A digital steel coil-based full life cycle product carbon footprint calculation method
Patent Information
- Application Number
- CN202510228558.3
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-02-28
- Publication Date
- 2026-08-28
AI Technical Summary
由于生产流程长、涉及碳排放的数据项众多,且各阶段的碳排放之间存在相互影响,因此钢铁产品碳足迹计算相对复杂
[0046] 1. By modeling the carbon emissions at each stage of the steel product production process, the problem of difficulty in carbon footprint modeling and computational complexity caused by the long production process and numerous data items related to carbon emissions in steel products is solved.
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Figure CN122656099A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of steel coil production, and in particular to a method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils. Background Technology
[0002] Currently, the carbon footprint of steel products typically includes two emission sources: direct emissions and indirect emissions. Direct emissions refer to carbon dioxide emissions directly generated during steel production, such as emissions from burning energy sources like coal gas, and are usually calculated using emission factors for direct carbon emission sources. Indirect emissions refer to emissions related to steel production activities but not directly generated by them, such as carbon dioxide emissions generated during the upstream mining, production, and transportation of raw materials and energy, and are generally calculated using emission factors for indirect carbon emissions. Life Cycle Assessment (LCA) is a method used to assess the environmental impact of a product, service, or activity throughout its entire life cycle. It covers the entire process from raw material acquisition, production, use, maintenance, recycling to final disposal, aiming to help decision-makers identify and understand the environmental burden of products or services throughout their life cycle, thereby adopting more environmentally friendly and sustainable production and consumption practices.
[0003] The publicly available patent document, publication number CN118229148A, discloses a method for calculating the carbon footprint of steel products, including the following steps: collecting data related to steel products at different stages throughout their life cycle; calculating the carbon emissions of steel products based on the collected data; calculating the comprehensive carbon footprint of steel products by considering the carbon emission weights at different life cycle stages; and evaluating the carbon footprint of steel products using unified standards and indicators, wherein the unified standards and indicators include the applicability of international carbon footprint calculation guidelines, compliance with relevant laws and policies, and conformity with industry standards.
[0004] Digital steel coils are a collection of data attached to and related to physical steel coils. They record key information such as basic details, production processes, and material consumption data for each coil, facilitating sharing and retrieval across the industry chain. By integrating equipment data, operation records, energy consumption data, defect data, process data, cost data, and user information into a unified data platform, digital steel coil products achieve "full-process visualization" and "digitalization."
[0005] The production process of steel enterprises typically includes multiple stages such as ironmaking, steelmaking, and rolling. Each stage involves numerous units, and each unit generates corresponding carbon emissions. Besides the direct and indirect carbon emissions from raw materials, auxiliary materials, and energy, by-products, finished products, and solid waste offset some of the carbon emissions. Due to the long production process, the numerous data items related to carbon emissions, and the interrelationships between carbon emissions at different stages, calculating the carbon footprint of steel products is relatively complex.
[0006] This invention proposes a method for calculating the carbon footprint of steel coils throughout their entire lifecycle. Therefore, it is necessary to improve upon this method to overcome the aforementioned shortcomings. Summary of the Invention
[0007] The purpose of this invention is to provide a method for calculating the carbon footprint of a product throughout its entire life cycle based on digital steel coils. By using the LCA evaluation method in conjunction with various key information such as the basic information of digital steel coils, production processes, material consumption, energy consumption, and recycling data, carbon emissions of each unit and each material can be calculated to meet the needs of refined carbon emission management.
[0008] The above-mentioned technical objective of this invention has been achieved by the following technical solutions:
[0009] A method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils includes the following steps:
[0010] A1: Determine the system boundaries of the carbon footprint throughout the entire lifecycle of digital steel coils and collect activity data;
[0011] A2: Based on the actual production process and material consumption data of digital steel coils, determine the direct and indirect carbon emission sources at each stage;
[0012] A3: Identify and collect the direct carbon emission source factors and indirect carbon emission factors in each stage;
[0013] A4: Using the emission factors of direct carbon emission sources and the emission factors of indirect carbon emission sources, construct carbon emission calculation models for each stage, and derive partial carbon emissions for each stage, as well as the corresponding carbon load types.
