Carbon footprint quantitative evaluation method

Abstract

The invention discloses a carbon footprint quantitative evaluation method. The method comprises the following steps: S1, determining an evaluation boundary and range; s2, collecting raw material data, production process data, transportation data and storage data according to the evaluation boundary and range determined in the step S1; s3, constructing a carbon emission calculation model; step S4, based on the data collected in the step S2 and the carbon emission calculation model constructed in the step S4, evaluating the life cycle of the whole electric power material to obtain a carbon footprint result; and S5, based on the evaluation result of the step S4, evaluating the carbon emission efficiency in the electric power material production process by using a DEA method. According to the invention, from the source of raw material acquisition to the tail end of finished product storage, each node which may generate carbon emission is comprehensively covered, the limitation that only part of links are concerned in the prior art is overcome, a complete carbon footprint portrait is provided for power enterprises, the enterprises are helped to comprehensively grasp the carbon emission condition in the production process, and the production efficiency is improved. And a comprehensive carbon emission reduction strategy is formulated.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon footprint quantitative evaluation methods, in particular to a carbon footprint quantitative evaluation method. Background Art

[0003] The power industry should not only optimize the energy structure and improve energy efficiency in the power generation link, but also control carbon emissions in the front-end link of power material production, which is increasingly important. However, the existing carbon footprint quantification technology has many shortcomings when applied to power material production. Most traditional methods only focus on some links, such as the calculation of carbon emissions from direct energy consumption in the production and manufacturing process, but ignore indirect emissions such as long-distance transportation, mining and processing during the acquisition of raw materials, as well as emission considerations in product transportation and warehousing. In addition, there is a lack of accurate and systematic methods for the comprehensive quantification of carbon footprints of multiple raw materials and multiple process routes in the production of complex power materials, which makes it impossible to fully and accurately reflect the true carbon footprint of power material production, and it is difficult to meet the needs of power companies for accurate decision-making and effective management during the low-carbon transformation process. Summary of the invention

[0004] In response to the technical problems raised in the background technology, the present invention provides a carbon footprint quantitative evaluation method, which overcomes the limitation of the existing technology that only focuses on some links, and provides a complete carbon footprint portrait for power companies, which helps companies to fully grasp the carbon emission status in the production process and formulate a comprehensive carbon emission reduction strategy.

[0005] The technical solution adopted by the present invention is: a carbon footprint quantitative evaluation method, comprising the following steps:

[0006] Step S1, determine the evaluation boundary and scope: clarify that the carbon footprint evaluation of the power material production process covers the entire process from the mining or production of raw materials by raw material suppliers to the transportation of finished power materials to the warehouse or construction site of the power enterprise;

[0007] Step S2, collecting raw material data, production process data, transportation data, and warehousing data according to the evaluation boundary and scope determined in step S1;

[0008] Step S3, constructing a carbon emission calculation model;

[0009] Step S4, based on the data collected in step S2 and the carbon emission calculation model constructed in step S4, the entire life cycle of the power material is evaluated to obtain a carbon footprint result;

[0010] Step S5, based on the evaluation result of step S4, the DEA method is used to evaluate the carbon emission efficiency in the production process of electric power materials.

[0011] Further, step S6, result verification: the calculated carbon footprint result is compared and verified with the historical data of the same type of power material production enterprises and the industry average level. If there is a large difference, the completeness and accuracy of data collection, the rationality of the calculation model and the applicability of the carbon emission factor are comprehensively reviewed and analyzed. Through field research, data review and expert consultation, the reasons for the differences are found, and the calculation results are corrected and improved, and a carbon footprint evaluation report and improvement suggestions for the power material production process are output.

[0012] Further, in step S2,

[0013] Collection of raw material data, including the collection of information on each raw material involved in the production process of power materials;

[0014] The collection of production process data includes recording the list of production equipment, including equipment name, model, power, operating time, maintenance cycle parameters, and statistics on the consumption of various types of energy in the production process;

[0015] Collection of transportation data, including data on transportation mode, transportation distance, transportation frequency, and transportation volume for raw materials and finished products, and determination of corresponding carbon emission calculation models and parameters based on the characteristics of different transportation modes;

[0016] The collection of storage data includes obtaining basic information on raw material storage and finished product storage facilities, including storage area, storage type, storage time, storage equipment list, and statistics on the operating time, power, energy consumption type and corresponding carbon emission factors of storage equipment.

