A method for constructing an evaluation index of a near-zero carbon park under high proportion of new energy access

Abstract

The present disclosure relates to a kind of high proportion new energy access under near zero carbon park evaluation information determination method, it is related to near zero carbon emission park development evaluation field.The method in it includes: constructing evaluation index system to target park, wherein, evaluation index system includes multiple evaluation indexes;Determine the each evaluation index value of the target park under the evaluation index system, and according to each evaluation index value of target park under the evaluation index system, determine the target dynamic weight corresponding to each evaluation index value;According to each evaluation index value and corresponding target dynamic weight, determine first comprehensive index and second comprehensive index;According to first comprehensive index and second comprehensive index, determine the evaluation information of target park.Application of the present disclosure can carry out dynamic evaluation research to target park, realize accurate evaluation under the situation of different development stages of target park, different index state value change.

Description

Technical Field

[0001] This application relates to the field of evaluation of near-zero carbon emission industrial park development, and in particular to a method for constructing evaluation indicators for near-zero carbon industrial parks with a high proportion of new energy access. Background Technology

[0002] Against the backdrop of global climate change and various environmental problems, stabilizing global average temperatures and implementing zero-carbon emissions have become important tasks in my country's ecological civilization construction. Green high-tech industrial parks refer to parks that, within a defined area, are planned comprehensively and utilize carbon neutrality mechanisms such as zero-carbon energy substitution, low-carbon technologies, carbon emission storage and carbon sinks, and the purchase of voluntary emission reductions to gradually bring carbon emissions within the park closer to zero. Their core requirements are source reduction, substitution, and carbon sink enhancement.

[0003] Research on zero carbon in China is still in its early stages. Existing evaluation index systems for industrial parks mainly assess the overall development of the parks, relying primarily on static and comparative indicators for scoring. There is a lack of an evaluation system that can accurately reflect the development of the carbon index of green high-tech industrial parks, making it impossible to provide planning guidance based on actual development conditions in practice. Summary of the Invention

[0004] The embodiments disclosed herein provide a method for constructing evaluation indicators for near-zero carbon industrial parks with a high proportion of renewable energy access.

[0005] In a first aspect, embodiments of this disclosure provide a method for constructing evaluation indicators for near-zero carbon industrial parks under a high proportion of renewable energy access, comprising: constructing an evaluation indicator system for a target industrial park, wherein the evaluation indicator system includes multiple evaluation indicators; determining the value of each evaluation indicator for the target industrial park under the evaluation indicator system, and determining the target dynamic weight corresponding to each evaluation indicator value based on the value of each evaluation indicator for the target industrial park under the evaluation indicator system; determining a first comprehensive indicator and a second comprehensive indicator based on each evaluation indicator value and the corresponding target dynamic weight; and determining the evaluation information of the target industrial park based on the first comprehensive indicator and the second comprehensive indicator.

[0006] Secondly, a device for determining evaluation information of near-zero carbon industrial parks under a high proportion of new energy access is provided, comprising: a system construction unit configured to construct an evaluation index system for a target industrial park, wherein the evaluation index system includes multiple evaluation indicators; a weight determination unit configured to determine the values ​​of each evaluation indicator of the target industrial park under the evaluation index system, and determine the target dynamic weight corresponding to each evaluation indicator value based on the values ​​of each evaluation indicator of the target industrial park under the evaluation index system; an indicator determination unit configured to determine a first comprehensive indicator and a second comprehensive indicator based on each evaluation indicator value and the corresponding target dynamic weight; and an evaluation determination unit configured to determine the evaluation information of the target industrial park based on the first comprehensive indicator and the second comprehensive indicator.

[0007] Thirdly, a non-transitory computer-readable storage medium is provided that stores computer instructions for causing a computer to perform the method described in the first aspect.

[0008] The technology disclosed herein solves the problem of inaccurate evaluation in existing evaluation systems. It can evaluate target parks using dynamic weights, and it can also evaluate target parks using comprehensive indicators from both aspects, thereby achieving a comprehensive evaluation of target parks at different development stages.