[0014] A5: Utilizing the production process path of digital steel coils, it iterates step by step from the initial stage, transferring the carbon emissions of the previous stage to the material input of the next stage, obtaining the cumulative carbon emissions of each stage until the final stage of producing steel coil products.
[0015] A6: Obtain the life cycle carbon footprint of digital steel coils using carbon emission calculation models at each stage.
[0016] Step A1 specifically includes the following steps:
[0017] A11: Determining the system boundary. In the field of life cycle assessment, the system boundary step determines the scope and depth of the assessment. By defining the life cycle of digital steel coils, we follow the system boundary of carbon emissions generated from resource extraction, processing, manufacturing to product delivery. Specifically, this includes the environmental carbon emissions from the extraction of purchased raw materials and energy, the transportation of purchased raw materials and energy both inside and outside the plant, the carbon emissions during the steel coil production stage, and the carbon emissions offset by the reuse of by-products sold outside the system.
[0018] A12: Collect activity data. Based on the system boundary determined in step A11, collect activity data during the production process of digital Hong Kong-style steel coils. The activity data includes the input of raw materials and auxiliary materials, energy consumption, output of products and by-products, and transportation methods and distances of purchased materials at each stage of steel coil production.
[0019] A13: Calculate the unit consumption. Calculate the unit consumption of raw materials, auxiliary materials, and energy at each stage. The formula is as follows:
[0020]
[0021] Step A2 specifically includes the following steps:
[0022] A21: Classify actual material consumption data according to emission type to determine direct and indirect emission sources;
[0023] Direct emission sources refer to carbon emissions directly generated during the steel production process, such as greenhouse gas emissions from burning energy sources like coal gas, and emissions from chemical reactions that produce quicklime.
[0024] Indirect emission sources refer to emissions that are related to steel production activities but are not directly generated, such as greenhouse gas emissions generated during the upstream mining, production and transportation of raw materials and energy. The activity data collected in step A1 are divided into two types of emissions to determine direct emission sources and indirect emission sources.
[0025] Step A3 specifically includes the following steps:
[0026] A31: Based on the emission types classified in step A2, determine and collect the emission factors of direct carbon emissions and indirect carbon emissions in each stage. By identifying the direct and indirect emission sources, collect the direct and indirect emission factors of the corresponding materials.
[0027] The direct emission factor is the amount of greenhouse gas emissions generated per unit of consumption of the material during the production process, including carbon monoxide, carbon dioxide, methane, etc. The indirect carbon emission factor is the amount of greenhouse gas emissions generated per unit of raw materials and energy during upstream mining, production and transportation.
[0028] Step A4 specifically includes the following steps:
[0029] A41: Carbon emission models for each stage of a component. Based on the process path, the carbon emission calculation models for each stage of the component are included.
[0030] The process is divided into stages according to the technological path. The products produced in the previous stage will be used as raw materials in the next stage of the process. The process of each stage is expressed through a sequential relationship.
[0031] A42: Calculate the partial carbon emissions for each stage. Based on the process activity level data collected in step A1, obtain the material input-output data and unit consumption data. Combined with the carbon emission types classified in step A2 and the carbon emission factors collected in step A3, calculate the direct and indirect carbon emissions for each stage. The calculation formula is as follows:
[0032] Carbon emissions = material consumption per unit × emission factor.
[0033] A43: Classify carbon load types to determine the proportion of carbon emissions inside and outside the plant. Direct and indirect carbon emissions are classified into inside and outside loads based on material properties.
[0034] The plant load includes direct emissions and by-product direct emissions. Direct emissions refer to the direct emissions at each stage of the plant's production process, while by-product direct emissions refer to the load of by-products produced in the plant as raw materials used as external loads.
