Low-carbon transformer area adjustable resource carbon footprint tracking method based on electrical subdivision

Abstract

The invention relates to a low-carbon transformer area adjustable resource carbon footprint tracking method based on electrical subdivision, and the method comprises the following steps: 1, carrying out the electrical subdivision of a power network, and dividing the power network into a plurality of transformer areas; 2, performing carbon footprint calculation on electric energy consumption and adjustable and controllable resources of each transformer area by adopting an input-output method and a life cycle evaluation method; 3, constructing a carbon footprint calculation model based on the industrial department direct emission intensity of energy consumption; and step 4, realizing carbon footprint tracking of adjustable and controllable resources of the low-carbon court. The method has the advantages that the carbon footprint calculation model is established, the carbon source is clear, and the low-carbon operation of the transformer area is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of resource regulation and tracking in power stations, and specifically relates to a carbon footprint tracking method for adjustable resources in low-carbon power stations based on electrical dissection. Background Art

[0002] How to coordinate and control the adjustable resources in the substation and coordinate and optimize different types of energy units to achieve low-carbon energy use in the substation is the focus of research on future substation operation decisions. There are a large number of adjustable resources within the substation, so it is necessary to reasonably aggregate and regulate these resources to promote the consumption of new energy and reduce carbon emissions in the substation; in addition, the carbon emissions of power users in my country have grown rapidly in recent years, among which the growth of electricity consumption is an important reason for the increase in carbon emissions on the user side. In order to more timely and effectively analyze the source of carbon of electrical equipment in the substation, it is necessary to track the carbon footprint of adjustable resources and deeply analyze the entire carbon emission process; therefore, it is very necessary to provide a low-carbon substation adjustable resource carbon footprint tracking method based on electrical dissection to establish a carbon footprint calculation model, clarify the carbon source, and achieve low-carbon operation of the substation. Summary of the invention

[0003] The purpose of the present invention is to overcome the shortcomings of the prior art and to provide a method for tracking the carbon footprint of adjustable resources in low-carbon power stations based on electrical dissection, which can establish a carbon footprint calculation model, clarify carbon sources, and achieve low-carbon operation of power stations.

[0004] The object of the present invention is achieved by: a method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection, the method comprising the following steps:

[0005] Step 1: Divide the power network into multiple substations by electrically segmenting the power network;

[0006] Step 2: Use the input-output method and life cycle assessment method to calculate the carbon footprint of each area's electricity consumption and adjustable resources;

[0007] Step 3: Construct a carbon footprint calculation model based on the direct emission intensity of industrial sectors with energy consumption;

[0008] Step 4: This will enable carbon footprint tracking of controllable resources in low-carbon areas.

[0009] The carbon emission footprint analysis based on the input-output method in step 2 specifically includes the following steps:

[0010] Step 2.1: Based on the multi-sector value input-output table, calculate the complete demand matrix, also known as the Leontief inverse matrix (1-A) -1 ;

[0011] Step 2.2: Calculate the carbon emissions per unit value of output of each industrial sector, which is the carbon emission intensity. According to the carbon emission accounting results of previous years, the carbon emissions of each industrial sector are obtained. Combined with the output level of each industrial sector, the carbon emission intensity vector c is obtained;

[0012] Step 2.3: Diagonalize the carbon emission intensity vector and multiply it by the total demand matrix (1-A) on the left. -1 , that is, the complete carbon emission demand matrix T is obtained, which can also become the carbon emission multiplier matrix;

[0013] Step 4: According to the algorithm of compound multiplier, the carbon emission matrices of domestic final consumption capital formation and export are expressed as FC, FA, and FE respectively, which are obtained by multiplying the carbon emission complete demand matrix by the diagonal matrix of the final use of each department and its component matrix;

[0014] Step 5: Calculate the carbon emission demand of import trade, assuming that the average production technology level, carbon emission total demand coefficient and structure of the countries providing imported products are similar to those of China, and that import trade distinguishes between imports directly used for final demand and imports used for indirect demand, and calculate the carbon emission matrix IM corresponding to the direct use of foreign products d ;

[0015] Step 6: According to the above accounting steps, the input-output analysis of carbon emissions in other years can be carried out to obtain the detailed carbon emissions of my country in these years.

[0016] The carbon footprint calculation using the life cycle assessment method in step 2 specifically includes the following steps:

[0017] Step a: Determination of functional units: After selecting the calculation object, determine the functional unit;

[0018] Step b: Determination of boundaries: that is, determining which unit processes are part of the system through a set of criteria;

[0019] Step c: Data collection: Collect activity data and emission factors at each stage of the life cycle. The data are divided into primary data and secondary data;

[0020] Step d: Carbon footprint calculation.

