Zero-carbon park evaluation method and system

Abstract

The invention relates to the technical field of zero-carbon emission park development evaluation, and provides a zero-carbon park evaluation method and system, and the method comprises the steps: building a basic data model of a zero-carbon park; policy subsidy data information of the area where the park is located is collected and arranged; setting an evaluation index system containing policy subsidy data information; adjusting the basic data model according to the policy subsidy data information, and calculating the state of each index under the influence of the policy subsidy data through the evaluation index system; and comprehensively considering various indexes by using a multi-attribute decision analysis method to obtain a comprehensive evaluation result of the zero-carbon park. According to the zero-carbon park evaluation method, the influence of policy factors on park operation can be more comprehensively considered, so that the evaluation result is more in line with the actual situation, and a scientific decision basis is provided for the government and enterprises. In addition, the method can promote sustainable development of the zero-carbon park, improves environmental benefits and economic benefits of the park, and is helpful for promoting development of green low-carbon economy.

Description

Technical Field

[0001] The present invention relates to the technical field of zero-carbon emission park development evaluation, and in particular to a zero-carbon park evaluation method and system. Background Art

[0002] With the global concern about climate change and the increasing demand for renewable energy, zero-carbon parks have received widespread attention as an important model for achieving low-carbon development. A zero-carbon park refers to a demonstration project that achieves regional carbon neutrality by integrating carbon neutrality measures such as energy conservation, emission reduction, carbon fixation, and carbon sinks through digital means, and promoting low-carbon development of industries, green energy transformation, and circular utilization of resources through intelligent management within a certain area through the integrated application of technical measures in multiple fields such as energy, industry, construction, transportation, waste treatment, and ecology, and innovative practices of management mechanisms. However, existing evaluation methods often ignore the impact of policy subsidies on the economy and sustainability of zero-carbon parks, resulting in the evaluation results being unable to fully reflect the actual operation of the park. Summary of the invention

[0003] The purpose of the present invention is to solve at least one technical problem in the background technology and to provide a zero-carbon park evaluation method and system.

[0004] To achieve the above object, the present invention provides a zero-carbon park evaluation method, comprising:

[0005] Establish the basic data model of zero-carbon park;

[0006] Collect and organize policy subsidy data and information in the area where the park is located;

[0007] Establish an evaluation index system containing policy subsidy data information;

[0008] Adjust the basic data model according to the policy subsidy data information, and calculate the status of various economic indicators and environmental indicators in the basic data model under the influence of policy subsidy data through the evaluation index system;

[0009] The TOPSIS multi-attribute decision analysis method is used to comprehensively consider various indicators and obtain the comprehensive evaluation results of the zero-carbon park;

[0010] The TOPSIS multi-attribute decision analysis method comprises:

[0011] Step 1: Positive processing, unifying indicator types, and eliminating the impact of dimensions; three zero-carbon parks A, B, and C were evaluated, and the indicator results are as follows:

[0012]

[0013] Step 2: Use the following formula for standardization:

[0014]

[0015] Among them, r ij is the matrix element in the i-th row and j-th column of the matrix after normalization, x ij is the matrix element of the original matrix in the i-th row and j-th column, min(x j ) is the minimum value of the jth column of the original matrix, max(x j ) is the maximum value of the jth column of the original matrix, and the standardized matrix R is obtained;

[0016] Step 3: Calculate the scores and normalize them to obtain the weighted normalized matrix Z;

[0017] Step 4: Calculate the positive ideal solution and the negative ideal solution, the positive ideal solution: Z+ = (1,1,1,1), the negative ideal solution: Z- = (0,0,0,0);

[0018] Step 5: Calculate the distance. Use the following formula to calculate the distance from each zero-carbon park to the positive ideal solution and the negative ideal solution:

[0019]

[0020] Among them, D i + is the distance from park i to the positive ideal solution, D i ― is the distance from park i to the negative ideal solution, z ij is the matrix element in the i-th row and j-th column of the Z matrix;

[0021] Step 6: Calculate the relative closeness and sort. Use the following formula to calculate the relative closeness:

[0022]

[0023] Among them, N i The closer the solution is to the ideal solution, the larger the value is, the closer the zero-carbon park is to the ideal solution and the farther away from the negative ideal solution.

