A method and evaluation system for collaborative optimization of carbon emissions and costs of automotive steel materials
By constructing a full-life cycle carbon emission and production and operation cost accounting model of automobile steel materials, combining carbon emission reduction technology and real-time carbon price, the optimal emission reduction plan and comprehensive cost value are optimized, and an online evaluation system is developed, which solves the shortcomings of the coordinated management of carbon emissions and cost of automobile steel materials in the existing technology, and realizes real-time comprehensive cost optimization and management support, and promotes the sustainable development of automobile enterprises.
Patent Information
- Application Number
- CN202410731329.9
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-06-06
- Publication Date
- 2025-04-18
- Estimated Expiration
- 2044-06-06
AI Technical Summary
The existing technology has shortcomings in the collaborative accounting, analysis and management of carbon emissions and costs in the entire life cycle of automotive steel materials, lacking real-time and comprehensiveness, and cannot effectively support the low-carbon development and decision-making of the automotive industry.
By building a full life cycle carbon emission and production and operation cost accounting model for automotive steel materials, combining carbon emission reduction technology and real-time carbon price, using neural networks and deep learning technology to optimize the optimal emission reduction plan and comprehensive cost value, and developing an online evaluation system with open data acquisition interface and data security guarantees to reflect the carbon emission and cost information of automotive steel materials in real time.
It has realized the optimization management of carbon emissions and costs of automotive steel materials throughout the life cycle, provided a real-time comprehensive cost optimization plan, helping automobile companies to formulate more targeted and effective procurement and management strategies, and promoted the sustainable development and competitiveness of enterprises.
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Figure CN118607712B_ABST
Abstract
Description
Technical Field
[0001] The present invention relates to the technical field of automobile raw material emission reduction, and in particular to a method and an evaluation system for collaboratively optimizing carbon emissions and costs of automobile steel materials. Background Art
[0002] Under the background of "dual carbon", carbon reduction in the automotive industry is imminent. The low-carbon development of automotive steel materials is an important way to reduce carbon in the entire life cycle of the automotive industry. The coordinated carbon reduction between the automotive industry and upstream and downstream industries has gradually become a consensus. Carry out carbon emissions and production and operation cost accounting for typical automotive steel materials from raw material production, vehicle manufacturing, use to scrapping, introduce a technical information base for carbon emission reduction of automotive steel materials throughout the life cycle, and intelligently form the optimal comprehensive cost plan through system optimization methods. Combined with advanced digital technology, develop an automotive steel material evaluation visualization system with an open data collection interface and guaranteed data security, which can effectively improve the evaluation and management level of automotive companies on upstream steel raw material suppliers, help the automotive industry achieve carbon reduction throughout the entire process, and help the country achieve the "dual carbon" goal as soon as possible.
[0003] The Chinese patent "CN116402235A A method for calculating carbon emissions throughout the life cycle of a whole vehicle" provides a method for calculating carbon emissions throughout the life cycle of a whole vehicle. This patent calculates the total ecological carbon emissions and economic costs of a single vehicle throughout its life cycle, and establishes carbon economic indicators to achieve the correlation between carbon emissions and economic costs. It conducts differentiated accounting for each technical route and provides reference opinions for the low-carbon development of the automotive industry.
[0004] However, existing methods mainly focus on carbon emissions and cost accounting during the production and use stages of automobiles, or stay at the level of accounting for carbon emissions and economic costs throughout the entire life cycle, lacking the coordinated accounting, analysis and management of carbon emissions and costs. For example, the comprehensive cost optimization method in the present invention considers application decision variables such as carbon emission reduction technology and real-time carbon prices, and systematically optimizes the optimal emission reduction plan and comprehensive cost value for automobile steel materials. In addition, existing evaluation tools often lack comprehensiveness and real-time performance, such as the lack of analysis of the comprehensive cost of automobile steel products under the influence of real-time carbon prices, and cannot provide timely decision support for the automotive industry. Summary of the invention
[0005] According to the technical problems raised above, a method and evaluation system for coordinated optimization of carbon emissions and costs of automobile steel materials are provided. The present invention provides a method for calculating carbon emissions and production and operation costs of automobile steel materials throughout their life cycle, ensuring that the environmental impact and economic costs of raw material production, vehicle manufacturing, use and scrapping are fully considered; by considering application decision variables such as carbon emission reduction technology and real-time carbon price, the optimized management of carbon emissions and costs in the entire life cycle of automobile steel materials is achieved; an online evaluation system for automobile steel materials is developed to reflect the real-time carbon emissions and cost information of automobile steel materials throughout their life cycle, real-time comprehensive cost optimization solutions, historical product carbon emissions and cost change trends, etc., to provide timely carbon emissions and cost management support for automobile manufacturers, and promote the sustainable development and competitiveness of enterprises.