[0021] The carbon footprint calculation in step d is specifically as follows: greenhouse gas emissions can be expressed as carbon dioxide emissions equivalent CO 2eq Indicates that their relationship can be expressed as: Where GHG i is the mass of the ith greenhouse gas; GWP i is the global warming potential of the ith greenhouse gas; CO 2eqis the carbon dioxide emission equivalent; i is the type of greenhouse gas; the total carbon emission should be the sum of all carbon emissions in each stage of the product life cycle, namely, the raw material and energy acquisition stage, parts and product manufacturing stage, transportation stage, use stage and recycling stage. The calculation model is as follows: Where: G is the total carbon emissions of the product; M i is the physical quantity of the i-th type of material consumed in production activities; EF i1 is the emission factor of the i-th type of material; E i EF is the physical amount of the i-th type of energy consumed in production activities; i2 is the emission factor for energy production of type i; T i The weight of the product or material transported by the i-th type of transport; D i is the transport distance of the i-th type of transport; EF i3 is the emission factor of the i-th type of vehicle; E is the power consumption of the product; Tw is the average operating time of the product; EF i4 E is the average electricity emission factor of the power grid in the area where the product is used; ri The physical amount of type i energy consumed in the recovery production activities; EF i5 M is the emission factor for the i-th energy production; ri The physical quantity of Category I material that can be recycled in the product.

[0022] The direct emission intensity of the industrial sector based on energy consumption in step 3 is specifically as follows: Energy consumption refers to the energy consumed by the construction industry and related industries in the production process, including coal, coke, crude oil, gasoline, kerosene, diesel, fuel oil, natural gas, and electricity, a total of 9 types. Let E ik is the amount of energy consumed by the i-th industrial sector, and the standard coal conversion coefficient of various energy sources is SC k 、The CO2 release coefficient of various energy sources is RC k , then the standard coal consumed by the i-production sector for the k-th energy source is SE ik , that is: SE ik =E ik ×SC k , then the amount of CO2 released by the consumption of the kth energy by the i-th industry sector is: DC ik =SE ik ×RC k , then the amount of CO2 directly released by industry sector i is DC i , that is, the direct carbon emissions are:

[0023] The step 3 of constructing the carbon footprint calculation model specifically includes the following steps:

[0024] Step 3.1: Direct consumption coefficient: Let the first quadrant of the direct consumption coefficient matrix of the input-output table be A = (a ij ) n×n ,(i,j=1,2,3,...,n), we have: a ij =X ij / X j ,(0≤a ij ≤1), where a ij is the direct consumption coefficient of the products or services of the i industry sector by the j industry sector; X ij is the direct consumption of industry sector j on industry sector i; X j is the total output value of industry sector j;

[0025] Step 3.2: Total demand coefficient matrix: Based on the direct consumption coefficient, the total demand coefficient matrix of the industrial sector can be calculated. Where I is the unit matrix; The total demand for the products or services of industry sector i when providing one unit of final use for industry sector j;

[0026] Step 3.3: Carbon emission intensity and consumption coefficient of industrial sectors: Carbon emission intensity refers to the CO2 released per unit output value of each industrial sector of the national economy, and its unit is tCO 2-eq / 10,000 yuan, assuming that the carbon emission intensity of industry i is C i , then: C i =DC i / X i , where X i is the total output of industry sector i;

[0027] Step 3.4: Carbon emission coefficient of industrial sectors;

[0028] Step 3.5: Industrial sector carbon footprint model: According to the input-output table, let the intermediate use of each industrial sector be MU, the final use be FU, the export be EP, the import be IP, the others be O, and the total output be Y. They are all n×1 column vectors. Convert them all into diagonal matrices MU, FU, EP, IP, O, Y. Then the direct carbon footprint DDC and the total carbon footprint TFC of the terminal consumption of each industrial sector are: DDC n×n =C×FU,TFC n×n =T×FU, assuming that the intermediate input carbon footprint, export carbon footprint, and other carbon footprint of each industrial sector are MDC, EPC, and OC respectively, then: MDC n×n =C×MU,EPC n×n =T×EP,OC n×n=T×O. Assuming that the average carbon emission intensity of the country providing the imported products is the same as that of my country, the total carbon footprint of import trade IMC is: IMC n×n =T×IP. Accordingly, the carbon footprint of each industrial sector’s consumption of various energy sources can be calculated according to the above formula, which can be called the implicit carbon emissions of each industrial sector.