[0017] Furthermore, in step S3, the carbon emission calculation model is constructed, including the calculation of carbon emissions in the raw material acquisition link, the calculation of carbon emissions in the production and manufacturing link, the calculation of carbon emissions in the transportation link, the calculation of carbon emissions in the warehousing link, and the calculation of the total carbon footprint of the power material production process.

[0018] Furthermore, the calculation of carbon emissions from raw material acquisition (CRA) is as follows:

[0019]

[0020] Where n is the number of raw material types; M i represents the quality of the i-th raw material; E i represents the energy consumption per unit mass in the production process of the i-th raw material; CF i represents the carbon emission factor of the i-th energy source; T i represents the transportation distance of the i-th raw material from the place of origin to the manufacturer; EF i represents the carbon emission factor per unit distance of the i-th raw material transportation mode;

[0021] For imported raw materials, the carbon emissions (CTI) during transportation are calculated separately:

[0022]

[0023] Where m is the number of transportation times of imported raw materials; D j represents the distance of the jth transportation; Vj represents the volume or mass of the raw materials transported for the jth time; EF tj It represents the carbon emission factor per unit distance and per unit cargo volume of the j-th mode of transport.

[0024] Furthermore, the calculation of carbon emissions (CPM) in the manufacturing process is as follows:

[0025] CPM=CPM e +CPM w +CPM r

[0026] Among them, CPM e Carbon emissions from production equipment operation, CPM w Carbon emissions for waste treatment, CPM r Carbon emissions from chemical reactions

[0027]

[0028] Where p is the number of production equipment; P k represents the power of the kth production equipment; T k Indicates the running time of the kth device; EF pk represents the carbon emission factor of the kth equipment operation;

[0029]

[0030] Where q is the number of waste types; W l Indicates the treatment volume of the first type of waste; CF wl Indicates the carbon emission factor per unit of waste treatment for the first waste treatment method; E wl Indicates the amount of energy consumed in the treatment of the first type of waste; EF el The carbon emission factor representing the energy consumed during the treatment process;

[0031] For production processes involving chemical reactions:

[0032]

[0033] Among them, r is the number of chemical reaction types; G s Indicates the mass of greenhouse gases produced by the sth chemical reaction; GWP srepresents the global warming potential of the sth greenhouse gas.

[0034] Furthermore, the calculation of carbon emissions (CT) in the transportation process is as follows:

[0035]

[0036] Where u is the number of transports; M t Indicates the mass or volume of the electric power materials transported for the tth time; D t represents the distance of the tth transport; EF t t represents the carbon emission factor per unit distance and per unit cargo volume of the tth mode of transport.

[0037] Furthermore, the calculation of carbon emissions (CW) in the warehousing stage is as follows:

[0038]

[0039] Where w is the number of storage facilities; A v represents the area of ​​the vth storage facility; T v Indicates storage time; EF a v represents the carbon emission factor per unit area and per unit time of the vth storage facility; E bv represents the energy consumed by the operation of storage equipment in the vth storage facility; EF ebv Represents the carbon emission factor of the storage equipment operating energy; L v represents the leakage of refrigerant in the vth storage facility; GWP rv Indicates the global warming potential of refrigerants in storage facilities.

[0040] Furthermore, the total carbon footprint (CTP) of the electricity material production process is calculated as follows:

[0041] CTP=CRA+CPM+CT+CW.

[0042] Furthermore, the calculation formula for evaluating the carbon emission efficiency in the production process of power materials using the DEA method is as follows:

[0043]

[0044] Among them, DEA efficiency refers to the efficiency value calculated by the DEA method, which is used to measure the efficiency of carbon emissions in the production process of power materials. The higher the efficiency value, the more effective the utilization of carbon emissions in the production process. The beneficial effects of the present invention are: the present invention comprehensively covers all nodes that may generate carbon emissions from the source of raw material acquisition to the end of finished product storage, overcomes the limitation of the prior art that only focuses on some links, and provides a complete carbon footprint portrait for power companies, which helps companies to fully grasp the carbon emission status in the production process, formulate a comprehensive carbon emission reduction strategy, provide direction guidance for the implementation of low-carbon emission reduction policies for power grids, and rectify power grid materials with poor low-carbon properties. The present invention calculates the carbon footprint of different process products in each link of the entire life cycle, quantitatively evaluates the carbon footprint of the product life cycle process, and finally evaluates the carbon of different products according to the quantitative indicators of the carbon footprint of the product life cycle process. According to the evaluation results, products that are not environmentally friendly and low-carbon can be optimized. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] Figure 1 The present invention provides a flow chart of a carbon footprint quantitative evaluation method. DETAILED DESCRIPTION

[0046] 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.