[0024] After obtaining the relative closeness of each plan, sort them in order from large to small to get the scores of different zero-carbon parks. The parks ranked at the front have higher evaluation values.

[0025] According to one aspect of the present invention, the basic data model includes basic data information on the park's energy consumption, carbon emissions, renewable energy utilization rate, and energy-saving and emission-reduction measures.

[0026] According to one aspect of the present invention, the evaluation index system includes calculating and evaluating economic indicators and calculating and evaluating environmental indicators.

[0027] According to one aspect of the present invention, the economic performance index calculation formula is:

[0028]

[0029] Where NPV is the net present value, R t represents the net cash inflow in year t, i represents the discount rate, n represents the life cycle of the project, C0 represents the initial investment cost, and t represents year.

[0030] According to one aspect of the present invention, the environmental index calculation formula is:

[0031] ΔC emi =C cmi_base ―C coef *E emi_savings ;

[0032] Where, ΔC emi is the carbon emission reduction; C cmi_base is the baseline emission, which refers to the carbon emissions without taking any energy-saving and emission-reduction measures; E emi_savings is the energy saving, which refers to the amount of energy consumption reduced through energy-saving and emission-reduction measures. coef It is the carbon emission coefficient, which refers to the carbon emissions generated per unit of energy consumption.

[0033] According to one aspect of the present invention, the calculation formula of the economic index under the influence of policy subsidy data information is:

[0034]

[0035] Among them, NPV subsidy is the economic index after considering policy subsidies, NPV is the net present value without considering policy subsidies, S t represents the policy subsidy amount in the tth year, i represents the discount rate, and n represents the project life cycle.

[0036] To achieve the above objectives, the present invention also provides a zero-carbon park evaluation system, comprising:

[0037] Basic data model construction module, to establish the basic data model of zero-carbon park;

[0038] The policy subsidy data acquisition module collects and organizes policy subsidy data information in the area where the park is located;

[0039] Evaluation index system setting module, which sets the evaluation index system containing policy subsidy data information;

[0040] The indicator calculation module adjusts the basic data model according to the policy subsidy data information, and calculates the status of various economic indicators and environmental indicators in the basic data model under the influence of policy subsidy data through the evaluation indicator system;

[0041] The zero-carbon park evaluation module uses the TOPSIS multi-attribute decision analysis method to comprehensively consider various indicators and obtain the comprehensive evaluation results of the zero-carbon park;

[0042] The TOPSIS multi-attribute decision analysis method comprises:

[0043] Step 1: Positive processing, unifying indicator types, and eliminating the impact of dimensions; three zero-carbon parks A, B, and C were evaluated, and the indicator results are as follows:

[0044]

[0045] Step 2: Use the following formula for standardization:

[0046]

[0047] Among them, r ij is the matrix element in the i-th row and j-th column of the matrix after normalization, x ij is the matrix element of the original matrix in the i-th row and j-th column, min(x j ) is the minimum value of the jth column of the original matrix, max(x j ) is the maximum value of the jth column of the original matrix, and the standardized matrix R is obtained;

[0048] Step 3: Calculate the scores and normalize them to obtain the weighted normalized matrix Z;

[0049] Step 4: Calculate the positive ideal solution and the negative ideal solution, the positive ideal solution: Z+ = (1,1,1,1), the negative ideal solution: Z- = (0,0,0,0);

[0050] Step 5: Calculate the distance. Use the following formula to calculate the distance from each zero-carbon park to the positive ideal solution and the negative ideal solution:

[0051]

[0052] Among them, D i + is the distance from park i to the positive ideal solution, D i ― is the distance from park i to the negative ideal solution, z ij is the matrix element in the i-th row and j-th column of the Z matrix;

[0053] Step 6: Calculate the relative closeness and sort. Use the following formula to calculate the relative closeness:

[0054]

[0055] Among them, N i The closer the solution is to the ideal solution, the larger the value is, the closer the zero-carbon park is to the ideal solution and the farther away from the negative ideal solution.

[0056] After obtaining the relative closeness of each plan, sort them in order from large to small to get the scores of different zero-carbon parks. The parks ranked at the front have higher evaluation values.