[0029] The industrial sector carbon emission coefficients in step 3.4 are specifically as follows: ① Direct carbon emission coefficient of industrial sector: The direct carbon emission coefficient of each industrial sector is expressed in an array, namely: ②Complete emission coefficient of industrial sector: Similar to the complete demand coefficient matrix of industrial sector, the complete carbon emission coefficient matrix T of industrial sector can be calculated, that is: T = C (IA) -1 Similarly, the total emission coefficient T of CO2 generated by various energy consumption in each industrial sector can be calculated separately. k .

[0030] Beneficial effects of the invention: The invention is a method for tracking the carbon footprint of adjustable resources in low-carbon power stations based on electrical dissection. During use, the invention adopts a carbon footprint analysis method based on electrical dissection, which can clarify the sources of carbon of various adjustable resources in the power station, realize carbon footprint tracking of various adjustable resources in the low-carbon power station, and respectively calculate the carbon footprint of various adjustable resources from source to terminal. The electrical dissection method is a method that can effectively solve the detailed electrical path of network source flow in the power network. The carbon footprint analysis method analyzes the entire process of carbon emissions from the perspective of the life cycle, and can deeply analyze carbon emissions. The essential process of carbon emission reduction can be further developed by formulating a scientific and reasonable carbon emission reduction plan from the source. There are a large number of adjustable resources in the substation. In practice, these resources should be effectively utilized to reduce the carbon emissions of the entire substation. The present invention electrically divides the power network into multiple substations, and calculates the carbon footprint of the electricity consumption and adjustable resources of each substation, thereby realizing the carbon footprint tracking of the adjustable resources in the low-carbon substation. This method can provide a scientific basis for low-carbon energy planning and carbon emission management. The present invention has the advantages of establishing a carbon footprint calculation model, clarifying the source of carbon, and realizing low-carbon operation of the substation. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 It is a schematic diagram of CO2 emissions over the years of the carbon footprint tracking method of the low-carbon area adjustable resources based on electrical dissection of the present invention.

[0032] Figure 2 It is a schematic diagram of CH4 emissions over the years of the carbon footprint tracking method of low-carbon area adjustable resources based on electrical dissection of the present invention.

[0033] Figure 3It is a schematic diagram of carbon emissions, carbon absorption and net carbon emissions over the years of the carbon footprint tracking method of adjustable resources in low-carbon areas based on electrical dissection of the present invention.

[0034] Figure 4 It is a schematic diagram of the carbon emission footprint of industrial sectors according to the carbon footprint tracking method of adjustable resources in low-carbon areas based on electrical dissection of the present invention. DETAILED DESCRIPTION

[0035] The present invention will be further described below in conjunction with the accompanying drawings.

[0036] Example 1

[0037] like Figure 1-4 As shown, a method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection, the method comprising the following steps:

[0038] Step 1: Divide the power network into multiple substations by electrically segmenting the power network;

[0039] Step 2: Use the input-output method and life cycle assessment method to calculate the carbon footprint of each area's electricity consumption and adjustable resources;

[0040] Step 3: Construct a carbon footprint calculation model based on the direct emission intensity of industrial sectors with energy consumption;

[0041] Step 4: This will enable carbon footprint tracking of controllable resources in low-carbon areas.

[0042] The carbon emission footprint analysis based on the input-output method in step 2 is specifically as follows: Taking 2002 as an example, the carbon emission footprint algorithm based on input-output is demonstrated step by step, specifically including the following steps:

[0043] Step 2.1: Based on the multi-sector value input-output table for 2002, calculate the complete demand matrix, also known as the Leontief inverse matrix (1-A) -1 :

[0044]

[0045] Step 2.2: Calculate the carbon emissions per unit value of output of each industrial sector, which is the carbon emission intensity. According to the carbon emission accounting results of previous years, the carbon emissions of each industrial sector in 2002 are obtained. Combined with the output level of each industrial sector, the carbon emission intensity vector c in 2002 is obtained: [0.54899 0.26155 0.34270 5.87323 0.02544 0.393550.04035];

[0046] Step 2.3: Diagonalize the carbon emission intensity vector and multiply it by the total demand matrix (1-A) on the left. -1, that is, the carbon emission complete demand matrix T is obtained, which can also become the carbon emission multiplier matrix:

[0047] Step 4: According to the algorithm of compound multiplier, the carbon emission matrix of domestic final consumption capital formation and export is expressed as FC, FA, and FE respectively, which is obtained by multiplying the diagonal matrix of final use of each department and its component matrix on the right side of the carbon emission complete demand matrix. The calculation results are as follows:

[0048] Step 5: Calculate the carbon emission demand of import trade (including goods from other sources). Since it is difficult to fully obtain the input-output table, carbon emission and productivity accounting data of the countries providing imported products, it is assumed here that the average production technology level, carbon emission complete demand coefficient and structure of the countries providing imported products are similar to those of China, and that import trade distinguishes between imports directly used for final demand and imports used for indirect demand, and directly uses the carbon emission matrix IM corresponding to foreign products d The calculation process is: The foreign product carbon emission matrices corresponding to each industrial sector are: The calculation process is the same as above, and the results are as follows: Then [r] is used as an adjustment factor, representing the proportion of foreign inputs in each industry sector that are directly used for final use: [r] = [0.97672 0.86076 0.86374 0.97140 0.96274 0.98040 0.96365], so the carbon emission matrix of indirect use of foreign products IM i The calculation process is: Finally, the carbon emission matrix of direct and indirect use of foreign products was obtained. d With IM d :

[0049] Step 6: According to the above calculation steps, the input-output analysis of China's carbon emissions in 1995, 1997, 2000 and 2002 can be carried out to obtain the details of my country's carbon emissions in these years.

[0050] It should be noted that the 1995 value-added input-output table does not list the value of imports and exports of each industrial sector separately. It only has net exports, so the carbon emission footprint of imports and exports cannot be decomposed and analyzed. In addition, the carbon emissions generated by direct consumption of fossil energy by residents and domestic waste and sewage cannot be embedded in the input-output table. Since they are emissions from direct consumption of life and part of final consumption, they are added to the final consumption item in the final result.

[0051] In this embodiment, carbon footprint influence and induction analysis: Combined with the above analysis of carbon emissions and carbon footprints of various departments, in order to further analyze the impact of production changes in various departments on other departments, carbon footprint influence and induction indicators are introduced to analyze the carbon correlation between departments. The influence coefficient reflects the degree of demand spread to various departments of the national economy when a certain department of the national economy increases the final use of units. The carbon footprint influence coefficient is introduced to measure the impact of a certain industry on other industries with carbon emissions. Let X be the footprint influence matrix, where the element is x ij ; represents the influence of department i on department j, INF j is the footprint impact coefficient of department j; is the carbon emission intensity, then: The induction coefficient reflects the degree of demand induction of a department when the final use of each unit of the national economy is increased. The carbon footprint induction coefficient is introduced to reflect the carbon emissions generated by a department to meet the production of other departments. Let Y be the footprint induction matrix, where the element is y ij , represents the induction of department j to department i; IND i is the footprint impact coefficient of sector i, is the carbon emission intensity, then: The results show that the electricity and heat industries have the greatest impact on carbon emissions, which is above 3.0 in each year. This reflects that this industry sector has the greatest driving force for the carbon emissions of the entire national economy, and also shows that the development of this industry sector is most dependent on carbon emissions. The footprint influence coefficients of other industrial sectors are all less than 1.0, indicating that compared with the electricity and heat industries, other industrial sectors have a relatively small driving effect on the carbon emissions of the entire national economy. The ranking of the footprint influence coefficients of other industrial sectors in each year is as follows: manufacturing and mining, agriculture, transportation, post and telecommunications, construction, commerce and others. There is no obvious change in the ranking of the footprint influence coefficients of various industrial sectors in each year. Only the agricultural influence coefficient exceeded the mining industry in the last two years, indicating that the agricultural sector's driving effect on the carbon emissions of the entire national economy has an increasing trend. The footprint influence coefficient of commerce and other service industries is the smallest, that is, the driving effect on carbon emissions is the smallest. This reflects that the adjustment and upgrading of the industrial structure can promote the reduction of greenhouse gas emissions to a large extent. Electricity and heat The induction coefficients of the industry and manufacturing sectors are the highest and both are greater than 1.0, indicating that the national economy and its related industries have the greatest driving force on the carbon emissions of these two sectors, especially the electricity and heat industries, that is, the national economy sectors are most sensitive to the carbon emissions generated by their demand. Compared with the electricity, heat and manufacturing industries, the footprint induction coefficients of other industrial sectors are less than 1.0, and the national economy has a relatively small pulling effect on the carbon emissions of these sectors. The average footprint influence coefficients of these sectors in each year are ranked from large to small as follows: agriculture, transportation, transportation, postal and telecommunications, mining, commerce, and other construction industries. The size of the footprint induction force is caused by two reasons: ① The degree of dependence of the development of the industrial sector on carbon emissions; ② The actual demand of the various sectors of national economic development for this sector; Therefore, the way to achieve carbon emission reduction can be achieved from the following two aspects: First, reduce the dependence of the industrial sector on carbon emissions; second, regulate the industrial structure so that low-carbon emission industries such as service industries can play a greater role in the national economy and become the leading industries of the national economy.