[0009] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of this disclosure, nor is it intended to limit the scope of this disclosure. Other features of this disclosure will become readily apparent from the following description. Attached Figure Description

[0010] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein: Figure 1 This is a flowchart illustrating an embodiment of the method for determining evaluation information of near-zero carbon industrial parks under a high proportion of renewable energy access disclosed herein. Figure 2 This is a flowchart illustrating another embodiment of the method for determining near-zero carbon park evaluation information under a high proportion of renewable energy access disclosed herein. Figure 3 This is a schematic diagram of the evaluation index system. Figure 4 This is a schematic diagram of one embodiment of the near-zero carbon park evaluation information determination device under a high proportion of new energy access disclosed herein. Detailed Implementation

[0011] It should be noted that the following detailed descriptions are exemplary and intended to provide further illustration of this disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains.

[0012] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this disclosure. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.

[0013] Where there is no conflict, the embodiments and features described herein can be combined with each other.

[0014] To make the technical solutions and advantages of this disclosure clearer, the following description, in conjunction with the accompanying drawings and specific embodiments, will provide a more detailed explanation of this disclosure.

[0015] Figure 1 The flowchart 100 illustrates an embodiment of the method for constructing evaluation indicators for near-zero carbon industrial parks under a high proportion of renewable energy access disclosed herein. For example... Figure 1 As shown, the method for constructing evaluation indicators for near-zero carbon industrial parks under a high proportion of renewable energy access in this embodiment may include the following steps: Step 101: Construct an evaluation index system for the target park.

[0016] In this embodiment, the target park can refer to a certain area that is planned in a coordinated manner and comprehensively utilizes carbon neutrality mechanisms such as zero-carbon energy substitution, low-carbon technology, carbon emission storage and carbon sinks, and purchasing voluntary emission reductions to gradually bring the carbon emissions in the park closer to zero; the construction focus is on reducing emissions, increasing carbon sinks, and substitution.

[0017] The evaluation index system can include multiple evaluation indicators. These indicators can be presented in a tree structure. The tree structure can include multiple branches, each representing a different aspect. These multiple evaluation indicators can be determined based on the type of new energy source connected to the target park, the amount of energy used by the target park, the amount of energy provided by the target park, and so on.

[0018] Step 102: Determine the values ​​of each evaluation indicator under the evaluation indicator system for the target park, and determine the target dynamic weight corresponding to each evaluation indicator value based on the values ​​of each evaluation indicator under the evaluation indicator system for the target park.

[0019] After determining the evaluation index system, the values ​​of each evaluation index under the evaluation index system can be calculated based on the specific circumstances of the target park. For example, if the evaluation index includes electricity purchase, then the evaluation index value is 2000 kWh. Then, the target dynamic weights corresponding to each evaluation index value can be further determined. In this embodiment, the weights corresponding to each evaluation index value are different at different stages, at different times, or for different values. Here, the values ​​of the target dynamic weights are set according to the development status of the target park. Specifically, when determining the target dynamic weights corresponding to each evaluation index value, the conditions that each evaluation index value must satisfy can be determined first, and then the corresponding dynamic weight calculation method can be determined based on the above conditions, ultimately determining the target dynamic weights corresponding to each evaluation index value.

[0020] Step 103: Determine the first comprehensive indicator and the second comprehensive indicator based on the values ​​of each evaluation indicator and the corresponding target dynamic weights.

[0021] After determining the target dynamic weights corresponding to each evaluation index value, a portion of the evaluation index values ​​can be multiplied by their corresponding target dynamic weights and then summed to obtain the first comprehensive index. The other portion of the evaluation index values ​​can be multiplied by their corresponding target dynamic weights and then summed to obtain the second comprehensive index. Alternatively, each evaluation index value can be multiplied by its corresponding target dynamic weight and then summed to obtain the first comprehensive index. After further processing of each evaluation index value, the second comprehensive index is calculated. Here, the first and second comprehensive indices can have different meanings. In some specific applications, the first comprehensive index can represent the total energy consumption of the target industrial park, while the second comprehensive index can represent the total carbon emissions of the target industrial park. Alternatively, the first comprehensive index can represent the proportion of new energy sources and the comprehensive carbon emission index of the target industrial park, while the second comprehensive index can represent the comprehensive interaction index between the target industrial park and the power grid.

[0022] Step 104: Determine the evaluation information of the target park based on the first comprehensive indicator and the second comprehensive indicator.