[0057] To achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the zero-carbon park evaluation method as described above when executed by the processor.

[0058] To achieve the above objectives, the present invention further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the zero-carbon park evaluation method as described above is implemented.

[0059] According to the scheme of the present invention, the present invention provides a zero-carbon park evaluation method including policy subsidies, which can more comprehensively consider the impact of policy factors on the operation of the park, so that the evaluation results are more in line with the actual situation, and provide a scientific decision-making basis for the government and enterprises. In addition, the method can promote the sustainable development of zero-carbon parks, improve the environmental and economic benefits of the parks, and help promote the development of a green and low-carbon economy. BRIEF DESCRIPTION OF THE DRAWINGS

[0060] Figure 1 A flowchart schematically shows a zero-carbon park evaluation method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] The present invention will now be discussed with reference to exemplary embodiments. It should be understood that the embodiments discussed are only to enable those skilled in the art to better understand and thus implement the present invention, rather than implying any limitation on the scope of the present invention.

[0062] As used herein, the term “including” and variations thereof are to be interpreted as open-ended terms meaning “including, but not limited to.” The term “based on” is to be interpreted as “based, at least in part, on.” The terms “one embodiment” and “an embodiment” are to be interpreted as “at least one embodiment.”

[0063] Figure 1 The flowchart schematically shows a zero-carbon park evaluation method according to an embodiment of the present invention. Figure 1As shown, in this embodiment, the zero-carbon park evaluation method includes:

[0064] Establish the basic data model of zero-carbon park;

[0065] Collect and organize policy subsidy data information in the area where the park is located (including tax incentives, financial subsidies, green credit support, etc.);

[0066] Establish an evaluation index system containing policy subsidy data information;

[0067] Adjust the basic data model according to the policy subsidy data information, and calculate the status of various economic indicators and environmental indicators in the basic data model under the influence of policy subsidy data through the evaluation index system;

[0068] The TOPSIS (Technique for Order Preference by Similarity to an Ideal Solution) multi-attribute decision analysis method is used to comprehensively consider various indicators and obtain the comprehensive evaluation results of the zero-carbon park;

[0069] TOPSIS multi-attribute decision analysis method, including:

[0070] Step 1: Positive processing, unifying indicator types, and eliminating the impact of dimensions; three zero-carbon parks A, B, and C were evaluated, and the indicator results are as follows:

[0071]

[0072] Step 2: Use the following formula for standardization:

[0073]

[0074] Among them, r ij is the matrix element in the i-th row and j-th column of the matrix after normalization, x ij is the matrix element of the original matrix in the i-th row and j-th column, min(x j ) is the minimum value of the jth column of the original matrix, max(x j ) is the maximum value of the jth column of the original matrix, and the standardized matrix R is obtained;

[0075] Step 3: Calculate the scores and normalize them to obtain the weighted normalized matrix Z;

[0076] Step 4: Calculate the positive ideal solution and the negative ideal solution, the positive ideal solution: Z+ = (1,1,1,1), the negative ideal solution: Z- = (0,0,0,0);

[0077] Step 5: Calculate the distance. Use the following formula to calculate the distance from each zero-carbon park to the positive ideal solution and the negative ideal solution:

[0078]

[0079] Among them, D i + is the distance from park i to the positive ideal solution, D i ― is the distance from park i to the negative ideal solution, z ij is the matrix element in the i-th row and j-th column of the Z matrix;

[0080] Step 6: Calculate the relative closeness and sort. Use the following formula to calculate the relative closeness:

[0081]

[0082] Among them, N i The closer the solution is to the optimal solution (i.e., the solution where all indicators reach the optimal value), the farther away from the negative ideal solution (i.e., the solution where all indicators reach the worst value).

[0083] After obtaining the relative closeness of each plan, sort them in order from large to small to get the scores of different zero-carbon parks. The parks ranked at the front have higher evaluation values.

[0084] Such a plan can provide decision makers with suggestions for optimizing the policy subsidy structure and improving the sustainability of the park by comparing and analyzing the impact of different policy subsidy data on the comprehensive performance of the zero-carbon park, thereby promoting the sustainable development of the zero-carbon park.

