Index carbon reduction improvement potential analysis method based on product carbon footprint

Abstract

The invention relates to an index carbon reduction improvement potential analysis method based on a product carbon footprint, and belongs to the technical field of industrial equipment and methods. According to the technical scheme, the method comprises the steps of collecting specific indexes of a product carbon footprint specific unit process, matching a carbon emission factor to calculate a carbon footprint result of a final product of a product system, preliminarily screening out indexes with a high carbon footprint contribution rate, evaluation index unit consumption improvement potential values and evaluation index supplier improvement potential values, screening key carbon reduction indexes, and calculating the carbon footprint result of the final product of the product system. And calculating the index unit consumption and the achievable carbon reduction amount of the product carbon footprint after supplier improvement. The method has the beneficial effects that carbon reduction improvement potential analysis is carried out by aiming at the specific indexes of the specific unit process of the carbon footprint of the product, the feasibility of the indexes and material supplier screening are considered, and carbon reduction technicians can be helped to quickly determine key and feasible carbon reduction indexes.

Description

Technical Field

[0001] This invention relates to a method for analyzing the carbon reduction improvement potential based on product carbon footprint indicators, belonging to the technical field of industrial equipment and methods. Background Technology

[0002] As the global goal of carbon neutrality progresses, high-carbon-emitting industries such as manufacturing, energy, and construction urgently need to scientifically assess their carbon emission levels and develop precise carbon reduction pathways. In practical business practice, taking the steel industry as an example, end consumers and downstream steel customers primarily demand reductions in the carbon footprint of specific product types. Therefore, technical personnel need to, based on the needs of downstream customers, focus on reducing the carbon footprint of a particular product category, and from a "cradle-gate" perspective, explore the potential for carbon reduction improvements in specific indicators within the included unit processes, develop carbon reduction strategies, and implement carbon reduction actions.

[0003] In existing technologies, carbon reduction improvement potential analysis mainly focuses on macro-level carbon emission accounting and carbon reduction potential assessment for enterprises, organizations, or specific operating systems. However, there is a gap in the analysis of carbon reduction improvement potential at the micro-level, particularly for specific indicators of each unit process in the calculation of a product's carbon footprint. Furthermore, existing macro-level carbon reduction potential analysis methods have significant shortcomings, specifically: macro-level carbon reduction potential analysis results cannot provide concrete carbon reduction guidance for frontline operators; the feasibility of carbon reduction measures, such as improvement potential, technological maturity, and economic viability, is not considered; the focus is only on reducing carbon consumption, neglecting the selection of material suppliers; and the carbon reduction improvement potential among multiple indicators is not comparable, making it difficult to quickly identify key and feasible carbon reduction indicators. Therefore, existing technologies lack a method that can simultaneously consider indicator feasibility and material supplier selection to analyze and rank the carbon reduction improvement potential of specific unit processes and indicators in a product's carbon footprint. This leads to a lack of direction for carbon reduction technicians when formulating product carbon footprint reduction strategies, resulting in significant investment of human and material resources with minimal carbon reduction results. Summary of the Invention

[0004] The purpose of this invention is to provide a method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint. By analyzing the carbon reduction improvement potential of specific indicators in specific unit processes of product carbon footprint, and taking into account the feasibility of indicators and material supplier selection, this method can help carbon reduction technicians quickly identify key and feasible carbon reduction indicators, effectively solving the above-mentioned problems existing in the background technology.

[0005] The technical solution of this invention is: a method for analyzing the carbon reduction improvement potential based on product carbon footprint indicators, comprising the following steps:

[0006] (a) Collect a list of product carbon footprint unit process activities;

[0007] (b) Match each activity data point with direct carbon emission factors, indirect carbon emission factors, and carbon emission factors for road, rail, and sea transport;

[0008] (c) Calculate the carbon footprint of the final product produced by the product system;

[0009] (d) Calculate the carbon footprint contribution rate of the indicators, sort them in descending order, and screen out the indicators with higher contribution rates to the carbon footprint of the product.

[0010] (e) Collect advanced indicator values ​​corresponding to indicators that contribute significantly to the carbon footprint of products, and calculate the improvement potential of the current indicator value relative to the advanced indicator value; evaluate the technology readiness level of new technologies required to improve the current indicator value to the advanced indicator value, and convert it into a technology maturity coefficient; simultaneously collect the average annual rate of return on investment due to increased investment caused by technology upgrades.

[0011] (f) Collect supplier alternatives for materials corresponding to indicators that contribute significantly to the carbon footprint of the product, calculate the comprehensive carbon emission factor and purchase price of materials in the current option A and alternative option B respectively, calculate the improvement space of the comprehensive carbon emission factor of the current option relative to the alternative option, and calculate the premium rate of the alternative option relative to the current option.

