Park industry carbon effect evaluation method

Abstract

The invention belongs to the technical field of carbon effect evaluation, and relates to a park industry carbon effect evaluation method, which comprises the following steps: analyzing direct carbon emission of each industry in a target park in a historical preset period from a carbon-related fuel combustion source, and combining with the output yield of each industry in the target park to evaluate the carbon effect of the target park. A complete carbon emission coefficient of each industry in the target park based on an upstream industry chain is carefully considered, basic carbon effect index analysis of each industry in the target park in a historical preset period is developed, and the carbon neutralization amount of each industry in the target park in the historical preset period is accurately obtained by integrating an energy-saving carbon offset value, a vegetation carbon offset value and a soil carbon offset value. And evaluating the carbon reduction efficiency index and the carbon reduction space redundancy index of each industry in the target park in the historical preset period, integrating the basic carbon effect index, the carbon reduction efficiency index and the carbon reduction space redundancy index, evaluating the comprehensive carbon effect coefficient of each industry in the target park in the historical preset period, and effectively realizing the accurate carbon effect evaluation of the power grid park industry.

Description

Technical Field

[0001] The present invention belongs to the technical field of carbon efficiency assessment and relates to a method for assessing the carbon efficiency of industrial parks. Background Art

[0002] In the context of global response to climate change and pursuit of sustainable development, the carbon efficiency management of power grid industrial parks, as important hubs for energy production and consumption, has become a key link in achieving the transition to a low-carbon economy. It is particularly important to conduct a scientific and accurate assessment of the carbon emissions of industrial parks.

[0003] In the prior art, there are also some solutions related to the carbon efficiency assessment of industrial parks. For example, the comprehensive evaluation method and system for multi-energy demand industrial parks for low-carbon economic operation with Chinese patent publication number CN114239292B obtains the demand and supply of electricity, cold energy and heat energy in each period of the historical length of the industrial park, and obtains the supply and demand cost data at the same time, constructs a data judgment set consisting of all multi-energy data samples, and performs screening and analysis based on the data judgment set to obtain the key data judgment set. According to the types of priced energy supply materials of the industrial park's multi-energy system, an energy utilization efficiency mathematical model and a low-carbon loss mathematical model are respectively constructed. Based on the key data judgment set, the energy utilization efficiency mathematical model and the low-carbon loss mathematical model are used to obtain a comprehensive evaluation value of the industrial park's low-carbon multi-energy operation management platform, and obtain a more comprehensive and reliable comprehensive evaluation result of the industrial park's low-carbon multi-energy system, which has more practical reference value.

[0004] Another Chinese patent publication number is CN116362138A, which is a carbon monitoring method for an artificial intelligence park based on big data. It obtains the electricity consumption data of the artificial intelligence park, extracts features from the electricity consumption data, calculates the extracted feature data, obtains carbon emissions, obtains the green forest vegetation area of ​​the artificial intelligence park, obtains carbon absorption based on the green forest vegetation area, performs intelligent analysis on the carbon emissions and carbon absorption, obtains the final carbon emissions, and predicts future carbon emission changes. Through the impact of electricity consumption on carbon emissions, the carbon emissions of the artificial intelligence park are jointly evaluated to achieve the reliability of carbon emission monitoring, and further by monitoring the area of ​​green forest vegetation, the actual carbon emissions of the city can be obtained, which increases the precise measurement of carbon emissions and carbon absorption, is conducive to the accuracy and stability of carbon emission data analysis, and can effectively remotely monitor and realize early warning and control of carbon emissions in artificial intelligence parks.

[0005] Although the above scheme proposes some relevant solutions such as park carbon efficiency assessment, the existing technology still has the following limitations, specifically: 1. The existing technology for the analysis of carbon emissions of various industries in the park mainly relies on the sensor identification and analysis of the park's emission gases. In actual situations, the park's emission gases are not only complex in composition, but also diverse in emission sources, and are easily affected by interference from measurement equipment and the environment, resulting in the detection and analysis of the park's carbon emissions being unreliable and inaccurate.