[0035] External loads include indirect emissions from purchased materials, transportation loads from purchased materials, and by-product offset loads. Indirect emissions from purchased materials refer to the loads from the input of purchased materials and energy as raw materials. Transportation loads from purchased materials refer to the loads generated during the transportation of purchased materials outside the plant. By-product offset loads refer to the loads from the reuse of by-products within the plant and the offset loads from sales to other manufacturers. Through the above classification, carbon load types are categorized to determine the proportion of carbon emissions within and outside the plant at each stage.
[0036] Step A5 specifically includes the following steps:
[0037] A51: In the initial stage of the search, calculate the carbon load, search the source process of steel coil production, usually the converter, calculate the carbon load according to the method in step A4, and divide it into different types, summarizing it into in-plant and out-of-plant carbon loads;
[0038] A52: Retrieve the next stage, calculate the carbon load of this stage, and proceed to the next stage of steel coil production according to the process path. Calculate the carbon load of this stage using the same method as in step A51.
[0039] A53: Carry forward the carbon load from the previous stage to the current stage to obtain the cumulative carbon emissions for the current stage. By examining the carbon load of the previous stage's production process through the process path, multiply it by the unit consumption of the previous stage's product in the current stage to obtain the carbon load of the previous stage's product in the current stage. The specific formula is as follows:
[0040] Carbon emissions from the previous stage = carbon load from the previous stage × unit consumption of the product from the previous stage in this stage.
[0041] According to the above formula, the carbon load from the previous stage is carried over to the current stage and summed with the carbon load generated in the current stage to obtain the cumulative carbon load value from steel coil production to the current stage.
[0042] A54: Iterate to the end stage, repeat steps A52 and A53 to obtain the cumulative carbon emissions for each stage and the ratio of emissions inside and outside the plant, until the end stage of steel coil production.
[0043] Step A6 specifically includes the following steps:
[0044] According to the process path, the production of digital steel coils was analyzed, from the molten steel produced in the source production process to the intermediate products at each stage, and finally to the steel coils produced. The direct / indirect carbon emissions and cumulative carbon load at each stage were obtained. The carbon load was classified into in-plant load and out-of-plant load, thereby obtaining the carbon footprint of digital steel coils throughout their entire life cycle.
[0045] In summary, the present invention has the following beneficial effects:
[0046] 1. By modeling the carbon emissions at each stage of the steel product production process, the problem of difficulty in carbon footprint modeling and computational complexity caused by the long production process and numerous data items related to carbon emissions in steel products is solved.
[0047] 2. By using the LCA evaluation method in conjunction with various key data such as basic information of digital steel coils, production process, material consumption, energy consumption, and recycling data, carbon emissions of each unit and each material are calculated to meet the needs of refined carbon emission management.
[0048] 3. Comprehensiveness: This method takes a holistic approach to the entire lifecycle of digital steel coils, covering all stages from raw material acquisition, production, processing to final disposal, ensuring the comprehensiveness and accuracy of carbon footprint calculations. This comprehensiveness helps companies identify carbon emission hotspots throughout the supply chain, thereby enabling them to develop more effective emission reduction strategies.
[0049] 4. Accuracy: By accurately identifying direct and indirect carbon emission sources and collecting corresponding emission factor data, this method can precisely calculate carbon emissions at each stage. This accuracy helps companies more accurately assess their environmental impact and provides a scientific basis for setting emission reduction targets.
[0050] 5. Dynamism: This method utilizes the digital steel coil production process path for step-by-step iteration, dynamically reflecting the cumulative carbon emissions of products at different stages. This dynamism helps companies track carbon emissions in real time and adjust production processes and emission reduction measures accordingly.
[0051] 6. Digitalization: Based on the data foundation of digital steel coils, this method achieves the digitalization and automation of carbon emission calculations. This improves computational efficiency, reduces human error, and provides enterprises with a more convenient and efficient carbon footprint management tool. Attached Figure Description
[0052] Figure 1 This is a process flow diagram of the digital steel coil production process of the present invention.
[0053] Figure 2 This is a flowchart illustrating the input-output relationship of the steel coil production process according to the present invention.