[0047] In order to solve the problems existing in the background technology, the present application proposes the following technical solution: a carbon footprint quantitative evaluation method, which specifically includes the following steps:

[0048] Step S1, determine the evaluation boundary and scope: clarify that the carbon footprint evaluation of the power material production process covers the entire process from the raw material mining or production of raw materials suppliers to the transportation of finished power materials to the warehouse or construction site of the power enterprise; including raw material acquisition links (such as ore mining, metal smelting, chemical raw material synthesis, etc.), production and manufacturing links (such as parts processing, product assembly, quality inspection, etc.), transportation links (including raw material transportation and finished product transportation, involving multiple modes of transportation such as road, rail, water, and aviation) and warehousing links (raw material warehousing and finished product warehousing, considering the energy consumption and management methods of different storage facilities), draw a detailed flow chart of the power material production process, clearly define the input and output of each link, and ensure that the evaluation scope is complete and there is no overlap or omission.

[0049] Step S2, collection of raw material data: collecting information on each raw material involved in the production of power materials;

[0050] Including basic attributes such as raw material name, specification, origin, supplier, purchase volume, etc. In-depth research on the production process of raw materials, obtain its production process flow chart, energy consumption list (such as coal, oil, natural gas, electricity and other energy consumption types and quantities) and corresponding carbon emission factors. For imported raw materials, it is also necessary to consider the carbon emission data during its international transportation, including transportation methods, transportation distances, energy consumption and emission factors of transportation tools, etc.

[0051] Step S3, collection of production process data: record the list of production equipment, including equipment name, model, power, operating time, maintenance cycle parameters, and statistics of various energy consumption data during the production process;

[0052] Such as real-time electricity consumption, peak-valley-flat electricity consumption ratio, fuel consumption types and quantities, etc., and determine the corresponding carbon emission factors. Collect information on waste generated during the production process, including waste types (such as wastewater, waste gas, waste residue, etc.), generation volume, treatment methods (such as landfill, incineration, recycling, etc.), and energy consumption and carbon emission data during the treatment process. For production processes involving chemical reactions, analyze the chemical reaction equations in detail, determine the material transformation and energy changes during the reaction process, and calculate the greenhouse gas emissions (such as carbon dioxide, methane, etc.) generated by chemical reactions.

[0053] Step S4, collection of transportation data: for raw material transportation and finished product transportation, collect data on transportation mode (such as vehicle type, load, mileage, fuel consumption rate for road transportation; train type, transportation distance, energy consumption index for rail transportation; ship type, navigation route, fuel consumption and emission data for water transportation; flight information, cargo weight, fuel consumption and emission factor for air transportation, etc.), transportation distance, transportation frequency, and transportation cargo volume, and determine the corresponding carbon emission calculation model and parameters according to the characteristics of different transportation modes; for example, road transportation can consider factors such as vehicle fuel efficiency, driving conditions, and exhaust emission standards to calculate carbon emissions; rail transportation can be calculated based on energy consumption per unit transportation volume and carbon emission conversion coefficient; water transportation needs to consider the ship's engine type, fuel type, navigation speed and emission factor, etc.; air transportation is quantified based on the relationship between flight model, range, fuel consumption and greenhouse gas emissions.

[0054] Step S5, collection of storage data: obtain basic information of raw material storage and finished product storage facilities, including storage area, storage type (such as normal temperature storage, cold storage, bonded storage, etc.), storage time, storage equipment list (such as lighting equipment, ventilation equipment, air conditioning equipment, shelves, etc.), statistics of storage equipment operation time, power, energy consumption type (such as electricity, diesel, etc.) and corresponding carbon emission factors; for special storage facilities such as cold storage, it is also necessary to consider the refrigerant type, leakage rate and greenhouse gas emission potential (GWP) of the refrigeration system, and calculate the carbon emissions caused by refrigerant leakage.