[0085] Furthermore, according to an embodiment of the present invention, the basic data model includes basic data information of the park's energy consumption, carbon emissions, renewable energy utilization rate, and energy-saving and emission reduction measures.

[0086] Furthermore, according to one embodiment of the present invention, the evaluation index system includes calculating and evaluating economic indicators (including cost-benefit analysis, return on investment, etc.) and calculating and evaluating environmental indicators (including carbon emissions, carbon footprint, etc.).

[0087] Further, according to an embodiment of the present invention, the economic performance index calculation formula is:

[0088]

[0089] Where NPV is the net present value, R t represents the net cash inflow in year t, i represents the discount rate, n represents the life cycle of the project, C0 represents the initial investment cost, and t represents year.

[0090] Further, according to an embodiment of the present invention, the environmental index calculation formula is:

[0091] ΔC emi =C cmi_base ―C coef *E emi_savings ;

[0092] Where, ΔC emi is the carbon emission reduction; C cmi_base is the baseline emission, which refers to the carbon emissions without taking any energy-saving and emission-reduction measures; E emi_savings is the energy saving, which refers to the amount of energy consumption reduced through energy-saving and emission-reduction measures. coef It is the carbon emission coefficient, which refers to the carbon emissions generated per unit of energy consumption.

[0093] Further, according to an embodiment of the present invention, the calculation formula of the economic index under the influence of policy subsidy data information is:

[0094]

[0095] Among them, NPV subsidy is the economic index after considering policy subsidies, NPV is the net present value without considering policy subsidies, S t represents the policy subsidy amount in the tth year, i represents the discount rate, and n represents the project life cycle.

[0096] According to the above scheme of the present invention, the zero-carbon park evaluation method containing policy subsidies of the present invention can more comprehensively consider the impact of policy factors on the operation of the park, so that the evaluation results are more in line with the actual situation, and provide a scientific decision-making basis for the government and enterprises. In addition, the method can promote the sustainable development of zero-carbon parks, improve the environmental and economic benefits of the parks, and help promote the development of a green and low-carbon economy.

[0097] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a zero-carbon park evaluation system, comprising:

[0098] Basic data model construction module, to establish the basic data model of zero-carbon park;

[0099] The policy subsidy data acquisition module collects and organizes policy subsidy data information in the area where the park is located;

[0100] Evaluation index system setting module, which sets the evaluation index system containing policy subsidy data information;

[0101] The indicator calculation module adjusts the basic data model according to the policy subsidy data information, and calculates the status of various economic indicators and environmental indicators in the basic data model under the influence of policy subsidy data through the evaluation indicator system;

[0102] The zero-carbon park evaluation module uses the TOPSIS multi-attribute decision analysis method to comprehensively consider various indicators and obtain the comprehensive evaluation results of the zero-carbon park;

[0103] TOPSIS multi-attribute decision analysis method, including:

[0104] Step 1: Positive processing, unifying indicator types, and eliminating the impact of dimensions; three zero-carbon parks A, B, and C were evaluated, and the indicator results are as follows:

[0105]

[0106] Step 2: Use the following formula for standardization:

[0107]

[0108] Among them, r ij is the matrix element in the i-th row and j-th column of the matrix after normalization, x ij is the matrix element of the original matrix in the i-th row and j-th column, min(x j ) is the minimum value of the jth column of the original matrix, max(x j ) is the maximum value of the jth column of the original matrix, and the standardized matrix R is obtained;

[0109] Step 3: Calculate the scores and normalize them to obtain the weighted normalized matrix Z;

[0110] Step 4: Calculate the positive ideal solution and the negative ideal solution, the positive ideal solution: Z+ = (1,1,1,1), the negative ideal solution: Z- = (0,0,0,0);

[0111] Step 5: Calculate the distance. Use the following formula to calculate the distance from each zero-carbon park to the positive ideal solution and the negative ideal solution:

[0112]

[0113] Among them, D i + is the distance from park i to the positive ideal solution, D i ― is the distance from park i to the negative ideal solution, z ij is the matrix element in the i-th row and j-th column of the Z matrix;

[0114] Step 6: Calculate the relative closeness and sort. Use the following formula to calculate the relative closeness:

[0115]

[0116] Among them, N iThe closer the solution is to the optimal solution (i.e., the solution where all indicators reach the optimal value), the farther away from the negative ideal solution (i.e., the solution where all indicators reach the worst value).