[0006] The technical means adopted by the present invention are as follows:
[0007] A method for collaboratively optimizing carbon emissions and costs of automobile steel materials, comprising:
[0008] S1. Investigate the basic operating status and parameters of energy-consuming equipment in the entire life cycle of automobile steel materials, analyze the production and operation mechanisms of each stage and process in the entire life cycle, collect production and operation data of automobile steel materials in the entire life cycle, and establish a basic data information database of automobile steel materials;
[0009] S2. Based on the basic data information database of automobile steel materials, with full life cycle environmental assessment and full life cycle cost assessment as the theoretical basis, a carbon emission and production and operation cost accounting model for automobile steel materials in the full life cycle is constructed to calculate the carbon emission and production and operation cost values of automobile steel materials in the full life cycle;
[0010] S3. Based on the carbon emission and production and operation cost accounting model of automobile steel materials in the whole life cycle, combined with the production and operation mechanism and neural network, deep learning technology, and the introduction of the carbon emission reduction technology information database of automobile steel materials in the whole life cycle, considering the carbon emission reduction technology and carbon price application decision variables, a comprehensive cost optimization model for typical automobile steel materials in the whole life cycle is constructed. Relying on the Pyomo algorithm, with the goal of optimizing the comprehensive cost, the model is solved to obtain the optimal decision variables;
[0011] S4. Based on the carbon emission and production operation cost accounting model, comprehensive cost optimization model, and carbon emission reduction technology information database, develop an online evaluation system for automotive steel materials with an open data collection interface and data security guarantee to reflect the real-time information of automotive steel materials.
[0012] Furthermore, the entire life cycle includes four stages: raw material production, vehicle manufacturing, use and scrapping.
[0013] Furthermore, the step S1 specifically includes:
[0014] S11. Obtain the production process structure of automobile steel materials in the raw material production stage and the vehicle manufacturing stage and the production process mechanism of each process, clarify the input and output relationship of materials, power media and products and by-products of each process; determine the key information of the production equipment of each process and the material consumption, power media consumption, product and by-product output, material composition, physical property parameters, and operating parameters;
[0015] Obtain the operating status and power medium consumption of automobile steel materials during the use phase, and determine the operating parameters and power medium consumption parameters during the use phase;
[0016] Obtain the treatment mechanism of automobile steel materials at the scrapping stage, determine the treatment method of steel materials and power medium consumption parameters after the automobile is scrapped; collect various data parameters and build a basic data set of automobile steel materials;
[0017] S12. Based on the basic data set of automobile steel materials in step S11, the missing values and abnormal values of the collected original data are processed; the abnormal data in the data are detected by statistical methods, and the abnormal data are corrected by data replacement and empirical value filling, and the missing data are processed by interpolation and mean filling methods, and the data are combined with the normal original data to form an automobile steel material basic data information database.
[0018] Furthermore, the step S2 specifically includes:
[0019] S21. Define the system boundary as all direct and indirect production processes in the entire life cycle of automobile steel materials; build a carbon emission and production operation cost accounting model for automobile steel materials in the entire life cycle based on the full life cycle environmental assessment and full life cycle cost assessment;
[0020] The carbon emission accounting formula for automobile steel materials over the entire life cycle is expressed as:
[0021]
[0022] E u =D×CEI e ×ζ steel
[0023] E r =-(E p +E m )×θ recovery +EMC r,e ×CEI r,e ×θ recovery
[0024] E=E p +Em +E u +E r
[0025] Among them, E represents the carbon emissions of a unit of automobile steel material in its entire life cycle, E p , E m , E u , E r Respectively represent the carbon emissions of automobile steel materials in the raw material production stage, vehicle manufacturing stage, use stage, and scrapping stage. a Indicates the input amount of material or power medium, EMC b Indicates the output of materials or power media, CEI a Represents the carbon emission factor of material a, CEI b represents the carbon emission factor of material b, i and j represent the processes of raw material production and vehicle manufacturing in the entire life cycle of automobile steel materials, respectively, D is the driving distance of the vehicle in its entire life cycle, and CEI e Indicates the carbon emission value generated per unit driving distance, ζ steel Indicates the weight ratio of automobile steel materials to the entire vehicle, EMC r,e Indicates the consumption of material e in the process of recycling scrap steel materials in the scrapping stage, CEI r,e represents the carbon emission factor of material e during the recycling of scrap steel materials in the scrapping stage, θ recovery The recycling rate of scrap steel materials for automobiles;
[0026] The production and operation cost accounting formula for automobile steel materials in the whole life cycle is expressed as:
[0027]
[0028] C u =D×CI e ×ζ steel
[0029] C r =-(C p +C m )×θ recovery +EMC r,e ×CI r,e ×θ recovery
[0030] C=C p +C m +C u +C r
[0031] Among them, C represents the production and operation cost of a unit of automobile steel material in the whole life cycle, C p , Cm , C u , C r They represent the production and operation costs of automobile steel materials in the raw material production stage, vehicle manufacturing stage, use stage, and scrapping stage. a Represents the cost factor of material a, CI b Represents the cost factor of material b, CI e Represents the cost per unit distance traveled, CI r,e It represents the cost factor of material e in the process of recycling scrap steel materials in the scrapping stage;
[0032] S22. Based on the basic data information database of automobile steel materials in step S1, analyze and organize the data list of full life cycle environmental assessment and full life cycle cost assessment, and quantify the carbon emissions and production and operation cost values of automobile steel materials over the full life cycle.
