Carbon emission evaluation system for electric power material quality detection

Abstract

The invention relates to the technical field of carbon emission evaluation systems, and particularly discloses a carbon emission evaluation system for electric power material quality detection, and the system specifically comprises the following parts: a modeling module which is used for building a carbon emission evaluation model; the data calculation module is used for calculating carbon emission generated in the power grid typical material production process flow to obtain carbon emission data, and evaluating the carbon emission data through a carbon emission evaluation model to obtain an evaluation result; and the control output module is used for generating an energy conservation and emission reduction suggestion scheme by using the evaluation result output by the carbon emission evaluation model. According to the invention, by establishing the carbon emission evaluation model, the subsequent evaluation of the carbon emission data generated by the power grid typical material production process flow is facilitated, and the carbon emission data generated by the power grid typical material production process flow can be calculated through the data calculation module. And finally, energy conservation and emission reduction suggestions can be generated according to the carbon emission data generated in different stages, so that the method is more targeted.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission evaluation systems, and in particular to a carbon emission evaluation system for detecting the quality of electric power materials. Background Art

[0002] With the steady progress of the construction of the green, modern, digital and intelligent supply chain of the State Grid, various businesses have accelerated their transformation, and the results of green chain construction have continued to make breakthroughs. However, as a key link in the supply chain, the construction of a material quality evaluation system from a low-carbon perspective has not yet been clearly defined:

[0003] Among them, in the existing technology, the carbon emissions of power grid materials vary due to different production processes, and thus there is a lack of a targeted and quantifiable carbon evaluation system. Summary of the invention

[0004] In view of the technical problem in the prior art that power grid materials have different carbon emissions due to different production processes, thereby lacking a targeted and quantifiable carbon evaluation system, the present invention provides a carbon emission evaluation system for power material quality detection.

[0005] The technical solution adopted by the present invention is:

[0006] A carbon emission evaluation system for power material quality detection, comprising:

[0007] Modeling module, used to establish carbon emission assessment model;

[0008] The data calculation module is used to calculate the carbon emissions generated by the production process of typical materials in the power grid, obtain carbon emission data, and evaluate the carbon emission data through the carbon emission evaluation model to obtain the evaluation results;

[0009] The control output module is used to generate energy-saving and emission reduction proposals using the evaluation results output by the carbon emission evaluation model.

[0010] Furthermore, the modeling module establishes a carbon emission evaluation model, which specifically includes the following steps:

[0011] Collect all materials and activities covered by the typical material production process of the power grid, then calculate the carbon emission data of the stages in the material production process based on the mass balance equation, and use the carbon emission data of the stages in the material production process to establish a carbon emission evaluation model for typical materials.

[0012] Furthermore, the data calculation module calculates the carbon emissions generated by the typical material production process of the power grid, including:

[0013] Based on the quality evaluation methods of typical materials in the power grid, the carbon footprint of each detection process itself is analyzed. Starting from the material and energy loss in the detection process itself, the carbon emissions of typical materials in the power grid are calculated to obtain carbon emission data.

[0014] Furthermore, the typical materials of the power grid are distribution transformers and cables;

[0015] The calculation formula for carbon emissions generated by the typical material production process of the power grid is as follows:

[0016]

[0017] Where C1 is the carbon emission at each stage of the production process; E1 is the total energy of the production process; E i is the emission factor of the i-th energy type.

[0018] Furthermore, the carbon emission evaluation model includes a carbon pricing model for the distribution transformer production process and a carbon evaluation model for the cable production process, and the carbon pricing model for the distribution transformer production process and the carbon evaluation model for the cable production process are established in the same way.

[0019] Furthermore, the method for establishing the carbon assessment model in the production process of distribution transformers is as follows:

[0020] Retrieve all qualified carbon emission data from the historical production process of distribution transformers;

[0021] All qualified carbon emission data include carbon emissions from raw material acquisition and initial processing C i , Carbon emissions from raw material transportation P n , the carbon emissions generated by the electricity consumed in the production process of distribution transformers C E And the carbon emissions C generated by heat energy consumption in the production process of distribution transformers Q ;

[0022] Calculate the raw material weight m n , the carbon emission coefficient of raw material production is k n , the carbon emissions from raw material acquisition and initial processing are: C i =m n ×k n ; Where n is used to represent the different types of raw materials used in the production process of distribution transformers;