[0023] After obtaining the first and second comprehensive indicators, evaluation information can be generated. Here, the evaluation information can be textual information obtained based on the values ​​of the first and second comprehensive indicators, information containing only the values ​​of the first and second comprehensive indicators, or information containing the values ​​of each evaluation indicator as well as the values ​​of the first and second comprehensive indicators.

[0024] The above embodiments of this disclosure provide a method for constructing evaluation indicators for near-zero carbon industrial parks under high-proportion renewable energy access. The method can evaluate the target industrial park using dynamic weights or by using a comprehensive indicator of both aspects, thereby achieving a comprehensive evaluation of the target industrial park at different development stages.

[0025] See also Figure 2 This illustrates a flowchart 200 of another embodiment of the method for constructing evaluation indicators for near-zero carbon industrial parks under a high proportion of renewable energy access according to this disclosure. For example... Figure 2 As shown, the method in this embodiment may include the following steps: Step 201: Determine the hierarchy of the evaluation index system, which includes the target layer and the criterion layer; construct the target layer based on the evaluation information, and construct the criterion layer based on the evaluation index.

[0026] In this embodiment, the Analytic Hierarchy Process (AHP) can be used to perform a hierarchical analysis of the target park, thereby determining the hierarchy of the evaluation index system. The AHP refers to a decision-making method that decomposes elements relevant to decision-making into levels such as objectives, criteria, and solutions, and then conducts qualitative and quantitative analysis based on this. The evaluation index system in this embodiment can include an objective layer and a criterion layer. The objective layer refers to the purpose of the decision and the problem to be solved. The criterion layer refers to the factors considered and the criteria for decision-making.

[0027] Here, the target layer can be constructed based on the evaluation information; that is, the target layer can be determined based on the first comprehensive indicator and the second comprehensive indicator. Alternatively, the target layer can be determined based on the textual information in the evaluation information. The criteria layer can then be constructed from each evaluation indicator.

[0028] In some optional implementations of this embodiment, the evaluation index system can be as follows: Figure 3 As shown. The criteria layer includes an infrastructure layer, a zero-carbon planning layer, a zero-carbon energy layer, a zero-carbon production layer, a zero-carbon building layer, a zero-carbon transportation layer, and a zero-carbon operating system layer. The infrastructure layer includes information infrastructure elements and municipal infrastructure elements. Information infrastructure elements include evaluation indicators for park basic networks, IoT terminals, and digital application systems. Municipal infrastructure elements include evaluation indicators for water infrastructure, lighting infrastructure, and road and transportation infrastructure. The zero-carbon planning layer includes spatial indicators, economic indicators, and environmental indicators. Spatial indicators include evaluation indicators for building volume ratio, green factory ratio, and zero-carbon factory ratio. Economic indicators include evaluation indicators for average output per unit of land and industrial added value per unit of construction land. Environmental indicators include evaluation indicators for green coverage rate and green carbon sink. Zero-carbon energy encompasses both fossil fuel consumption control factors and renewable energy utilization factors. Fossil fuel consumption control factors include indicators for replacing coal with electricity, oil with electricity, and gas with electricity, as well as carbon emission intensity reduction rates. Renewable energy utilization factors include indicators for the proportion of renewable energy consumption and the utilization rate of waste heat / cooling / pressure. Zero-carbon production includes indicators for comprehensive energy consumption per unit of industrial added value, the application rate of hydrogen reduction / carbon capture technology, and the agglomeration rate of zero-carbon industries. Zero-carbon buildings include indicators for the utilization rate of energy-saving materials, the integration of renewable resources with buildings, and zero-carbon retrofitting of lighting, heating, and water supply systems. Zero-carbon transportation includes green transportation and green travel factors. Green transportation factors include indicators for the proportion of low-carbon public transportation, the proportion of charging pile facilities, and the proportion of low-carbon logistics transportation. Green travel factors include indicators for low-carbon travel. The zero-carbon operating system includes carbon emission monitoring and accounting elements, energy comprehensive management and control elements, and carbon trading management elements. Among them, carbon emission monitoring and accounting elements include evaluation indicators for carbon accounting system construction, environmental monitoring system construction, and energy consumption monitoring system construction; energy comprehensive management and control elements include evaluation indicators for data operation platform construction; and carbon trading management elements include evaluation indicators for carbon emission quota and allocation management, and evaluation indicators for the connection and exchange of carbon trading platforms.