[0012] (g) Calculate the carbon reduction improvement potential value of the single consumption and the carbon reduction improvement potential value of the supplier for the indicators that have a high contribution rate to the carbon footprint of the product, and calculate the comprehensive carbon reduction improvement potential value. Based on the comprehensive carbon reduction improvement potential value, sort them in descending order to select the most important key carbon reduction indicators.

[0013] (h) Calculate the carbon reduction that can be achieved by the carbon footprint of the final product output of the product system after the supplier's improvement, based on the unit consumption of the calculated index.

[0014] In step (a), the product carbon footprint unit process activity data list includes the names of all input and output materials except intermediate products in all unit processes of the entire product system, as well as the unit consumption of input materials when the product system produces a unit of final product, the transportation methods and transportation distances they experience, and the unit output of output materials when the product system produces a unit of final product.

[0015] The transportation methods that materials undergo include road, rail and sea transport from cradle to the product system entering the factory gate.

[0016] In step (b), the direct carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases released per unit of material during the product manufacturing process through physicochemical changes; the indirect carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during its upstream manufacturing process; and the carbon emission factor for road, rail, and sea transportation refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during the transportation unit distance between the completion of upstream manufacturing and the arrival at the gate of the product system.

[0017] In step (c), the carbon footprint of the final product produced by the product system is calculated as follows: CFP = ∑ i [a i ×(EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×EF i-MT (1)

[0018] CFP refers to the carbon footprint of the final product produced by the product system.

[0019] a i This is the activity data of material i corresponding to the unit of final product produced by the product system. It is positive when material i is an input material and negative when material i is an output material.

[0020] EF i-dir EF is the direct carbon emission factor of material i. i-ind For material i, the indirect carbon emission factor;

[0021] L i-RD L i-RL and L i-MT These represent the road, rail, and sea transport distances for material i, respectively; EF i-RD EF i-RL and EF i-MT These are the carbon emission factors for material i via road, rail, and sea transportation, respectively.

[0022] In step (d), the indicator can be understood as the level of control that an enterprise has over the quantity of a certain material i in a certain unit process of the product system and its supplier information, including the direct carbon emission factor, indirect carbon emission factor, transportation method and transportation distance of material i.

[0023] The carbon footprint contribution rate of an indicator refers to a specific indicator a i The proportion of carbon emissions to the carbon footprint of the final product is calculated using the following formula:

[0024]

[0025] Among them, CR i This indicates a certain indicator 'a'. i carbon footprint contribution rate;

[0026] The criteria for determining a high contribution rate are left to the discretion of the decision-maker.

[0027] In step (e), the potential for improvement of the current indicator value relative to the advanced indicator value is calculated according to the following formula:

[0028]

[0029] Where, p i Indicates a i The potential for improvement in the indicators, a i0 Indicates the current indicator value, a i1 Indicates advanced indicator values;

[0030] Technology readiness level is evaluated according to Table A.1 in Appendix A of GB / T 22900-2022, and is divided into 1-9 levels; the method for converting technology readiness level into technology maturity coefficient is as follows:

[0031]

[0032] Among them, t i Indicates that index a i The maturity coefficient of the technology used to achieve advanced performance indicators (TRL) i Indicates the level of technology readiness;

[0033] The average annual rate of return on investment due to increased investment caused by technological upgrades is calculated using the following formula:

[0034]

[0035] Among them, ROI i NP represents the average annual return on investment. i Indicates net income, IC i This indicates the investment cost.

[0036] In step (f), the comprehensive carbon emission factor is calculated using the following formula:

[0037] EF i =EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×EF i-MT (6)

[0038] Among them, EF i Indicates the overall carbon emission factor of the material;

[0039] The potential for improvement in the overall carbon emission factor of the current solution compared to the alternative materials is calculated using the following formula:

[0040]

[0041] Where, q i This indicates the potential for improvement in the overall carbon emission factor, EF. i-A EF represents the overall carbon emission factor of material A in the current scheme. i-B Indicates the overall carbon emission factor of material alternative B;

[0042] The premium of the alternative materials relative to the current materials is calculated using the following formula:

[0043]

[0044] Among them, u i For premium rate, UP i-A UP represents the unit purchase price of material A in the current plan. i-B The unit price of material B as an alternative;

[0045] For the output materials, supplier improvements are not considered.

[0046] In step (g), the carbon reduction improvement potential value per unit consumption, the carbon reduction improvement potential value of the supplier, and the overall carbon reduction improvement potential value are calculated according to the following formulas:

[0047]

[0048] P i =P i-1 +P i-2 (11)

[0049] Among them, P i For indicator a i The comprehensive carbon reduction improvement potential value, P i-1 For indicator a i The potential value for improving carbon reduction per unit consumption, P i-2 For indicator a i Suppliers' potential for carbon reduction improvements;

[0050] Among the multiple indicators that contribute significantly to the carbon footprint of the product, those with greater potential for carbon reduction improvement are selected by sorting them in descending order based on their comprehensive carbon reduction improvement potential value.