[0117] After obtaining the relative closeness of each plan, sort them in order from large to small to get the scores of different zero-carbon parks. The parks ranked at the front have higher evaluation values.

[0118] Furthermore, according to an embodiment of the present invention, the basic data model includes basic data information of the park's energy consumption, carbon emissions, renewable energy utilization rate, and energy-saving and emission reduction measures.

[0119] Furthermore, according to one embodiment of the present invention, the evaluation index system includes calculating and evaluating economic indicators (including cost-benefit analysis, return on investment, etc.) and calculating and evaluating environmental indicators (including carbon emissions, carbon footprint, etc.).

[0120] Further, according to an embodiment of the present invention, the economic performance index calculation formula is:

[0121]

[0122] Where NPV is the net present value, R t represents the net cash inflow in year t, i represents the discount rate, n represents the life cycle of the project, C0 represents the initial investment cost, and t represents year.

[0123] Further, according to an embodiment of the present invention, the environmental index calculation formula is:

[0124] ΔC emi =C cmi_base ―C coef *E emi_savings ;

[0125] Where, ΔC emi is the carbon emission reduction; C cmi_base is the baseline emission, which refers to the carbon emissions without taking any energy-saving and emission-reduction measures; E emi_savings is the energy saving, which refers to the amount of energy consumption reduced through energy-saving and emission-reduction measures. coef It is the carbon emission coefficient, which refers to the carbon emissions generated per unit of energy consumption.

[0126] Further, according to an embodiment of the present invention, the calculation formula of the economic index under the influence of policy subsidy data information is:

[0127]

[0128] Among them, NPVsubsidy is the economic index after considering policy subsidies, NPV is the net present value without considering policy subsidies, S t represents the policy subsidy amount in the tth year, i represents the discount rate, and n represents the project life cycle.

[0129] According to the above scheme of the present invention, the zero-carbon park evaluation method containing policy subsidies of the present invention can more comprehensively consider the impact of policy factors on the operation of the park, so that the evaluation results are more in line with the actual situation, and provide a scientific decision-making basis for the government and enterprises. In addition, the method can promote the sustainable development of zero-carbon parks, improve the environmental and economic benefits of the parks, and help promote the development of a green and low-carbon economy.

[0130] Furthermore, to achieve the above objectives, the present invention also provides an electronic device, including a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the zero-carbon park evaluation method as described above is implemented.

[0131] Furthermore, to achieve the above-mentioned purpose, the present invention also provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the zero-carbon park evaluation method as described above is implemented.

[0132] Based on the above solution of the present invention, the technical solution of the present invention is described in detail in the form of a specific embodiment as follows.

[0133] Example 1

[0134] The evaluation method of the present invention is applied in a newly built zero-carbon park. First, the construction and operation data of the park are collected, including energy consumption, carbon emissions, etc., and the policy subsidy data information of the region is sorted out.

[0135] Calculate the economic indicators without policy subsidies. Assume that the initial investment cost C0 of the zero-carbon park is 10 million yuan and the expected cash flow R t 2 million yuan in the first year, 3 million yuan in the second year, 4 million yuan in the third year, 5 million yuan in the fourth year, and 6 million yuan in the fifth year. n represents the project life cycle of 5 years, and i is a discount rate of 8%. Calculate the present value of the cash flow each year and add them up to obtain the net present value.

[0136] NPV = (185.94 + 257.41 + 310.65 + 361.77 + 411.49) - 1000 = 5.2626 million yuan;

[0137] Calculate the economic indicators considering policy subsidies. Assume that the policy subsidies are for 3 years, the subsidy amount decreases year by year, and the total subsidy does not exceed 1.5 million. The subsidy amount in the first year is 500,000 yuan, the subsidy amount in the second year is 400,000 yuan, and the subsidy amount in the third year is 250,000 yuan. The discount rate is 8%. Calculate the economic indicators after considering the policy subsidies, NPV subsidy =(46.30+35.39+21.47)+526.26=6.2942 million yuan;