[0033] Furthermore, the production operation mechanism includes: material balance, element balance, production process indicators, operation indicators and product indicators.
[0034] Furthermore, the step S3 specifically includes:
[0035] S31. Investigate the current status of carbon emission reduction technology application and development in automobile steel material production enterprises, vehicle manufacturing enterprises, automobile steel scrapping enterprises and automobile use, collect parameter information on carbon emission reduction potential, implementation cycle, application cycle and economic cost of carbon emission reduction technology in the whole life cycle of automobile steel materials, and build a carbon emission reduction technology information database for automobile steel materials in the whole life cycle;
[0036] S32. Based on the production and operation mechanism of automobile steel materials in the whole life cycle, the carbon emission and production and operation cost accounting model of automobile steel materials in the whole life cycle, and the carbon emission reduction technology information database of automobile steel materials in the whole life cycle, the carbon emission reduction amount, technology implementation cycle, low-carbon investment, and scrap material recovery rate indicators are used as constraints, and the comprehensive cost is used as the optimization target to construct a comprehensive cost optimization model for typical automobile steel materials in the whole life cycle;
[0037] The comprehensive cost optimization model includes an objective function and constraints. The objective function of the model is expressed as:
[0038]
[0039] Among them, CC is the comprehensive cost of unit automobile steel material in the whole life cycle, ΔE t is the unit carbon reduction potential of carbon reduction technology t, CI C is the real-time carbon price in the carbon trading market, ΔC t is the unit cost change of carbon emission reduction technology t;
[0040] The constraints of the model are expressed as:
[0041]
[0042] L t ≤L o
[0043] CC≤CC max
[0044] θ recovery,min ≤θ recovery ≤θ recovery,max
[0045] Among them, E o,steel The emission reduction target for automobile steel materials in the entire industrial chain of automobile enterprises, L t is the implementation period of technology t, L o The completion cycle of the carbon emission reduction target of vehicle enterprises, CC max is the maximum rated value of low-carbon investment by automobile enterprises, θ recovery,min and θ recovery,max The minimum and maximum recycling rates for scrap steel materials from automobiles.
[0046] Furthermore, the real-time information of automobile steel materials reflected by the online evaluation system for automobile steel materials includes: carbon emission and cost information throughout the life cycle, real-time comprehensive cost optimization plan, and historical product carbon emission and cost change trends.
[0047] Furthermore, the step S4 specifically includes:
[0048] S41. Establish a basic database for automobile steel material evaluation based on the basic data information database of automobile steel materials and real-time carbon emission factors, cost factors and carbon price data.
[0049] S42. Develop an online evaluation system for automotive steel materials based on the basic database for automotive steel material evaluation, combined with the carbon emission and production operation cost accounting model, the comprehensive cost optimization model and the carbon emission reduction technology information database;
[0050] S43. Deploy the debugged comprehensive cost optimization model on the enterprise's internal automobile steel material procurement management server, adopt encryption algorithms and encrypt stored data, set up firewalls and intrusion detection systems, configure security chips and other security measures and technologies to protect the security of system data. Enterprise procurement personnel can make corresponding adjustments to procurement choices based on the optimal comprehensive cost plan given by the model.
[0051] The present invention also includes an online evaluation system for automobile steel materials, which includes: a carbon emission and production operation cost accounting module for the entire life cycle and each stage, a product carbon emission and production operation cost analysis module, a comprehensive cost optimization analysis module, and a product carbon economy report viewing and downloading module.
