Industrial park zero-carbon index system construction and evaluation method

Abstract

The invention discloses an industrial park zero-carbon index system construction and evaluation method. An industrial park zero-carbon index system framework is constructed from four dimensions of energy utilization, resource environment, industrial science and technology and zero-carbon management; determining first-level indexes of different dimensions and second-level indexes corresponding to the first-level indexes; respectively obtaining scores of the secondary indexes, and respectively determining the weight of each secondary index by adopting an analytic hierarchy process and an entropy weight method according to the scores of the secondary indexes; determining the weight of each secondary index by using a combined weighting method, a comprehensive analytic hierarchy process and an entropy weight method, and obtaining the final weight of the secondary indexes; and calculating a comprehensive score according to the score of the second-level index and the final weight of the second-level index. The industrial park zero-carbon index system constructed by the invention can comprehensively and accurately evaluate the zero-carbon development level of the industrial park.

Description

Technical Field

[0001] The present invention belongs to the field of zero-carbon development level evaluation, and specifically relates to a zero-carbon indicator system construction and evaluation method for industrial parks. Background Art

[0003] At present, certain research results have been achieved in the field of low-carbon evaluation index system for industrial parks, but the research on zero-carbon industrial parks is still in the early development stage, and an index system and evaluation method that can accurately reflect the zero-carbon development level of industrial parks has not yet been proposed. Summary of the Invention

[0004] The purpose of the present invention is to provide a method for constructing and evaluating a zero-carbon index system for industrial parks in response to the shortcomings of the existing technology.

[0005] A method for constructing and evaluating a zero-carbon index system for an industrial park comprises the following steps:

[0006] Step S1: Construct a zero-carbon indicator system framework for industrial parks from four dimensions: energy utilization, resources and environment, industrial technology, and zero-carbon management;

[0007] Step S2: Determine the primary indicators of different dimensions and the secondary indicators corresponding to the primary indicators;

[0008] Step S3: Obtain the scores of the secondary indicators respectively, and determine the weights of each secondary indicator respectively using the analytic hierarchy process and entropy weight method according to the scores of the secondary indicators;

[0009] Step S4: Using the combined weighting method, the weights of each secondary indicator determined by the comprehensive analytic hierarchy process and the entropy weight method to obtain the final weight of the secondary indicator;

[0010] Step S5: Calculate the comprehensive score based on the scores of the secondary indicators and the final weights of the secondary indicators.

[0011] As mentioned above, the primary indicators in step S2 include energy utilization indicators, resource and environmental indicators, industrial technology indicators, and zero-carbon management indicators;

[0012] The secondary indicators of energy utilization index include the proportion of renewable energy use, clean energy utilization rate, distributed energy supply system, energy consumption intensity, energy consumption intensity reduction rate, carbon emission intensity and carbon emission intensity reduction rate;

[0013] The secondary indicators of resource and environmental indicators include water resource output rate, water reuse rate, renewable resource recycling rate, land resource output rate, key pollutant emission compliance rate and industrial solid waste comprehensive utilization rate;

[0014] Secondary indicators of industrial science and technology indicators include the proportion of industrial added value of high-tech industries, the proportion of industrial added value of strategic emerging industries, the number of green technology patents authorized per 10,000 people, low-carbon / zero-carbon / negative-carbon technology demonstration projects, the proportion of green factories and the proportion of zero-carbon factories;

[0015] The secondary indicators of zero-carbon management indicators include the proportion of zero-carbon buildings, the proportion of new energy vehicles used, green coverage rate, greenhouse gas inventory and publicity in the park, the degree of perfection of the low-carbon management mechanism, and the construction of a digital carbon management platform.

[0016] As mentioned above, the use of the analytic hierarchy process to determine the weights of each secondary indicator includes the following steps:

[0017] Step S3.1b: Construct the judgment matrix of the secondary indicators using the 9-level scaling method based on the scores of the secondary indicators;

[0018] Step S3.2b: Perform consistency checks on the judgment matrices of the secondary indicators. If the consistency ratio CR is less than 0.1, the test passes and the process proceeds to step S3.3b. If the consistency ratio CR is greater than or equal to 0.1, the scores of the secondary indicators are re-obtained and the process returns to step S3.1b.

[0019] Step S3.3b: Obtain the weight of the secondary indicator according to the judgment matrix of the secondary indicator.