[0006] 2. The existing technology is relatively superficial in its exploration of indirect carbon emissions in the carbon emissions analysis of various industries in the park, ignoring the correlation between the industrial chains in the park, and failing to effectively explore the indirect carbon emissions generated by each industry due to the influence of its upstream industries, resulting in the analysis of carbon emissions of various industries in the park being unscientific and comprehensive.

[0007] 3. When analyzing the carbon neutrality of various industries in the park, existing technologies ignore the carbon offset effect of soil carbon sinks and the industry’s own energy-saving measures, resulting in an incomplete and inaccurate assessment of the carbon neutrality amount.

[0008] 4. Existing technologies for carbon efficiency assessment of industries in the industrial park remain at the two key indicators of carbon neutrality and basic carbon efficiency value, lacking deeper analysis such as carbon reduction efficiency and carbon reduction space redundancy. Summary of the invention

[0009] In view of this, in order to solve the problems raised in the above background technology, a method for evaluating the carbon efficiency of industrial parks is proposed.

[0010] The purpose of the present invention can be achieved through the following technical solutions: The present invention provides a method for evaluating the carbon efficiency of industrial parks, including: S1. Collecting carbon-related fuel usage data of various industries in the target park within a historical preset period, and analyzing the direct carbon emissions of various industries in the target park within the historical preset period.

[0011] S2. Collect the output of each industry in the target park within the historical preset period, combine it with direct carbon emissions, and evaluate the basic carbon efficiency indicators of each industry in the target park within the historical preset period.

[0012] S3. Collect the reported carbon sink data of each industry in the target park within the historical preset period, calculate the carbon neutrality amount of each industry in the target park within the historical preset period, and evaluate the carbon reduction efficiency indicators and carbon reduction space redundancy indicators of each industry in the target park within the historical preset period.

[0013] S4. Integrate basic carbon efficiency indicators, carbon reduction efficiency indicators and carbon reduction space redundancy indicators, evaluate the comprehensive carbon efficiency coefficients of various industries in the target park within the historical preset period, construct a carbon efficiency code identification map for the target park and provide feedback.

[0014] Compared with the prior art, the beneficial effects of the present invention are as follows: (1) The present invention avoids the defect of inaccurate detection of carbon dioxide content in exhaust gas by analyzing the direct carbon emissions of various industries in the target park within a preset historical period from the source of carbon-related fuel combustion, significantly improves the accuracy and reliability of carbon emission analysis, and provides strong support for carbon emission management and emission reduction strategy formulation of the target park.

[0015] (2) The present invention considers the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, and conducts basic carbon efficiency index analysis of each industry in the target park within a historical preset period, thereby significantly improving the comprehensiveness and accuracy of carbon emission assessment, promoting coordinated emission reduction in the industrial chain, and providing strong support for sustainable development decision-making in the target park.

[0016] (3) The present invention calculates the comprehensive carbon offset value of each industry in the target park within the historical preset period by comprehensively combining the energy-saving carbon offset value, vegetation carbon offset value and soil carbon offset value, so as to accurately obtain the carbon neutrality amount of each industry in the target park within the historical preset period. This not only improves the comprehensiveness and accuracy of the carbon neutrality assessment, but also provides strong support for formulating scientific carbon neutrality strategies and promoting the green and low-carbon transformation of the park.

[0017] (4) The present invention evaluates the carbon reduction efficiency indicators and carbon reduction space redundancy indicators of each industry in the target park within a historical preset period based on the carbon neutrality amount, which helps to accurately quantify the carbon reduction results, scientifically identify the carbon reduction potential, and more finely display the carbon reduction progress and effects of each industry to managers.

[0018] (5) The present invention integrates basic carbon efficiency indicators, carbon reduction efficiency indicators and carbon reduction space redundancy indicators to accurately evaluate the comprehensive carbon efficiency coefficients of various industries in the target park within the historical preset period, construct a carbon efficiency code identification map for the target park and provide feedback, so as to help jointly promote the improvement of the park's carbon efficiency level and the realization of green and low-carbon transformation. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for describing the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative work.

[0020] Figure 1 The present invention is a flowchart of the steps for implementing the method.

[0021] Figure 2 This is a logical diagram of evaluating the basic carbon efficiency indicators of various industries in the target park within a historical preset period in step S2 of the present invention.