[0052] Compared with the prior art, the present invention has the following advantages:
[0053] 1. The present invention provides a method and evaluation system for coordinated optimization of carbon emissions and costs of automotive steel materials, which comprehensively considers the carbon emissions and production and operation costs of automotive steel materials throughout their entire life cycle from production to scrapping, and can help enterprises effectively manage the environmental impact and economic costs of the entire life cycle, including raw material production, vehicle manufacturing, use and scrapping.
[0054] 2. The present invention provides a method and evaluation system for the coordinated optimization of carbon emissions and costs of automobile steel materials. By developing a comprehensive cost optimization model, the present invention optimizes the management of carbon emissions and costs in the entire life cycle of automobile steel materials. The model combines carbon emission reduction technology and application decision variables such as carbon price, and the system optimizes to obtain the optimal emission reduction plan and comprehensive cost value of automobile steel materials, which helps enterprises select the optimal production and operation plan for the entire life cycle, improve resource utilization efficiency, reduce energy consumption and carbon emissions, and control costs.
[0055] 3. The online evaluation system for automobile steel materials in the method and evaluation system for coordinated optimization of carbon emissions and costs of automobile steel materials provided by the present invention reflects the real-time carbon emissions and cost information of automobile steel materials throughout their entire life cycle, real-time comprehensive cost optimization solutions, historical product carbon emissions and cost change trends, etc. Through this system, enterprises can obtain carbon emissions and cost information and comprehensive cost optimization solutions in a timely manner, which is helpful to formulate more targeted and effective procurement and management strategies.
[0056] 4. The present invention provides a method and evaluation system for coordinated optimization of carbon emissions and costs of automobile steel materials, which fills the gaps in carbon emissions and cost analysis of automobile steel materials, adopts a full life cycle perspective, and combines carbon emissions and cost analysis, which helps automobile companies to more comprehensively evaluate and optimize the full life cycle of automobile steel materials. The invention can effectively reduce the carbon emissions of automobile steel materials throughout their life cycle and coordinately control their emission reduction costs, improve the management level of automobile companies on automobile steel materials, and thus achieve carbon reduction in the entire industrial chain of automobile companies.
[0057] Based on the above reasons, the present invention can be widely promoted in the field of automobile raw material emission reduction technology. BRIEF DESCRIPTION OF THE DRAWINGS
[0058] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative labor.
[0059] Figure 1 This is a flow chart of the carbon emission and cost collaborative optimization method and evaluation system for automotive steel materials of the present invention.
[0060] Figure 2 It is the input-output relationship of the substance, power medium, products and by-products of typical automobile steel materials in the whole life cycle of the present invention.
[0061] Figure 3 Schematic diagram of the carbon emission and operating cost accounting model for typical automobile steel materials over the entire life cycle in the present invention.
[0062] Figure 4 The present invention is a flow chart of the comprehensive cost optimization method for the entire life cycle of automobile steel materials.
[0063] Figure 5 It is a schematic diagram of the interface of the online evaluation system for automobile steel materials in the present invention. DETAILED DESCRIPTION
[0064] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.
[0065] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units that are clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0066] like Figure 1 As shown, the present invention provides a method for coordinated optimization of carbon emissions and costs of automobile steel materials, comprising:
[0067] S1. Investigate the basic operating status and parameters of energy-consuming equipment in the entire life cycle of automobile steel materials, analyze the production and operation mechanisms of each stage and process in the entire life cycle, collect production and operation data of automobile steel materials in the entire life cycle, and establish a basic data information database of automobile steel materials;
[0068] In specific implementation, as a preferred embodiment of the present invention, the full life cycle includes four stages: raw material production, vehicle manufacturing, use and scrapping.
[0069] In specific implementation, as a preferred embodiment of the present invention, the step S1 specifically includes:
[0070] S11. Obtain the production process structure of automobile steel materials in the raw material production stage and the vehicle manufacturing stage and the production process mechanism of each process, clarify the input and output relationship of materials, power media and products and by-products of each process; determine the key information of the production equipment of each process and the material consumption, power media consumption, product and by-product output, material composition, physical property parameters, and operating parameters;
[0071] Obtain the operating status and power medium consumption of automobile steel materials during the use phase, and determine the operating parameters and power medium consumption parameters during the use phase;
[0072] Obtain the treatment mechanism of automobile steel materials at the scrapping stage, determine the treatment method of steel materials and power medium consumption parameters after the automobile is scrapped; collect various data parameters and build a basic data set of automobile steel materials;
[0073] Figure 2 It is the input-output relationship of the substance, power medium, products and by-products of typical automotive steel materials throughout their life cycle.