[0023] For different types of raw materials n, set the transportation distance to d n , the carbon emission coefficient per unit distance corresponding to the transportation mode is k n , the weight of the raw material is M n , then the carbon emission of raw material transportation is Pn The calculation is as follows:

[0024]

[0025] The electricity consumed in the production process of distribution transformers is calculated as E, and the carbon emission coefficient of electricity is k E , the carbon emissions generated by the electricity consumed are C E =E×k E ;

[0026] Calculate the energy Q consumed by heat energy in the production process of distribution transformers, and the carbon emission coefficient of heat energy is k Q , then the carbon emissions generated by heat energy consumption are C Q =Q×k Q ;

[0027] Generate a carbon emission assessment model:

[0028] G=C i +P n +C E +C Q .

[0029] Furthermore, the modeling module is also used to establish a quality supervision carbon emission model, and the quality supervision carbon emission model is used to calculate the carbon emission data of each detection stage of the transformer and the cable.

[0030] Furthermore, the calculation formula of the quality supervision carbon emission model is as follows:

[0031]

[0032] In the formula, C d To monitor the carbon emission model for quality, NF b-i is the consumption of the i-th raw material, EF b-i represents the emission factor of the i-th raw material, M b-i It may represent the usage of the i-th raw material, D b-i Indicates the transport distance, T b-i Represents the emission factor of the means of transport.

[0033] Furthermore, the data calculation module calculates the carbon emissions generated by the production process of typical materials in the power grid, specifically including the calculation of the index carbon emission intensity, marginal electricity carbon emission intensity, carbon emissions, carbon emission management costs and power consumption per unit output value of typical materials in the power grid, as follows:

[0034] The carbon emission intensity is calculated as follows:

[0035] Carbon emission intensity e_cIndicates the CO2 generated by the unit electricity of typical materials produced in the power grid, and its unit is: kgCO2 / kWh;

[0036] If the typical material of the power grid is a single node and is located at the nth node, then the carbon emission intensity of the cth typical material of the power grid is equal to the carbon potential of the node; the carbon emission intensity e e_c The calculation formula is as follows:

[0037]

[0038] Where: e n is the node carbon potential matrix E N Elements in, unit: kgCO2 / ;

[0039] If the cth typical power grid material is a plurality of nodes in the distribution network structure, including 1, 2, ..., m nodes, and the power of each node at the current moment is P1, P2, ..., P m , then the carbon emission intensity of typical materials in this type of power grid needs to be calculated comprehensively based on the carbon potential and power of each node as follows:

[0040]

[0041] The marginal electricity carbon emission intensity is calculated as follows:

[0042] Marginal electricity carbon emission intensity Δe e-c Indicates the carbon emission intensity value of electricity produced by changing the marginal power consumption of typical materials in the power grid:

[0043]

[0044] Where: P is the initial power of the typical material production of the power grid; P′ and e′ e_c The carbon potential (e′) of the corresponding node is obtained after the power of typical materials produced in the power grid changes (P′) when the input information of other nodes remains unchanged. e_c ).

[0045] Carbon emissions are calculated as follows:

[0046] Carbon emissions M c It indicates the total amount of carbon dioxide consumed by electricity consumption during the production cycle T;

[0047]

[0048] Where: t represents time;

[0049] The cost of carbon emission control is calculated as follows:

[0050]

[0051] Where: Xxc is the user's carbon emission control cost, unit: yuan / kgCO2; C wc The total cost of carbon emission control in the typical material production process of the power grid during the calculation period, in yuan; E wc The amount of greenhouse gas reduced after treatment, unit: kgCO2;

[0052] The power consumption per unit output value of typical materials produced by the power grid is calculated as follows:

[0053]

[0054] Where: X dc E is the power consumption per unit output value of typical materials produced by the power grid, in yuan / kWh; d c is the electric energy consumed by the typical materials production of the power grid during the statistical period, kWh; C c is the typical physical asset value of the power grid, in Yuan.