[0022] Figure 3This is a logical schematic diagram for calculating the carbon neutrality of each industry in the target park within a historical preset period in step S3 of the present invention. DETAILED DESCRIPTION

[0023] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0024] See also Figure 1 As shown, the present invention provides a method for evaluating the carbon efficiency of industrial parks, including: S1. collecting carbon-related fuel usage data of various industries in the target park within a historical preset period, and analyzing the direct carbon emissions of various industries in the target park within the historical preset period.

[0025] Specifically, the carbon-related fuel usage data includes the usage type of each carbon-related fuel on each day, the cumulative consumption, and the type of each combustion gas component identified and obtained at each consumption sampling time point.

[0026] Specifically, the analysis of the direct carbon emissions of each industry in the target park within the historical preset period includes: obtaining the preset standard carbon emission factors corresponding to the usage types of each carbon-related fuel in each industry of the target park on each day within the historical preset period according to the preset standard carbon emission factors of various carbon-related fuels stored in the WEB cloud, taking the product of the preset standard carbon emission factor and the cumulative consumption as the standard carbon emissions, and obtaining the standard carbon emissions of each carbon-related fuel in each industry of the target park on each day within the historical preset period. ,in is the number of each industry in the target park, , It is the number of each day in the historical preset period. , is the number of each carbon-related fuel, .

[0027] Extract the types of combustion gas components obtained by identifying each consumption sampling time point of each carbon-related fuel in each industry of the target park on each day within the historical preset period, and compare them with the combustion gas component type sequence corresponding to each preset combustion efficiency level of each carbon-related fuel stored in the WEB cloud, obtain the combustion efficiency level of each carbon-related fuel in each industry of the target park on each day within the historical preset period at each consumption sampling time point, set the carbon emission correction weight corresponding to each combustion efficiency level, and calculate the average of the carbon emission correction weights corresponding to the combustion efficiency level of each consumption sampling time point of the carbon-related fuel on a single day to obtain the reference carbon emission correction weight of the carbon-related fuel on a single day, and then obtain the reference carbon emission correction weight of each carbon-related fuel in each industry of the target park on each day within the historical preset period .

[0028] It should be noted that the above-mentioned setting of the carbon emission correction weights corresponding to each combustion efficiency level follows the negative correlation between the combustion efficiency level and the carbon emission correction weight, that is, the higher the combustion efficiency level, the smaller the corresponding carbon emission correction weight. The basis of this principle is that the numerical value of the combustion efficiency of the carbon-related fuel is directly proportional to its corresponding combustion efficiency level. The higher the combustion efficiency level of the carbon-related fuel, the more fully the carbon-related fuel can be burned, and the actual carbon emissions generated will be closer to the standard carbon emissions of the carbon-related fuel. The necessity and magnitude of correcting its carbon emissions will be smaller, and therefore the allocated carbon emission correction weight will be smaller.

[0029] On the contrary, the lower the combustion efficiency level of the carbon-related fuel, the less complete the combustion of the carbon-related fuel is, and the less energy is released, which in turn causes the actual carbon emissions to be greater than the standard carbon emissions of the carbon-related fuel. The necessity and magnitude of correcting its carbon emissions will be greater, and the allocated carbon emission correction weight will be greater.

[0030] By formula Analyze the direct carbon emissions of each industry in the target park within the historical preset period, including is a natural constant.

[0031] The embodiment of the present invention analyzes the direct carbon emissions of various industries in the target park within a preset historical period from the source of carbon-related fuel combustion, thereby avoiding the defects of the prior art in inaccurate detection of carbon dioxide content in exhaust gases, significantly improving the accuracy and reliability of carbon emissions analysis, and providing strong support for carbon emission management and emission reduction strategy formulation in the target park.

[0032] S2. Collect the output of each industry in the target park within the historical preset period, combine it with direct carbon emissions, and evaluate the basic carbon efficiency indicators of each industry in the target park within the historical preset period.