[0051] For the output materials, the supplier's improvement potential value is 0.

[0052] In step (h), the carbon reduction achievable by the unit consumption of the indicator and the carbon footprint of the final product output by the improved product system from the supplier is calculated according to the following formula:

[0053] ΔCFP i-1 =CR i ×p i ×CFP (12)

[0054] ΔCFP i-2 =CR i ×q i ×CFP (13)

[0055] ΔCFP i =ΔCFP i-1 +ΔCFP i-2 (14)

[0056] Wherein, ΔCFP i For indicator a i The total carbon reduction achievable by improving both the unit consumption and the supplier's combined output of the product system and the final product's carbon footprint, ΔCFP i-1 For indicator a i The carbon reduction that can be achieved after the improvement of unit consumption, ΔCFP i-2 For indicator a i The amount of carbon reduction that can be achieved after the supplier makes improvements.

[0057] The beneficial effects of this invention are: by analyzing the potential for carbon reduction improvement for specific indicators of specific unit processes in the carbon footprint of a product, and taking into account the feasibility of the indicators and the selection of material suppliers, it can help carbon reduction technicians quickly identify key and feasible carbon reduction indicators. Attached Figure Description

[0058] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0059] To make the purpose, technical solutions, and advantages of the invention's embodiments clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the embodiments described are only a small part of the embodiments of the present invention, not all of them. All other embodiments obtained by those skilled in the art based on the embodiments of the present invention without creative effort are within the protection scope of the present invention.

[0060] A method for analyzing the carbon reduction improvement potential based on product carbon footprint indicators includes the following steps:

[0061] (a) Collect a list of product carbon footprint unit process activities;

[0062] (b) Match each activity data point with direct carbon emission factors, indirect carbon emission factors, and carbon emission factors for road, rail, and sea transport;

[0063] (c) Calculate the carbon footprint of the final product produced by the product system;

[0064] (d) Calculate the carbon footprint contribution rate of the indicators, sort them in descending order, and screen out the indicators with higher contribution rates to the carbon footprint of the product.

[0065] (e) Collect advanced indicator values ​​corresponding to indicators that contribute significantly to the carbon footprint of products, and calculate the improvement potential of the current indicator value relative to the advanced indicator value; evaluate the technology readiness level of new technologies required to improve the current indicator value to the advanced indicator value, and convert it into a technology maturity coefficient; simultaneously collect the average annual rate of return on investment due to increased investment caused by technology upgrades.

[0066] (f) Collect supplier alternatives for materials corresponding to indicators that contribute significantly to the carbon footprint of the product, calculate the comprehensive carbon emission factor and purchase price of materials in the current option A and alternative option B respectively, calculate the improvement space of the comprehensive carbon emission factor of the current option relative to the alternative option, and calculate the premium rate of the alternative option relative to the current option.

[0067] (g) Calculate the carbon reduction improvement potential value of the single consumption and the carbon reduction improvement potential value of the supplier for the indicators that have a high contribution rate to the carbon footprint of the product, and calculate the comprehensive carbon reduction improvement potential value. Based on the comprehensive carbon reduction improvement potential value, sort them in descending order to select the most important key carbon reduction indicators.

[0068] (h) Calculate the carbon reduction that can be achieved by the carbon footprint of the final product output of the product system after the supplier's improvement, based on the unit consumption of the calculated index.

[0069] In step (a), the product carbon footprint unit process activity data list includes the names of all input and output materials except intermediate products in all unit processes of the entire product system, as well as the unit consumption of input materials when the product system produces a unit of final product, the transportation methods and transportation distances they experience, and the unit output of output materials when the product system produces a unit of final product.

[0070] The transportation methods that materials undergo include road, rail and sea transport from cradle to the product system entering the factory gate.

[0071] In step (b), the direct carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases released per unit of material during the product manufacturing process through physicochemical changes; the indirect carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during its upstream manufacturing process; and the carbon emission factor for road, rail, and sea transportation refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during the transportation unit distance between the completion of upstream manufacturing and the arrival at the gate of the product system.

[0072] In step (c), the carbon footprint of the final product produced by the product system is calculated as follows: CFP = ∑ i [a i ×(EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×eF i-MT (1)

[0073] CFP refers to the carbon footprint of the final product produced by the product system.

[0074] a i This is the activity data of material i corresponding to the unit of final product produced by the product system. It is positive when material i is an input material and negative when material i is an output material.