[0055] Furthermore, the node carbon potential matrix E N The calculation formula is as follows:

[0056]

[0057] Where: P N is the node active flux matrix, P N =(P Nij ) N×N , where N is the number of nodes, i and j are the number of rows and columns respectively; P B is the branch power flow distribution matrix, P B =(P Bij ) N×N , is used to describe the active power flow distribution of the power system of a typical material production unit of the power grid. The elements of this matrix represent the active power flow between nodes; P G The distribution matrix of the generator sets of typical material production units in the power grid is injected, P G =(P Gkj ) K×N , K is the number of generator sets of typical material production units in the power grid, E G is the carbon emission intensity vector of the unit, E G =[e G1 , e G2 , ..., e GK ] T , the elements in this vector represent the different carbon emission intensities of each generator set.

[0058] The beneficial effects of the present invention are:

[0059] 1. In the present invention, by establishing a carbon emission evaluation model, it is convenient to evaluate the carbon emission data generated by the typical material production process of the power grid. In addition, the carbon emission data generated by the typical material production process of the power grid can be calculated through the data calculation module. Finally, according to the carbon emission data generated at different stages, energy-saving and emission reduction proposals can be generated, which is more targeted.

[0060] 2. In the present invention, by accurately calculating carbon emissions and governance costs, carbon footprint can be managed and reduced more effectively. The above calculation method helps power grid operators and companies with typical power grid materials to understand the specific sources and governance costs of their carbon emissions, thereby formulating more reasonable emission reduction strategies and investment decisions. BRIEF DESCRIPTION OF THE DRAWINGS

[0061] Figure 1 The present invention is a structural schematic diagram of a carbon emission evaluation system for detecting the quality of electric power materials according to an embodiment of the present invention. DETAILED DESCRIPTION

[0062] The following will be combined with the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0063] See also Figure 1 The embodiment of the present invention provides a carbon emission evaluation system for power material quality detection, including:

[0064] Modeling module, used to establish carbon emission assessment model;

[0065] The data calculation module is used to calculate the carbon emissions generated by the production process of typical materials in the power grid, obtain carbon emission data, and evaluate the carbon emission data through the carbon emission evaluation model;

[0066] The control output module is used to use the output results of the carbon emission evaluation model to generate energy-saving and emission reduction proposals. For example, based on the output results, it is recommended that enterprises save electricity and reasonably plan electricity usage time.

[0067] Among them, the typical materials of the power grid are distribution transformers and cables.

[0068] The following are some examples of recommended solutions:

[0069] Taking cables as an example, the results of sensitivity coefficient analysis show that there is a large room for optimization of raw material copper and flame-retardant polyvinyl chloride sheath materials; in processes such as wire drawing, insulation extrusion, twisting, inner and outer sheaths, low-energy consumption and high-efficiency equipment can be selected as much as possible, and the use of clean energy (such as hydropower, wind power, and solar power generation) is recommended.

[0070] The above technical solution is explained as follows: by establishing a carbon emission evaluation model, it is convenient to evaluate the carbon emission data generated by the typical material production process of the power grid in the future. In addition, the carbon emission data generated by the typical material production process of the power grid can be calculated through the data calculation module. Finally, energy-saving and emission reduction recommendations can be generated based on the carbon emission data generated at different stages.

[0071] In the further design, the data calculation module calculates the carbon emissions generated by the typical material production process of the power grid as follows:

[0072] Based on the quality evaluation methods of typical materials in the power grid, the carbon footprint of each detection process itself is analyzed, and its carbon emissions are calculated based on the material and energy losses of the detection itself to obtain carbon emission data.

[0073] Among them, the calculation formula for carbon emissions data generated by the typical material production process of the power grid is as follows:

[0074]

[0075] Where C1 is the carbon emission at each stage of the production process; E1 is the total energy of the production process; E i is the emission factor of the i-th energy type.

[0076] Through the above technical solution, the specific data of carbon emissions can be calculated.

[0077] The method for establishing a carbon emission evaluation model in this embodiment specifically includes the following steps:

[0078] Specifically, we mainly collect all materials and activities covered by the typical material production process of the power grid, and then calculate the carbon emissions of the stages in the material production process based on the mass balance equation, and establish a carbon emission evaluation model for the carbon evaluation of typical materials.

[0079] Among them, the carbon emission evaluation model includes a carbon pricing model for the distribution transformer production process and a carbon evaluation model for the cable production process. The establishment methods of the carbon pricing model for the distribution transformer production process and the carbon evaluation model for the cable production process are the same.