[0055] Step S6, constructing a carbon emission calculation model;

[0056] Step S7, life cycle assessment: Based on the data collected in steps S2 to S5 and the carbon emission calculation model constructed in step S6, the entire life cycle of the power material is assessed to obtain a carbon footprint result;

[0057] Step S8, using the DEA method to evaluate the carbon emission efficiency in the production process of power materials;

[0058] Step S9, result verification: Compare and verify the calculated carbon footprint results with the historical data of the same type of power material production enterprises, the industry average level or the results obtained through other mature carbon footprint quantification methods. If there are large differences, conduct a comprehensive review and analysis of the completeness and accuracy of data collection, the rationality of the calculation model and the applicability of the carbon emission factor. Through field research, data review and expert consultation, find out the reasons for the differences, revise and improve the calculation results, and output the carbon footprint evaluation report and improvement suggestions for the power material production process.

[0059] Uncertainty Analysis:

[0060] Identify the sources of uncertainty in the process of carbon footprint quantitative evaluation, such as measurement errors in data collection, statistical bias, uncertainty in carbon emission factors (due to differences in carbon emission factors in different regions and at different technical levels), simplification and assumptions in calculation models, etc. Use sensitivity analysis methods to determine the key parameters and factors that have a greater impact on the carbon footprint calculation results, such as production links with high energy consumption, long-distance transportation links, raw materials or energy with high emission factors, etc. In view of the uncertainty factors, use probability distribution method or interval estimation method to quantify the uncertainty of carbon footprint calculation results, and provide the confidence interval or probability distribution range of carbon footprint results, so that enterprise managers can have a more comprehensive understanding of the reliability and potential risks of carbon footprint quantification results.

[0061] The above technical solution is explained as follows:

[0062] The present invention comprehensively covers all possible nodes that may generate carbon emissions, from the source of raw material acquisition to the end of finished product storage, overcoming the limitation of the existing technology that only focuses on some links, and providing a complete carbon footprint portrait for power companies, which helps companies to fully grasp the carbon emission status in the production process, formulate a comprehensive carbon emission reduction strategy, provide direction guidance for the implementation of low-carbon emission reduction policies for power grids, and rectify power grid materials with poor low-carbon performance. The present invention calculates the carbon footprint of different process products in each link of the entire life cycle, quantitatively evaluates the carbon footprint of the product life cycle process, and finally evaluates different products according to the quantitative indicators of the carbon footprint of the product life cycle process. According to the evaluation results, products that are not environmentally friendly and low-carbon can be optimized.

[0063] In the further design, in step S6, the carbon emission calculation model is constructed including carbon emissions in the raw material acquisition stage, carbon emissions in the production and manufacturing stage, carbon emissions in the transportation stage, carbon emissions in the warehousing stage and the total carbon footprint of the power material production process.

[0064] In the further design, the carbon emission of raw material acquisition (CRA) is calculated as follows:

[0065]

[0066] Where n is the number of raw material types; M i represents the quality of the i-th raw material; E i represents the energy consumption per unit mass in the production process of the i-th raw material; CF i represents the carbon emission factor of the i-th energy source; T i represents the transportation distance of the i-th raw material from the place of origin to the manufacturer; EF i represents the carbon emission factor per unit distance of the i-th raw material transportation mode;

[0067] For imported raw materials, the carbon emissions (CTI) during transportation can be calculated separately:

[0068]

[0069] Where m is the number of transportation times of imported raw materials; D j represents the distance of the jth transport; V j represents the volume or mass of raw materials transported for the jth time; EF tj It represents the carbon emission factor per unit distance and per unit cargo volume of the j-th mode of transport.

[0070] The above technical solution is explained as follows: In the process of power material production, carbon emissions from raw material acquisition (CRA) is a key factor in evaluating the environmental impact of the entire production cycle. By accurately calculating the carbon emissions of each raw material during production and transportation, the overall carbon footprint can be more effectively managed and reduced. Specifically, the calculation of CRA takes into account the quality of the raw materials (M i ), energy consumption per unit mass (E i ), energy carbon emission factor (CF i ) and the transport distance (Ti) and the carbon emission factor (EF i ), for imported raw materials, the separate calculation of carbon emissions during transportation (CTI) further refines the assessment of carbon footprint, covering the number of transportations (m), distance (D j ), raw material volume or mass (Vj), and carbon emission factor per unit distance and per unit cargo volume (EF tj ), which helps companies identify emission reduction potential and optimize supply chain management.