[0052] The present invention is a carbon footprint tracking method for adjustable resources in low-carbon power stations based on electrical dissection. During use, the present invention adopts a carbon footprint analysis method based on electrical dissection, which can clarify the source of carbon of various adjustable resources in the power station, realize carbon footprint tracking of various adjustable resources in the low-carbon power station, and respectively calculate the carbon footprint of various adjustable resources from source to terminal. The electrical dissection method is a method that can effectively solve the detailed electrical path of network source flow flowing in the power network. The carbon footprint analysis method analyzes the entire process of carbon emissions from the perspective of the life cycle, and can deeply analyze the nature of carbon emissions. Process, and then formulate a scientific and reasonable carbon emission reduction plan from the source. There are a large number of adjustable resources in the substation. In practice, these resources should be effectively utilized to reduce the carbon emissions of the entire substation. The present invention electrically divides the power network into multiple substations, and calculates the carbon footprint of the electricity consumption and adjustable resources of each substation, thereby realizing the carbon footprint tracking of the adjustable resources in the low-carbon substation. This method can provide a scientific basis for low-carbon energy planning and carbon emission management. The present invention has the advantages of establishing a carbon footprint calculation model, clarifying the source of carbon, and realizing low-carbon operation of the substation.

[0053] Example 2

[0054] like Figure 1-4 As shown, a method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection, the method comprising the following steps:

[0055] Step 1: Divide the power network into multiple substations by electrically segmenting the power network;

[0056] Step 2: Use the input-output method and life cycle assessment method to calculate the carbon footprint of each area's electricity consumption and adjustable resources;

[0057] Step 3: Construct a carbon footprint calculation model based on the direct emission intensity of industrial sectors with energy consumption;

[0058] Step 4: This will enable carbon footprint tracking of controllable resources in low-carbon areas.

[0059] The carbon footprint calculation using the life cycle assessment method in step 2 specifically includes the following steps:

[0060] Step a: Determination of functional units: After selecting the calculation object, determine the functional unit;

[0061] Step b: Determination of boundaries: that is, determining which unit processes are part of the system through a set of criteria;

[0062] Step c: Data collection: Collect activity data and emission factors at each stage of the life cycle. The data are divided into primary data and secondary data;

[0063] Step d: Carbon footprint calculation.

[0064] The carbon footprint calculation in step d is specifically as follows: greenhouse gas emissions can be expressed as carbon dioxide emissions equivalent CO 2eq Indicates that their relationship can be expressed as: Where GHG i is the mass of the ith greenhouse gas; GWP i is the global warming potential of the ith greenhouse gas; CO 2eq is the carbon dioxide emission equivalent; i is the type of greenhouse gas; the total carbon emission should be the sum of all carbon emissions in each stage of the product life cycle, namely, the raw material and energy acquisition stage, parts and product manufacturing stage, transportation stage, use stage and recycling stage. The calculation model is as follows: Where: G is the total carbon emissions of the product; M i is the physical quantity of the i-th type of material consumed in production activities; EF i1 is the emission factor of the i-th type of material; E i EF is the physical amount of the i-th type of energy consumed in production activities; i2 is the emission factor for energy production of type i; T i The weight of the product or material transported by the i-th type of transport; D i is the transport distance of the i-th type of transport; EF i3 is the emission factor of the i-th type of vehicle; E is the power consumption per unit of the product; Tw is the average operating time (working cycle) of the product; EF i4 E is the average electricity emission factor of the power grid in the area where the product is used; ri The physical amount of type i energy consumed in the recovery production activities; EF i5 M is the emission factor for the i-th energy production; ri The physical quantity of Category I material that can be recycled in the product.