[0029] Step 202: Determine the initial constant weights corresponding to each evaluation indicator; based on the values ​​of each evaluation indicator, the corresponding initial constant weights, and the preset dynamic weight calculation formula, determine the target dynamic weights corresponding to each evaluation indicator value.

[0030] In this embodiment, the initial constant weights corresponding to each evaluation index can be determined first. Specifically, the initial constant weights corresponding to each evaluation index can be obtained by initializing according to a pre-set weight determination algorithm. Alternatively, preset weight values ​​can be used as the initial constant weights corresponding to each evaluation index.

[0031] After obtaining the initial constant weights corresponding to each evaluation indicator, the target dynamic weights corresponding to each evaluation indicator value can be determined by combining them with a preset dynamic weight calculation formula. Here, the preset dynamic weight calculation formula can be set according to the development status of the target park. By substituting each evaluation indicator value into the above dynamic weight calculation formula, the target dynamic weights corresponding to each evaluation indicator value are obtained.

[0032] In this embodiment, the initial constant weights can be calculated using the following formula: ; ;

[0033] in, d j express j The coefficient of variation of the indicators represents the differences between the indicators. j The information utility value.

[0034] In some optional implementations of this embodiment, the target threshold range to which each evaluation index value belongs can first be determined based on the evaluation index values ​​and a preset threshold range. Then, the target dynamic weight corresponding to each evaluation index value can be determined according to the dynamic weight calculation formula corresponding to the target threshold range.

[0035] In this implementation, a penalty-type state-variable weighting function can be used to calculate the target dynamic weights. This function divides the evaluation index values ​​into four zones: strong penalty zone, moderate penalty zone, mild penalty zone, and acceptable zone. Different zones correspond to different weight calculation functions.

[0036] In practical applications, due to the inconsistent dimensions of various indicators and the varying attributes of the selected indicators, normalization is necessary before data processing to ensure comparability and remove the dimensions of each evaluation indicator. Normalization transforms the values ​​of each evaluation indicator into values ​​between (0,1). The following methods can be used: Positive indicators: Negative indicators: ; in,m ij Representation Object i The j Data values ​​for each indicator; m max Indicators representing all time points j The maximum value; m min Indicators representing all time points j The minimum value ( i =1,2,..., l ; j =1,2,..., n ).

[0037] The aforementioned penalized state-weighted function can be expressed by the following formula: ; Wherein, S(M) is the state-variable weight vector, which is smooth, continuous and differentiable at (0,1). S1(M), S2(M), S3(M), and S4(M) are the variable weight vectors in the strong penalty region, medium penalty region, light penalty region, and qualified region, respectively, and are smooth, continuous and differentiable at the continuous points (λ,a), (α,b), and (β,c). , a, b, and c are adjustment coefficients.

[0038] In some optional implementations of this embodiment, a, b, and c are preset and can be set according to the hardware of the target park, for example, based on the proportion of new energy access in the target park. They can also be determined based on the development goals of the target park.

[0039] The aforementioned state-variable weight vector M that satisfies normalization is specifically: M =( M i , ..., M j , ..., M n ).

[0040] The target dynamic weight can then be calculated using the following formula: ; in, M j State-variable weight vector M The first in j The element, i.e., the th element j The status value of each indicator W j For the first j The variable weights corresponding to each indicator Mk State-variable weight vector M The Middle k Each element.

[0041] Step 203: Determine the first comprehensive indicator based on the power generation capacity, purchased electricity, CO2 emission coefficient, and corresponding target dynamic weight of each new energy source connected to the target park; determine the second comprehensive indicator based on the electricity generated by the target park, the electricity sold by the target park to the grid, the electricity purchased by the target park from the grid, and the corresponding target dynamic weight.

[0042] In this embodiment, the first comprehensive index can represent the weighted proportion of new energy sources and the comprehensive carbon emission index. Its calculation formula is as follows: ;

[0043] in, AI This refers to the proportion of new energy sources and comprehensive indicators of carbon emissions. P i For the first i The power generation capacity of this new energy source P Total refers to the total power generation capacity of the park. k This is a preset proportional coefficient. ω The amount of natural gas burned per unit of electricity CO 2. Emission coefficient, The electrical power generated by natural gas, η For the electricity purchased from the grid CO 2. Emission coefficient, The amount of electricity generated that is purchased from the power grid. T E The total amount generated for the target park CO 2.