[0071] An example of calculation of the above technical solution is as follows:

[0072] 1. Example of calculating carbon emissions from raw material acquisition (CRA)

[0073] Assume we have two raw materials (n=2):

[0074] Mass M1 = 100 kg

[0075] Energy consumption per unit mass E1 = 2 kWh / kg

[0076] Energy carbon emission factor CF1 = 0.5kg CO2 / kWh

[0077] Transport distance T1 = 500km

[0078] Carbon emission factor per unit distance of transportation mode EF1=0.002kg CO2 / km

[0079] Mass M2 = 200 kg

[0080] Energy consumption per unit mass E2 = 1.5 kWh / kg

[0081] Energy carbon emission factor CF2 = 0.4kg CO2 / kWh. Transport distance T2 = 300km

[0082] The carbon emission factor per unit distance of the transport mode is EF2 = 0.003 kg CO2 / km according to the formula

[0083] CRA=(M1×E1×CF1+T1×EF1)+(M2×E2×CF2+T2×EF2)

[0084] =(100×2×0.5+500×0.002)+(200×1.5×0.4+300×0.003)

[0085] =(100+1)+(120+0.9)

[0086] =101+120.9

[0087] =221.9kgCO2

[0088] Assume that the number of transportation times for imported raw materials is m = 3

[0089] Transportation distance D1 = 1000km, transportation volume or mass of raw materials V1 = 50kg, transportation mode unit distance, unit cargo volume carbon emission factor EF 1j = 0.001 kgCO2 / km·kg, transportation distance D2 = 800 km, transportation volume or mass of raw materials V2 = 30 kg, carbon emission factor EF per unit distance and per unit cargo volume of transportation mode 2j =0.0015kgCO2 / km·kg, transportation distance D3 = 1200km, transportation volume or mass of raw materials V3 = 40kg, carbon emission factor EF per unit distance and per unit cargo volume of transportation mode 3j =0.0008kgCO2 / km·kg

[0090] According to the formula CTI = ∑ j =1 m (D j ×V j ×EF ij )

[0091] CTI=(D1×V1×EF 1j )+(D2×V2×EF 2j )+(D3×V3×EF 3j )

[0092] =(1000×50×0.001)+(800×30×0.0015)+(1200×40×0.0008)

[0093] =(50)+(36)+(38.4)

[0094] =124.4kg CO2

[0095] Through the above embodiments, we can see how to calculate the carbon emissions in the raw material acquisition process (CRA) and the carbon emissions in the transportation process of imported raw materials (CTI) according to the given formula.

[0096] In the further design, the carbon emissions (CPM) of the manufacturing process are calculated as follows:

[0097] CPM=CPM e +CPM w +CPM r

[0098] Among them, CPM e Carbon emissions from production equipment operation, CPM w Carbon emissions for waste treatment, CPM r Carbon emissions from chemical reactions

[0099]

[0100] Where p is the number of production equipment; P k represents the power of the kth production equipment; T k Indicates the operating time of the kth device (such as hours); EF pk represents the carbon emission factor of the kth equipment operation;

[0101]

[0102] Where q is the number of waste types; W l Indicates the treatment volume of the first type of waste; CF wl Indicates the carbon emission factor per unit of waste treatment for the first waste treatment method; E wl Indicates the amount of energy consumed in the treatment of the first type of waste; EF el The carbon emission factor representing the energy consumed during the treatment process;

[0103] For production processes involving chemical reactions:

[0104]

[0105] Among them, r is the number of chemical reaction types; G s Indicates the mass of greenhouse gases produced by the sth chemical reaction; GWP s represents the global warming potential of the sth greenhouse gas.