[0080] In the further design, the carbon assessment model in the production process of distribution transformers is established as follows:

[0081] Step 1: retrieve all qualified carbon emission data in the historical distribution transformer production process;

[0082] Step 2: All qualified carbon emission data include carbon emission of raw materials, carbon emission of raw material transportation, carbon emission of electricity consumed in the production process of distribution transformers, and carbon emission of energy consumed by heat in the production process of distribution transformers;

[0083] Step 3: Calculate the raw material weight m n , the carbon emission coefficient of raw material production is k n , the carbon emissions from raw material acquisition and initial processing are: C i =m n ×k n ; Where n is used to represent the different types of raw materials used in the production process of distribution transformers;

[0084] Step 4: For different types of raw materials n, set the transportation distance to d n , the carbon emission coefficient per unit distance corresponding to the transportation mode is k n , the weight of the raw material is M n , then the carbon emissions from raw material transportation are calculated as follows:

[0085]

[0086] Step 5: Calculate the electricity consumed in the production process of the distribution transformer as E and the carbon emission coefficient of electricity as k E , the carbon emissions generated by electricity consumption C E =E×kE;

[0087] Step 6: Calculate the energy Q consumed by heat energy in the production process of distribution transformers. The carbon emission coefficient of heat energy is k. Q , then the carbon emissions generated by heat energy consumption are C Q =Q×k Q ;

[0088] Step 7: Generate carbon emission evaluation model:

[0089] G=C i +P n +C E +C Q

[0090] The above technical solution is explained as follows: through a large amount of historical data, the carbon emission data in the typical material production process of the power grid is calculated, and then a carbon emission evaluation model is established based on the data for subsequent carbon emission evaluation, which can be used as a reference standard. For subsequent use, only the corresponding values ​​need to be input into the model. Through the model comparison results, if the carbon emissions are large in a certain production link, suggestions for energy conservation and emission reduction can be output.

[0091] In addition, this embodiment also includes

[0092] A quality supervision carbon emission model is established to calculate the carbon emission data at each inspection stage of transformers and cables.

[0093] The calculation formula of the quality supervision carbon emission model is as follows:

[0094]

[0095] In the formula, C d To monitor the carbon emission model for quality, NF b-i is the consumption of the i-th raw material, EF b-i represents the emission factor of the i-th raw material, M b-i It may represent the usage of the i-th raw material, D b-i Indicates the transport distance, T b-i represents the emission factor of the means of transport;

[0096] Here is an example:

[0097] Consumption of the first raw material NF b-1 =100;

[0098] Emission factor EF for the first raw material b-1 =0.2 tons of CO2 / unit.

[0099] Consumption of the second raw material NF b-2 =150;

[0100] Emission factor EF for the second raw material b-2 = 0.15 tons CO2 / unit

[0101] Amount of the first raw material used M b-1 =80;

[0102] The transportation distance D of the first raw material b-1 =500 km;

[0103] Emission factor T for transport of the first raw material b-1 =0.05 tons CO2 / km.

[0104] Amount of the second raw material used Mb-2 =120;

[0105] The transportation distance D of the second raw material b-2 =300;

[0106] Emission factor T for transport of the second raw material b-2 = 0.03 tons CO2 / km;

[0107] Use the formula:

[0108]

[0109] Substituting the values:

[0110] Carbon emissions of the first raw material: NF b-1 ×EF b-1 =100×0.2=20 tons CO2M b-1 ×D b-1 ×T b-1 =80×500×0.05=2000 tons of CO2;

[0111] Carbon emissions of the second raw material: NF b-2 ×EF b-2 =150×0.15=22.5 tons CO2M b-2 ×D b-2 ×T b-2 =120×300×0.03=1080 tons of CO2;

[0112] Total carbon emissions: C d =20+2000+22.5+1080=3122.5 tons of CO2;

[0113] Among them, in-depth research was carried out on the carbon emission sources of transformers and cables in the quality inspection stage. Through carbon emission analysis in the quality inspection link, the main carbon emission sources in the inspection operation were clarified, and the carbon emission levels of different inspection methods and processes were evaluated, so as to propose a reasonable emission reduction plan for the quality supervision link. Subsequently, the carbon emission results of each stage of transformer and cable quality supervision were obtained by calculation, and the sensitivity analysis method based on carbon emissions was used. Finally, the key factors of the more significant stages of the quality supervision carbon emission process were further extracted, and the carbon sensitive factor analysis of carbon emissions in each stage of quality supervision was carried out to obtain an optimizable plan.