[0075] EF i-dir EF is the direct carbon emission factor of material i. i-ind For material i, the indirect carbon emission factor;

[0076] L i-RD L i-RL and L i-MT These represent the road, rail, and sea transport distances for material i, respectively; EF i-RD EF i-RL and FT i-MT These are the carbon emission factors for material i via road, rail, and sea transportation, respectively.

[0077] In step (d), the indicator can be understood as the level of control that an enterprise has over the quantity of a certain material i in a certain unit process of the product system and its supplier information, including the direct carbon emission factor, indirect carbon emission factor, transportation method and transportation distance of material i.

[0078] The carbon footprint contribution rate of an indicator refers to a specific indicator a i The proportion of carbon emissions to the carbon footprint of the final product is calculated using the following formula:

[0079]

[0080] Among them, CR i This indicates a certain indicator 'a'. i carbon footprint contribution rate;

[0081] The criteria for determining a high contribution rate are left to the discretion of the decision-maker.

[0082] In step (e), the potential for improvement of the current indicator value relative to the advanced indicator value is calculated according to the following formula:

[0083]

[0084] Where, p i Indicates a i The potential for improvement in the indicators, a i0 Indicates the current indicator value, a i1 Indicates advanced indicator values;

[0085] Technology readiness level is evaluated according to Table A.1 in Appendix A of GB / T 22900-2022, and is divided into 1-9 levels; the method for converting technology readiness level into technology maturity coefficient is as follows:

[0086]

[0087] Among them, t i Indicates that index a i The maturity coefficient of the technology used to achieve advanced performance indicators (TRL) i Indicates the level of technology readiness;

[0088] The average annual rate of return on investment due to increased investment caused by technological upgrades is calculated using the following formula:

[0089]

[0090] Among them, ROI i NP represents the average annual return on investment. i Indicates net income, IC i This indicates the investment cost.

[0091] In step (f), the comprehensive carbon emission factor is calculated using the following formula:

[0092] EF i =EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×EF i-MT (6)

[0093] Among them, EF i Indicates the overall carbon emission factor of the material;

[0094] The potential for improvement in the overall carbon emission factor of the current solution compared to the alternative materials is calculated using the following formula:

[0095]

[0096] Where, q i This indicates the potential for improvement in the overall carbon emission factor, EF. i-A EF represents the overall carbon emission factor of material A in the current scheme. i-B Indicates the overall carbon emission factor of material alternative B;

[0097] The premium of the alternative materials relative to the current materials is calculated using the following formula:

[0098]

[0099] Among them, u i For premium rate, UP i-A UP represents the unit purchase price of material A in the current plan. i-B The unit price of material B as an alternative;

[0100] For the output materials, supplier improvements are not considered.

[0101] In step (g), the carbon reduction improvement potential value per unit consumption, the carbon reduction improvement potential value of the supplier, and the overall carbon reduction improvement potential value are calculated according to the following formulas:

[0102]

[0103] P i =P i-1 +P i-2 (11)

[0104] Among them, P i For indicator a i The comprehensive carbon reduction improvement potential value, P i-1 For indicator a i The potential value for improving carbon reduction per unit consumption, P i-2 For indicator a i Suppliers' potential for carbon reduction improvements;

[0105] Among the multiple indicators that contribute significantly to the carbon footprint of the product, those with greater potential for carbon reduction improvement are selected by sorting them in descending order based on their comprehensive carbon reduction improvement potential value.

[0106] For the output materials, the supplier's improvement potential value is 0.

[0107] In step (h), the carbon reduction achievable by the unit consumption of the indicator and the carbon footprint of the final product output by the improved product system from the supplier is calculated according to the following formula:

[0108] ΔCFP i-1 =CR i ×p i ×CFP (12)

[0109] ΔCFP i-2 =CR i ×q i ×CFP (13)

[0110] ΔCFP i =ΔCFP i-1 +ΔCFP i-2 (14)

[0111] Wherein, ΔCFP i For indicator a i The total carbon reduction achievable by improving both the unit consumption and the supplier's combined output of the product system and the final product's carbon footprint, ΔCFP i-1 For indicator a i The carbon reduction that can be achieved after the improvement of unit consumption, ΔCFP i-2 For indicator a i The amount of carbon reduction that can be achieved after the supplier makes improvements.

[0112] Example:

[0113] Taking the production of galvanized products by steel enterprises as an example, this study analyzes the potential for carbon reduction improvement for specific indicators in specific unit processes of galvanized product production, while also considering the feasibility of the indicators and the selection of material suppliers, to help carbon reduction technicians quickly identify key and feasible carbon reduction indicators.