[0106] The above technical solution is explained as follows: In the production and manufacturing process, the quantitative assessment of carbon emissions (CPM) is the key to achieving industrial emission reduction. e , Waste treatment CPM w and chemical reaction CPM r Carbon emissions in three major links can more accurately control and reduce the carbon footprint of the production process. eThe carbon emissions of equipment operation are calculated by considering the number of equipment, power, operating time and carbon emission factors. w The carbon emission factor of the waste type, treatment volume, treatment method, and energy consumption and carbon emission factor during the treatment process are considered. For greenhouse gases produced by chemical reactions, CPM r The carbon emission assessment framework is provided by calculating the reaction types, the amount of greenhouse gases produced and their global warming potential. It also identifies and quantifies the key carbon emission sources in the production process.

[0107] In the further design, the carbon emission (CT) of the transportation link is calculated as follows:

[0108]

[0109] Where u is the number of transports; M t Indicates the mass or volume of the electric power materials transported for the tth time; D t represents the distance of the tth transport; EF t t represents the carbon emission factor per unit distance and per unit cargo volume of the tth mode of transport.

[0110] The above technical solution is explained as follows:

[0111] In the further design, the carbon emissions (CW) of the warehousing stage are calculated as follows:

[0112]

[0113] Where w is the number of storage facilities; A v represents the area of ​​the vth storage facility; T v Indicates storage time; EF a v represents the carbon emission factor per unit area and per unit time of the vth storage facility; E bv represents the energy consumed by the operation of storage equipment in the vth storage facility; EF ebv Represents the carbon emission factor of the storage equipment operating energy; L v represents the leakage of refrigerant in the vth storage facility; GWP rv Indicates the global warming potential of refrigerants in storage facilities.

[0114] The above technical solution is explained as follows: In the transportation link of power materials, the formula It can accurately calculate the carbon emissions during each transportation process, helping companies identify and optimize carbon emissions during transportation, thereby achieving more environmentally friendly logistics management.

[0115] In the further design, the total carbon footprint (CTP) of the electricity material production process is calculated as follows:

[0116] CTP=CRA+CPM+CT+CW.

[0117] The above technical solution is explained as follows: After the above model is established, enterprises can accurately quantify and control carbon emissions in every link from raw material acquisition, production, transportation to waste treatment. It provides a comprehensive carbon emission assessment framework, so that enterprises can more effectively reduce their carbon footprint and enhance environmental responsibility.

[0118] An example calculation is performed for the above technical solution:

[0119] 1. Assume the values ​​of each parameter

[0120] CRA (carbon emissions from raw material acquisition)

[0121] Assume CRA = 100 kg CO2 (this value can be calculated using the method mentioned above, but is assumed here for the sake of example)

[0122] CPM (carbon emissions in production and processing)

[0123] Assume that during the production process, the unit carbon emission for each product produced is 5kgCO2, and 10 products are produced.

[0124] CPM=5×10=50kg CO2

[0125] CT (Carbon Emissions in Transportation)

[0126] Assume that during the transportation process, the transportation distance is 200km and the carbon emission per kilometer of the transportation vehicle is 0.2kgCO2 / km.

[0127] CT = 200 × 0.2 = 40 kg CO2

[0128] CW (Carbon emissions in warehousing)

[0129] Assume that during the storage process, the warehouse's monthly carbon emissions are 10kgCO2, and the product is stored in the warehouse for 3 months. Then CW = 10 × 3 = 30kgCO2

[0130] Calculation of CTP

[0131] CTP=100+50+40+30

[0132] =220kg CO2

[0133] Substituting the above assumed values ​​into the formula CTP=CRA+CPM+CT+CW, therefore, in this hypothetical example, the total carbon footprint CTP of the electricity material production process is 220kgCO.

[0134] In the further design, in step S8, the calculation formula for evaluating the carbon emission efficiency in the power material production process using the DEA method is as follows:

[0135]

[0136] Among them, DEA efficiency refers to the

[0137] The following is an example of calculation for the above technical solution:

[0138] Assume that the values ​​of the parameters

[0139] CRA (carbon emissions from raw material acquisition)

[0140] Assume CRA = 100 kg CO2 (this value can be calculated using the method mentioned above, but is assumed here for the sake of example)

[0141] CPM (carbon emissions in production and processing)

[0142] Assume that during the production process, the unit carbon emission for each product produced is 5kgCO2, and 10 products are produced.