[0114] Experimental example:

[0115] The green evaluation basis is formulated with reference to the typical value of carbon footprint in the material production cycle, and a method for obtaining the typical value of carbon footprint based on uncertainty data is proposed. A method for quality assessment of survey data with large uncertainty is designed. Based on the screening of survey report data, a carbon footprint calculation model for 10KV distribution transformer is established, and the typical value of carbon footprint is calculated for the material.

[0116] Using the established carbon emission model, carbon emission calculations were completed for the main products of several cable manufacturers and five distribution transformer manufacturers surveyed.

[0117] For example, in one of the calculations, the transformer-related carbon emission accounting data is as follows.

[0118] Table 1 is the calculation table of carbon emissions of transformer raw materials

[0119]

[0120]

[0121] Table 2 is the carbon emission accounting table for the transportation of transformer raw materials

[0122]

[0123] Table 3 is the carbon emission accounting table for the transformer production stage

[0124]

[0125] To sum up, in the present invention, a carbon emission evaluation model is established through a large amount of historical data, which is convenient for the subsequent evaluation of the carbon emission data generated by the typical material production process of the power grid. In addition, the carbon emission data generated by the typical material production process of the power grid can be calculated through the data calculation module. Finally, energy-saving and emission reduction proposals can be generated according to the carbon emission data generated at different stages, which is more targeted. The carbon emission evaluation model can be used as a reference standard. For subsequent use, it only needs to input the corresponding numerical values ​​into the model and compare the results through the model.

[0126] In a further design, the calculation module calculates the carbon emissions generated by the production process of typical materials in the power grid, specifically including: the calculation of the index carbon emission intensity, marginal electricity carbon emission intensity, carbon emissions, carbon emission management costs and the power consumption per unit output value of typical materials production in the power grid, as follows:

[0127] The carbon emission intensity is calculated as follows:

[0128] Carbon emission intensity e_c Indicates the CO2 generated by the unit electricity of typical materials produced in the power grid, and its unit is: kgCO2 / kWh;

[0129] If the typical material of the power grid is a single node and is located at the nth node, then the carbon emission intensity of the cth typical material of the power grid is equal to the carbon potential of the node;

[0130] The calculation formula is as follows:

[0131]

[0132] Where: e n is the node carbon potential matrix E N Elements in, unit: kgCO2 / ;

[0133] If the cth typical power grid material is a plurality of nodes in the distribution network structure, including 1, 2, ..., m nodes, and the power of each node at the current moment is P1, P2, ..., P m , then the carbon emission intensity of typical materials in this type of power grid needs to be calculated comprehensively based on the carbon potential and power of each node as follows:

[0134]

[0135] The above technical solution is explained as follows: The above calculation method helps to accurately evaluate the carbon emissions of typical materials in the power grid during the entire power production and distribution process. By considering the carbon potential and power of different nodes, the impact of operation on the environment can be quantified more accurately, thus providing a scientific basis for formulating emission reduction strategies and optimizing operations.

[0136] The calculation example is as follows: Assume a typical power grid material (transformer), which involves three nodes in the distribution network structure, namely node 1, node 2 and node 3; the current power of these three nodes is P1 = 100kW, P2 = 200kW, and P3 = 150kW; at the same time, the carbon potential of these three nodes is e1 = 0.5kgCO2 / kWh, e2 = 0.6kgCO2 / kWh, and e3 = 0.7kgCO2 / kWh o According to the formula in the picture, calculate the carbon emission intensity of the typical materials in the power grid e ec as follows:

[0137]

[0138]

[0139] Calculate the carbon emission intensity of electricity e c:

[0140]

[0141] Therefore, the electricity carbon emission intensity of typical materials in this power grid is about 0.6111kgCO2 / kWh.

