A method for evaluating the carbon efficiency of park industries

Abstract

The present invention belongs to the technical field of carbon efficiency assessment, and relates to a method for assessing the carbon efficiency of industries in a park. By analyzing the direct carbon emissions of each industry in the target park during a historical preset period from the source of carbon-containing fuel combustion, combining with the output of each industry in the target park, and carefully considering the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, the analysis of the basic carbon efficiency index of each industry in the target park during the historical preset period is carried out. By comprehensively considering the energy-saving carbon offset value, vegetation carbon offset value and soil carbon offset value, the carbon neutralization amount of each industry in the target park during the historical preset period is accurately obtained, so as to evaluate the carbon reduction efficiency index and carbon reduction space redundancy index of each industry in the target park during the historical preset period. Integrating the basic carbon efficiency index, carbon reduction efficiency index and carbon reduction space redundancy index, the comprehensive carbon efficiency coefficient of each industry in the target park during the historical preset period is evaluated, effectively realizing the accurate carbon efficiency assessment of the industries in the power grid park.

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 the global response to climate change and the pursuit of sustainable development, as an important hub for energy production and consumption, the carbon efficiency management of power grid industrial parks has become a key link in achieving the transformation to a low-carbon economy. Therefore, how to scientifically and accurately evaluate the carbon emissions of industrial parks has become particularly important.

[0003] In the prior art, there are also some related solutions involving the carbon efficiency assessment of industrial parks. For example, the comprehensive evaluation method and system for multi-energy demand parks for low-carbon economic operation with the Chinese patent publication number CN114239292B obtains the electricity, cooling, and heating demand and supply amounts of each period within the historical duration of the park, and simultaneously obtains the supply-demand cost data. It constructs a data judgment set composed of all multi-energy data samples, performs screening and analysis based on the data judgment set to obtain a key data judgment set. According to the types of priced energy supply substances in the multi-energy system of the park, it respectively constructs a mathematical model for energy utilization efficiency and a mathematical model for low-carbon loss. Based on the key data judgment set, using the mathematical models for energy utilization efficiency and low-carbon loss, it obtains the comprehensive evaluation value of the low-carbon multi-energy operation management platform of the park, and obtains a more comprehensive and reliable comprehensive evaluation result of the low-carbon multi-energy system of the park, which has more practical reference value.

[0004] Another Chinese patent with the publication number CN116362138A, which is an artificial intelligence park carbon monitoring method based on big data, obtains the electricity consumption data of the artificial intelligence park, extracts features from the electricity consumption data, calculates the extracted feature data to obtain the carbon emissions, obtains the green forest vegetation area of the artificial intelligence park, obtains the carbon absorption amount according to the green forest vegetation area, performs intelligent analysis on the carbon emissions and the carbon absorption amount to obtain the final carbon emissions, and predicts the future carbon emission changes. By jointly evaluating the carbon emissions of the artificial intelligence park through the impact of the power consumption side on carbon emissions, the reliability of carbon emission monitoring is achieved. Further, by monitoring the area of green forest vegetation, the actual carbon emissions of the city can be obtained, increasing the accurate measurement of carbon emissions and carbon absorption, facilitating the accuracy and stability of carbon emission data analysis, and enabling effective remote monitoring to achieve early warning and control of the carbon emissions of the artificial intelligence park.

[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) By analyzing the direct carbon emissions of each industry in the target park within the historical preset period from the source of carbonaceous fuel combustion, the present invention avoids the defect of inaccurate detection of the carbon dioxide content in the emission gas in the prior art, significantly improves the accuracy and reliability of carbon emission analysis, and provides strong support for carbon emission management and emission reduction strategy formulation in the target park.

[0015] (2) By considering the complete carbon emission coefficients of each industry in the target park based on its upstream industrial chain, the present invention analyzes the basic carbon efficiency indicators of each industry in the target park within the historical preset period, significantly improves the comprehensiveness and accuracy of carbon emission assessment, promotes collaborative emission reduction in the industrial chain, and provides strong support for sustainable development decision-making in the target park.

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

[0017] (4) Based on the carbon neutralization amount, the present invention evaluates the carbon emission reduction efficiency indicators and carbon emission reduction space redundancy indicators of each industry in the target park within the historical preset period, which helps to accurately quantify the carbon emission reduction effect, scientifically identify the carbon emission reduction potential, and more precisely show the carbon emission reduction progress and effect of each industry to the manager.