[0074] S12. Based on the basic data set of automobile steel materials in step S11, the missing values and abnormal values of the collected original data are processed; the abnormal data in the data are detected by statistical methods, and the abnormal data are corrected by data replacement and empirical value filling, and the missing data are processed by interpolation and mean filling methods, and the data are combined with the normal original data to form an automobile steel material basic data information database.
[0075] S2. Based on the basic data information database of automobile steel materials, with full life cycle environmental assessment and full life cycle cost assessment as the theoretical basis, a carbon emission and production and operation cost accounting model for automobile steel materials in the full life cycle is constructed to calculate the carbon emission and production and operation cost values of automobile steel materials in the full life cycle; Figure 3This is a schematic diagram of the carbon emissions and production and operation cost accounting model for typical automotive steel materials over the entire life cycle.
[0076] In specific implementation, as a preferred embodiment of the present invention, step S2 specifically includes:
[0077] S21. Define the system boundary as all direct and indirect production processes in the entire life cycle of automobile steel materials; build a carbon emission and production operation cost accounting model for automobile steel materials in the entire life cycle based on the full life cycle environmental assessment and full life cycle cost assessment;
[0078] The carbon emission accounting formula for automobile steel materials over the entire life cycle is expressed as:
[0079]
[0080] E u =D×CEI e ×ζ steel
[0081] E r =-(E p +E m )×θ recovery +EMC r,e ×CEI r,e ×θ recovery
[0082] E=E p +E m +E u +E r
[0083] Among them, E represents the carbon emissions of a unit of automobile steel material in its entire life cycle, E p , E m , E u , E r Respectively represent the carbon emissions of automobile steel materials in the raw material production stage, vehicle manufacturing stage, use stage, and scrapping stage. a Indicates the input amount of material or power medium, EMC b Indicates the output of materials or power media, CEI a Represents the carbon emission factor of material a, CEI b represents the carbon emission factor of material b, i and j represent the processes of raw material production and vehicle manufacturing in the entire life cycle of automobile steel materials, respectively, D is the driving distance of the vehicle in its entire life cycle, and CEI e Indicates the carbon emission value generated per unit driving distance, ζ steel Indicates the weight ratio of automobile steel materials to the entire vehicle, EMC r,eIndicates the consumption of material e in the process of recycling scrap steel materials in the scrapping stage, CEI r,e represents the carbon emission factor of material e during the recycling of scrap steel materials in the scrapping stage, θ recovery The recycling rate of scrap steel materials for automobiles;
[0084] The production and operation cost accounting formula for automobile steel materials in the whole life cycle is expressed as:
[0085]
[0086] C u =D×CI e ×ζ steel
[0087] C r =-(C p +C m )×θ recovery +EMC r,e ×CI r,e ×θ recovery
[0088] C=C p +C m +C u +C r
[0089] Among them, C represents the production and operation cost of a unit of automobile steel material in the whole life cycle, C p , C m , C u , C r They represent the production and operation costs of automobile steel materials in the raw material production stage, vehicle manufacturing stage, use stage, and scrapping stage. a Represents the cost factor of material a, CI b Represents the cost factor of material b, CI e Represents the cost per unit distance traveled, CI r,e It represents the cost factor of material e in the process of recycling scrap steel materials in the scrapping stage;
[0090] S22. Based on the basic data information database of automobile steel materials in step S1, analyze and organize the data list of full life cycle environmental assessment and full life cycle cost assessment, and quantify the carbon emissions and production and operation cost values of automobile steel materials over the full life cycle.
[0091] S3. Based on the carbon emission and production and operation cost accounting model of automobile steel materials in the whole life cycle, combined with the production and operation mechanism and neural network, deep learning technology, and the introduction of the carbon emission reduction technology information database of automobile steel materials in the whole life cycle, considering the carbon emission reduction technology and carbon price application decision variables, a comprehensive cost optimization model for typical automobile steel materials in the whole life cycle is constructed. Relying on the Pyomo algorithm in the Python tool, with the goal of optimizing the comprehensive cost, the model is solved to obtain the optimal decision variables;
[0092] In specific implementation, as a preferred embodiment of the present invention, the production operation mechanism includes: material balance, element balance, production process index, operation index and product index.