[0138] Calculate the environmental indicators considering policy subsidies, assuming C cmi_base The baseline emission is 200,000 tons, E emi_savings The energy loss saved is 15,000 kWh, C coef The carbon emission coefficient is 0.85 tons / kWh, then ΔC emi Carbon Emission Reduction

[0139] ΔC emi =200000-0.85*15000=187250 tons;

[0140] Secondly, the basic data model of the zero-carbon park is established based on the above data information, and the model is adjusted through the policy subsidy data information and the data status after the policy subsidy data information is calculated to reflect the impact of the policy subsidy. Then, the economic and environmental indicators of the park are comprehensively evaluated using the hierarchical analysis method. Finally, based on the evaluation results, suggestions for optimizing policy subsidies are put forward to improve the overall sustainability of the park.

[0141] Those skilled in the art will appreciate that the modules and algorithm steps described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered to be beyond the scope of the present invention.

[0142] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the above-described devices and equipment can refer to the corresponding processes in the aforementioned method implementation methods, and will not be repeated here.

[0143] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the modules is only a logical function division. There may be other division methods in actual implementation, such as multiple modules or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or modules, which can be electrical, mechanical or other forms.

[0144] The modules described as separate components may or may not be physically separated, and the components shown as modules may or may not be physical modules, that is, they may be located in one place or distributed on multiple network modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the embodiments of the present invention.

[0145] In addition, each functional module in the embodiment of the present invention may be integrated into one processing module, or each module may exist physically separately, or two or more modules may be integrated into one module.

[0146] If the functions are implemented in the form of software function modules and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention can be essentially or partly embodied in the form of a software product that contributes to the prior art. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server, or network device, etc.) to perform all or part of the steps of the energy-saving signal sending / receiving method of each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, ROM, RAM, magnetic disks, or optical disks.

[0147] The above description is only a preferred embodiment of the present application and an explanation of the technical principles used. Those skilled in the art should understand that the scope of the invention involved in the present application is not limited to the technical solution formed by a specific combination of the above technical features, but should also cover other technical solutions formed by any combination of the above technical features or their equivalent features without departing from the inventive concept. For example, the above features are replaced with the technical features with similar functions disclosed in this application (but not limited to) by each other.

[0148] It should be understood that the size of the serial numbers of each step in the content of the invention and the implementation methods of the present invention does not absolutely mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the implementation methods of the present invention.

Claims

1. The zero-carbon park evaluation method is characterized by: include: Establish the basic data model of zero-carbon park; Collect and organize policy subsidy data and information in the area where the park is located; Establish an evaluation index system containing policy subsidy data information; Adjust the basic data model according to the policy subsidy data information, and calculate the status of various economic indicators and environmental indicators in the basic data model under the influence of policy subsidy data through the evaluation index system; The TOPSIS multi-attribute decision analysis method is used to comprehensively consider various indicators and obtain the comprehensive evaluation results of the zero-carbon park; The TOPSIS multi-attribute decision analysis method comprises: Step 1: Positive processing, unifying indicator types, and eliminating the impact of dimensions; three zero-carbon parks A, B, and C were evaluated, and the indicator results are as follows: Step 2: Use the following formula for standardization: Among them, r ij is the matrix element in the i-th row and j-th column of the matrix after normalization, x ij is the matrix element of the original matrix in the i-th row and j-th column, min(x j ) is the minimum value of the jth column of the original matrix, max(x j ) is the maximum value of the jth column of the original matrix, and the standardized matrix R is obtained; Step 3: Calculate the scores and normalize them to obtain the weighted normalized matrix Z; Step 4: Calculate the positive ideal solution and the negative ideal solution, the positive ideal solution: Z+ = (1,1,1,1), the negative ideal solution: Z- = (0,0,0,0); Step 5: Calculate the distance. Use the following formula to calculate the distance from each zero-carbon park to the positive ideal solution and the negative ideal solution: Among them, D i + is the distance from park i to the positive ideal solution, D i ― is the distance from park i to the negative ideal solution, z ij is the matrix element in the i-th row and j-th column of the Z matrix; Step 6: Calculate the relative closeness and sort. Use the following formula to calculate the relative closeness: Among them, N i The closer the solution is to the ideal solution, the larger the value is, the closer the zero-carbon park is to the ideal solution and the farther away from the negative ideal solution. After obtaining the relative closeness of each plan, sort them in order from large to small to get the scores of different zero-carbon parks. The parks ranked at the front have higher evaluation values.