[0018] (5) By integrating the basic carbon efficiency indicators, carbon emission reduction efficiency indicators, and carbon emission reduction space redundancy indicators, the present invention accurately evaluates the comprehensive carbon efficiency coefficient of each industry in the target park within the historical preset period, constructs a carbon efficiency code identification map of the target park and gives feedback, which helps to jointly promote the improvement of the carbon efficiency level of the park and the realization of the green and low-carbon transformation. Description of the Drawings

[0019] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, other drawings can be obtained based on these drawings without creative efforts.

[0020] Figure 1 It is a flowchart of the method implementation steps of the present invention.

[0021] Figure 2 It is a logical schematic diagram for evaluating the basic carbon efficiency indicators of each industry in the target park within the historical preset period in step S2 of the present invention.

[0022] Figure 3This is a logical schematic diagram for calculating the carbon neutralization amount of each industry in the target park during the historical preset period in step S3 of the present invention. Specific embodiments

[0023] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0024] Please refer to Figure 1 As shown, the present invention provides a method for evaluating the carbon efficiency of park industries, including: S1. Collecting the carbon-related fuel usage data of each industry in the target park during the historical preset period, and analyzing the direct carbon emissions of each industry in the target park during the historical preset period.

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

[0026] Specifically, the analysis of the direct carbon emissions of each industry in the target park during the historical preset period includes: obtaining the preset standard carbon emission factors corresponding to the usage types of each carbon-related fuel of each industry in the target park per day during 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 factors and the cumulative consumption as the standard carbon emissions, and obtaining the standard carbon emissions of each carbon-related fuel of each industry in the target park per day during the historical preset period , where is the number of each industry in the target park, , is the number of each day during the historical preset period, , is the number of each carbon-related fuel, .

[0027] Extract the types of combustion gas components identified at each consumption sampling time point of each carbon-related fuel of each industry in the target park per day during the historical preset period, compare them with the sequences of combustion gas component types involved corresponding to each combustion efficiency level preset for each carbon-related fuel stored in the WEB cloud, obtain the combustion efficiency levels at which each consumption sampling time point of each carbon-related fuel of each industry in the target park per day is located, set the carbon emission correction weights corresponding to each combustion efficiency level, calculate the average value of the carbon emission correction weights corresponding to the combustion efficiency levels at which each consumption sampling time point of the carbon-related fuel per day is located to obtain the reference carbon emission correction weight of the carbon-related fuel per day, and further obtain the reference carbon emission correction weights of each carbon-related fuel of each industry in the target park per day during the historical preset period 。

[0028] It should be noted that the above-set carbon emission correction weights corresponding to each combustion efficiency level follow an inverse 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 for this principle is that the value of the combustion efficiency of carbon-containing fuels is directly proportional to the combustion efficiency level they correspond to. When the carbon-containing fuel is at a higher combustion efficiency level, it means that the carbon-containing fuel can burn more fully, and the actual carbon emissions will approach the standard carbon emissions of the carbon-containing fuel. The necessity and amplitude of correcting its carbon emissions are smaller, so the allocated carbon emission correction weight is smaller.

[0029] On the contrary, when the carbon-containing fuel is at a lower combustion efficiency level, it means that the carbon-containing fuel burns insufficiently and does not release energy completely, which in turn leads to the actual carbon emissions being greater than the standard carbon emissions of the carbon-containing fuel. The necessity and amplitude of correcting its carbon emissions are greater, so the allocated carbon emission correction weight is greater.

[0030] From the formula Analyze the direct carbon emissions of each industry in the target park during the historical preset period, where is the natural constant.

[0031] Through the present invention's embodiment, by analyzing the direct carbon emissions of each industry in the target park during the historical preset period from the source of carbon-containing fuel combustion, it avoids the defect of inaccurate detection of the carbon dioxide content in the emission gas in the prior art, significantly improves the accuracy and reliability of carbon emission analysis, and provides strong support for the carbon emission management and emission reduction strategy formulation of the target park.

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

[0033] Please refer to Figure 2 As shown, specifically, the evaluation of the basic carbon efficiency indicators of each industry in the target park during the historical preset period includes: extracting the input-output relationship table of the target park industry stored in the WEB cloud. Its rows represent the destinations of industry outputs allocated to downstream industries, and its columns represent the sources of industry inputs from upstream industries. The table contains the preset standard direct consumption coefficients between industries. Obtain the corresponding upstream industries and their preset standard direct consumption coefficients for each industry in the target park, and thus construct the direct consumption coefficient matrix of each industry in the target park. Convert the direct consumption coefficient matrix into a Leontief inverse matrix, and its matrix elements represent the demand coefficients of the industry for its respective upstream industries.

