Method and system for calculating carbon footprint of chemical material
By dividing the life cycle of chemical materials into multiple stages, constructing microscopic and macroscopic carbon flow models and integrating them at multiple scales, the limitations of traditional carbon footprint calculation methods are overcome, enabling accurate calculation and emission reduction optimization of the carbon footprint of chemical materials.
Patent Information
- Application Number
- CN202510949726.8
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-10
- Publication Date
- 2025-10-31
AI Technical Summary
Traditional carbon footprint calculation methods mostly employ static life cycle analysis, which cannot reflect the dynamic flow characteristics of carbon elements in chemical production processes. Furthermore, existing methods are mostly limited to modeling at a single micro or macro scale, making it difficult to comprehensively describe the flow and transformation of carbon elements at the molecular and system levels.
The life cycle of chemical materials is divided into four stages: raw material acquisition, raw material processing, transportation, use, and waste disposal. The optimal combination of stages is generated based on user needs. Microscopic carbon flow models and macroscopic carbon flow models are constructed. The carbon footprint of chemical materials is calculated through multi-scale integration. A dynamic equilibrium equation is introduced to capture the instantaneous changes of carbon elements during the production process.
It improves the accuracy and practicality of carbon footprint calculation, providing more precise data support for carbon emission reduction optimization, and is applicable to different chemical materials and production scenarios.
Smart Images
Figure CN120875237A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of carbon footprint tracking technology, specifically to a method and system for calculating the carbon footprint of chemical materials. Background Technology
[0002] A carbon footprint represents the amount of carbon consumed by an individual or group. It refers to the collection of greenhouse gas emissions caused by businesses, organizations, activities, products, or individuals through transportation, food production and consumption, and various production processes. Carbon primarily refers to natural resources composed of carbon elements, such as oil, coal, and timber. The more carbon consumed, the more carbon dioxide produced, and the larger the carbon footprint; conversely, the smaller the carbon footprint, the less carbon consumed. With the intensification of global climate change, the need for carbon emission reduction in the chemical industry is increasingly urgent. A method capable of accurately calculating the carbon footprint of chemical materials is needed to provide a scientific basis for carbon emission reduction.
[0003] Traditional carbon footprint calculation methods mostly employ static life cycle analysis, which fails to reflect the dynamic flow characteristics of carbon elements during chemical production. Furthermore, existing methods are often limited to modeling at a single microscopic or macroscopic scale, making it difficult to comprehensively describe the flow and transformation of carbon elements at the molecular and system levels. To address this, a method and system for calculating the carbon footprint of chemical materials is proposed. This method combines microscopic and macroscopic carbon flow characteristics to improve calculation accuracy and introduces a dynamic equilibrium equation to capture the instantaneous changes in carbon elements during production, overcoming the limitations of traditional static life cycle analysis. It also generates optimal stage combinations based on user needs, providing data support for carbon emission reduction optimization. Summary of the Invention
[0004] To address the shortcomings of existing technologies, this invention provides a method and system for calculating the carbon footprint of chemical materials. It solves the problems of traditional carbon footprint calculation methods, which mostly use static life cycle analysis and cannot reflect the dynamic flow characteristics of carbon elements in chemical production processes. Furthermore, existing methods are mostly limited to microscopic or macroscopic single-scale modeling, making it difficult to comprehensively describe the flow and transformation of carbon elements at the molecular and system levels.
[0005] To achieve the above objectives, the present invention provides the following technical solution: a method for calculating the carbon footprint of chemical materials, specifically comprising the following steps: S1. Stage Division: The life cycle of chemical materials is divided into the raw material acquisition stage, raw material processing stage, transportation stage, use stage, and waste disposal stage; S2. Solution Optimization: With the goal of minimizing carbon footprint, generate the optimal combination of stages based on user needs; S3, Carbon Footprint Tracking: Obtain carbon flow data in each stage of the optimal stage combination, and construct micro-carbon flow models and macro-carbon flow models; S4. Multi-scale integration: Integrating micro-scale carbon flow models and macro-scale carbon flow models into a multi-scale carbon flow model to calculate the carbon footprint of chemical materials.
[0006] The present invention is further configured such that: the microscopic carbon flow model in S3 is used to calculate carbon flow at the molecular level, describe the microscopic transformation characteristics of carbon, and establishes reaction rate equations by tracing the transformation pathways of carbon in chemical reactions: In the formula, This represents the total amount of carbon at the microscopic level, over time. change, The rate of change of the total amount of carbon at the microscopic level. For the first The rate of a chemical reaction, For the first The stoichiometric coefficient of carbon in a chemical reaction.