[0065] In this example, CO2 emissions equivalent is the product of the emission factor and the activity level based on the factor: E i =A i ×EF i , where E i is the carbon dioxide emission of the ith activity; A i is the activity level of the ith activity (such as coal quantity); EF i is the emission factor of the ith activity, i.e., the amount of carbon dioxide emitted per unit of fuel. Different fuels have different units of emission factors. Total carbon dioxide emission equivalent: E = ∑ i A i ×EF i, CH4 and NOx emissions equivalent are the product of the emission factor, the activity level based on the factor and the warming potential: E ij =A ij ×EF ij ×GWP j , where E ij A is the volumetric emission of the jth greenhouse gas of the ith activity; ij is the activity level of the jth greenhouse gas in the ith activity (e.g., coal volume); EF ij is the emission factor of the jth greenhouse gas for the i-th activity, that is, the carbon dioxide emissions per unit of fuel. The units of emission factors for different fuels are different; GWP j is the warming potential of the jth greenhouse gas; the total equivalent of carbon dioxide emissions: E = ∑ i ∑ j A ij ×EF ij ×GWP j .

[0066] The direct emission intensity of industrial sectors based on energy consumption in step 3 is as follows: Energy consumption refers to the energy consumed by the construction industry and related industries in the production process, including coal, coke, crude oil, gasoline, kerosene, diesel, fuel oil, natural gas, and electricity, a total of 9 types. Let E ik is the amount of energy consumed by the i-th industrial sector, and the standard coal conversion coefficient of various energy sources is SC k 、The CO2 release coefficient of various energy sources is RC k , then the standard coal consumed by the i-production sector for the k-th energy source is SE ik , that is: SE ik =E ik ×SC k , then the amount of CO2 released by the consumption of the kth energy by the i-th industry sector is: DC ik =SE ik ×RC k , then the amount of CO2 directly released by industry sector i is DC i , that is, the direct carbon emissions are:

[0067] The construction of the carbon footprint calculation model in step 3 shown specifically includes the following steps:

[0068] Step 3.1: Direct consumption coefficient: Let the first quadrant of the direct consumption coefficient matrix of the input-output table be A = (a ij ) n×n ,(i,j=1,2,3,...,n), we have: a ij =X ij / X j ,(0≤a ij ≤1), where aij is the direct consumption coefficient of the products or services of the i industry sector by the j industry sector; X ij is the direct consumption of industry sector j on industry sector i; X j is the total output value of industry sector j;

[0069] Step 3.2: Total demand coefficient matrix: Based on the direct consumption coefficient, the total demand coefficient matrix of the industrial sector can be calculated. Where I is the unit matrix; The total demand for the products or services of industry sector i when providing one unit of final use for industry sector j;

[0070] Step 3.3: Carbon emission intensity and consumption coefficient of industrial sectors: Carbon emission intensity refers to the CO2 released per unit output value of each industrial sector of the national economy, and its unit is tCO 2-eq / 10,000 yuan, assuming that the carbon emission intensity of industry i is C i , then: C i =DC i / X i , where X i is the total output of industry sector i;

[0071] Step 3.4: Carbon emission coefficient of industrial sectors;

[0072] Step 3.5: Industrial sector carbon footprint model: According to the input-output table, let the intermediate use of each industrial sector be MU, the final use be FU, the export be EP, the import be IP, the others be O, and the total output be Y. They are all n×1 column vectors. Convert them all into diagonal matrices MU, FU, EP, IP, O, Y. Then the direct carbon footprint DDC and the total carbon footprint TFC of the terminal consumption of each industrial sector are: DDC n×n =C×FU,TFC n×n =T×FU, assuming that the intermediate input carbon footprint, export carbon footprint, and other carbon footprint of each industrial sector are MDC, EPC, and OC respectively, then: MDC n×n =C×MU,EPC n×n =T×EP,OC n×n =T×O. Assuming that the average carbon emission intensity of the country providing the imported products is the same as that of my country, the total carbon footprint of import trade IMC is: IMC n×n =T×IP. Accordingly, the carbon footprint of each industrial sector’s consumption of various energy sources can be calculated according to the above formula, which can be called the implicit carbon emissions of each industrial sector.

[0073] The carbon emission coefficients of the industrial sectors in step 3.4 are as follows: ① Direct carbon emission coefficient of the industrial sector: The direct carbon emission coefficient of each industrial sector is expressed in an array, that is: ②Complete emission coefficient of industrial sector: Similar to the complete demand coefficient matrix of industrial sector, the complete carbon emission coefficient matrix T of industrial sector can be calculated, that is: T = C (IA) -1 Similarly, the total emission coefficient T of CO2 generated by various energy consumption in each industrial sector can be calculated separately. k .