[0142] In the further design, the marginal electricity carbon emission intensity is calculated as follows:

[0143] Marginal electricity carbon emission intensity Δe e-c Indicates the carbon emission intensity value of electricity produced by changing the marginal power consumption of typical materials in the power grid:

[0144]

[0145] Where: P is the initial power of the typical material production of the power grid; P' and e' e_c Indicates that the input information of other nodes remains unchanged, and the corresponding node carbon potential (e') is obtained after the power of typical materials produced in the power grid changes (P') e_c ).

[0146] The above technical solution is explained as follows: The calculation of marginal electricity carbon emission intensity is of great significance for understanding and optimizing carbon emissions. By calculating the marginal electricity carbon emission intensity, it is possible to identify which links in the production and distribution process have the greatest impact on total emissions, which helps to formulate more effective emission reduction strategies, such as by adjusting the production structure, optimizing the operation of the power grid, or introducing cleaner energy. In addition, this calculation method can also help companies make more environmentally friendly decisions in the production process, such as finding the best balance between electricity costs and carbon emissions.

[0147] In further design, the carbon emissions are calculated as follows:

[0148] Carbon emissions M c It indicates the total amount of carbon dioxide consumed by electricity consumption during the production cycle T;

[0149]

[0150] Where: t represents time;

[0151] The cost of carbon emission control is calculated as follows:

[0152]

[0153] Where: X xc is the user's carbon emission control cost, unit: yuan / kgCO2; C wc The total cost of carbon emission control in the typical material production process of the power grid during the calculation period, in yuan; E wc The amount of greenhouse gas reduced after treatment, unit: kgCO2;

[0154] The above technical solution is explained as follows:

[0155] By accurately calculating carbon emissions and governance costs, carbon footprint can be managed and reduced more effectively. The above calculation method helps grid operators and companies that typically use grid materials understand the specific sources of their carbon emissions and governance costs, so as to formulate more reasonable emission reduction strategies and investment decisions. For example, by analyzing the carbon emission intensity and power in different time periods, energy use can be optimized, electricity consumption during peak hours can be reduced, or investment can be made in cleaner energy technologies.

[0156] The calculation example is as follows:

[0157] Assume a typical power grid material (cable) production cycle T, the carbon emission intensity e at different time points t in the cycle ec (t) and power P(t) are as follows: When t = 1, e e c(1)=0.8kgCO2 / kWh,P(1)=500kW;t=2,e e c(2)=0.7kerCO2 / kWh, P(2)=600kW, production cycle T=2.

[0158] Carbon emissions calculation:

[0159] M c =e ec (1)P(1)+e ec (2)P(2)

[0160] M c =0.8×500+0.7×600

[0161] M c =400+420=820kgCO2

[0162] Calculation of carbon emission control costs:

[0163] Assume that the total cost of carbon emission control during the calculation period is C wc = 5000 yuan, the amount of greenhouse gas reduced after treatment E wc =800kgCO2.

[0164] According to the formula We can calculate the user's carbon emission management cost:

[0165]

[0166] In this example, typical materials in the power grid generate a total of 820kgCO2 carbon emissions during the production cycle, and the cost of managing these carbon emissions is 6.25 yuan / kgCO2. This example shows how to calculate carbon emissions and management costs based on actual production data and management costs, which can help companies better understand and manage carbon emissions.

[0167] In the further design, the power consumption per unit output value of typical materials produced by the power grid is calculated as follows:

[0168]

[0169] Where: X dc E is the power consumption per unit output value of typical materials produced by the power grid, in yuan / kWh; d c is the electric energy consumed by the typical materials production of the power grid during the statistical period, kWh; C c is the typical physical asset value of the power grid, in Yuan.

[0170] The above technical solution is explained as follows: By calculating the electricity consumption per unit of output value of typical materials produced by the power grid, the utilization efficiency of electricity resources in the production process can be evaluated. This evaluation is of great significance for optimizing energy use, reducing production costs and improving economic benefits. Enterprises can adjust their production strategies based on this indicator, such as by adopting more efficient production technologies or equipment to reduce unnecessary energy waste and thus reduce electricity consumption costs.