[0020] As described above, the entropy weight method is used to determine the weight of each secondary indicator, including the following steps:

[0021] The scores of the secondary indicators are normalized, and the secondary indicator entropy value and secondary indicator variation coefficient corresponding to each secondary indicator are calculated according to the theoretical formula of the entropy weight method; the variation coefficient of each secondary indicator is normalized and used as the weight corresponding to each secondary indicator.

[0022] As mentioned above, the final weight is determined based on the following steps:

[0023] The weight of each secondary index determined by the hierarchical analysis method is WC2 j ; The weight of each secondary indicator determined by the entropy weight method is WS2 j

[0024] j is the serial number of the secondary indicator,

[0025] Final weight W2 j =αWC2 j +(1-α)WS2 j ,

[0026] Among them, α is the scale parameter, and its value range is 0 to 1.

[0027] The comprehensive score of the secondary indicators mentioned above is calculated based on the following formula:

[0028]

[0029] Where S is the comprehensive score; ω k is the final weight of the k-th secondary indicator; ε k is the score of the kth secondary indicator, and n is the total number of secondary indicators.

[0030] A computer device comprises a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of the evaluation method according to any one of claims 1 to 6 when executing the computer program.

[0031] A computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of the evaluation method according to any one of claims 1 to 6 are implemented.

[0032] A computer program product comprises a computer program, wherein when the computer program is executed by a processor, the steps of the evaluation method according to any one of claims 1 to 6 are implemented.

[0033] Compared with existing technologies, this invention has the following advantages: it constructs a zero-carbon index system for industrial parks from four dimensions: energy utilization, resources and environment, industrial technology, and zero-carbon management. This system can comprehensively and accurately evaluate the zero-carbon development level of industrial parks and promote their zero-carbon development. Furthermore, there is currently little zero-carbon-related research in my country's evaluation index system. This invention not only fills the gap in research, but also provides certain theoretical guidance for the evaluation of zero-carbon levels in industrial parks. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a flow chart of the construction and evaluation method of the zero-carbon indicator system of industrial parks. DETAILED DESCRIPTION

[0035] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings and embodiments of the present invention.

[0036] Example 1:

[0037] A domestic industrial park was selected as the target park for evaluation. The target park boasts convenient transportation and a distinct locational advantage. The park boasts well-developed infrastructure, including roads, rainwater, sewage, tap water, natural gas, electricity, telecommunications, heat, and cable television pipelines. The park focuses on developing industries such as resource recycling and key components for new energy vehicles, optimizing and improving clean production, and cultivating four major green industries: green building materials and construction, clean energy, advanced environmental protection, and green services. The park also vigorously promotes the use of renewable energy sources such as solar energy and biomass energy, fostering a low-carbon transition to energy utilization. With the goal of improving ecological and environmental quality, the park continuously advances comprehensive ecological and environmental governance.

[0038] This embodiment proposes a method for constructing and evaluating a zero-carbon index system for an industrial park, including the following steps:

[0039] Step S1: Construct a zero-carbon indicator system framework for industrial parks from four dimensions: energy utilization, resources and environment, industrial technology, and zero-carbon management.

[0040] Step S2: Determine the primary indicators of different dimensions and the secondary indicators corresponding to the primary indicators, so as to construct a zero-carbon evaluation index system. Specifically, the primary indicators of different dimensions include energy utilization indicators, resource and environmental indicators, industrial science and technology indicators and zero-carbon management indicators. The secondary indicators of energy utilization indicators include the proportion of renewable energy use, clean energy utilization rate, distributed energy supply system, energy consumption intensity, energy consumption intensity reduction rate, carbon emission intensity and carbon emission intensity reduction rate; the secondary indicators of resource and environmental indicators include water resource output rate, recycled water reuse rate, renewable resource recycling rate, land resource output rate, key pollutant emission compliance rate and comprehensive utilization rate of industrial solid waste; the secondary indicators of industrial science and technology indicators include the proportion of industrial added value of high-tech industries, the proportion of industrial added value of strategic emerging industries, the number of green technology patents authorized per 10,000 people, low-carbon / zero-carbon / negative-carbon technology demonstration projects, the proportion of green factories and the proportion of zero-carbon factories; the secondary indicators of zero-carbon management indicators include the proportion of zero-carbon (near-zero-carbon) buildings, the proportion of new energy vehicles used, green coverage rate, greenhouse gas inventory and publicity in the park, the degree of perfection of the low-carbon management mechanism and the construction of a digital carbon management platform. Table 1 is the zero-carbon evaluation index system for industrial parks.