[0033] See also Figure 2 As shown, specifically, the basic carbon efficiency indicators of each industry in the target park within the historical preset period of evaluation include: extracting the target park industry input-output relationship table stored in the WEB cloud, wherein the rows represent the destination of the industry output allocated to the downstream industries, and the columns represent the sources of the industry input from the upstream industries, and the table contains the preset standard direct consumption coefficients between the industries, obtaining the upstream industries corresponding to each industry in the target park and their preset standard direct consumption coefficients, thereby constructing the direct consumption coefficient matrix of each industry in the target park, and converting the direct consumption coefficient matrix into a Leontief inverse matrix, wherein the matrix elements represent the demand coefficients of the industry for its upstream industries.

[0034] According to the output production and direct carbon emissions of each industry in the target park within the historical preset period, a ratio analysis is carried out with direct carbon emissions as the numerator and output production as the denominator. The result of the ratio analysis is used as the direct carbon emission intensity to obtain the direct carbon emission intensity of each industry in the target park within the historical preset period.

[0035] According to the Leontief inverse matrix of each industry in the target park and the direct carbon emission intensity of each upstream industry, the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain is analyzed, and the inverse of the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain is used as the basic carbon efficiency index of each industry in the target park within the historical preset period. .

[0036] It should be noted that the above-mentioned calculation step of taking the inverse of the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain as the basic carbon efficiency index of each industry in the target park within the historical preset period is omitted. Specifically, the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain is multiplied by the output output of the corresponding industry within the historical preset period to obtain the total carbon emissions of each industry in the target park within the historical preset period, and the output output of each industry in the target park within the historical preset period is used as the numerator and the total carbon emissions as the denominator to carry out ratio analysis to evaluate and obtain the basic carbon efficiency index of each industry in the target park within the historical preset period.

[0037] It should also be noted that the complete carbon emission coefficients of the industries in the above-mentioned target parks based on their upstream industrial chains have units, and inverting them to obtain the basic carbon efficiency indicators of the industries in the target parks within the historical preset period is a dimensionless operation and does not involve unit calculations.

[0038] For example, if the target park has P1 industry, P2 industry and P3 industry, the direct carbon emissions of P1 industry, P2 industry and P3 industry in the target park within the historical preset period are 100 tons, 200 tons and 150 tons respectively, and the corresponding output values ​​are 100, 100 and 50 respectively. The preset standard direct consumption coefficient of P1 industry products per unit of production product of P2 industry is 0.3, the preset standard direct consumption coefficient of P1 industry products per unit of production product of P3 industry is 0.2, and the preset standard direct consumption coefficient of P2 industry products per unit of production product of P3 industry is 0.4.

[0039] The target park's industrial input-output relationship is shown in Table 1 below Table 1 Target Park Industry Input-Output Relationship

[0040] The direct carbon emission intensity of the target park's P1 industry, P2 industry, and P3 industry in the historical preset period is calculated as 1 ton / unit of output, 2 tons / unit of output, and 3 tons / unit of output, respectively. Taking the P3 industry as an example, its direct consumption coefficient matrix is ​​constructed as follows: , converted to the Leontief inverse matrix , and then by the formula The target park’s P3 industry is analyzed based on the complete carbon emission coefficient of its upstream industrial chain, with the unit being tons / unit of output. Therefore, the basic carbon efficiency index of the target park’s P3 industry within the historical preset period is taken as 0.2415.

[0041] Specifically, the specific process of converting the direct consumption coefficient matrix into the Leontief inverse matrix includes: marking the direct consumption coefficient matrix as A , through the formula Convert it to an inverse Leontief matrix, where is the identity matrix.

[0042] Specifically, the specific process of analyzing the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain includes: multiplying the demand coefficient of each upstream industry involved in the Leontief inverse matrix of each industry in the target park with the direct carbon emission intensity of the corresponding upstream industry, and accumulating the product of the demand coefficient of each upstream industry involved in the Leontief inverse matrix of the same industry and the direct carbon emission intensity of the corresponding upstream industry to obtain the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain.

[0043] The embodiment of the present invention considers the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, and conducts basic carbon efficiency index analysis of each industry in the target park within a historical preset period, thereby significantly improving the comprehensiveness and accuracy of carbon emission assessment, promoting coordinated emission reduction in the industrial chain, and providing strong support for sustainable development decisions of the target park.