[0171] In the further design, the node carbon potential matrix E N The calculation formula is as follows:

[0172]

[0173] Where: P N is the node active flux matrix, P N =(P Nij ) N×N , where N is the number of nodes, i and j are the number of rows and columns respectively; P B is the branch power flow distribution matrix, P B =(P Bij ) N×N , is used to describe the active power flow distribution of the power system of a typical material production unit of the power grid. The elements of this matrix represent the active power flow between nodes; P G The distribution matrix of the generator sets of typical material production units in the power grid is injected, P G =(P Gkj ) K×N , K is the number of generator sets of typical material production units in the power grid, E G is the carbon emission intensity vector of the unit, E G =[e G1 , e G2 , ..., e GK ] T , the elements in this vector represent the different carbon emission intensities of each generator set.

[0174] The above technical solution is explained as follows: By calculating the node carbon potential matrix, the carbon emissions of each node can be evaluated and analyzed more accurately.

[0175] The present invention calculates the carbon emissions based on the material and capacity loss of the detection itself, and based on the integrated application of cutting-edge digital technologies such as artificial intelligence, data mining, big data, and digital twins, comprehensively optimizes the operational strategies of various material quality supervision tasks, such as reducing the number and frequency of random inspections through optimization based on pre-screening, and reducing the comprehensive distance of random inspections and distribution through path optimization, so as to comprehensively reduce the carbon emissions of the quality supervision work itself.

[0176] Although the embodiments of the present invention have been shown and described, it will be apparent to those skilled in the art that the scope of the present invention is limited by the appended claims and the like. In the present invention, the carbon footprint of each detection process itself is analyzed for quality evaluation methods of typical materials.

Claims

1. A carbon emission evaluation system for power material quality detection, characterized in that: Specifically include the following: Modeling module, used to establish carbon emission assessment model; The data calculation module is used to calculate the carbon emissions generated by the production process of typical materials in the power grid, obtain carbon emission data, and evaluate the carbon emission data through the carbon emission evaluation model to obtain the evaluation results; The control output module is used to generate energy-saving and emission reduction proposals using the evaluation results output by the carbon emission evaluation model.

2. A carbon emission evaluation system for power material quality detection according to claim 1, characterized in that: The modeling module establishes a carbon emission evaluation model, which specifically includes the following steps: Collect all materials and activities covered by the typical material production process of the power grid, then calculate the carbon emission data of the stages in the material production process based on the mass balance equation, and use the carbon emission data of the stages in the material production process to establish a carbon emission evaluation model for typical materials.

3. A carbon emission evaluation system for power material quality detection according to claim 2, characterized in that: The data calculation module calculates the carbon emissions generated by the typical material production process of the power grid, including: Based on the quality evaluation methods of typical materials in the power grid, the carbon footprint of each detection process itself is analyzed. Starting from the material and energy loss in the detection process itself, the carbon emissions of typical materials in the power grid are calculated to obtain carbon emission data.

4. A carbon emission evaluation system for power material quality detection according to claim 3, characterized in that: The typical materials of the power grid are distribution transformers and cables; The calculation formula for carbon emissions generated by the typical material production process of the power grid is as follows: In the formula, C1 is the carbon emission at each stage of the production process; E1 is the total energy of the production process; E i is the emission factor of the i-th energy type.

5. A carbon emission evaluation system for power material quality detection according to claim 4, characterized in that: The carbon emission evaluation model includes a carbon pricing model for the distribution transformer production process and a carbon evaluation model for the cable production process. The carbon pricing model for the distribution transformer production process and the carbon evaluation model for the cable production process are established in the same way.

6. A carbon emission evaluation system for power material quality detection according to claim 5, characterized in that: The method for establishing the carbon assessment model in the production process of distribution transformers is as follows: Retrieve all qualified carbon emission data from the historical production process of distribution transformers; All qualified carbon emission data include carbon emissions from raw material acquisition and initial processing C i , Carbon emissions from raw material transportation P n , the carbon emissions generated by the electricity consumed in the production process of distribution transformers C E And the carbon emissions C generated by heat energy consumption in the production process of distribution transformers Q ; Calculate the raw material weight m n , the carbon emission coefficient of raw material production is k n , the carbon emissions from raw material acquisition and initial processing are: C i =m n ×k n ; Where n is used to represent the different types of raw materials used in the production process of distribution transformers; For different types of raw materials n, set the transportation distance to d n , the carbon emission coefficient per unit distance corresponding to the transportation mode is k n , the weight of the raw material is M n , then the carbon emission of raw material transportation is P n The calculation is as follows: The electricity consumed in the production process of distribution transformers is calculated as E, and the carbon emission coefficient of electricity is k E , the carbon emissions generated by the electricity consumed are C E =E×k E ; Calculate the energy Q consumed by heat energy in the production process of distribution transformers, and the carbon emission coefficient of heat energy is k Q , then the carbon emissions generated by heat energy consumption are C Q =Q×k Q ; Generate a carbon emission assessment model: G=C i +P n +C E +C Q 。 7. A carbon emission evaluation system for power material quality detection according to claim 6, characterized in that: The modeling module is also used to establish a quality supervision carbon emission model, which is used to calculate the carbon emission data of transformers and cables at various detection stages.