[0114] The method for analyzing the carbon reduction improvement potential based on product carbon footprint indicators includes the following steps:

[0115] (a) Collect a list of carbon footprint activity data for each unit process in the galvanized product system. This list includes the names of all input and output materials (excluding intermediate products) in all unit processes within the galvanized product system; the unit consumption of input materials for each unit of galvanized product produced, along with their transportation methods and distances; and the unit output of output materials for each unit of galvanized product produced. The transportation methods include road, rail, and sea transport from the cradle to the galvanized product system's gate. The carbon footprint activity data list for galvanized products is shown in Table 1 below.

[0116] Table 1. List of Carbon Footprint Activities for Galvanized Products

[0117]

[0118]

[0119] (b) Match each activity data point with direct carbon emission factors, indirect carbon emission factors, and carbon emission factors for road, rail, and sea transportation. The direct carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases released per unit of material during the product manufacturing process through physicochemical changes; the indirect carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during its upstream manufacturing process; and the carbon dioxide equivalent of greenhouse gases emitted per unit of material during the transportation unit distance by various means of transport from the completion of upstream manufacturing to the product system's gate.

[0120] To save space in the table, the following terms will be used: direct factor, indirect factor, highway factor, railway factor, and maritime factor, as shown in Table 2 below. The unit for direct and indirect factors is kgCO2e / unit. Depending on the type of material, the unit can be kg or m³. 3 Or kW·h; the unit for carbon emission factors of road, rail, and sea transportation is kgCO2e / (kg*km).

[0121] Table 2 Matching carbon emission factors

[0122]

[0123]

[0124] (c) Calculate the carbon footprint of the galvanized products produced by the product system. The carbon footprint of galvanized products is calculated as follows: CFP = ∑ i [a i ×(EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×EF i-MT (1)

[0125] CFP refers to the carbon footprint of the final product produced by the product system.

[0126] Among them, a i This is the activity data of material i corresponding to the unit of final product produced by the product system. It is positive when material i is an input material and negative when material i is an output material.

[0127] Among them, EF i-dir EF is the direct carbon emission factor of material i. i-indFor material i, the indirect carbon emission factor;

[0128] Among them, L i-RD L i-RL L i-MT These represent the road, rail, and sea transport distances for material i, respectively; EF i-RD EF i-RL EF i-MT These are the carbon emission factors for material i via road, rail, and sea transportation, respectively.

[0129] Substituting the data from Tables 1 and 2 into the carbon footprint calculation formula (1), the carbon footprint of producing 1000 kg of galvanized products is calculated to be 2967.4 kg CO2e.

[0130] (d) Calculate the carbon footprint contribution rate of the indicators, sort them in descending order, and select the indicators with the highest contribution rate to the product's carbon footprint. Here, the carbon footprint contribution rate of an indicator refers to the contribution rate of a specific indicator a. i The proportion of carbon emissions to the carbon footprint of the final product is calculated using the following formula (2):

[0131]

[0132] Among them, CR i This indicates a certain indicator 'a'. i The carbon footprint contribution rate, CFP, is taken as 2967.4 in this embodiment.

[0133] The criteria for determining a high contribution rate are left to the discretion of the decision-maker; in this embodiment, it is set to greater than 5%. Table 3 below shows the carbon footprint contribution rates of each indicator, and the indicators with high contribution rates (greater than 5%) selected after sorting in descending order.

[0134] Table 3 lists the indicators in descending order of their carbon footprint contribution rate, along with indicators with higher contribution rates.

[0135]

[0136]

[0137] (e) Collect advanced indicator values ​​corresponding to indicators with high contributions to the product's carbon footprint, and calculate the improvement potential of the current indicator value relative to the advanced indicator value; evaluate the technology readiness level of the new technology required to improve the current indicator value to the advanced indicator value, and convert it into a technology maturity coefficient; simultaneously collect the average annual rate of return on investment due to increased investment caused by technology upgrades. The improvement potential of the current indicator value relative to the advanced indicator value is calculated according to the following formula:

[0138]

[0139] Where, pi Indicates a i The potential for improvement in the indicators, a i0 Indicates the current indicator value, a i1 Indicates advanced indicator values;

[0140] Technology readiness level is evaluated according to Table A.1 in Appendix A of GB / T 22900-2022, and is divided into 1-9 levels; the method for converting technology readiness level into technology maturity coefficient is as follows:

[0141]

[0142] Among them, t i Indicates that index a i The maturity coefficient of the technology used to achieve advanced performance indicators (TRL) i Indicates the level of technology readiness;

[0143] The average annual rate of return on investment due to increased investment caused by technological upgrades is calculated using the following formula:

[0144]

[0145] Among them, ROI i NP represents the average annual return on investment. i Indicates net income, IC i This indicates the investment cost.

[0146] This embodiment a i0 a i1 TRL i ROI i After data collection and substitution into formulas (3), (4), and (5), p i t i The calculation results are shown in Table 4 below.