[0093] In specific implementation, as a preferred embodiment of the present invention, step S3 specifically includes:
[0094] S31. Investigate the current status of carbon emission reduction technology application and development in automobile steel material production enterprises, vehicle manufacturing enterprises, automobile steel scrapping enterprises and automobile use, collect parameter information on carbon emission reduction potential, implementation cycle, application cycle and economic cost of carbon emission reduction technology in the whole life cycle of automobile steel materials, and build a carbon emission reduction technology information database for automobile steel materials in the whole life cycle;
[0095] S32. Based on the production and operation mechanism of automobile steel materials in the whole life cycle, the carbon emission and production and operation cost accounting model of automobile steel materials in the whole life cycle, and the carbon emission reduction technology information database of automobile steel materials in the whole life cycle, the carbon emission reduction amount, technology implementation cycle, low-carbon investment, and scrap material recovery rate indicators are used as constraints, and the comprehensive cost is used as the optimization target to construct a comprehensive cost optimization model for typical automobile steel materials in the whole life cycle;
[0096] The comprehensive cost optimization model includes an objective function and constraints. The objective function of the model is expressed as:
[0097]
[0098] Among them, CC is the comprehensive cost of unit automobile steel material in the whole life cycle, ΔE t is the unit carbon reduction potential of carbon reduction technology t, CI C is the real-time carbon price in the carbon trading market, ΔC t is the unit cost change of carbon emission reduction technology t;
[0099] The constraints of the model are expressed as:
[0100]
[0101] L t ≤L o
[0102] CC≤CC max
[0103] θ recovery,min ≤θ recovery ≤θ recovery,max
[0104] Among them, E o,steel The emission reduction target for automobile steel materials in the entire industrial chain of automobile enterprises, L t is the implementation period of technology t, L o The completion cycle of the carbon emission reduction target of vehicle enterprises, CC max is the maximum rated value of low-carbon investment by automobile enterprises, θ recovery,min and θ recovery,max The minimum and maximum recycling rates for scrap steel materials from automobiles.
[0105] During implementation, a mixed integer nonlinear programming (MINLP) model with the goal of optimizing the comprehensive cost is established in the Python environment through the Pyomo software package, and the Ipopt solver is called to solve the model.
[0106] The Pyomo software package refers to the Python Optimization Modeling Objects, which is an open source software package based on Python that supports the calculation and analysis of various optimization models.
[0107] S4. Based on the carbon emission and production operation cost accounting model, comprehensive cost optimization model, and carbon emission reduction technology information database, and using advanced computer database technology, back-end data calculation technology, and front-end interface development technology, develop an online evaluation system for automotive steel materials with an open data collection interface and data security guarantees to reflect the real-time information of automotive steel materials. Figure 5 This is a schematic diagram of the interface of the online evaluation system for automotive steel materials.
[0108] In specific implementation, as a preferred embodiment of the present invention, the real-time information of automobile steel materials reflected by the online evaluation system for automobile steel materials includes: carbon emissions and cost information throughout the life cycle, real-time comprehensive cost optimization solutions, historical product carbon emissions and cost change trends.
[0109] In specific implementation, as a preferred embodiment of the present invention, step S4 specifically includes:
[0110] S41. Based on the basic data information base of automobile steel materials and real-time carbon emission factors, cost factors and carbon price data, a basic database for automobile steel material evaluation is established using MySQL database.
[0111] S42. Based on the basic database of automobile steel material evaluation, combined with the carbon emission and production operation cost accounting model, the comprehensive cost optimization model and the carbon emission reduction technology information database, and using the business analysis visualization tool Power BI, develop an online evaluation system for automobile steel materials;
[0112] S43. Deploy the debugged comprehensive cost optimization model on the enterprise's internal automobile steel material procurement management server, adopt encryption algorithms and encrypt the stored data, set up firewalls and intrusion detection systems, configure security chips and other security measures and technologies to protect the security of system data and provide highly reliable security protection for the system. Enterprise procurement personnel can make corresponding adjustments to procurement choices based on the optimal comprehensive cost plan given by the model.
[0113] The present invention also includes an online evaluation system for automobile steel materials, which includes: a carbon emission and production operation cost accounting module for the entire life cycle and each stage, a product carbon emission and production operation cost analysis module, a comprehensive cost optimization analysis module, and a product carbon economy report viewing and downloading module.
[0114] Through the accounting method provided by the present invention, enterprises can systematically manage the carbon emissions and production and operation costs of automotive steel materials throughout their entire life cycle from production to scrapping. This comprehensive management method helps enterprises to more systematically understand and control their environmental and economic impacts, and helps automotive companies achieve carbon reduction goals across the entire industry chain. The comprehensive cost optimization model of the present invention combines carbon emission reduction technology with application decision variables such as carbon prices, providing the automotive industry with decision support for optimizing production and operation plans throughout the life cycle, and promoting environmental and economic benefits. The developed online evaluation system for automotive steel materials can reflect carbon emissions and cost information throughout the life cycle, real-time comprehensive cost optimization plans, historical product carbon emissions and cost change trends, helping companies to promptly understand carbon emissions and costs, and formulate more targeted and effective procurement and management strategies.