[0044] The second comprehensive indicator can be an interaction comprehensive indicator selected for the interaction mechanism between the power grid and the industrial park. Its calculation formula can be as follows: ; in, EGI This is a comprehensive indicator of the interaction between the power grid and the target industrial park. W G The electricity generated for the target industrial park W GE The electricity sold by the target industrial park to the power grid. W EG The electricity purchased from the power grid for the target industrial park.

[0045] Step 204: Determine the evaluation information of the target park based on the first comprehensive indicator and the second comprehensive indicator.

[0046] The method for outputting information provided in the above embodiments of this disclosure can select two comprehensive evaluation indicators—a weighted proportion of new energy and a comprehensive carbon emission indicator, and an interactive comprehensive indicator—based on the energy consumption rule mechanism of the target park and the interaction mechanism between the power grid and the target park. This further enables a comprehensive evaluation of both total energy consumption and total carbon emissions. By constructing a penalized state-weighted function to calculate the weighted vector of each indicator factor, a dynamic evaluation study of the target park is conducted, achieving accurate evaluation under different development stages of the target park and changing state values ​​of each indicator.

[0047] Further reference Figure 4 As an implementation of the methods shown in the above figures, this disclosure provides an embodiment of a device for determining evaluation information of near-zero carbon industrial parks under a high proportion of new energy access. This device embodiment is similar to... Figure 1 Corresponding to the method embodiments shown, this device can be specifically applied to various electronic devices.

[0048] like Figure 4 As shown, the near-zero carbon park evaluation information determination device 400 under high proportion of new energy access in this embodiment includes: system construction unit 401, weight determination unit 402, index determination unit 403 and evaluation determination unit 404.

[0049] System construction unit 401 is configured to build an evaluation index system for the target park. The evaluation index system includes multiple evaluation indicators.

[0050] The weight determination unit 402 is configured to determine the values ​​of each evaluation indicator of the target park under the evaluation indicator system, and to determine the target dynamic weight corresponding to each evaluation indicator value based on the values ​​of each evaluation indicator of the target park under the evaluation indicator system.

[0051] The indicator determination unit 403 is configured to determine the first comprehensive indicator and the second comprehensive indicator based on the values ​​of each evaluation indicator and the corresponding target dynamic weights.

[0052] Evaluation determination unit 404 is configured to determine the evaluation information of the target park based on the first comprehensive indicator and the second comprehensive indicator.

[0053] It should be understood that the units recorded in the near-zero carbon park evaluation information determination device 400 under a high proportion of new energy access are respectively related to... Figure 1 The steps described in the method correspond to those in the previous section. Therefore, the operations and characteristics described above for determining the evaluation information of near-zero carbon industrial parks with a high proportion of renewable energy access are also applicable to this device and the units contained therein, and will not be repeated here.

[0054] In addition, one embodiment of this disclosure also provides a non-transitory computer-readable storage medium storing a computer program thereon. When the computer program is executed by a processor, it implements the steps of the above-described method, including, for example,: constructing an evaluation index system for the target park, wherein the evaluation index system includes multiple evaluation indicators; determining the value of each evaluation indicator of the target park under the evaluation index system, and determining the target dynamic weight corresponding to each evaluation indicator value based on the value of each evaluation indicator of the target park under the evaluation index system; determining a first comprehensive indicator and a second comprehensive indicator based on each evaluation indicator value and the corresponding target dynamic weight; and determining the evaluation information of the target park based on the first comprehensive indicator and the second comprehensive indicator.