[0074] The present invention is a carbon footprint tracking method for adjustable resources in low-carbon power stations based on electrical dissection. During use, the present invention adopts a carbon footprint analysis method based on electrical dissection, which can clarify the source of carbon of various adjustable resources in the power station, realize carbon footprint tracking of various adjustable resources in the low-carbon power station, and respectively calculate the carbon footprint of various adjustable resources from source to terminal. The electrical dissection method is a method that can effectively solve the detailed electrical path of network source flow flowing in the power network. The carbon footprint analysis method analyzes the entire process of carbon emissions from the perspective of the life cycle, and can deeply analyze the nature of carbon emissions. Process, and then formulate a scientific and reasonable carbon emission reduction plan from the source. There are a large number of adjustable resources in the substation. In practice, these resources should be effectively utilized to reduce the carbon emissions of the entire substation. The present invention electrically divides the power network into multiple substations, and calculates the carbon footprint of the electricity consumption and adjustable resources of each substation, thereby realizing the carbon footprint tracking of the adjustable resources in the low-carbon substation. This method can provide a scientific basis for low-carbon energy planning and carbon emission management. The present invention has the advantages of establishing a carbon footprint calculation model, clarifying the source of carbon, and realizing low-carbon operation of the substation.

Claims

1. A method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection, characterized by: The method comprises the following steps: Step 1: Divide the power network into multiple substations by electrically segmenting the power network; Step 2: Use the input-output method and life cycle assessment method to calculate the carbon footprint of each area's electricity consumption and adjustable resources; Step 3: Construct a carbon footprint calculation model based on the direct emission intensity of industrial sectors with energy consumption; Step 4: This will enable carbon footprint tracking of controllable resources in low-carbon areas.

2. The method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection according to claim 1, characterized in that: The carbon emission footprint analysis based on the input-output method in step 2 specifically includes the following steps: Step 2.1: Based on the multi-sector value input-output table, calculate the complete demand matrix, also known as the Leontief inverse matrix (1-A) -1 ; Step 2.2: Calculate the carbon emissions per unit value of output of each industrial sector, which is the carbon emission intensity. According to the carbon emission accounting results of previous years, the carbon emissions of each industrial sector are obtained. Combined with the output level of each industrial sector, the carbon emission intensity vector c is obtained; Step 2.3: Diagonalize the carbon emission intensity vector and multiply it by the total demand matrix (1-A) on the left. -1 , that is, the complete carbon emission demand matrix T is obtained, which can also become the carbon emission multiplier matrix; Step 4: According to the algorithm of compound multiplier, the carbon emission matrices of domestic final consumption capital formation and export are expressed as FC, FA, and FE respectively, which are obtained by multiplying the carbon emission complete demand matrix by the diagonal matrix of the final use of each department and its component matrix; Step 5: Calculate the carbon emission demand of import trade, assuming that the average production technology level, carbon emission total demand coefficient and structure of the countries providing imported products are similar to those of China, and that import trade distinguishes between imports directly used for final demand and imports used for indirect demand, and calculate the carbon emission matrix IM corresponding to the direct use of foreign products d ; Step 6: According to the above accounting steps, the input-output analysis of carbon emissions in other years can be carried out to obtain the detailed carbon emissions of my country in these years.

3. The method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection as claimed in claim 2, characterized in that: The carbon footprint calculation using the life cycle assessment method in step 2 specifically includes the following steps: Step a: Determination of functional units: After selecting the calculation object, determine the functional unit; Step b: Determination of boundaries: that is, determining which unit processes are part of the system through a set of criteria; Step c: Data collection: Collect activity data and emission factors at each stage of the life cycle. The data are divided into primary data and secondary data; Step d: Carbon footprint calculation.