8. A carbon emission evaluation system for power material quality detection according to claim 7, characterized in that: The calculation formula of the quality supervision carbon emission model is as follows: In the formula, C d To monitor the carbon emission model for quality, NF b-i is the consumption of the i-th raw material, EF b-i represents the emission factor of the i-th raw material, M b-i It may represent the usage of the i-th raw material, D b-i Indicates the transport distance, T b-i Represents the emission factor of the means of transport.

9. A carbon emission evaluation system for power material quality detection according to claim 8, characterized in that: The data calculation module calculates the carbon emissions generated by the production process of typical materials in the power grid, including the calculation of the index carbon emission intensity, marginal electricity carbon emission intensity, carbon emissions, carbon emission management costs and power consumption per unit output value of typical materials in the power grid, as follows: The carbon emission intensity is calculated as follows: Carbon emission intensity e_c Indicates the CO2 generated per unit of electricity produced by typical materials in the power grid, and its unit is: kgCO2 / kW h ; If the typical material of the power grid is a single node and is located at the nth node, then the carbon emission intensity of the cth typical material of the power grid is equal to the carbon potential of the node; the carbon emission intensity e e_c The calculation formula is as follows: Where: e n is the node carbon potential matrix E N Elements in, unit: kgCO2 / ; If the cth typical power grid material is a plurality of nodes in the distribution network structure, including 1, 2,...,m nodes, and the power of each node at the current moment is P1, P2,...,P m , then the carbon emission intensity of typical materials in this type of power grid needs to be calculated comprehensively based on the carbon potential and power of each node as follows: The marginal electricity carbon emission intensity is calculated as follows: Marginal electricity carbon emission intensity Δe e-c Indicates the carbon emission intensity value of electricity produced by changing the marginal power consumption of typical materials in the power grid: Where: P is the initial power of the typical material production of the power grid; P' and e' e_c Indicates that the input information of other nodes remains unchanged, and the corresponding node carbon potential (e') is obtained after the power of typical materials produced in the power grid changes (P') e_c ); Carbon emissions are calculated as follows: Carbon emissions M c It indicates the total amount of carbon dioxide consumed by electricity consumption during the production cycle T; Where: t represents time; The cost of carbon emission control is calculated as follows: Where: X xc is the user's carbon emission control cost, unit: yuan / kgCO2; C wc The total cost of carbon emission control in the typical material production process of the power grid during the calculation period, in yuan; E wc The amount of greenhouse gas reduced after treatment, unit: kgCO2; The power consumption per unit output value of typical materials produced by the power grid is calculated as follows: Where: X dc is the power consumption per unit output value of typical materials produced by the power grid, in yuan / kWh; F d c is the electric energy consumed by the typical materials production of the power grid during the statistical period, kWh; C c is the typical physical asset value of the power grid, in Yuan.

10. A carbon emission evaluation system for power material quality detection according to claim 9, characterized in that: Node carbon potential matrix E N The calculation formula is as follows: Where: P N is the node active flux matrix, P N =(P Nij ) N×N , where N is the number of nodes, i and j are the number of rows and columns respectively; P в is the branch power flow distribution matrix, P B =(P Bij ) N×N , used to describe the active power flow distribution of the power system of a typical material production unit of the power grid. The elements of this matrix represent the active power flow between nodes; P G The distribution matrix of the generator sets of typical material production units in the power grid is injected, P G =(P Gkj ) K×N’ K is the number of generator sets in a typical material production unit of the power grid, E G is the carbon emission intensity vector of the unit, E G =[e Gl ,e G2 ,...,e GK ] T ,The elements in this vector represent the different carbon emission intensities of each generator set.

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