[0055] The above description is merely a preferred embodiment of this disclosure and is not intended to limit this disclosure. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for determining evaluation information of near-zero carbon industrial parks under a high proportion of renewable energy access, comprising: An evaluation index system is constructed for the target park, wherein the evaluation index system includes multiple evaluation indicators; Determine the evaluation index values ​​of the target park under the evaluation index system, and determine the target dynamic weight corresponding to each evaluation index value based on the evaluation index values ​​of the target park under the evaluation index system. Based on the values ​​of each evaluation index and the corresponding target dynamic weights, the first comprehensive index and the second comprehensive index are determined. The evaluation information of the target park is determined based on the first comprehensive indicator and the second comprehensive indicator; The step of determining the target dynamic weight corresponding to each evaluation indicator value based on the evaluation indicator values ​​of the target park under the evaluation indicator system includes: Determine the initial constant weights for each evaluation indicator; Based on the values ​​of each evaluation index, the corresponding initial constant weights, and the preset dynamic weight calculation formula, determine the target dynamic weights corresponding to each evaluation index value. The step of determining the target dynamic weight corresponding to each evaluation index value based on each evaluation index value, the corresponding initial constant weight, and the preset dynamic weight calculation formula includes: Based on the values ​​of each evaluation indicator and the preset threshold range, determine the target threshold range to which each evaluation indicator value belongs; Based on the dynamic weight calculation formula corresponding to the target threshold range, the target dynamic weight corresponding to each evaluation index value is determined, wherein the dynamic weight calculation formula includes a preset coefficient, and the preset coefficient is determined according to the new energy access ratio of the target park; The step of determining the first comprehensive indicator and the second comprehensive indicator based on the values ​​of each evaluation indicator and the corresponding target dynamic weights includes: The first comprehensive indicator is determined based on the power generation capacity, purchased electricity, CO2 emission coefficient, and corresponding target dynamic weight of each new energy source connected to the target park. The second comprehensive index is determined based on the electricity generated by the target park, the electricity sold by the target park to the grid, the electricity purchased by the target park from the grid, and the corresponding target dynamic weights. The first comprehensive indicator represents the weighted proportion of new energy sources and the overall carbon emission index, and its calculation formula is as follows: ； in, AI This refers to the proportion of new energy sources and comprehensive indicators of carbon emissions. P i For the first i The power generation capacity of this new energy source P Total refers to the total power generation capacity of the park. k This is a preset proportional coefficient. ω The amount of natural gas burned per unit of electricity CO 2. Emission coefficient, The electrical power generated by natural gas, η For the electricity purchased from the grid CO 2. Emission coefficient, The amount of electricity generated that is purchased from the power grid. T E The total amount generated for the target park CO 2; The second comprehensive indicator is an interaction comprehensive indicator selected for the interaction mechanism between the power grid and the industrial park. Its calculation formula can be as follows: ； in, EGI This is a comprehensive indicator of the interaction between the power grid and the target industrial park. W G The electricity generated for the target industrial park W GE The electricity sold by the target industrial park to the power grid. W EG The electricity purchased from the power grid for the target industrial park.

2. The method according to claim 1, wherein, The evaluation index system for the target park includes: The hierarchy of the evaluation index system is determined, including an objective layer and a criterion layer; The target layer is constructed based on the evaluation information, and the criterion layer is constructed based on the evaluation indicators.

3. The method according to claim 2, wherein, The criteria layer includes an infrastructure layer, a zero-carbon planning layer, a zero-carbon energy layer, a zero-carbon production layer, a zero-carbon building layer, a zero-carbon transportation layer, and a zero-carbon operating system layer. The infrastructure layer includes information infrastructure elements and municipal infrastructure elements. The information infrastructure elements include evaluation indicators for the park's basic network, evaluation indicators for Internet of Things terminals, and evaluation indicators for digital application systems. The municipal infrastructure elements include evaluation indicators for water infrastructure, evaluation indicators for lighting infrastructure, and evaluation indicators for road and traffic infrastructure. The zero-carbon planning level includes spatial indicators, economic indicators, and environmental indicators. Among them, spatial indicators include building volume ratio evaluation indicators, green factory ratio evaluation indicators, and zero-carbon factory ratio evaluation indicators; economic indicators include average output value per unit of land evaluation indicators and industrial added value per unit of construction land evaluation indicators; and environmental indicators include green coverage rate evaluation indicators and green carbon sink evaluation indicators. The zero-carbon energy level includes fossil energy consumption control elements and renewable energy utilization elements. Among them, fossil energy consumption control elements include evaluation indicators for replacing coal with electricity, evaluation indicators for replacing oil with electricity, evaluation indicators for replacing gas with electricity, and evaluation indicators for carbon emission intensity reduction rate. Renewable energy utilization elements include evaluation indicators for the proportion of renewable energy consumption and evaluation indicators for the utilization rate of waste heat / waste cooling / waste pressure. The zero-carbon production includes the comprehensive energy consumption evaluation index per unit of industrial added value, the hydrogen reduction / carbon capture technology application rate evaluation index, and the zero-carbon industry agglomeration rate evaluation index. The zero-carbon building aspect includes evaluation indicators for the utilization rate of energy-saving materials, evaluation indicators for the integration of renewable resources and buildings, and evaluation indicators for the zero-carbon transformation of lighting, heating, and water supply systems. The zero-carbon transportation aspect includes green transportation elements and green travel elements. Among them, green transportation elements include evaluation indicators for the proportion of low-carbon public transportation, the proportion of charging pile facilities, and the proportion of low-carbon logistics transportation; green travel elements include evaluation indicators for low-carbon travel. The zero-carbon operating system includes carbon emission monitoring and accounting elements, energy comprehensive management and control elements, and carbon trading management elements. Among them, the carbon emission monitoring and accounting elements include carbon accounting system evaluation indicators, environmental monitoring system construction evaluation indicators, and energy consumption monitoring system construction evaluation indicators; the energy comprehensive management and control elements include data operation platform construction evaluation indicators; and the carbon trading management elements include carbon emission quota and allocation right management evaluation indicators and carbon trading platform connection and exchange evaluation indicators.