[0147] Table 4. Unit Consumption Improvement and Technical and Economic Feasibility Parameters

[0148] Serial Number Material Name <![CDATA[CR i ]]> <![CDATA[a i0 ]]> <![CDATA[a i1 ]]> <![CDATA[p i ]]> <![CDATA[TRL i ]]> <![CDATA[t i ]]> <![CDATA[ROI i ]]> 1 Raw material - coking coal 32.3％ 350 330 5.7％ 8 89％ 10％ 2 Energy - Electricity 23.5％ 500 485 3.0％ 9 100％ 5％ 3 Energy - Purchased Coke 20.8％ 138 135 2.2％ 9 100％ 8％ 4 Recycling - Sludge 8.4％ -300 -320 6.7％ 9 100％ 15％ 5 Raw material - iron concentrate 8.4％ 1183 1150 2.8％ 7 78％ 15％ 6 Energy - Natural Gas 5.4％ 100 95 4.6％ 6 67％ 12％

[0149] (f) Collect supplier alternatives for materials corresponding to indicators with high contribution rates to the product's carbon footprint. Calculate the comprehensive carbon emission factor and purchase price of materials in both the current option A and alternative option B. Calculate the potential improvement in the comprehensive carbon emission factor of the current option relative to the alternative materials, and calculate the premium rate of the alternative materials relative to the current option. The comprehensive carbon emission factor is calculated using the following formula:

[0150] EF i =EF i-dir +EF i-ind +L i-RD ×EF i-RD+L i-RL ×EF i-RL +L i-MT ×EF i-MT (6)

[0151] Among them, EF i Indicates the overall carbon emission factor of the material;

[0152] The potential for improvement in the overall carbon emission factor of the current solution compared to the alternative materials is calculated using the following formula:

[0153]

[0154] Where, q i This indicates the potential for improvement in the overall carbon emission factor, EF. i-A EF represents the overall carbon emission factor of material A in the current scheme. i-B Indicates the overall carbon emission factor of material alternative B;

[0155] The premium of the alternative materials relative to the current materials is calculated using the following formula:

[0156]

[0157] Among them, u i For premium rate, UP i-A UP represents the unit purchase price of material A in the current plan. i-B The unit price of material B is the purchase price of alternative option B.

[0158] This embodiment EF i-A EF i-B UP i-A UP i-B After collecting the data and substituting it into formulas (6), (7), and (8), q i u i The calculation results are shown in Table 5 below.

[0159] Table 5 Supplier Improvement and Premium Parameters

[0160] Serial Number Material Name <![CDATA[EF i-A ]]> <![CDATA[EF i-B ]]> <![CDATA[q i ]]> <![CDATA[UP i-A ]]> <![CDATA[UP i-B ]]> <![CDATA[u i ]]> 1 Raw material - coking coal 25.0 24.2 3.1％ 1300 1350 1.04 2 Energy - Electricity 1.4 1.3 6.9％ 0.9 1.2 1.33 3 Energy - Purchased Coke 18.9 17 10.2％ 1800 1900 1.06 4 Recycling - Sludge 0.83 / / / / / 5 Raw material - iron concentrate 65.2 58 11.0％ 800 860 1.08 6 Energy - Natural Gas 1.6 1.4 13.4％ 2.5 2.9 1.16

[0161] (g) Calculate the carbon reduction improvement potential values ​​for each unit consumption and supplier, respectively, for indicators that contribute significantly to the carbon footprint of galvanized products. Then, calculate the overall carbon reduction improvement potential value. Based on the overall carbon reduction improvement potential value, sort the indicators in descending order to identify the most important key carbon reduction indicators. The carbon reduction improvement potential values ​​for each unit consumption, supplier, and overall carbon reduction improvement potential values ​​are calculated using the following formulas:

[0162] P i-1 =CR i ×p i×t i ×ROI i ×10 6 (9)

[0163]

[0164] P i =P i-1 +P i-2 (11)

[0165] Among them, P i For indicator a i The comprehensive carbon reduction improvement potential value, P i-1 For indicator a i The potential value for improving carbon reduction per unit consumption, P i-2 For indicator a i Suppliers' potential for carbon reduction improvements;

[0166] Among the multiple indicators that contribute significantly to the carbon footprint of a product, those with greater potential for carbon reduction improvement are selected by sorting them in descending order based on their comprehensive carbon reduction improvement potential value.

[0167] Substituting the data from Tables 4 and 5 into formulas (9), (10), and (11), the carbon reduction improvement potential values ​​of each indicator are calculated and arranged in descending order as shown in Table 6 below. From this, we can conclude that the indicators with the greatest potential for carbon reduction improvement of the carbon footprint of galvanized products are, in order: raw materials - coking coal, energy - purchased coke, energy - electricity, raw materials - iron concentrate, recycled water slag, and energy - natural gas.