[0044] S3. Collect the reported carbon sink data of each industry in the target park within the historical preset period, calculate the carbon neutrality amount of each industry in the target park within the historical preset period, and evaluate the carbon reduction efficiency indicators and carbon reduction space redundancy indicators of each industry in the target park within the historical preset period.

[0045] Specifically, the reported carbon sink data includes renewable energy power generation, equipment energy saving, various vegetation areas, park soil area and organic carbon content obtained from soil sampling and testing.

[0046] See also Figure 3As shown, specifically, the calculation of the carbon neutrality amount of each industry in the target park within the historical preset period includes: extracting the renewable energy power generation and equipment energy saving power from the reported carbon sink data of each industry in the target park within the historical preset period, adding the two together and multiplying them with the preset standard carbon emission factor of the target park power grid stored in the WEB cloud to obtain the energy-saving carbon offset value of each industry in the target park within the historical preset period.

[0047] It should be noted that the units of the preset standard carbon emission factors of various carbon-related fuels stored in the above-mentioned WEB cloud and the preset standard carbon emission factors of the target park power grid are different. The former is measured in kilograms of carbon dioxide per kilogram of fuel, and the latter is measured in kilograms of carbon dioxide per kilowatt-hour.

[0048] Extract various types of vegetation areas, park soil area and organic carbon content obtained from soil sampling tests in the reported carbon sink data of various industries in the target park within the historical preset period, and calculate the vegetation carbon offset value and soil carbon offset value of each industry in the target park within the historical preset period.

[0049] It should be noted that the calculation process of the vegetation carbon offset value of each industry in the target park within the above-mentioned historical preset period is as follows: according to the various vegetation areas in the reported carbon sink data of each industry in the target park within the historical preset period, the preset standard carbon dioxide absorption capacity coefficients of various vegetation stored in the WEB cloud are extracted, and the unit is kilograms of carbon dioxide / square meter*year; the ratio of the number of days in the historical preset period to the preset number of days per unit year is multiplied by the preset standard carbon dioxide absorption capacity coefficients of various vegetation to realize the correction operation of the preset standard carbon dioxide absorption capacity coefficients of various vegetation; the area of ​​each type of vegetation is multiplied by the corrected preset standard carbon dioxide absorption capacity coefficient of the corresponding type of vegetation, and the results are accumulated to obtain the vegetation carbon offset value of each industry in the target park within the historical preset period.

[0050] The calculation process of the soil carbon offset value of each industry in the target park during the above-mentioned historical preset period is as follows: the soil area of ​​the park, the organic carbon content obtained from soil sampling and testing, the preset soil capacity and the preset soil depth in the reported carbon sink data of each industry in the target park during the historical preset period are multiplied to obtain the soil carbon offset value of each industry in the target park during the historical preset period.

[0051] The energy-saving carbon offset value, vegetation carbon offset value and soil carbon offset value are accumulated to obtain the comprehensive carbon offset value of each industry in the target park within the historical preset period.

[0052] Extract the total carbon emissions of each industry in the target park within the historical preset period, and subtract the total carbon emissions from the comprehensive carbon offset value to obtain the carbon neutrality of each industry in the target park within the historical preset period.

[0053] The embodiment of the present invention calculates the comprehensive carbon offset value of each industry in the target park within the historical preset period by comprehensively combining the energy-saving carbon offset value, vegetation carbon offset value and soil carbon offset value, so as to accurately obtain the carbon neutrality amount of each industry in the target park within the historical preset period, which not only improves the comprehensiveness and accuracy of the carbon neutrality assessment, but also provides strong support for formulating scientific carbon neutrality strategies and promoting the green and low-carbon transformation of the park.

[0054] Specifically, the evaluation of the carbon reduction efficiency indicators of each industry in the target park within the historical preset period includes: using the carbon neutrality of each industry in the target park within the historical preset period as the denominator and the preset basic reference carbon neutrality stored in the WEB cloud as the numerator to carry out ratio analysis, and obtain the basic emission reduction ratio of each industry in the target park within the historical preset period ; Taking the historical preset period as the reference time span, and the total carbon emissions of each industry in the target park within the historical preset period as the reference carbon emissions, the reference periods before the historical preset period for each industry in the target park are retrieved according to predefined principles and their basic emission reduction ratios are extracted.