[0007] The present invention is further configured such that: the macroscopic carbon flow model in S3 is used to describe the carbon flow characteristics at the system level, capturing the instantaneous changes in carbon during the production process, and it establishes a dynamic equilibrium equation based on the law of conservation of mass: In the formula, The total amount of carbon, over time change, This represents the rate of change in the total amount of carbon at the macroscopic level. The input rate of carbon elements. The output rate of carbon elements, denoted as the carbon element conversion rate.
[0008] The present invention is further configured such that: the integration equation of the multi-scale carbon flow model in S4 is: In the formula, The total amount of carbon in the multiscale carbon flow model, over time. change.
[0009] The present invention is further configured such that: the method for generating the optimal stage combination in S2 based on user needs includes: Based on user requirements, the raw material acquisition stage, raw material processing stage, transportation stage, usage stage, and waste disposal stage are weighted separately to establish an objective function, thereby obtaining the optimal combination of stages that meets user needs. The objective function is as follows: In the formula, For the first The first stage Total carbon emissions, For the first Weighting coefficients for each stage.
[0010] This invention also discloses a system for calculating the carbon footprint of chemical materials, comprising: Data acquisition module: The data acquisition module is used to acquire carbon flow data of chemical materials during the raw material acquisition stage, raw material processing stage, transportation stage, use stage and waste disposal stage; Microscopic carbon flow model module: The microscopic carbon flow model module is used to trace the transformation path of carbon in chemical reactions and calculate carbon flow at the molecular level; Macroscopic carbon flow model module: The macroscopic carbon flow model module is used to establish dynamic equilibrium equations and describe the carbon flow characteristics at the system level; Multi-scale integration module: The multi-scale integration module is used to integrate the micro-carbon flow model with the macro-carbon flow model to calculate the carbon footprint of chemical materials; Optimized output module: The optimized output module is used to obtain the optimal combination of stages with the minimum carbon footprint based on the carbon footprint reports of the raw material acquisition stage, raw material processing stage, transportation stage, usage stage and waste disposal stage.
[0011] This invention provides a method and system for calculating the carbon footprint of chemical materials. It has the following beneficial effects: This invention generates the optimal combination of stages by combining user needs to minimize the carbon footprint. It introduces a dynamic equilibrium equation to capture the instantaneous changes in carbon elements during the production process, breaking through the limitations of traditional static life cycle analysis. Through a multi-scale carbon flow model, it combines microscopic and macroscopic carbon flow characteristics to improve the accuracy and practicality of carbon footprint calculation, providing data support for carbon emission reduction optimization. It is applicable to different chemical materials and production scenarios and has wide applicability. Attached Figure Description
[0012] Figure 1 This is a schematic diagram of the process of the present invention; Figure 2 This is a schematic diagram of the system architecture of the present invention. Detailed Implementation
[0013] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.
[0014] Please see Figure 1-2 The present invention provides the following technical solutions: Example 1 A method for calculating the carbon footprint of chemical materials includes the following steps: S1. Stage Division: The life cycle of chemical materials is divided into the raw material acquisition stage, raw material processing stage, transportation stage, use stage, and waste disposal stage.
[0015] S2. Solution Optimization: Aiming for the minimum carbon footprint, and combining user needs, generate the optimal combination of stages. Specific methods for obtaining the optimal combination of stages include: Based on user requirements, the raw material acquisition stage, raw material processing stage, transportation stage, usage stage, and waste disposal stage are weighted separately to establish an objective function, thereby obtaining the optimal combination of stages that meets user needs. The objective function is as follows: In the formula, For the first The first stage Total carbon emissions, For the first Weighting coefficients for each stage.
[0016] Example 2 A method for calculating the carbon footprint of chemical materials includes the following steps: S1. Stage Division: The life cycle of chemical materials is divided into the raw material acquisition stage, raw material processing stage, transportation stage, use stage, and waste disposal stage.
[0017] S2. Solution Optimization: Aiming for the minimum carbon footprint, and combining user needs, generate the optimal combination of stages. Specific methods for obtaining the optimal combination of stages include: Based on user requirements, the raw material acquisition stage, raw material processing stage, transportation stage, usage stage, and waste disposal stage are weighted separately to establish an objective function, thereby obtaining the optimal combination of stages that meets user needs. The objective function is as follows: In the formula, For the first The first stage Total carbon emissions, For the first Weighting coefficients for each stage.
[0018] S3, Carbon Footprint Tracking: Acquire carbon flow data at each stage and construct micro-carbon flow models and macro-carbon flow models.
[0019] Microscopic carbon flow models are used to calculate carbon flow at the molecular level, describing the microscopic transformation characteristics of carbon. They establish reaction rate equations by tracing the transformation pathways of carbon in chemical reactions. In the formula, This represents the total amount of carbon at the microscopic level, over time. change, The rate of change of the total amount of carbon at the microscopic level. For the first The rate of a chemical reaction, For the first The stoichiometric coefficient of carbon in a chemical reaction.