[0054] Figure 3 This is a tree-like flowchart of the process path for the steel coil production process of this invention.
[0055] Figure 4 This is a flowchart for constructing a carbon footprint model for digital steel coil products. Detailed Implementation
[0056] To make the technical means, creative features, objectives and effects of this invention easier to understand, the invention will be further described below with reference to the figures and specific embodiments.
[0057] like Figure 1 As shown, the present invention proposes a method for calculating the carbon footprint of a product throughout its entire life cycle based on digital steel coils, comprising the following steps:
[0058] A1: Determine the system boundaries of the carbon footprint throughout the entire lifecycle of digital steel coils and collect activity data;
[0059] From a life-cycle perspective, a clear calculation scope should be defined to ensure the comprehensiveness and accuracy of carbon footprint calculations.
[0060] A2: Based on the actual production process and material consumption data of digital steel coils, determine the direct and indirect carbon emission sources at each stage;
[0061] Accurately identifying carbon emission sources, considering both direct and indirect sources, ensures the accuracy of calculations and provides a foundation for the construction of subsequent carbon emission calculation models.
[0062] A3: Identify and collect the direct carbon emission source factors and indirect carbon emission factors for each stage;
[0063] It provides accurate emission factor data, offering key parameters for carbon emission calculation models and supporting subsequent calculations.
[0064] A4: Using the emission factors of direct carbon emission sources and the emission factors of indirect carbon emission sources, construct carbon emission calculation models for each stage, and derive partial carbon emissions for each stage, as well as the corresponding carbon load types.
[0065] A5: Utilizing the production process path of digital steel coils, it iterates step by step from the initial stage, transferring the carbon emissions of the previous stage to the material input of the next stage, obtaining the cumulative carbon emissions of each stage until the final stage of producing steel coil products.
[0066] A6: Obtain the lifecycle carbon footprint of digital steel coils using carbon emission calculation models at each stage.
[0067] Step A1 defines the system boundaries based on the actual production process, material consumption, and energy usage of digital steel coils, providing fundamental data and scope for subsequent steps. This includes the following steps:
[0068] A11: Determining the system boundary. In the field of Life Cycle Assessment (LCA), the system boundary step determines the scope and depth of the assessment. By defining the life cycle of digital steel coils, we follow the system boundary of carbon emissions (cradle to gate) generated from resource extraction, processing, manufacturing to product manufacturing and delivery, as outlined in the International Organization for Standardization's Life Cycle Assessment standard ISO 14040:2006 "Environmental Management Life Cycle Assessment Principles and Framework". Specifically, this includes the environmental carbon emissions from the extraction of purchased raw materials and energy (upstream stage), the environmental carbon emissions during the transportation of purchased raw materials and energy outside and inside the plant, the carbon emissions during the steel coil production stage, and the carbon emissions offset by the reuse of by-products sold outside the system.
[0069] A12: Collect activity data. Based on the system boundary determined in step A11, collect activity data during the production process of digital Hong Kong-style steel coils. The activity data includes the input of raw materials and auxiliary materials, energy consumption, output of products and by-products, and transportation methods and distances of purchased materials at each stage of steel coil production.
[0070] A13: Calculate the unit consumption. Calculate the unit consumption of raw materials, auxiliary materials, and energy at each stage. The formula is as follows:
[0071]
[0072] Step A2, based on the production process and material consumption of digital steel coils, identifies the sources of carbon emissions, providing the necessary emission sources for carbon emission calculations. This includes the following steps:
[0073] A21: Classify actual material consumption data according to emission type to determine direct and indirect emission sources;
[0074] Direct emission sources refer to carbon emissions directly generated during the steel production process, such as greenhouse gas emissions from burning energy sources like coal gas, and emissions from chemical reactions that produce quicklime.
[0075] Indirect emission sources refer to emissions that are related to steel production activities but are not directly generated, such as greenhouse gas emissions generated during the upstream mining, production and transportation of raw materials and energy. The activity data collected in step A1 are divided into two types of emissions to determine direct emission sources and indirect emission sources.