[0034] According to the output production and direct carbon emissions of each industry in the target park within the historical preset period, the direct carbon emissions are used as the numerator and the output production as the denominator to conduct ratio analysis, and 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.

[0035] According to the Leontief inverse matrix of each industry in the target park and the direct carbon emission intensity of its respective upstream industries, analyze the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, and use the reciprocal 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. 。

[0036] It should be noted that the above-mentioned use of the reciprocal 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 omits the calculation steps. Specifically: Multiply the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain by the output production 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. Use the output production of each industry in the target park within the historical preset period as the numerator and the total carbon emissions as the denominator to conduct 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 also should be noted that the above-mentioned complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain has a unit, and taking its reciprocal to obtain the basic carbon efficiency index of each industry in the target park within the historical preset period is a dimensionless operation and does not involve unit calculation.

[0038] Exemplarily, if there are P1 industry, P2 industry and P3 industry in the target park, the direct carbon emissions corresponding to 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 production values are 100, 100 and 50 respectively. The preset standard direct consumption coefficient of P1 industry products consumed by P2 industry to produce unit products is 0.3, the preset standard direct consumption coefficient of P1 industry products consumed by P3 industry to produce unit products is 0.2, and the preset standard direct consumption coefficient of P2 industry products consumed by P3 industry to produce unit products is 0.4.

[0039] The input-output relationship of the industries in the target park is shown in Table 1 below

[0040] Table 1 Input-output relationship table of the industries in the target park

[0041]

[0042] Then, the direct carbon emission intensities corresponding to the industries P1, P2, and P3 in the target park during the historical preset period are calculated as 1 ton / unit output, 2 tons / unit output, and 3 tons / unit output respectively. Taking industry P3 as an example, its direct consumption coefficient matrix is constructed as , and it is transformed into the Leontief inverse matrix . Furthermore, from the formula , the complete carbon emission coefficient of industry P3 in the target park based on its upstream industrial chain is analyzed, with the unit of ton / unit output. Then, the basic carbon efficiency index value of industry P3 in the target park during the historical preset period is 0.2415.

[0043] 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 , and converting it into the Leontief inverse matrix through the formula , where is the identity matrix.

[0044] Specifically, the specific process of analyzing the complete carbon emission coefficients of each industry in the target park based on its upstream industrial chain includes: multiplying the demand coefficients of each upstream industry involved in the Leontief inverse matrix of each industry in the target park by the direct carbon emission intensity of the corresponding upstream industry, and accumulating the products of the demand coefficients 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 coefficients of each industry in the target park based on its upstream industrial chain.

[0045] In the embodiment of the present invention, by considering the complete carbon emission coefficients of each industry in the target park based on its upstream industrial chain, the analysis of the basic carbon efficiency indicators of each industry in the target park during the historical preset period is carried out, which significantly improves the comprehensiveness and accuracy of carbon emission assessment, promotes collaborative carbon emission reduction in the industrial chain, and provides strong support for the sustainable development decision-making of the target park.

[0046] S3. Collect the reported carbon sink data of each industry in the target park during the historical preset period, calculate the carbon neutralization amount of each industry in the target park during the historical preset period, and evaluate the carbon emission reduction efficiency indicators and carbon emission reduction space redundancy indicators of each industry in the target park during the historical preset period.

[0047] Specifically, the reported carbon sink data includes renewable energy power generation, equipment energy-saving power, various vegetation areas, the occupied area of the park soil, and the organic carbon content obtained from sampling and testing the soil.

[0048] Please refer to Figure 3As shown, specifically, calculating the carbon neutralization amount of each industry in the target park within the preset historical period includes: extracting the renewable energy power generation and equipment energy-saving power in the reported carbon sink data of each industry in the target park within the preset historical period, adding the two together, and multiplying the sum by the preset standard carbon emission factor of the target park's power grid stored in the WEB cloud to obtain the energy-saving carbon offset value of each industry in the target park within the preset historical period.

[0049] It should be noted that the units of the above-mentioned preset standard carbon emission factors of various carbon-containing fuels stored in the WEB cloud and the preset standard carbon emission factor of the target park's power grid are different. The former unit is kilograms of carbon dioxide per kilogram of fuel, and the latter unit is kilograms of carbon dioxide per kilowatt-hour.