[0041] Table 1

[0042]

[0043] Step S3: Obtain the scores of each secondary indicator, and use the hierarchical analysis method and entropy weight method to determine the weight of each secondary indicator in the zero-carbon evaluation index system.

[0044] Preferably, in step S3, the scores of the secondary indicators are determined by the following steps:

[0045] Step S3.1a: Invite senior experts to score each secondary indicator according to the Delphi method to obtain the score of each secondary indicator. The score of the primary indicator is the sum of the scores of each secondary indicator.

[0046] Preferably, in step S3, determining the weights of each secondary indicator in the zero-carbon evaluation index system using the analytic hierarchy process includes the following steps:

[0047] Step S3.1b: Construct the judgment matrix of the secondary indicators using the 9-level scaling method based on the scores of the secondary indicators;

[0048] Step S3.2b: Perform a consistency check on the judgment matrix of the secondary indicators. When the consistency ratio CR is less than 0.1, the check passes and the process proceeds to step S3.3b. When the consistency ratio CR is greater than or equal to 0.1, the score of the secondary indicators is obtained again and the process returns to step S3.1b.

[0049] Step S3.3b: Obtain the weight of the secondary indicator based on the judgment matrix of the secondary indicator. The weight of the primary indicator is the sum of the weights of the corresponding secondary indicators. The calculation results in this embodiment are shown in Table 2, which is a weight table of the primary and secondary indicators.

[0050] Table 2

[0051]

[0052]

[0053] Preferably, in step S3, the step of determining the weight of the secondary indicator by the entropy weight method includes:

[0054] Step S3.1c: Normalize the scores for the secondary indicators. Calculate the corresponding secondary indicator entropy value and coefficient of variation for each secondary indicator using the entropy weight method. Normalize the coefficient of variation for each secondary indicator to use as the corresponding weight for each secondary indicator. The entropy value for a primary indicator is the sum of the entropy values ​​for each corresponding secondary indicator, and the weight for a primary indicator is the sum of the weights for each corresponding secondary indicator. The results are shown in Table 3, which shows the entropy values ​​and weights for each primary and secondary indicator.

[0055] Table 3

[0056]

[0057]

[0058] Step S4: Using the combined weighting method, the analytic hierarchy process and the entropy weight method to determine the weights of each secondary indicator, the final weight of the secondary indicator is obtained.

[0059] The weight of each secondary index determined by the hierarchical analysis method is WC2 j ; The weight of each secondary indicator determined by the entropy weight method is WS2 j

[0060] j is the serial number of the secondary indicator.

[0061] The final weight of the secondary indicator W2 j =αWC2 j +(1-α)WS2 j .

[0062] Among them, α is the scale parameter, and its value range is 0 to 1.

[0063] The final weight of a first-level indicator is the sum of the final weights of the corresponding second-level indicators.

[0064] Preferably, in step S4, the results of calculating the weight coefficients by the combined weighting method are shown in Table 4, which is a table of the final weights of the first-level indicators and the final weights of the second-level indicators.

[0065] Table 4

[0066]

[0067] Step S5: Evaluate the target industrial park based on the established zero-carbon indicator system.

[0068] Specifically: Use the linear weighted evaluation model to conduct a comprehensive evaluation of the target park and obtain a comprehensive score.

[0069] Where S is the comprehensive score; ω k is the final weight of the k-th secondary indicator; ε k is the score of the kth secondary indicator, and n is the total number of secondary indicators. Table 5 shows the ω of each secondary indicator for each first-level indicator in each year. k ×ε k ×100 values ​​and comprehensive score (A) table.

[0070] Table 5

[0071]

[0072] Preferably, in step S5, according to the evaluation results of the linear weighted evaluation model, the low-carbon development level of the target park showed an overall upward trend from 2018 to 2021, and reached a near-zero carbon level in both 2020 and 2021, which is basically consistent with the conclusion obtained by applying the present invention.

[0073] The above content is a further detailed description of the present invention in conjunction with specific preferred embodiments, and the embodiments are not limited to the above description. For ordinary technicians in the technical field to which the present invention belongs, without departing from the concept of the present invention, making some simple deductions or substitutions, all fall within the scope of protection of the present invention.