[0055] It should be noted that the above-mentioned predefined principle is that the time span of the reference period is the same as the reference time span and the deviation ratio between the total carbon emissions of the reference period and the reference carbon emissions is less than the preset allowable deviation ratio threshold, where the deviation ratio between the total carbon emissions of the reference period and the reference carbon emissions is obtained by subtracting the total carbon emissions of the reference period from the reference carbon emissions, converting the calculated difference into an absolute value, and then performing a ratio analysis with the reference carbon emissions.

[0056] Compare the output of each industry in the target park during the historical preset period and each reference period, and correct the basic emission reduction ratio of each industry in the target park during each reference period. The corrected basic emission reduction ratio is recorded as ,in is the number of each reference period, ; It should be noted that the specific process of correcting the basic emission reduction ratio of each industry in the target park for each reference period is as follows: taking the output of each industry in the target park in the historical preset period as the denominator, and the output of each reference period as the numerator for ratio analysis, so as to obtain the output ratio of each industry in the target park in the historical preset period and each reference period, and further multiplying it with the basic emission reduction ratio of the corresponding industry in the corresponding reference period, so as to realize the correction of the basic emission reduction ratio of each industry in the target park for each reference period.

[0057] By formula Evaluate the carbon reduction efficiency indicators of each industry in the target park within the historical preset period, is the number of reference cycles.

[0058] Specifically, the evaluation of the carbon reduction space redundancy index of each industry in the target park within the historical preset period includes: using the carbon neutrality amount of each industry in the target park within the historical preset period as the numerator and its total carbon emissions as the denominator to carry out ratio analysis, and obtain the basic carbon reduction space redundancy ratio of each industry in the target park within the historical preset period. ; According to the preset carbon reduction space redundancy ratio of various industries at the average level of the target park location stored in the WEB cloud, the preset carbon reduction space redundancy ratio of each industry at the average level of the target park is obtained. , according to the formula Analyze the carbon reduction space redundancy indicators of each industry in the target park within the historical preset period.

[0059] The embodiment of the present invention evaluates the carbon reduction efficiency indicators and carbon reduction space redundancy indicators of each industry in the target park within a historical preset period based on the carbon neutrality amount, which helps to accurately quantify the carbon reduction results, scientifically identify the carbon reduction potential, and more finely display the carbon reduction progress and effects of each industry to managers.

[0060] S4. Integrate basic carbon efficiency indicators, carbon reduction efficiency indicators and carbon reduction space redundancy indicators, evaluate the comprehensive carbon efficiency coefficients of various industries in the target park within the historical preset period, construct a carbon efficiency code identification map for the target park and provide feedback.

[0061] Specifically, the evaluation formula for the comprehensive carbon efficiency coefficient of each industry in the target park within the historical preset period is: ,in , , They are the preset weights corresponding to the basic carbon efficiency index, carbon reduction efficiency index and carbon reduction space redundancy index.

[0062] It should be noted that the construction process of the above-mentioned target park carbon efficiency code identification map is as follows: according to the carbon efficiency code identification colors corresponding to the preset intervals of each comprehensive carbon efficiency coefficient stored in the WEB cloud, the carbon efficiency code identification colors corresponding to the preset intervals of the comprehensive carbon efficiency coefficients of each industry in the target park within the historical preset period are obtained, and the color filling operation is performed at the corresponding position in the target park map, thereby constructing the target park carbon efficiency code identification map.

[0063] The embodiment of the present invention integrates basic carbon efficiency indicators, carbon reduction efficiency indicators and carbon reduction space redundancy indicators to accurately evaluate the comprehensive carbon efficiency coefficients of various industries in the target park within a historical preset period, constructs a carbon efficiency code identification map for the target park and provides feedback, so as to help jointly promote the improvement of the park's carbon efficiency level and the realization of green and low-carbon transformation.

[0064] The above contents are merely examples and explanations of the concept of the present invention. Those skilled in the art may make various modifications or additions to the specific embodiments described or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, they shall all fall within the protection scope of the present invention.