[0050] Extract the area of various types of vegetation, the area of the park's soil occupation, and the organic carbon content obtained by sampling soil detection in the reported carbon sink data of each industry in the target park within the preset historical period, and calculate the vegetation carbon offset value and soil carbon offset value of each industry in the target park within the preset historical period.

[0051] 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 preset historical period is as follows: According to the area of various types of vegetation in the reported carbon sink data of each industry in the target park within the preset historical period, extract the preset standard carbon dioxide absorption capacity coefficient of various types of vegetation stored in the WEB cloud, and its unit is kilograms of carbon dioxide per square meter per year. Multiply the ratio of the number of days in the preset historical period to the number of days in the preset unit of years by the preset standard carbon dioxide absorption capacity coefficient of various types of vegetation to perform the correction operation of the preset standard carbon dioxide absorption capacity coefficient of various types of vegetation. Multiply the area of various types of vegetation by the corrected preset standard carbon dioxide absorption capacity coefficient of its corresponding type of vegetation, and perform accumulation to obtain the vegetation carbon offset value of each industry in the target park within the preset historical period.

[0052] The calculation process of the soil carbon offset value of each industry in the target park within the above-mentioned preset historical period is as follows: Perform a multiplication operation on the area of the park's soil occupation, the organic carbon content obtained by sampling soil detection, the preset soil capacity, and the preset soil depth in the reported carbon sink data of each industry in the target park within the preset historical period to obtain the soil carbon offset value of each industry in the target park within the preset historical period.

[0053] Add the energy-saving carbon offset value, the vegetation carbon offset value, and the soil carbon offset value to obtain the comprehensive carbon offset value of each industry in the target park within the preset historical period.

[0054] Extract the total carbon emissions of each industry in the target park within the preset historical period, and subtract the comprehensive carbon offset value from the total carbon emissions to obtain the carbon neutralization amount of each industry in the target park within the preset historical period.

[0055] In the embodiments of the present invention, by comprehensively considering the energy-saving carbon offset value, vegetation carbon offset value, and soil carbon offset value, the comprehensive carbon offset value of each industry in the target park within the historical preset period is calculated to accurately obtain the carbon neutralization amount of each industry in the target park within the historical preset period, which not only improves the comprehensiveness and accuracy of carbon neutralization amount assessment, but also provides strong support for formulating scientific carbon neutralization strategies and promoting the green and low-carbon transformation of the park.

[0056] Specifically, the carbon emission reduction efficiency indicators for each industry in the target park within the historical preset period include: taking the carbon neutralization amount of each industry in the target park within the historical preset period as the denominator and the preset basic reference carbon neutralization amount stored in the WEB cloud as the numerator for ratio analysis to obtain the basic emission reduction ratio of each industry in the target park within the historical preset period. ;

[0057] 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, retrieve the basic emission reduction ratios of each industry in the target park relative to each reference period before the historical preset period according to predefined principles.

[0058] It should be noted that the above predefined principle is that the time span of the reference period is the same as the reference time span and the deviation ratio of the total carbon emissions of the reference period to the reference carbon emissions is less than the preset allowable deviation ratio threshold, where the deviation ratio of the total carbon emissions of the reference period to the reference carbon emissions is obtained by taking the difference between the total carbon emissions of the reference period and the reference carbon emissions, taking the absolute value of the calculated difference, and then performing ratio analysis with the reference carbon emissions.

[0059] Compare the output of each industry in the target park in the historical preset period with that in each reference period, correct the basic emission reduction ratio of each reference period of each industry in the target park, and record the corrected basic emission reduction ratio as , where is the number of each reference period, ;

[0060] It should be noted that the specific process of correcting the basic emission reduction ratio of each reference period of each industry in the target park 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 to obtain the output ratio between the historical preset period and each reference period of each industry in the target park, and then multiplying it by the basic emission reduction ratio of the corresponding industry and corresponding reference period to achieve the correction of the basic emission reduction ratio of each reference period of each industry in the target park.

[0061] Through the formula evaluate the carbon emission reduction efficiency indicators of each industry in the target park within the historical preset period, is the number of reference periods.

[0062] Specifically, the carbon emission reduction space redundancy indicators of each industry in the target park within the preset historical period include: taking the carbon neutralization amount of each industry in the target park within the preset historical period as the numerator and its total carbon emission as the denominator for ratio analysis to obtain the basic carbon emission reduction space redundancy ratio of each industry in the target park within the preset historical period ;

[0063] Obtain the preset carbon emission reduction space redundancy ratio of each industry in the target park based on the preset carbon emission reduction space redundancy ratio at the average level of various industries where the target park is located stored in the WEB cloud , and analyze the carbon emission reduction space redundancy indicators of each industry in the target park within the preset historical period by the formula .

