 is used to screen out 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; The indicator parameter acquisition module 20 is used to construct a calculation model corresponding to each evaluation indicator and obtain the initial indicator parameter of each evaluation indicator based on the calculation model; The parameter processing module 30 is used to normalize the initial indicator parameters to obtain target indicator parameters; An evaluation model building module 40 is used to adjust the pre-built original evaluation model based on the non-desired output indicator to obtain a sustainability efficiency evaluation model; The energy storage system evaluation module 50 is used to input the target indicator parameters into the sustainable efficiency evaluation model to perform sustainable efficiency evaluation on the energy storage system.

[0059] 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 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.

[0060] Furthermore, 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 cost; 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 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; It represents 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. represents 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, It represents the global warming potential value per unit rated capacity of the energy storage system. Indicates 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.

[0061] 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 used to normalize the initial input indicator parameters to obtain target input indicator parameters: in, Indicates The energy storage system corresponds to 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 energy storage system corresponds to 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 energy storage system corresponds to 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 index, Indicates The energy storage system corresponds to The target output indicator parameters of each input indicator.

[0062] Furthermore, the evaluation model construction module 40 is further used to adjust the objective function and constraint conditions in the pre-constructed original evaluation model based on the non-desirable 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 sustainable efficiency value of the energy storage system is Indicates The weight of each energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number, is a binary variable, Indicates The expected output shortfall value of the expected output indicator, Representative The excess value of the undesirable output of the undesirable output indicator, Indicates The excess value of the undesirable output of the undesirable output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized undesirable output indicator parameter, Representative The energy storage system A normalized parameter of the undesirable output indicator.

[0063] 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 the missing data are filled; 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 surplus value of the energy storage system; and perform 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 surplus value.

[0064] 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 evaluate the sustainability efficiency of the energy storage system, effectively improving the accuracy of the efficiency evaluation of the energy storage system, and eliminating the need to evaluate the sustainability efficiency 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.

[0065] The energy storage system sustainability efficiency assessment device provided in the present application adopts the energy storage system sustainability efficiency assessment method in the above-mentioned embodiment, and can solve the technical problem of energy storage system sustainability efficiency assessment. Compared with the prior art, the beneficial effects of the energy storage system sustainability efficiency assessment device provided in the present application are the same as the beneficial effects of the energy storage system sustainability efficiency assessment method provided in the above-mentioned embodiment, and the other technical features in the energy storage system sustainability efficiency assessment device are the same as the features disclosed in the above-mentioned embodiment method, which will not be repeated here.

[0066] It should be understood that the above is only an example and does not constitute any limitation on the technical solution of the present invention. In specific applications, technicians in this field can make settings as needed, and the present invention does not limit this.

[0067] 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 them according to actual needs to achieve the purpose of the present embodiment, and no limitation is made here.

[0068] In addition, for technical details not fully described in this embodiment, reference can be made to the method for evaluating the sustainable efficiency of an energy storage system provided in any embodiment of the present invention, and will not be repeated here.

[0069] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or system including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or system. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or system including the element.

[0070] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.

[0071] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as a 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, a computer, a server, an air conditioner, or a network device, etc.) to execute the methods described in each embodiment of the present invention.

[0072] 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 specification 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 sustainable efficiency of an energy storage system, characterized in that: The energy storage system sustainability efficiency evaluation method comprises: Selecting 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; 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; Adjusting the pre-built original evaluation model based on the non-desirable output indicator to obtain a sustainable efficiency evaluation model; The target indicator parameters are input into the sustainable efficiency evaluation model to perform sustainable efficiency evaluation on the energy storage system.

2. The method for evaluating the sustainable efficiency of an energy storage system according to claim 1, characterized in that: 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; 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.

3. The method for evaluating the sustainable efficiency of an energy storage system according to claim 2, characterized in that: 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 cost; 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 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; It represents 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. represents 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, It represents the global warming potential value per unit rated capacity of the energy storage system. Indicates 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.

4. The method for evaluating the sustainable efficiency of an energy storage system according to any one of claims 1 to 3, characterized in that: 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: The initial input index parameters are normalized to obtain the target input index parameters: in, Indicates The energy storage system corresponds to 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 energy storage system corresponds to 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 energy storage system corresponds to 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 index, Indicates The energy storage system corresponds to The target output indicator parameters of each input indicator.

5. The method for evaluating the sustainable efficiency of an energy storage system according to any one of claims 1 to 3, characterized in that: The pre-built original evaluation model is adjusted based on the non-desired output indicator to obtain a sustainable efficiency evaluation model, including: Adjusting the objective function and constraint conditions in the pre-constructed original evaluation model based on the non-desired output indicator to obtain an adjusted objective function and an adjusted constraint condition; 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 sustainable efficiency value of the energy storage system is Indicates The weight of each energy storage system, represents the input redundancy value, Indicates the output deficiency value, is a preset positive number, is a binary variable, Indicates The expected output shortfall value of the expected output indicator, Representative The excess value of the undesirable output of the undesirable output indicator, Indicates The excess value of the undesirable output of the undesirable output indicator, Represents the number of expected output indicators, represents the number of undesirable output indicators, Represents the number of input indicators, Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized output indicator parameters are: Representative The energy storage system The normalized input index parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized expected output indicator parameter, Representative The energy storage system The normalized undesirable output indicator parameter, Representative The energy storage system A normalized parameter of the undesirable output indicator.

6. The method for evaluating the sustainable efficiency of an energy storage system according to any one of claims 1 to 3, characterized in that: The step of inputting the target indicator parameter into the sustainable efficiency evaluation model to perform sustainable efficiency evaluation on the energy storage system includes: 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 sustainable efficiency of the energy storage system is evaluated according to the sustainable efficiency score, the input redundancy value, the expected output deficiency value and the unexpected output excess value.

7. A device for evaluating the sustainability efficiency of an energy storage system, characterized in that: The energy storage system sustainability efficiency evaluation device comprises: A multi-dimensional indicator screening module, used to screen out 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 undesired output indicators, and wherein the sustainability evaluation dimension includes technical dimension, economic dimension, environmental dimension and social dimension; 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; A parameter processing module is used to normalize the initial indicator parameters to obtain target indicator parameters; An evaluation model building module, used to adjust the pre-built original evaluation model based on the non-desired output indicator to obtain a sustainable efficiency evaluation model; 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.

8. 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, wherein 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 6.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores an energy storage system sustainability efficiency assessment program, and when the energy storage system sustainability efficiency assessment program is executed by a processor, the energy storage system sustainability efficiency assessment method according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that The computer program product comprises an energy storage system sustainability efficiency assessment program, and when the energy storage system sustainability efficiency assessment program is executed by a processor, the steps of the energy storage system sustainability efficiency assessment method according to any one of claims 1 to 6 are implemented.

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