[0076] Step A3 collects emission factors to provide necessary parameter support for subsequent carbon emission calculations, specifically including the following steps:
[0077] A31: Based on the emission types classified in step A2, determine and collect the emission factors of direct carbon emissions and indirect carbon emissions in each stage. By identifying the direct and indirect emission sources, collect the direct and indirect emission factors of the corresponding materials.
[0078] The direct emission factor is the greenhouse gas emissions generated per unit of consumption of the material during the production process (e.g., the greenhouse gas emissions generated by burning 1 kg of coal), including carbon monoxide, carbon dioxide, methane, etc., expressed in carbon dioxide equivalents (kgCO2eq / kg). The indirect carbon emission factor is the greenhouse gas emissions generated per unit of raw materials and energy during upstream extraction, production, and transportation, also expressed in carbon dioxide equivalents.
[0079] Step A4 involves constructing a carbon emission calculation model, combining emission factors with activity data, to calculate the carbon emissions at each stage. This includes the following steps:
[0080] A41: Carbon emission models for each stage of a component. Based on the process path, the carbon emission calculation models for each stage of the component are included.
[0081] The process is divided into stages according to the technological path. The products produced in the previous stage will be used as raw materials in the next stage of the process. The process of each stage is expressed through a sequential relationship.
[0082] A42: Calculate the partial carbon emissions for each stage. Based on the process activity level data collected in step A1, obtain the material input-output data and unit consumption data. Combined with the carbon emission types classified in step A2 and the carbon emission factors collected in step A3, calculate the direct and indirect carbon emissions for each stage. The calculation formula is as follows:
[0083] Carbon emissions = material consumption per unit × emission factor.
[0084] A43: Classify carbon load types to determine the proportion of carbon emissions inside and outside the plant. Direct and indirect carbon emissions are classified into inside and outside loads based on material properties.
[0085] The plant load includes direct emissions and by-product direct emissions. Direct emissions refer to the direct emissions at each stage of the plant's production process, while by-product direct emissions refer to the load of by-products produced in the plant as raw materials used as external loads.
[0086] External loads include indirect emissions from purchased materials, transportation loads from purchased materials, and by-product offset loads. Indirect emissions from purchased materials refer to the loads from the input of purchased materials and energy as raw materials. Transportation loads from purchased materials refer to the loads generated during the transportation of purchased materials outside the plant. By-product offset loads refer to the loads from the reuse of by-products within the plant and the offset loads from sales to other manufacturers. Through the above classification, carbon load types are categorized to determine the proportion of carbon emissions within and outside the plant at each stage.
[0087] Step A5 considers the material flow and cumulative carbon emission effects during the production process. Through iterative calculations, the carbon emissions at each stage are summed to obtain the cumulative carbon emissions of the final product. This includes the following steps:
[0088] A51: In the initial stage of the search, calculate the carbon load, search the source process of steel coil production, usually the converter, calculate the carbon load according to the method in step A4, and divide it into different types, summarizing it into in-plant and out-of-plant carbon loads;
[0089] A52: Retrieve the next stage, calculate the carbon load of this stage, and proceed to the next stage of steel coil production according to the process path. Calculate the carbon load of this stage using the same method as in step A51.
[0090] A53: Carry forward the carbon load from the previous stage to the current stage to obtain the cumulative carbon emissions for the current stage. By examining the carbon load of the previous stage's production process through the process path, multiply it by the unit consumption of the previous stage's product in the current stage to obtain the carbon load of the previous stage's product in the current stage. The specific formula is as follows:
[0091] Carbon emissions from the previous stage = carbon load from the previous stage × unit consumption of the product from the previous stage in this stage.
[0092] According to the above formula, the carbon load from the previous stage is carried over to the current stage and summed with the carbon load generated in the current stage to obtain the cumulative carbon load value from steel coil production to the current stage.
[0093] A54: Iterate to the end stage, repeat steps A52 and A53 to obtain the cumulative carbon emissions for each stage and the ratio of emissions inside and outside the plant, until the end stage of steel coil production.