[0064] The embodiment of the present invention evaluates the carbon emission reduction efficiency indicators and carbon emission reduction space redundancy indicators of each industry in the target park within the preset historical period based on the carbon neutralization amount, which helps to accurately quantify the carbon emission reduction achievements, scientifically identify the carbon emission reduction potential, and more precisely display the carbon emission reduction progress and effects of each industry to the managers

[0065] S4. Integrate the basic carbon efficiency indicator, carbon emission reduction efficiency indicator, and carbon emission reduction space redundancy indicator to evaluate the comprehensive carbon efficiency coefficient of each industry in the target park within the preset historical period, and construct and feedback the carbon efficiency code identification map of the target park

[0066] Specifically, the evaluation formula for the comprehensive carbon efficiency coefficient of each industry in the target park within the preset historical period is , where , , are the preset weights corresponding to the basic carbon efficiency indicator, carbon emission reduction efficiency indicator, and carbon emission reduction space redundancy indicator respectively

[0067] It should be noted that the construction process of the above carbon efficiency code identification map of the target park 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, obtain the carbon efficiency code identification colors corresponding to the preset intervals where the comprehensive carbon efficiency coefficients of each industry in the target park within the preset historical period are located, and perform color filling operations at the corresponding positions within the target park map, thereby constructing the carbon efficiency code identification map of the target park

[0068] The embodiment of the present invention accurately evaluates the comprehensive carbon efficiency coefficient of each industry in the target park within the preset historical period by integrating the basic carbon efficiency indicator, carbon emission reduction efficiency indicator, and carbon emission reduction space redundancy indicator, constructs and feedbacks the carbon efficiency code identification map of the target park, and helps to jointly promote the improvement of the carbon efficiency level of the park and the realization of green and low-carbon transformation

[0069] The above content is only an example and illustration of the concept of the present invention. Those skilled in the art to which the present technology pertains can make various modifications or supplements to the described specific embodiments or use similar methods for substitution, as long as they do not deviate from the concept of the invention or exceed the scope defined by the present invention, and all should fall within the protection scope of the present invention.

Claims

1. A method for evaluating the carbon efficiency of park industries, characterized in that The method includes: S1. Collect the carbon-related fuel usage data of each industry in the target park within the historical preset period, and analyze the direct carbon emissions of each industry 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, and combine it with the direct carbon emissions to 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 neutralization 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; S4. Integrate the basic carbon efficiency indicators, carbon reduction efficiency indicators and carbon reduction space redundancy indicators, evaluate the comprehensive carbon efficiency coefficient of each industry in the target park within the historical preset period, construct the carbon efficiency code identification map of the target park and give feedback; The carbon-related fuel usage data includes the usage type, cumulative consumption of each carbon-related fuel per day, and the types of each combustion gas component identified at each consumption sampling time point; The reported carbon sink data includes renewable energy power generation, equipment energy-saving power, various vegetation areas, the occupied area of the park soil, and the organic carbon content obtained by sampling and testing the soil; analyzing the direct carbon emissions of each industry in the target park within the historical preset period, including: obtaining the corresponding preset standard carbon emission factors for the usage types of each carbon-related fuel of each industry in 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 emission, and obtaining the standard carbon emissions C of each carbon-related fuel of each industry in the target park on each day within the historical preset period ijr , where i is the number of each industry in the target park, i = 1, 2,..., a, j is the number of each day within the historical preset period, j = 1, 2,..., b, and r is the number of each carbon-related fuel, r = 1, 2,..., g; Extract the types of combustion gas components identified and obtained at each consumption sampling time point of each carbon-related fuel for each industry, each day in the target park within the historical preset period, and compare them with the sequence of combustion gas component types corresponding to each preset combustion efficiency level of each carbon-related fuel stored in the WEB cloud to obtain the combustion efficiency level at which each consumption sampling time point of each carbon-related fuel for each industry, each day in the target park is located within the historical preset period. Set the carbon emission correction weights corresponding to each combustion efficiency level, and calculate the mean of the carbon emission correction weights corresponding to the combustion efficiency level at which each consumption sampling time point of the carbon-related fuel for a single day is located, so as to obtain the reference carbon emission correction weight of the carbon-related fuel for a single day, and further obtain the reference carbon emission correction weight δ of each carbon-related fuel for each industry, each day in the target park within the historical preset period ijr ; From the formula Analyze the direct carbon emissions of each industry in the target park during the historical preset period, where e is the natural constant.