[0020] Macroscopic carbon flow models are used to describe the characteristics of carbon flow at the system level, capturing the instantaneous changes in carbon during the production process. They are based on the law of conservation of mass and establish dynamic equilibrium equations. In the formula, The total amount of carbon, over time change, This represents the rate of change in the total amount of carbon at the macroscopic level. The input rate of carbon elements. The output rate of carbon elements, denoted as the carbon element conversion rate.
[0021] It should be noted that during the raw material processing stage, Including raw material input and energy consumption, Including product generation and exhaust emissions, This includes the transformation of carbon elements in chemical reactions; During the waste disposal stage, Including the input of waste, Including carbon emissions during waste disposal. This includes the carbon conversion during waste disposal.
[0022] S4. Multi-scale integration: The microscopic carbon flow model and the macroscopic carbon flow model are integrated into a multi-scale carbon flow model to calculate the carbon footprint of chemical materials. The integration equation of the multi-scale carbon flow model is as follows: In the formula, The total amount of carbon in the multiscale carbon flow model, over time. change.
[0023] Simulation Experiment Taking polyethylene as an example: In the raw material acquisition stage: The main raw material is ethylene, which is usually derived from the cracking of oil or natural gas. Its carbon emissions come from energy consumption during the extraction and transportation of fossil fuels. The carbon footprint of ethylene production is calculated using the following formula: In the formula, For the first The consumption of this type of energy, For the first Carbon emission factors of various energy sources; Total carbon emissions during the ethylene production process in the feedstock acquisition stage .
[0024] Raw material processing stage: The main process is polymerization, which converts ethylene monomer into polyethylene. Carbon emissions originate from energy consumption during the reaction process, resulting in a significant carbon footprint. Specifically: In the formula, For the first The consumption of this type of energy, For the first Carbon emission factors of various energy sources; Total carbon emissions during the raw material processing stage .
[0025] Transportation phase: The transportation methods include road, rail, sea, and air. Carbon emissions originate from the fuel consumption of the transportation vehicles. A macroscopic carbon flow model is used to calculate the carbon footprint of polyethylene during its transportation from production to consumption. Specifically: In the formula, For transportation distance, Fuel consumption rate of transportation vehicles. Carbon emission factors for fuel.
[0026] Total carbon emissions during the export transportation phase .
[0027] Usage phase: Application scenarios include, but are not limited to, packaging materials and plastic products. Carbon emissions originate from the degradation or incineration of the products. A macroscopic carbon flow model is used to assess the carbon emissions of polyethylene during its use, analyzing the carbon footprint of different application scenarios. Specifically: In the formula, The amount of polyethylene used, Carbon emission factors that are degraded or incinerated.
[0028] Output of total carbon emissions during the usage phase .
[0029] Waste disposal stage: The treatment methods are recycling, incineration, or landfill. Carbon emissions originate from energy consumption and emissions during the waste treatment process. A macroscopic carbon flow model is used to calculate carbon emissions during waste treatment, and the carbon reduction potential of different treatment methods is analyzed. In the formula, For the first Energy consumption of various waste treatment methods For the first Carbon emission factors of various waste disposal methods.
[0030] Total carbon emissions during the waste disposal phase .
[0031] The outputs of the microscopic and macroscopic carbon flow models are integrated at multiple scales to generate the total carbon footprint of the multi-scale carbon flow model. Specifically: After obtaining the total carbon footprint, based on the different total carbon emissions in the same stage of raw material acquisition, raw material processing, transportation, use, and waste disposal, and after weighting each stage according to user needs, the optimal carbon footprint for each stage is obtained with the goal of minimizing the carbon footprint, thus obtaining the optimal combination of stages. It should be noted that user needs include, but are not limited to, carbon emissions, cost, efficiency, and environmental protection requirements. The weights are allocated using the analytic hierarchy process (AHP), and the allocation results are shown in Table 1. stage carbon emissions cost efficiency Environmental protection requirements Weight Raw material acquisition high middle Low high 0.3 Raw material processing high high middle high 0.3 transportation middle Low high middle 0.2 use Low Low high Low 0.1 Waste disposal middle middle Low high 0.1 Table 1 After obtaining the optimal combination of stages, taking the raw material processing stage as an example, we trace the transformation path of carbon in chemical reactions and establish the reaction rate equation: In the formula, This represents the total amount of carbon at the microscopic level, over time. change, The rate of change of the total amount of carbon at the microscopic level. The rate of the polymerization reaction is obtained through experimental or industrial data. It is the stoichiometric coefficient of carbon in the polymerization reaction, representing the conversion ratio of carbon in the reaction; Establish the dynamic equilibrium equation: In the formula, The total amount of carbon, over time change, This represents the rate of change in the total amount of carbon at the macroscopic level. The rate of carbon input includes ethylene input and energy consumption. The output rate of carbon elements includes polyethylene production and exhaust emissions. The carbon conversion rates in the polymerization reaction were all obtained from industrial production data. The integrated equations for the multi-scale carbon flow model are: In the formula, The total amount of carbon in the multiscale carbon flow model, over time. change.