Claims

1. A method for constructing and evaluating a zero-carbon index system for an industrial park, characterized in that: The following steps are involved: Step S1: Construct a zero-carbon indicator system framework for industrial parks from four dimensions: energy utilization, resources and environment, industrial technology, and zero-carbon management; Step S2: Determine the primary indicators of different dimensions and the secondary indicators corresponding to the primary indicators; Step S3: Obtain the scores of the secondary indicators respectively, and determine the weights of each secondary indicator respectively by using the hierarchical analysis method and the entropy weight method according to the scores of the secondary indicators; Step S4: using the combined weighting method, the comprehensive analytic hierarchy process and the entropy weight method to determine the weights of each secondary indicator, and obtaining the final weight of the secondary indicator; Step S5: Calculate the comprehensive score based on the scores of the secondary indicators and the final weights of the secondary indicators.

2. According to claim 1, a method for constructing and evaluating a zero-carbon index system for an industrial park, characterized in that: The primary indicators in step S2 include energy utilization indicators, resource and environmental indicators, industrial technology indicators and zero-carbon management indicators; The secondary indicators of energy utilization index include the proportion of renewable energy use, clean energy utilization rate, distributed energy supply system, energy consumption intensity, energy consumption intensity reduction rate, carbon emission intensity and carbon emission intensity reduction rate; The secondary indicators of resource and environmental indicators include water resource output rate, water reuse rate, renewable resource recycling rate, land resource output rate, key pollutant emission compliance rate and industrial solid waste comprehensive utilization rate; The secondary indicators of industrial science and technology indicators include the proportion of industrial added value of high-tech industries, the proportion of industrial added value of strategic emerging industries, the number of green technology patents authorized per 10,000 people, low-carbon / zero-carbon / negative-carbon technology demonstration projects, the proportion of green factories and the proportion of zero-carbon factories; The secondary indicators of zero-carbon management indicators include the proportion of zero-carbon buildings, the proportion of new energy transportation vehicles used, the green coverage rate, the inventory and public disclosure of greenhouse gases in the park, the degree of perfection of the low-carbon management mechanism, and the construction of a digital carbon management platform.

3. According to claim 1, a method for constructing and evaluating a zero-carbon index system for an industrial park, characterized in that: Determining the weight of each secondary index by using the hierarchical analysis method comprises the following steps: Step S3.1b: Construct the judgment matrix of the secondary indicators using the 9-level scaling method according to the scores of the secondary indicators; Step S3.2b: Perform consistency check on the judgment matrix of the secondary indicators respectively. When the consistency ratio CR<0.1, the check is passed and the process goes to step S3.3b. When the consistency ratio CR≥0.1, the score of the secondary indicator is obtained again and the process goes back to step S3.1b. Step S3.3b: Obtain the weight of the secondary indicator according to the judgment matrix of the secondary indicator.

4. According to claim 1, a method for constructing and evaluating a zero-carbon index system for an industrial park, characterized in that: The method of using the entropy weight method to determine the weight of each secondary indicator includes the following steps: The scores of the secondary indicators are normalized, and the secondary indicator entropy value and secondary indicator variation coefficient corresponding to each secondary indicator are calculated according to the theoretical formula of the entropy weight method; the variation coefficient of each secondary indicator is normalized and used as the weight corresponding to each secondary indicator.

5. According to claim 1, a method for constructing and evaluating a zero-carbon index system for an industrial park, characterized in that: The final weights are determined based on the following steps: The weight of each secondary index determined by the analytic hierarchy process is WC2 j ; The weight of each secondary index determined by the entropy weight method is WS2 j j is the serial number of the secondary index, Final weight W2 j =αWC2 j +(1-α)WS2 j , Among them, α is a proportional parameter, and its value range is 0 to 1.

6. According to claim 1, a method for constructing and evaluating a zero-carbon index system for an industrial park, characterized in that: The comprehensive score of the secondary indicators is calculated based on the following formula: In the formula, S is the comprehensive score; ω k is the final weight of the k-th secondary indicator; ε k is the score of the kth secondary indicator, and n is the total number of secondary indicators.

7. A computer device comprising a memory and a processor, wherein the memory stores a computer program, characterized in that: When the processor executes the computer program, the steps of the evaluation method according to any one of claims 1 to 6 are implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the evaluation method according to any one of claims 1 to 6 are implemented.

9. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the evaluation method according to any one of claims 1 to 6 are implemented.

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