[0115] The serial numbers of the above embodiments of the present invention are only for description and do not represent the advantages or disadvantages of the embodiments.
[0116] In the above embodiments of the present invention, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.
[0117] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0118] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0119] In addition, each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0120] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, in essence, or the part that contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk and other media that can store program codes.
[0121] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some or all of the technical features therein with equivalents. However, these modifications or replacements do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.
Claims
1. A method for collaboratively optimizing carbon emissions and costs of automobile steel materials, characterized in that: The specific steps include: S1. Investigate the basic operating status and parameters of energy-consuming equipment in the entire life cycle of automobile steel materials, analyze the production and operation mechanism of each stage and process in the entire life cycle, collect the production and operation data of automobile steel materials in the entire life cycle, and establish a basic data information database of automobile steel materials; The full life cycle includes four stages: raw material production, vehicle manufacturing, use and scrapping; S2. Based on the basic data information database of automobile steel materials, with full life cycle environmental assessment and full life cycle cost assessment as the theoretical basis, a carbon emission and production and operation cost accounting model for automobile steel materials in the full life cycle is constructed to calculate the carbon emission and production and operation cost values of automobile steel materials in the full life cycle; S3. Based on the carbon emission and production and operation cost accounting model of automobile steel materials in the whole life cycle, combined with the production and operation mechanism and neural network, deep learning technology, and the introduction of the carbon emission reduction technology information database of automobile steel materials in the whole life cycle, considering the carbon emission reduction technology and carbon price application decision variables, a comprehensive cost optimization model for typical automobile steel materials in the whole life cycle is constructed. Relying on the Pyomo algorithm, with the goal of optimizing the comprehensive cost, the model is solved to obtain the optimal decision variables; S31. Investigate the current status of carbon emission reduction technology application and development in automobile steel material production enterprises, vehicle manufacturing enterprises, automobile steel scrapping enterprises and automobile use, collect parameter information on carbon emission reduction potential, implementation cycle, application cycle and economic cost of carbon emission reduction technology in the whole life cycle of automobile steel materials, and build a carbon emission reduction technology information database for automobile steel materials in the whole life cycle; S32. Based on the production and operation mechanism of automobile steel materials in the whole life cycle, the carbon emission and production and operation cost accounting model of automobile steel materials in the whole life cycle and the carbon emission reduction technology information database of automobile steel materials in the whole life cycle, the carbon emission reduction amount, technology implementation cycle, low-carbon investment and scrap material recovery rate indicators are used as constraints, and the comprehensive cost is used as the optimization target to construct a comprehensive cost optimization model for typical automobile steel materials in the whole life cycle; The comprehensive cost optimization model includes an objective function and constraints. The objective function of the model is expressed as: Among them, E represents the carbon emission of a unit of automobile steel material in its entire life cycle, C represents the production and operation cost of a unit of automobile steel material in its entire life cycle, CC represents the comprehensive cost of a unit of automobile steel material in its entire life cycle, and ΔE t is the unit carbon reduction potential of carbon reduction technology t, CI C is the real-time carbon price in the carbon trading market, ΔC t is the unit cost change of carbon emission reduction technology t; The constraints of the model are expressed as: L t ≤L o CC≤CC max i recovery,min ≤θ recovery ≤θ recovery,max Among them, E o,steel The emission reduction target for automobile steel materials in the entire industrial chain of automobile enterprises, L t is the implementation period of technology t, L o The completion cycle of the carbon emission reduction target of vehicle enterprises, CC max is the maximum rated value of low-carbon investment by automobile enterprises, θ recovery,min and θ recovery,max is the minimum and maximum recycling rate of scrapped steel materials from automobiles, θ recovery The recycling rate of scrap steel materials for automobiles; S4. Based on the carbon emission and production operation cost accounting model, comprehensive cost optimization model, and carbon emission reduction technology information database, develop an online evaluation system for automotive steel materials with an open data collection interface and data security guarantee to reflect the real-time information of automotive steel materials; The real-time information of automobile steel materials reflected by the online evaluation system for automobile steel materials includes: carbon emission and cost information throughout the life cycle, real-time comprehensive cost optimization solutions, and historical product carbon emission and cost change trends.