[0032] In summary, after obtaining the optimal combination of stages, a multi-scale carbon flow model is used to perform more accurate carbon footprint calculations, providing more precise and effective data support for carbon emission reduction.
[0033] It should be noted that, in this document, relational terms such as "first" and "second" are used only to distinguish one entity or operation from another, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Furthermore, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus.
[0034] Although embodiments of the invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made to these embodiments without departing from the principles and spirit of the invention, the scope of which is defined by the appended claims and their equivalents.
Claims
1. A method for calculating the carbon footprint of chemical materials, characterized in that: Specifically, the following steps are included: S1. Stage Division: The life cycle of chemical materials is divided into the raw material acquisition stage, raw material processing stage, transportation stage, use stage, and waste disposal stage; S2. Solution Optimization: With the goal of minimizing carbon footprint, generate the optimal combination of stages based on user needs; S3, Carbon Footprint Tracking: Obtain carbon flow data in each stage of the optimal stage combination, and construct micro-carbon flow models and macro-carbon flow models; S4. Multi-scale integration: Integrating micro-scale carbon flow models and macro-scale carbon flow models into a multi-scale carbon flow model to calculate the carbon footprint of chemical materials.
2. The method for calculating the carbon footprint of chemical materials according to claim 1, characterized in that: The microscopic carbon flow model in S3 is used to calculate carbon flow at the molecular level, describing the microscopic transformation characteristics of carbon. It establishes reaction rate equations by tracing the transformation pathways of carbon in chemical reactions. In the formula, This represents the total amount of carbon at the microscopic level, over time. change, The rate of change of the total amount of carbon at the microscopic level. For the first The rate of a chemical reaction, For the first The stoichiometric coefficient of carbon in a chemical reaction.
3. The method for calculating the carbon footprint of chemical materials according to claim 2, characterized in that: The macroscopic carbon flow model in S3 is used to describe the carbon flow characteristics at the system level and capture the instantaneous changes in carbon during the production process. It is based on the law of conservation of mass and establishes a dynamic equilibrium equation: In the formula, The total amount of carbon, over time change, This represents the rate of change in the total amount of carbon at the macroscopic level. The input rate of carbon elements. The output rate of carbon elements, denoted as the carbon element conversion rate.
4. The method for calculating the carbon footprint of chemical materials according to claim 3, characterized in that: During the raw material processing stage, Including raw material input and energy consumption, Including product generation and exhaust emissions, This includes the transformation of carbon elements in chemical reactions.
5. The method for calculating the carbon footprint of chemical materials according to claim 3, characterized in that: During the waste disposal stage, Including the input of waste, Including carbon emissions during waste disposal. This includes the carbon conversion during waste disposal.
6. The method for calculating the carbon footprint of chemical materials according to claim 3, characterized in that: The integrated equations for the multi-scale carbon flow model in S4 are as follows: In the formula, The total amount of carbon in the multiscale carbon flow model, over time. change.
7. The method for calculating the carbon footprint of chemical materials according to claim 1, characterized in that: The methods for generating the optimal stage combination based on user needs in S2 include: Based on user requirements, the raw material acquisition stage, raw material processing stage, transportation stage, usage stage, and waste disposal stage are weighted separately to establish an objective function, thereby obtaining the optimal combination of stages that meets user needs. The objective function is as follows: In the formula, For the first The first stage Total carbon emissions, For the first Weighting coefficients for each stage.
8. A system for calculating the carbon footprint of chemical materials, characterized in that: include: Data acquisition module: The data acquisition module is used to acquire carbon flow data of chemical materials during the raw material acquisition stage, raw material processing stage, transportation stage, use stage and waste disposal stage; Microscopic carbon flow model module: The microscopic carbon flow model module is used to trace the transformation path of carbon in chemical reactions and calculate carbon flow at the molecular level; Macroscopic carbon flow model module: The macroscopic carbon flow model module is used to establish dynamic equilibrium equations and describe the carbon flow characteristics at the system level; Multi-scale integration module: The multi-scale integration module is used to integrate the micro-carbon flow model with the macro-carbon flow model to calculate the carbon footprint of chemical materials; Optimized output module: The optimized output module is used to obtain the optimal combination of stages with the minimum carbon footprint based on the carbon footprint reports of the raw material acquisition stage, raw material processing stage, transportation stage, usage stage and waste disposal stage.