[0094] Step A6, based on the calculation results of the previous steps, summarizes and analyzes the data to determine the lifecycle carbon footprint of the digital steel coil, specifically including the following steps:
[0095] According to the process path, the production of digital steel coils was analyzed, from the molten steel produced in the source production process to the intermediate products at each stage, and finally to the steel coils produced. The direct / indirect carbon emissions and cumulative carbon load at each stage were obtained. The carbon load was classified into in-plant load and out-of-plant load, thereby obtaining the carbon footprint of digital steel coils throughout their entire life cycle.
[0096] Example 1
[0097] In this embodiment, the system boundary is first determined by defining the life cycle of digital steel coils in accordance with the International Organization for Standardization's life cycle assessment standard ISO 14040:2006 "Principles and framework for environmental management life cycle assessment", which defines the system boundary of carbon emissions generated from resource extraction, processing, manufacturing to product manufacturing and delivery.
[0098] Next, activity data is collected. Based on the defined system boundaries, activity data in the digital Hong Kong drama steel coil production process is collected; unit consumption is calculated, including the unit consumption of raw materials, auxiliary materials, and energy at each stage.
[0099] The actual material consumption data is classified according to the emission type to determine the direct and indirect emission sources; the collected activity data is divided according to the two emission types to determine the direct and indirect emission sources.
[0100] By classifying emission types, the emission factors of direct carbon emissions and indirect carbon emissions in each stage are determined and collected. By identifying direct and indirect emission sources, the direct and indirect emission factors of corresponding materials are collected.
[0101] A carbon emission calculation model is constructed, combining emission factors with activity data to calculate the carbon emissions at each stage. The process is divided into stages according to the technological path, with the product from the previous stage serving as raw material for the next stage. The processes at each stage are represented by a sequential relationship. Taking the coke oven, sintering, and blast furnace processes as an example, their input-output relationship is shown in the flowchart. Figure 2 As shown, based on the input-output relationship, the above-mentioned components are divided into six stages, which conforms to the general process of coal producing coke from coke ovens to supply the sintering and blast furnace processes, and sintering producing sintered ore to supply the blast furnace process. According to the flowchart, upstream carbon emissions are transferred to downstream processes step by step according to the input-output relationship (indicated by arrows), accumulating in the intermediate products of each stage (such as coal, coke, sintered ore, molten iron, molten steel, hot-rolled coils, cold-rolled coils, etc.), until the final digital steel coil product is produced.
[0102] like Figure 3 As shown, the material flow sequence and input-output relationship are determined based on the kinship code suffix, thereby further obtaining the stump flow diagram of the process path and the stages corresponding to different units. The reference data is shown in the table below:
[0103] stage Family Code Unit code Unit Name Material number 1 01 S002 Continuous casting 1420200 2 0101 H032 Hot rolling 1286800 3 010101 C202 Pickling 1421300 4 01010101 C212 Continuous annealing 1424200 5 0101010101 C204 Cold rolling 1425200 6 010101010101 C117 Tin plating 1428201 6 010101010102 C217 Electro-galvanizing 1428202
[0104] Calculate partial carbon emissions at each stage. Based on the collected process activity level data, obtain the input and output data and unit consumption data of materials. Combine the classified carbon emission types and the collected carbon emission factors to calculate the direct and indirect carbon emissions at each stage.
[0105] The carbon emission calculation method is as follows:
[0106] Carbon emissions = material consumption per unit × emission factor.
[0107] The calculation method for material unit consumption is as follows:
[0108]
[0109] The calculation method for carbon emissions of process products is as follows: Cumulative carbon emissions of this process = Direct carbon emissions of this process + Emission factor of upstream process products × Unit consumption of upstream process products.