2. The zero-carbon park evaluation method according to claim 1, characterized in that: The basic data model includes basic data information on the park's energy consumption, carbon emissions, renewable energy utilization rate, and energy-saving and emission-reduction measures.

3. The zero-carbon park evaluation method according to claim 1, characterized in that: The evaluation index system includes calculation and evaluation of economic indicators and calculation and evaluation of environmental indicators.

4. The zero-carbon park evaluation method according to claim 3, characterized in that: The economic performance index calculation formula is: Where NPV is the net present value, R t represents the net cash inflow in year t, i represents the discount rate, n represents the life cycle of the project, C0 represents the initial investment cost, and t represents year.

5. The zero-carbon park evaluation method according to claim 3, characterized in that: The environmental index calculation formula is: ΔC emi =C cmi_base ―C coef *E emi_savings ; Where, ΔC emi is the carbon emission reduction; C cmi_base is the baseline emission, which refers to the carbon emissions without taking any energy-saving and emission-reduction measures; E emi_savings is the energy saving, which refers to the amount of energy consumption reduced through energy-saving and emission-reduction measures. coef It is the carbon emission coefficient, which refers to the carbon emissions generated per unit of energy consumption.

6. The zero-carbon park evaluation method according to any one of claims 3 to 5, characterized in that: The calculation formula of the economic index under the influence of policy subsidy data information is: Among them, NPV subsidy is the economic index after considering policy subsidies, NPV is the net present value without considering policy subsidies, S t represents the policy subsidy amount in the tth year, i represents the discount rate, and n represents the project life cycle.

7. Zero-carbon park evaluation system, characterized by: include: Basic data model construction module, to establish the basic data model of zero-carbon park; The policy subsidy data acquisition module collects and organizes policy subsidy data information in the area where the park is located; Evaluation index system setting module, which sets the evaluation index system containing policy subsidy data information; The indicator calculation module adjusts the basic data model according to the policy subsidy data information, and calculates the status of various economic indicators and environmental indicators in the basic data model under the influence of policy subsidy data through the evaluation indicator system; The zero-carbon park evaluation module uses the TOPSIS multi-attribute decision analysis method to comprehensively consider various indicators and obtain the comprehensive evaluation results of the zero-carbon park; The TOPSIS multi-attribute decision analysis method comprises: Step 1: Positive processing, unifying indicator types, and eliminating the impact of dimensions; three zero-carbon parks A, B, and C were evaluated, and the indicator results are as follows: Step 2: Use the following formula for standardization: Among them, r ij is the matrix element in the i-th row and j-th column of the matrix after normalization, x ij is the matrix element of the original matrix in the i-th row and j-th column, min(x j ) is the minimum value of the jth column of the original matrix, max(x j ) is the maximum value of the jth column of the original matrix, and the standardized matrix R is obtained; Step 3: Calculate the scores and normalize them to obtain the weighted normalized matrix Z; Step 4: Calculate the positive ideal solution and the negative ideal solution, the positive ideal solution: Z+ = (1,1,1,1), the negative ideal solution: Z- = (0,0,0,0); Step 5: Calculate the distance. Use the following formula to calculate the distance from each zero-carbon park to the positive ideal solution and the negative ideal solution: Among them, D i + is the distance from park i to the positive ideal solution, D i ― is the distance from park i to the negative ideal solution, z ij is the matrix element in the i-th row and j-th column of the Z matrix; Step 6: Calculate the relative closeness and sort. Use the following formula to calculate the relative closeness: Among them, N i The closer the solution is to the ideal solution, the larger the value is, the closer the zero-carbon park is to the ideal solution and the farther away from the negative ideal solution. After obtaining the relative closeness of each plan, sort them in order from large to small to get the scores of different zero-carbon parks. The parks ranked at the front have higher evaluation values.

8. An electronic device, characterized in that The invention comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the zero-carbon park evaluation method according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the zero-carbon park evaluation method according to any one of claims 1 to 6 is implemented.

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