Claims

1. A method for evaluating the carbon efficiency of industrial parks, characterized in that: The method includes: S1. Collect carbon-related fuel usage data of various industries in the target park within the historical preset period, and analyze the direct carbon emissions of various industries in the target park within the historical preset period; S2. Collect the output of each industry in the target park within the historical preset period, combine it with direct carbon emissions, and evaluate the basic carbon efficiency indicators of each industry in the target park within the historical preset period; S3. Collect the reported carbon sink data of each industry in the target park within the historical preset period, calculate the carbon neutrality of each industry in the target park within the historical preset period, and evaluate the carbon reduction efficiency indicators and carbon reduction space redundancy indicators of each industry in the target park within the historical preset period; S4. Integrate basic carbon efficiency indicators, carbon reduction efficiency indicators and carbon reduction space redundancy indicators, evaluate the comprehensive carbon efficiency coefficients of various industries in the target park within the historical preset period, construct a carbon efficiency code identification map for the target park and provide feedback.

2. The industrial park carbon efficiency assessment method according to claim 1 is characterized by: The carbon-related fuel usage data includes the usage type of each carbon-related fuel on each day, the cumulative consumption, and the type of each combustion gas component identified and obtained at each consumption sampling time point; The reported carbon sink data include renewable energy power generation, equipment energy saving, various vegetation areas, park soil area and organic carbon content obtained from soil sampling and testing.

3. The method for evaluating the carbon efficiency of industrial parks according to claim 2, characterized in that: The analysis of the direct carbon emissions of each industry in the target park within the historical preset period includes: obtaining the preset standard carbon emission factors corresponding to the usage types of each carbon-related fuel in each industry of the target park on each day within the historical preset period according to the preset standard carbon emission factors of various carbon-related fuels stored in the WEB cloud, taking the product of the preset standard carbon emission factor and the cumulative consumption as the standard carbon emissions, and obtaining the standard carbon emissions of each carbon-related fuel in each industry of the target park on each day within the historical preset period ,in is the number of each industry in the target park, , It is the number of each day in the historical preset period. , is the number of each carbon-related fuel, ; Extract the types of combustion gas components obtained by identifying each consumption sampling time point of each carbon-related fuel in each industry of the target park on each day within the historical preset period, and compare them with the combustion gas component type sequence corresponding to each preset combustion efficiency level of each carbon-related fuel stored in the WEB cloud, obtain the combustion efficiency level of each carbon-related fuel in each industry of the target park on each day within the historical preset period at each consumption sampling time point, set the carbon emission correction weight corresponding to each combustion efficiency level, and calculate the average of the carbon emission correction weights corresponding to the combustion efficiency level of each consumption sampling time point of the carbon-related fuel on a single day to obtain the reference carbon emission correction weight of the carbon-related fuel on a single day, and then obtain the reference carbon emission correction weight of each carbon-related fuel in each industry of the target park on each day within the historical preset period ; By formula Analyze the direct carbon emissions of each industry in the target park within the historical preset period, including is a natural constant.

4. The method for evaluating the carbon efficiency of industrial parks according to claim 3 is characterized by: The basic carbon efficiency indicators of each industry in the target park within the historical preset period of evaluation include: extracting the target park industry input-output relationship table stored in the WEB cloud, wherein the rows represent the destination of the industrial output allocated to the downstream industries, and the columns represent the sources of the industrial input from the upstream industries, and the table contains the preset standard direct consumption coefficients between the industries, obtaining the corresponding upstream industries and their preset standard direct consumption coefficients of each industry in the target park, thereby constructing a direct consumption coefficient matrix of each industry in the target park, and converting the direct consumption coefficient matrix into a Leontief inverse matrix, wherein the matrix elements represent the demand coefficients of the industry for its upstream industries; According to the output and direct carbon emissions of each industry in the target park within the historical preset period, a ratio analysis is carried out with direct carbon emissions as the numerator and output as the denominator. The ratio analysis result is used as the direct carbon emission intensity to obtain the direct carbon emission intensity of each industry in the target park within the historical preset period; According to the Leontief inverse matrix of each industry in the target park and the direct carbon emission intensity of each upstream industry, the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain is analyzed, and the inverse of the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain is used as the basic carbon efficiency index of each industry in the target park within the historical preset period. .