4. The method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection as claimed in claim 3, characterized in that: The carbon footprint calculation in step d is specifically as follows: greenhouse gas emissions can be expressed as carbon dioxide emissions equivalent CO 2eq Indicates that their relationship can be expressed as: Where GHG i is the mass of the ith greenhouse gas; GWP i is the global warming potential of the ith greenhouse gas; CO 2eq is the carbon dioxide emission equivalent; i is the type of greenhouse gas; the total carbon emission should be the sum of all carbon emissions in each stage of the product life cycle, namely, the raw material and energy acquisition stage, parts and product manufacturing stage, transportation stage, use stage and recycling stage. The calculation model is as follows: Where: G is the total carbon emissions of the product; M i is the physical quantity of the i-th type of material consumed in production activities; EF i1 is the emission factor of the i-th type of material; E i EF is the physical amount of the i-th type of energy consumed in production activities; i2 Produce emission factors for energy type i; T i The weight of the product or material transported by the i-th type of transport; D i is the transport distance of the i-th type of transport; EF i3 is the emission factor of the i-th type of transportation; E is the power consumption per unit of the product; Tw is the average operating time of the product; EF i4 The average electricity emission factor of the power grid in the area where the product is used; E ri The physical amount of type i energy consumed in the recovery production activities; EF i5 M is the emission factor for the i-th energy production; ri The physical quantity of Category I material that can be recycled in the product.

5. The method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection according to claim 1, characterized in that: The direct emission intensity of the industrial sector based on energy consumption in step 3 is specifically as follows: Energy consumption refers to the energy consumed by the construction industry and related industries in the production process, including coal, coke, crude oil, gasoline, kerosene, diesel, fuel oil, natural gas, and electricity, a total of 9 types. Let E ik is the amount of energy consumed by the i-th industrial sector, and the standard coal conversion coefficient of various energy sources is SC k 、The CO2 release coefficient of various energy sources is RC k , then the standard coal consumed by the i-production sector for the k-th energy source is SE ik , that is: SE ik =E ik ×SC k , then the amount of CO2 released by the consumption of the kth energy by the i-th industry sector is: DC ik =SE ik ×RC k , then the amount of CO2 directly released by industry sector i is DC i , that is, the direct carbon emissions are:

6. The method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection according to claim 5, characterized in that: The step 3 of constructing the carbon footprint calculation model specifically includes the following steps: Step 3.1: Direct consumption coefficient: Let the first quadrant of the direct consumption coefficient matrix of the input-output table be A = (a ij ) n×n ,(i,j=1,2,3,...,n), we have: a ij =X ij / X j ,(0≤a ij ≤1), where a ij is the direct consumption coefficient of the products or services of the i industry sector by the j industry sector; X ij is the direct consumption of industry sector j on industry sector i; X j is the total output value of industry sector j; Step 3.2: Total demand coefficient matrix: Based on the direct consumption coefficient, the total demand coefficient matrix of the industrial sector can be calculated. Where I is the unit matrix; The total demand for the products or services of industry sector i when providing one unit of final use for industry sector j; Step 3.3: Carbon emission intensity and consumption coefficient of industrial sectors: Carbon emission intensity refers to the CO2 released per unit output value of each industrial sector of the national economy, and its unit is tCO 2-eq / 10,000 yuan, assuming that the carbon emission intensity of industry i is C i , then: C i =DC i / X i , where X i is the total output of industry sector i; Step 3.4: Carbon emission coefficient of industrial sectors; Step 3.5: Industrial sector carbon footprint model: According to the input-output table, let the intermediate use of each industrial sector be MU, the final use be FU, the export be EP, the import be IP, the others be O, and the total output be Y. They are all n×1 column vectors. Convert them all into diagonal matrices MU, FU, EP, IP, O, Y. Then the direct carbon footprint DDC and the total carbon footprint TFC of the terminal consumption of each industrial sector are: DDC n×n =C×FU,TFC n×n =T×FU, assuming that the intermediate input carbon footprint, export carbon footprint, and other carbon footprint of each industrial sector are MDC, EPC, and OC respectively, then: MDC n×n =C×MU,EPC n×n =T×EP,OC n×n =T×O. Assuming that the average carbon emission intensity of the country providing the imported products is the same as that of my country, the total carbon footprint of import trade IMC is: IMC n×n =T×IP. Accordingly, the carbon footprint of each industrial sector’s consumption of various energy sources can be calculated according to the above formula, which can be called the implicit carbon emissions of each industrial sector.

7. The method for tracking carbon footprint of adjustable resources in low-carbon areas based on electrical dissection according to claim 6, characterized in that: The industrial sector carbon emission coefficients in step 3.4 are specifically as follows: ① Direct carbon emission coefficient of industrial sector: The direct carbon emission coefficient of each industrial sector is expressed in an array, namely: ②Complete emission coefficient of industrial sector: Similar to the complete demand coefficient matrix of industrial sector, the complete carbon emission coefficient matrix T of industrial sector can be calculated, that is: T = C (IA) -1 Similarly, the total emission coefficient T of CO2 generated by various energy consumption in each industrial sector can be calculated separately. k .

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