4. The method according to claim 1, wherein, The step of determining the target threshold range to which each evaluation index value belongs based on each evaluation index value and a preset threshold range includes: The values ​​of each evaluation index are normalized to obtain the normalized values. Based on each normalized value and the preset threshold range, the target threshold range to which each normalized value belongs is determined.

5. A device for determining evaluation information of near-zero carbon industrial parks with a high proportion of renewable energy access, comprising: The system construction unit is configured to construct an evaluation index system for the target park, wherein the evaluation index system includes multiple evaluation indicators; The weight determination unit is configured to determine the evaluation index values ​​of the target park under the evaluation index system, and determine the target dynamic weight corresponding to each evaluation index value based on the evaluation index values ​​of the target park under the evaluation index system. The indicator determination unit is configured to determine the first comprehensive indicator and the second comprehensive indicator based on the values ​​of each evaluation indicator and the corresponding target dynamic weights. The evaluation determination unit is configured to determine the evaluation information of the target park based on the first comprehensive indicator and the second comprehensive indicator; The weight determination unit is further configured to: Determine the initial constant weights for each evaluation indicator; Based on the values ​​of each evaluation indicator and the preset threshold range, determine the target threshold range to which each evaluation indicator value belongs; Based on the dynamic weight calculation formula corresponding to the target threshold range, the target dynamic weight corresponding to each evaluation index value is determined, wherein the dynamic weight calculation formula includes a preset coefficient, and the preset coefficient is determined according to the new energy access ratio of the target park; The indicator determination unit is further configured to: The first comprehensive indicator is determined based on the power generation capacity, purchased electricity, CO2 emission coefficient, and corresponding target dynamic weight of each new energy source connected to the target park. The second comprehensive index is determined based on the electricity generated by the target park, the electricity sold by the target park to the grid, the electricity purchased by the target park from the grid, and the corresponding target dynamic weights. The first comprehensive indicator represents the weighted proportion of new energy sources and the overall carbon emission index, and its calculation formula is as follows: ； in, AI This refers to the proportion of new energy sources and comprehensive indicators of carbon emissions. P i For the first i The power generation capacity of this new energy source P Total refers to the total power generation capacity of the park. k This is a preset proportional coefficient. ω The amount of natural gas burned per unit of electricity CO 2. Emission coefficient, The electrical power generated by natural gas, η For the electricity purchased from the grid CO 2. Emission coefficient, The amount of electricity generated that is purchased from the power grid. T E The total amount generated for the target park CO 2; The second comprehensive indicator is an interaction comprehensive indicator selected for the interaction mechanism between the power grid and the industrial park. Its calculation formula can be as follows: ； in, EGI This is a comprehensive indicator of the interaction between the power grid and the target industrial park. W G The electricity generated for the target industrial park W GE The electricity sold by the target industrial park to the power grid. W EG The electricity purchased from the power grid for the target industrial park.

6. A non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-4.

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