5. The method for evaluating the carbon efficiency of industrial parks according to claim 4 is characterized by: The specific process of converting the direct consumption coefficient matrix into the Leontief inverse matrix includes: marking the direct consumption coefficient matrix as A , through the formula Convert it to an inverse Leontief matrix, where is the identity matrix.

6. The method for evaluating the carbon efficiency of industrial parks according to claim 4, characterized in that: The specific process of analyzing the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain includes: multiplying the demand coefficient of each upstream industry in the Leontief inverse matrix of each industry in the target park with the direct carbon emission intensity of the corresponding upstream industry, and accumulating the product of the demand coefficient of each upstream industry in the Leontief inverse matrix of the same industry and the direct carbon emission intensity of the corresponding upstream industry to obtain the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain.

7. A method for evaluating the carbon efficiency of industrial parks according to claim 4, characterized in that: The calculation of the carbon neutrality of each industry in the target park within the historical preset period includes: extracting the renewable energy power generation and equipment energy saving power from the reported carbon sink data of each industry in the target park within the historical preset period, accumulating the two and multiplying them with the preset standard carbon emission factor of the target park power grid stored in the WEB cloud to obtain the energy-saving carbon offset value of each industry in the target park within the historical preset period; Extract the various vegetation areas, park soil area and organic carbon content obtained from soil sampling tests from the carbon sink data reported by various industries in the target park within the historical preset period, and calculate the vegetation carbon offset value and soil carbon offset value of each industry in the target park within the historical preset period; The energy conservation carbon offset value, vegetation carbon offset value and soil carbon offset value are accumulated to obtain the comprehensive carbon offset value of each industry in the target park within the historical preset period; Extract the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, and multiply it with the output output of the corresponding industry in the historical preset period to obtain the total carbon emissions of each industry in the target park in the historical preset period. Subtract the total carbon emissions from the comprehensive carbon offset value to obtain the carbon neutrality of each industry in the target park in the historical preset period.

8. The method for evaluating the carbon efficiency of industrial parks according to claim 7 is characterized by: The evaluation of the carbon reduction efficiency indicators of each industry in the target park within the historical preset period includes: using the carbon neutrality of each industry in the target park within the historical preset period as the denominator and the preset basic reference carbon neutrality stored in the WEB cloud as the numerator to carry out ratio analysis, and obtain the basic emission reduction ratio of each industry in the target park within the historical preset period ; Taking the historical preset period as the reference time span, taking the total carbon emissions of each industry in the target park within the historical preset period as the reference carbon emissions, searching for each reference period before the historical preset period for each industry in the target park according to the predefined principle and extracting its basic emission reduction ratio; Compare the output of each industry in the target park during the historical preset period and each reference period, and correct the basic emission reduction ratio of each industry in the target park during each reference period. The corrected basic emission reduction ratio is recorded as ,in is the number of each reference period, ; By formula Evaluate the carbon reduction efficiency indicators of each industry in the target park within the historical preset period, is the number of reference cycles.

9. A method for evaluating the carbon efficiency of industrial parks according to claim 8, characterized in that: The evaluation of the carbon reduction space redundancy index of each industry in the target park within the historical preset period includes: using the carbon neutrality amount of each industry in the target park within the historical preset period as the numerator and its total carbon emissions as the denominator to carry out ratio analysis, and obtain the basic carbon reduction space redundancy ratio of each industry in the target park within the historical preset period. ; According to the preset carbon reduction space redundancy ratio of various industries at the average level of the target park location stored in the WEB cloud, the preset carbon reduction space redundancy ratio of various industries at the average level of the target park is obtained. , according to the formula Analyze the carbon reduction space redundancy indicators of each industry in the target park within the historical preset period.

10. A method for evaluating the carbon efficiency of industrial parks according to claim 9, characterized in that: The evaluation formula for the comprehensive carbon efficiency coefficient of each industry in the target park within the historical preset period is: ,in , , They are the preset weights corresponding to the basic carbon efficiency index, carbon reduction efficiency index and carbon reduction space redundancy index.

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