[0143] CPM=5×10=50kg CO2

[0144] CT (Carbon Emissions in Transportation)

[0145] Assume that during the transportation process, the transportation distance is 200km and the carbon emission per kilometer of the transportation vehicle is 0.2kgCO2 / km.

[0146] CT = 200 × 0.2 = 40 kg CO2

[0147] CW (Carbon emissions in warehousing)

[0148] Assume that during the storage process, the warehouse emits 10kg CO2 per month, and the product is stored in the warehouse for 3 months. Then CW = 10 × 3 = 30kg CO2

[0149] Calculation of CTP

[0150] CTP=100+50+40+30

[0151] =220kg CO2

[0152] Substituting the above assumed values ​​into the formula CTP=CRA+CPM+CT+CW, therefore, in this hypothetical example, the total carbon footprint CTP of the electricity material production process is 220kgCO.

[0153] The calculated efficiency value is used to measure the efficiency of carbon emissions in the production process of power materials. The higher the efficiency value, the more effective the utilization of carbon emissions in the production process.

[0154] The above technical solution is explained as follows: by combining the DEA technology, not only the accuracy and reliability of the evaluation are improved, but also the adaptability and flexibility of the evaluation results are enhanced.

[0155] In summary, this invention fully considers the impact of factors such as raw material diversity, production process complexity, and differences in transportation and storage conditions on carbon emissions in the production process of power materials through detailed data collection and accurate calculation model construction. The introduction of specific carbon emission factors for different links, different substances and energy sources, and the separate quantification of special processes such as chemical reactions and waste treatment have greatly improved the accuracy of carbon footprint quantification. At the same time, through result verification and uncertainty analysis, the reliability of the quantification results is further ensured, providing a solid data foundation for corporate decision-making.

[0156] The present invention has strong dynamic adaptability and can respond to changes in technology innovation, energy structure adjustment, raw material substitution, etc. in the production process of power materials in a timely manner. With the application of new energy technologies in production equipment, the promotion of green raw materials, and the upgrading of transportation and storage technologies, the changes in carbon footprint can be accurately calculated by simply updating the corresponding data and parameters. This forward-looking design helps power companies plan ahead and respond proactively during the low-carbon transformation process to maintain their competitiveness on the road to sustainable development.

[0157] The present invention is significantly innovative in terms of evaluation framework, calculation model, data processing, etc. It integrates multi-source data to build a comprehensive and systematic quantification system, uses advanced mathematical models to accurately calculate carbon emissions, and provides reliability assessment of quantification results through uncertainty analysis, providing new ideas and methods for the quantitative evaluation of carbon footprint in the power industry.

[0158] While 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 defined by the appended claims and their equivalents.

Claims

1. A carbon footprint quantitative evaluation method, characterized in that: The following steps are involved: Step S1, determine the evaluation boundary and scope: clarify that the carbon footprint evaluation of the power material production process covers the entire process from the mining or production of raw materials by raw material suppliers to the transportation of finished power materials to the warehouse or construction site of the power enterprise; Step S2, collecting raw material data, production process data, transportation data, and warehousing data according to the evaluation boundary and scope determined in step S1; Step S3, constructing a carbon emission calculation model; Step S4, based on the data collected in step S2 and the carbon emission calculation model constructed in step S4, the entire life cycle of the power material is evaluated to obtain a carbon footprint result; Step S5, based on the evaluation result of step S4, the DEA method is used to evaluate the carbon emission efficiency in the production process of electric power materials.

2. A carbon footprint quantitative evaluation method according to claim 1, characterized in that: Also includes: Step S6, result verification: the calculated carbon footprint result is compared and verified with the historical data of the same type of power material production enterprises and the industry average level. If there is a large difference, the completeness and accuracy of data collection, the rationality of the calculation model and the applicability of the carbon emission factor are comprehensively reviewed and analyzed. Through field research, data review and expert consultation, the reasons for the difference are found, and the calculation results are corrected and improved, and the carbon footprint evaluation report and improvement suggestions for the power material production process are output.