2. The method for coordinated optimization of carbon emissions and costs of automobile steel materials according to claim 1, characterized in that: The step S1 specifically includes: S11. Obtain the production process structure of automobile steel materials in the raw material production stage and the vehicle manufacturing stage and the production process mechanism of each process, clarify the input and output relationship of materials, power media and products and by-products of each process; determine the key information of the production equipment of each process and the material consumption, power media consumption, product and by-product output, material composition, physical property parameters and operating parameters; Obtain the operating status and power medium consumption of automobile steel materials during the use phase, and determine the operating parameters and power medium consumption parameters during the use phase; Obtain the treatment mechanism of automobile steel materials at the scrapping stage, determine the treatment method of steel materials and power medium consumption parameters after the automobile is scrapped; collect various data parameters and build a basic data set of automobile steel materials; S12. Based on the basic data set of automobile steel materials in step S11, the collected original data is processed for missing values and outliers; the abnormal data in the data is detected using statistical methods, and the abnormal data is corrected by data replacement and empirical value filling, and the missing data is processed by interpolation and mean filling methods, and the data is combined with the normal original data to form an automobile steel material basic data information database.
3. The method for coordinated optimization of carbon emissions and costs of automobile steel materials according to claim 1, characterized in that: The step S2 specifically includes: S21. Define the system boundary as all direct and indirect production processes in the entire life cycle of automobile steel materials; build a carbon emission and production operation cost accounting model for automobile steel materials in the entire life cycle based on the full life cycle environmental assessment and full life cycle cost assessment; The carbon emission accounting formula for automobile steel materials over the entire life cycle is expressed as: AND u =D×CEI e ×ζ steel AND r =-(And p +E m )×θ recovery +EMC r,e ×CEI r,e ×θ recovery E=E p +E m +E u +E r Among them, E p , E m , E u , E r Respectively represent the carbon emissions of automobile steel materials in the raw material production stage, vehicle manufacturing stage, use stage, and scrapping stage. a Indicates the input amount of material, EMC b Indicates the output of materials, CEI a Represents the carbon emission factor of material a, CEI b represents the carbon emission factor of material b, i and j represent the processes of raw material production and vehicle manufacturing in the entire life cycle of automobile steel materials, respectively, D is the driving distance of the vehicle in its entire life cycle, and CEI e Indicates the carbon emission value generated per unit driving distance, ζ steel Indicates the weight ratio of automobile steel materials to the entire vehicle, EMC r,e Indicates the consumption of material e in the process of recycling scrap steel materials in the scrapping stage, CEI r,e It represents the carbon emission factor of material e in the process of recycling scrap steel materials in the scrapping stage; The cost accounting formula for the production and operation of automotive steel materials over the entire life cycle is expressed as: C u =D×CI e ×ζ steel C r =-(C p +C m )×θ recovery +EMC r,e ×CI r,e ×θ recovery C=C p +C m +C u +C r Among them, C p , C m , C u , C r They represent the production and operation costs of automobile steel materials in the raw material production stage, vehicle manufacturing stage, use stage, and scrapping stage. a Represents the cost factor of material a, CI b Represents the cost factor of material b, CI e Represents the cost per unit distance traveled, CI r,e It represents the cost factor of material e in the process of recycling scrap steel materials in the scrapping stage; S22. Based on the basic data information database of automobile steel materials in step S1, analyze and organize the data list of full life cycle environmental assessment and full life cycle cost assessment, and quantify the carbon emissions and production and operation cost values of automobile steel materials over the full life cycle.
4. The method for coordinated optimization of carbon emissions and costs of automobile steel materials according to claim 1, characterized in that: The production operation mechanism includes: material balance, element balance, production process index, operation index and product index.
5. The method for coordinated optimization of carbon emissions and costs of automobile steel materials according to claim 1, characterized in that: The step S4 specifically includes: S41. Establish a basic database for automobile steel material evaluation based on the basic data information database of automobile steel materials and real-time carbon emission factors, cost factors and carbon price data; S42. Develop an online evaluation system for automotive steel materials based on the basic database for automotive steel material evaluation, combined with the carbon emission and production operation cost accounting model, the comprehensive cost optimization model and the carbon emission reduction technology information database; S43. Deploy the debugged comprehensive cost optimization model on the enterprise's internal automobile steel material procurement management server, use encryption algorithms to encrypt the stored data, set up firewalls and intrusion detection systems, configure security chips, and protect the security of system data. Enterprise procurement personnel can make corresponding adjustments to procurement choices based on the optimal comprehensive cost plan given by the model.
6. An online evaluation system for automobile steel materials based on the method for coordinated optimization of carbon emissions and costs of automobile steel materials according to any one of claims 1 to 5, characterized in that: The online evaluation system for automobile steel materials includes: a carbon emission and production operation cost accounting module for the entire life cycle and each stage, a product carbon emission and production operation cost analysis module, a comprehensive cost optimization analysis module, and a product carbon economy report viewing and downloading module.
Citation Information
Patent Citations
Evaluation model and method for complete-cycle carbon emission and carbon reduction economy of passenger car
CN116402235A