2. The method for evaluating the carbon efficiency of park industries according to claim 1, wherein: Evaluating the basic carbon efficiency indicators of each industry in the target park within the historical preset period includes: extracting the input-output relationship table of the target park industry stored in the WEB cloud, where the rows represent the destinations of the industry output distributed to downstream industries, the columns represent the sources of the industry input from upstream industries, and the table contains the preset standard direct consumption coefficients between industries, obtaining the corresponding upstream industries and their preset standard direct consumption coefficients for each industry in the target park, and constructing the direct consumption coefficient matrix of each industry in the target park, converting the direct consumption coefficient matrix into the Leontief inverse matrix, and 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, use the direct carbon emissions as the numerator and the output as the denominator to conduct ratio analysis, and use the ratio analysis result 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 its upstream industries, analyze the complete carbon emission coefficient of each industry in the target park based on its upstream industrial chain, and take the reciprocal 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 ξ of each industry in the target park during the historical preset period i .

3. The method for evaluating the carbon efficiency of park industries according to claim 2, wherein: The specific process of converting the direct consumption coefficient matrix into the Leontief inverse matrix includes: marking the direct consumption coefficient matrix as A, and through the formula A′=(I - A) -1 to convert it into the Leontief inverse matrix, where I is the identity matrix.

4. The method for evaluating the carbon efficiency of park industries according to claim 3, wherein: 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 coefficients of each upstream industry involved in the Leontief inverse matrix of each industry in the target park by the direct carbon emission intensity of the corresponding upstream industry, and accumulating the products of the demand coefficients 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.

5. The method for evaluating the carbon efficiency of park industries according to claim 2, characterized in that: Calculating the carbon neutralization 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 and multiplying by 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 area of various types of vegetation, the area of the park soil occupied, and the organic carbon content obtained by sampling soil detection from the reported carbon sink data of each industry 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; Add the energy-saving carbon offset value, the vegetation carbon offset value, and the soil carbon offset value to obtain the comprehensive carbon offset value of each industry in the target park within the historical preset period; Extract the complete carbon emission coefficients of each industry in the target park based on its upstream industrial chain, multiply them by the 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 subtract the comprehensive carbon offset value from the total carbon emissions to obtain the carbon neutralization amount of each industry in the target park within the historical preset period.

6. The method for evaluating the carbon efficiency of park industries according to claim 5, characterized in that: Evaluating the carbon reduction efficiency indicators of each industry in the target park within the preset historical period, including: taking the carbon neutralization amount of each industry in the target park within the preset historical period as the denominator and the preset basic reference carbon neutralization amount stored in the WEB cloud as the numerator to conduct ratio analysis, and obtaining the basic emission reduction ratio k of each industry in the target park within the preset historical period i ; 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, retrieve the basic emission reduction ratios of each industry in the target park relative to each reference period before the historical preset period according to the predefined principle; Compare the output yields of each industry in the target park during the historical preset period and each reference period, correct the basic emission reduction ratios of each industry in each reference period of the target park, and denote the corrected basic emission reduction ratio as k i ′ w , where w is the number of each reference period, w = 1, 2,..., u; Through the formula Evaluate the carbon reduction efficiency indicators of each industry in the target park within the historical preset period, where u is the number of reference periods.

7. The carbon efficiency evaluation method for park industries according to claim 6, wherein: Evaluating the carbon reduction space redundancy index of each industry in the target park within the preset historical period, including: taking the carbon neutralization amount of each industry in the target park within the preset historical period as the numerator and its total carbon emissions as the denominator to conduct ratio analysis, and obtaining the basic carbon reduction space redundancy ratio η of each industry in the target park within the preset historical period i ; Obtain the preset carbon emission reduction space redundancy ratio η i ′ at the average level of various industries in the target park where the WEB cloud storage is located according to the preset carbon emission reduction space redundancy ratio, and analyze the carbon emission reduction space redundancy indicators of each industry in the target park during the historical preset period by the formula ​ 8. The carbon efficiency evaluation method for park industries according to claim 7, wherein: The evaluation formula for the comprehensive carbon efficiency coefficient of each industry in the target park within the historical preset period is where are the preset weights corresponding to the basic carbon efficiency index, carbon reduction efficiency index, and carbon reduction space redundancy index respectively.

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