3. A carbon footprint quantitative evaluation method according to claim 1, characterized in that: In step S2, Collection of raw material data, including the collection of information on each raw material involved in the production process of power materials; The collection of production process data includes recording the list of production equipment, including equipment name, model, power, operating time, maintenance cycle parameters, and statistics on the consumption of various types of energy in the production process; Collection of transportation data, including data on transportation mode, transportation distance, transportation frequency, and transportation volume for raw materials and finished products, and determination of corresponding carbon emission calculation models and parameters based on the characteristics of different transportation modes; The collection of storage data includes obtaining basic information on raw material storage and finished product storage facilities, including storage area, storage type, storage time, storage equipment list, and statistics on the operating time, power, energy consumption type and corresponding carbon emission factors of storage equipment.

4. A carbon footprint quantitative evaluation method according to claim 3, characterized in that: In step S3, the carbon emission calculation model is constructed, including the calculation of carbon emissions in the raw material acquisition link, the calculation of carbon emissions in the production and manufacturing link, the calculation of carbon emissions in the transportation link, the calculation of carbon emissions in the warehousing link, and the calculation of the total carbon footprint of the power material production process.

5. A carbon footprint quantitative evaluation method according to claim 4, characterized in that: The calculation of carbon emissions from raw material acquisition (CRA) is as follows: Where n is the number of raw material types; M i represents the quality of the i-th raw material; E i represents the energy consumption per unit mass in the production process of the i-th raw material; CF i represents the carbon emission factor of the i-th energy source; T i represents the transportation distance of the i-th raw material from the place of origin to the manufacturer; EF i represents the carbon emission factor per unit distance of the i-th raw material transportation mode; For imported raw materials, the carbon emissions (CTI) during transportation are calculated separately: Where m is the number of transportation times of imported raw materials; D j represents the distance of the jth transport; V j represents the volume or mass of raw materials transported for the jth time; EF tj It represents the carbon emission factor per unit distance and per unit cargo volume of the j-th mode of transport.

6. A carbon footprint quantitative evaluation method according to claim 5, characterized in that: The calculation of carbon emissions (CPM) in the manufacturing process is as follows: CPM=CPM e +CPM w +CPM r Among them, CPM e Carbon emissions from production equipment operation, CPM w Carbon emissions for waste treatment, CPM r Carbon emissions from chemical reactions Where p is the number of production equipment; P k represents the power of the kth production equipment; T k Indicates the running time of the kth device; EF pk represents the carbon emission factor of the kth equipment operation; Where q is the number of waste types; W l Indicates the treatment volume of the first type of waste; CF wl Indicates the carbon emission factor per unit of waste treatment for the first waste treatment method; E wl Indicates the amount of energy consumed in the treatment of the first type of waste; EF el The carbon emission factor representing the energy consumed during the treatment process; For production processes involving chemical reactions: Among them, r is the number of chemical reaction types; G s Indicates the mass of greenhouse gases produced by the sth chemical reaction; GWP s represents the global warming potential of the sth greenhouse gas.

7. A carbon footprint quantitative evaluation method according to claim 6, characterized in that: The calculation of carbon emissions (CT) in the transportation process is as follows: Where u is the number of transports; M t Indicates the mass or volume of the electric power materials transported for the tth time; D t represents the distance of the tth transport; EF t t represents the carbon emission factor per unit distance and per unit cargo volume of the tth mode of transport.

8. A carbon footprint quantitative evaluation method according to claim 7, characterized in that: The calculation of carbon emissions (CW) in the warehousing stage is as follows: Where w is the number of storage facilities; A v represents the area of ​​the vth storage facility; T v Indicates storage time; EF a v represents the carbon emission factor per unit area and per unit time of the vth storage facility; E bv represents the energy consumed by the operation of storage equipment in the vth storage facility; EF ebv Represents the carbon emission factor of the storage equipment operating energy; L v represents the leakage of refrigerant in the vth storage facility; GWP rv Indicates the global warming potential of refrigerants in storage facilities.

9. A carbon footprint quantitative evaluation method according to claim 8, characterized in that: The calculation of the total carbon footprint (CTP) of the electricity material production process is as follows: CTP=CRA+CPM+CT+CW.

10. A carbon footprint quantitative evaluation method according to claim 1, characterized in that: In step S5, the calculation formula for evaluating the carbon emission efficiency in the power material production process using the DEA method is as follows: Among them, DEA efficiency refers to the efficiency value calculated by the DEA method, which is used to measure the efficiency of carbon emissions in the production process of electric power materials. The higher the efficiency value, the more effective the utilization of carbon emissions in the production process.

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