[0110] Taking the blast furnace to converter process as an example, the details are shown in the table below:
[0111] Process Name converter Direct load of this process (tCO2eq / t) 1.1 Products in this process Molten steel Output (t) of this process 9000 Upstream processes blast furnace Upstream products blast furnace molten iron Upstream product usage (t) 10000 Upstream direct load (tCO2eq / t) 0.172
[0112] The converter's consumption of molten iron from the blast furnace is 10,000 tons / 9,000 tons = 0.9, while the direct load of the converter's molten steel products is: cumulative direct emissions of this process = direct emissions of this process + direct emission factor of upstream products × unit consumption of upstream products = 1.1 + 0.172 × 0.9 = 1.2548.
[0113] like Figure 4 As shown, a carbon footprint model for digital steel coil products was constructed by collecting the following activity level data. Then, carbon load types were categorized to determine the proportion of on-site and off-site carbon emissions. Direct and indirect carbon emission types were then classified according to material properties to obtain a carbon footprint model encompassing five carbon load types.
[0114] This invention utilizes various key data such as basic information of digital steel coils, production processes, material consumption, energy consumption, and recycling data to first calculate the carbon emissions of each unit. Then, the carbon emissions of each unit are transferred to the corresponding raw materials, auxiliary materials, or energy using production process information. Finally, the transferred carbon emissions are summed up to obtain the carbon footprint of the digital steel coil.
[0115] By conducting digital steel coil carbon footprint calculations, this invention can obtain the distribution of carbon emissions from each unit and each material in the digital steel coil carbon footprint, which helps enterprises optimize production processes and material input structures to formulate effective carbon reduction plans.
[0116] In the description of this invention, it should be noted that the terms "upper," "lower," "inner," "outer," "left," and "right," etc., indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings, or the orientation or positional relationship commonly used when the product of this invention is in use, or the orientation or positional relationship commonly understood by those skilled in the art. These terms are used only for the convenience of describing this invention and for simplifying the description, and do not indicate or imply that the device or element referred to must have a specific orientation, or be constructed and operated in a specific orientation. Therefore, they should not be construed as limitations on this invention. Furthermore, the terms "first," "second," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance. In the description of this invention, it should also be noted that, unless otherwise explicitly specified and limited, terms such as "set" and "connect" should be interpreted broadly. For example, "connection" can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium; it can be a connection within two components. Those skilled in the art can understand the specific meaning of the above terms in this invention according to the specific circumstances. In this document, the terms “comprising,” “including,” or any other variations thereof are intended to cover non-exclusive inclusion, which includes not only the elements listed but also other elements not expressly listed.
[0117] The foregoing has shown and described the basic principles, main features, and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments. The embodiments and descriptions in the specification are merely illustrative of the principles of the invention. Various changes and modifications can be made to the invention without departing from its spirit and scope, and all such changes and modifications fall within the scope of the present invention as claimed. The scope of protection of this invention is defined by the appended claims and their equivalents.
Claims
1. A method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils, characterized in that, Includes the following steps: A1: Determine the system boundaries of the carbon footprint throughout the entire lifecycle of digital steel coils and collect activity data; A2: Based on the actual production process and material consumption data of digital steel coils, determine the direct and indirect carbon emission sources at each stage; A3: Identify and collect the direct carbon emission source factors and indirect carbon emission factors in each stage; A4: Using the emission factors of direct carbon emission sources and the emission factors of indirect carbon emission sources, construct carbon emission calculation models for each stage, and derive partial carbon emissions for each stage, as well as the corresponding carbon load types. A5: Utilizing the production process path of digital steel coils, it iterates step by step from the initial stage, transferring the carbon emissions of the previous stage to the material input of the next stage, obtaining the cumulative carbon emissions of each stage until the final stage of producing steel coil products. A6: Obtain the life cycle carbon footprint of digital steel coils using carbon emission calculation models at each stage.