[0168] Table 6. Carbon reduction improvement potential values ​​for each indicator (in descending order)

[0169] Serial Number Material Name <![CDATA[P1]]> <![CDATA[P2]]> P 1 Raw material - coking coal 1639 950 2588 2 Energy - Purchased Coke 362 20051 2367 3 Energy - Electricity 353 1209 1562 4 Raw material - iron concentrate 273 856 1129 5 Recycling - Sludge 842 0 842 6 Energy - Natural Gas 201 624 826

[0170] (h) Calculate the carbon reduction achievable by the indicator unit consumption and the carbon footprint of the galvanized product after the supplier's improvement. The indicator unit consumption and the carbon reduction achievable by the galvanized product after the supplier's improvement are calculated according to the following formula:

[0171] ΔCFP i-1 =CR i ×p i ×CFP (12)

[0172] ΔCFP i-2 =CR i ×q i ×CFP (13)

[0173] ΔCFP i =ΔCFP i-1 +ΔCFP i-2 (14)

[0174] Wherein, ΔCFP i For indicator a i The total carbon reduction achievable by improving both the unit consumption and the supplier's combined output of the product system and the final product's carbon footprint, ΔCFP i-1 For indicator a i The carbon reduction that can be achieved after the improvement of unit consumption, ΔCFP i-2 For indicator a i The amount of carbon reduction that can be achieved after the supplier makes improvements.

[0175] CR in Tables 4 and 5 i p i q i , and CFP=2967.4, substituting into formulas (12), (13), (14), the calculated index unit consumption and the carbon reduction that can be achieved by the supplier's improved galvanized product carbon footprint are shown in Table 7 below.

[0176] Table 7 shows the carbon reduction achievable by each indicator for galvanized products (kg CO2e / 1000kg galvanized products).

[0177] Serial Number Material Name <![CDATA[ΔCFP i-1 ]]> <![CDATA[ΔCFP i-2 ]]> <![CDATA[ΔCFP i ]]> 1 Raw material - coking coal 54.7 29.3 84.0 2 Energy - Purchased Coke 20.9 47.8 68.8 3 Energy - Electricity 13.4 62.8 76.2 4 Raw material - iron concentrate 16.7 0.0 16.7 5 Recycling - Sludge 6.9 27.3 34.3 6 Energy - Natural Gas 7.5 21.5 29.0

[0178] The embodiments described above are merely preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Any modifications, alterations, substitutions, or variations made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention shall fall within the protection scope defined by the claims of the present invention.

Claims

1. A method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint, characterized in that... Includes the following steps: (a) Collect a list of product carbon footprint unit process activities; (b) Match each activity data point with direct carbon emission factors, indirect carbon emission factors, and carbon emission factors for road, rail, and sea transport; (c) Calculate the carbon footprint of the final product produced by the product system; (d) Calculate the carbon footprint contribution rate of the indicators, sort them in descending order, and screen out the indicators with higher contribution rates to the carbon footprint of the product. (e) Collect advanced indicator values ​​corresponding to indicators that contribute significantly to the carbon footprint of products, and calculate the improvement potential of the current indicator value relative to the advanced indicator value; evaluate the technology readiness level of the new technology required to improve the current indicator value to the advanced indicator value, and convert it into a technology maturity coefficient. Simultaneously collect the average annual rate of return on investment for increased investments due to technological upgrades; (f) Collect supplier alternatives for materials corresponding to indicators that contribute significantly to the carbon footprint of the product, calculate the comprehensive carbon emission factor and purchase price of materials in the current option A and alternative option B respectively, calculate the improvement space of the comprehensive carbon emission factor of the current option relative to the alternative option, and calculate the premium rate of the alternative option relative to the current option. (g) Calculate the carbon reduction improvement potential value of the single consumption and the carbon reduction improvement potential value of the supplier for the indicators that have a high contribution rate to the carbon footprint of the product, and calculate the comprehensive carbon reduction improvement potential value. Based on the comprehensive carbon reduction improvement potential value, sort them in descending order to select the most important key carbon reduction indicators. (h) Calculate the carbon reduction that can be achieved by the carbon footprint of the final product output of the product system after the supplier's improvement, based on the unit consumption of the calculated index.

2. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (a), the product carbon footprint unit process activity data list includes the names of all input and output materials except intermediate products in all unit processes of the entire product system, as well as the unit consumption of input materials when the product system produces a unit of final product, the transportation methods and transportation distances they experience, and the unit output of output materials when the product system produces a unit of final product. The transportation methods that materials undergo include road, rail and sea transport from cradle to the product system entering the factory gate.

3. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (b), the direct carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases released per unit of material during the product manufacturing process through physicochemical changes; the indirect carbon emission factor refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during its upstream manufacturing process; and the carbon emission factor for road, rail, and sea transportation refers to the carbon dioxide equivalent of greenhouse gases emitted per unit of material during the transportation unit distance between the completion of upstream manufacturing and the arrival at the gate of the product system.

4. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (c), the carbon footprint of the final product produced by the product system is calculated as follows: CFP = ∑ i [a i ×(EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×EF i-MT )]; (1) CFP refers to the carbon footprint of the final product produced by the product system. a i This is the activity data of material i corresponding to the unit of final product produced by the product system. It is positive when material i is an input material and negative when material i is an output material. EF i-dir EF is the direct carbon emission factor of material i. i-ind For material i, the indirect carbon emission factor; L i-RD L i-RL and L i-MT These represent the road, rail, and sea transport distances for material i, respectively; EF i-RD EF i-RL and EF i-MT These are the carbon emission factors for material i via road, rail, and sea transportation, respectively.

5. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (d), the indicator can be understood as the level of control that an enterprise has over the quantity of a certain material i in a certain unit process of the product system and its supplier information, including the direct carbon emission factor, indirect carbon emission factor, transportation method and transportation distance of material i. The carbon footprint contribution rate of an indicator refers to a specific indicator a i The proportion of carbon emissions to the carbon footprint of the final product is calculated using the following formula: Among them, CR i This indicates a certain indicator 'a'. i carbon footprint contribution rate; The criteria for determining a high contribution rate are left to the discretion of the decision-maker.

6. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (e), the potential for improvement of the current indicator value relative to the advanced indicator value is calculated according to the following formula: Where, p i Indicates a i The potential for improvement in the indicators, a i0 Indicates the current indicator value, a i1 Indicates advanced indicator values; Technology readiness level is evaluated according to Table A.1 in Appendix A of GB / T 22900-2022, and is divided into 1-9 levels; the method for converting technology readiness level into technology maturity coefficient is as follows: Among them, t i Indicates that index a i The maturity coefficient of the technology used to achieve advanced performance indicators (TRL) i Indicates the level of technology readiness; The average annual rate of return on investment due to increased investment caused by technological upgrades is calculated using the following formula: Among them, ROI i NP represents the average annual return on investment. i Indicates net income, IC i This indicates the investment cost.

7. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (f), the comprehensive carbon emission factor is calculated using the following formula: EF i =EF i-dir +EF i-ind +L i-RD ×EF i-RD +L i-RL ×EF i-RL +L i-MT ×EF i-MT ; (6) Among them, EF i Indicates the overall carbon emission factor of the material; The potential for improvement in the overall carbon emission factor of the current solution compared to the alternative materials is calculated using the following formula: Where, q i This indicates the potential for improvement in the overall carbon emission factor, EF. i-A EF represents the overall carbon emission factor of material A in the current scheme. i-B Indicates the overall carbon emission factor of material alternative B; The premium of the alternative materials relative to the current materials is calculated using the following formula: Among them, u i For premium rate, UP i-A UP represents the unit purchase price of material A in the current plan. i-B The unit price of material B as an alternative; For the output materials, supplier improvements are not considered.

8. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (g), the carbon reduction improvement potential value per unit consumption, the carbon reduction improvement potential value of the supplier, and the overall carbon reduction improvement potential value are calculated according to the following formulas: P i-1 =CR i ×p i ×t i ×ROI i ×10 6 (9) P i =P i-1 +P i-2 (11) Among them, P i For indicator a i The comprehensive carbon reduction improvement potential value, P i-1 For indicator a i The potential value for improving carbon reduction per unit consumption, P i-2 For indicator a i Suppliers' potential for carbon reduction improvements; Among the multiple indicators that contribute significantly to the carbon footprint of the product, those with greater potential for carbon reduction improvement are selected by sorting them in descending order based on their comprehensive carbon reduction improvement potential value. For the output materials, the supplier's improvement potential value is 0.

9. The method for analyzing the carbon reduction improvement potential of indicators based on product carbon footprint according to claim 1, characterized in that: In step (h), the carbon reduction achievable by the unit consumption of the indicator and the carbon footprint of the final product output by the improved product system from the supplier is calculated according to the following formula: ΔCFP i-1 =CR i ×p i ×CFP (12) ΔCFP i-2 =CR i ×q i ×CFP (13) ΔCFP i =ΔCFP i-1 +ΔCFP i-2 (14) Wherein, ΔCFP i For indicator a i The total carbon reduction achievable by improving both the unit consumption and the supplier's combined output of the product system and the final product's carbon footprint, ΔCFP i-1 For indicator a i The carbon reduction that can be achieved after the improvement of unit consumption, ΔCFP i-2 For indicator a i The amount of carbon reduction that can be achieved after the supplier makes improvements.

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