2. The method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils according to claim 1, characterized in that, Step A1 specifically includes the following steps: A11: Define the system boundary by defining the life cycle of digital steel coils, following the system boundary of carbon emissions generated from resource extraction, processing, manufacturing to product delivery; Specifically, this includes the environmental carbon emissions from the purchase of raw materials and energy extraction, the transportation of purchased raw materials and energy both inside and outside the plant, the carbon emissions during the steel coil production stage, and the carbon emissions offset by the reuse of by-products sold outside the system. A12: Collect activity data. Based on the system boundary determined in step A11, collect activity data during the production process of digital Hong Kong drama steel coils. The activity data includes the input of raw materials and auxiliary materials, energy consumption, output of products and by-products, and transportation methods and distances of purchased materials at each stage of steel coil production. A13: Calculate the unit consumption. Calculate the unit consumption of raw materials, auxiliary materials, and energy at each stage. The calculation formula is as follows:
3. The method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils according to claim 1, characterized in that, Step A2 specifically includes the following steps: A21: Classify actual material consumption data according to emission type to determine direct and indirect emission sources; Direct emission sources refer to carbon emissions directly generated during the steel production process, such as greenhouse gas emissions from burning energy sources like coal gas, and emissions from chemical reactions that produce quicklime. Indirect emission sources refer to emissions that are related to steel production activities but are not directly generated, such as greenhouse gas emissions generated during the upstream mining, production and transportation of raw materials and energy. The activity data collected in step A1 are divided into two types of emissions to determine direct emission sources and indirect emission sources.
4. The method for calculating the carbon footprint of a product throughout its entire life cycle based on digital steel coils according to claim 1, characterized in that, Step A3 specifically includes the following steps: A31: Based on the emission types classified in step A2, determine and collect the emission factors of direct carbon emissions and indirect carbon emissions in each stage. By identifying the direct and indirect emission sources, collect the direct and indirect emission factors of the corresponding materials. The direct emission factor is the amount of greenhouse gas emissions generated per unit of material consumed during the production process; the indirect carbon emission factor is the amount of greenhouse gas emissions generated per unit of raw materials and energy during upstream mining, production and transportation.
5. The method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils according to claim 1, characterized in that, Step A4 specifically includes the following steps: A41: Carbon emission models for each stage of a component, based on the process path, including carbon emission calculation models for each stage of the component's operation; The process is divided into stages according to the technological path. The product produced in the previous stage will be used as raw material in the next stage of the process. The process of each stage is expressed through the sequential relationship. A42: Calculate the partial carbon emissions for each stage. Based on the process activity level data collected in step A1, obtain the material input-output data and unit consumption data. Combined with the carbon emission types classified in step A2 and the carbon emission factors collected in step A3, calculate the direct and indirect carbon emissions for each stage. The calculation formula is as follows: Carbon emissions = material consumption per unit × emission factor; A43: Classify carbon load types to determine the proportion of carbon emissions inside and outside the plant. Direct and indirect carbon emissions are classified into inside and outside loads based on material properties.
6. The method for calculating the carbon footprint of a product throughout its entire lifecycle based on digital steel coils according to claim 1, characterized in that, Step A5 specifically includes the following steps: A51: In the initial stage of the search, calculate the carbon load, search the source process of steel coil production, usually the converter, calculate the carbon load according to the method in step A4, and divide it into different types, summarizing it into in-plant and out-of-plant carbon loads; A52: Retrieve the next stage, calculate the carbon load of this stage, and proceed to the next stage of steel coil production according to the process path. Calculate the carbon load of this stage using the same method as in step A51. A53: Carry forward the carbon load from the previous stage to the current stage to obtain the cumulative carbon emissions for the current stage. By examining the carbon load of the previous stage's production process through the process path, multiply it by the unit consumption of the previous stage's product in the current stage to obtain the carbon load of the previous stage's product in the current stage. The specific formula is as follows: Carbon emissions from the previous stage = carbon load from the previous stage × unit consumption of the product from the previous stage in this stage; According to the above formula, the carbon load of the previous stage is carried over to the current stage and summed with the carbon load generated in the current stage to obtain the cumulative carbon load value from steel coil production to the current stage. A54: Iterate to the end stage, repeat steps A52 and A53 to obtain the cumulative carbon emissions for each stage and the ratio of emissions inside and outside the plant, until the end stage of steel coil production.
Citation Information
Patent Citations
Carbon footprint calculation method based on steel product
CN118229148A