Prediction method for carbon footprint traceability calculation

Abstract

The invention discloses a prediction method for carbon footprint traceability calculation, and the method specifically comprises the following steps: S1, collecting energy consumption data, raw material mining data and emission data in a production process, and then calculating the carbon emission amount of an enterprise in the tth year, S2, calculating the carbon footprint of a product, S3, analyzing the limiting conditions of the product yield, S4, analyzing the production carbon footprint of a raw material, and S5, calculating the carbon emission amount of the product in the tth year. S5, analyzing the carbon footprint in the raw material mining stage, and S6, analyzing the carbon footprint of the environment and the released carbon emission. The invention relates to the technical field of carbon emission management. According to the prediction method of the carbon footprint traceability calculation, the traceability calculation of the carbon footprint comprises calculation and prediction of a raw material mining carbon footprint, a raw material production carbon footprint and a carbon footprint of influence of raw material transportation and raw material mining on the environment. Evaluation is carried out on the whole life cycle from raw material collection to production and processing, transportation, consumption and use and final disposal of products, and the emission amount of various greenhouse gases can be recorded in detail in the calculation process.

Description

Technical Field

[0001] The present invention relates to the technical field of carbon emission management, and in particular to a prediction method for carbon footprint tracing calculation. Background Art

[0002] Carbon footprint is an indicator used to measure the amount of carbon dioxide emissions caused directly or indirectly by an individual, organization, product or country within a certain period of time. The calculation of carbon footprint covers the emissions of the entire life cycle of a product or service from production, transportation, final use to waste disposal. This comprehensive assessment method enables us to more accurately understand and evaluate the impact of human activities on the environment. The introduction of the carbon footprint concept is intended to remind people to be aware of the urgency of responding to climate change. By calculating and understanding the carbon footprint of an individual or organization, people can identify and implement strategies to reduce greenhouse gas emissions and thus combat global warming.

[0003] Blockchain technology plays an important role in carbon footprint traceability. Through the encryption technology and intelligence of blockchain, national and industry authorities are accelerating the establishment of a product carbon footprint management system, formulating relevant accounting rules and standards, and clarifying accounting boundaries, accounting methods, data quality requirements and traceability requirements. The traceability calculation of product carbon footprint requires not only scientific methods and strict data management, but also the use of modern technical means, such as energy consumption monitoring, carbon emission monitoring and digital platforms, to achieve accurate data traceability and management. Through these measures, companies can effectively manage and reduce the carbon footprint of their products, and also predict corporate carbon emissions, helping to achieve carbon peak and carbon neutrality goals.

[0004] The traceability calculation of product carbon footprint is a complex and multi-step process involving multiple technologies and methods. The following is a detailed explanation: First, it is necessary to clearly define the goal and scope of evaluating the product carbon footprint. The present invention includes the calculation and prediction of the carbon footprint of raw material mining, the carbon footprint of raw material production, and the carbon footprint of raw material transportation and the impact of raw material mining on the environment from the traceability calculation of carbon footprint. That is, it evaluates the entire life cycle of the product from the collection of raw materials to production and processing, transportation, consumption and use, and final disposal. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent (CO2e).

[0005] When calculating the carbon footprint, relevant data needs to be collected, including energy consumption, raw material mining, emissions during the production process, etc. The quality requirements of these data are high, and accuracy and traceability must be ensured. Summary of the invention

[0006] 1. Technical issues to be resolved

[0007] In view of the shortcomings of the prior art, the present invention provides a prediction method for carbon footprint traceability calculation, which includes the calculation and prediction of carbon footprint of raw material mining, carbon footprint of raw material production, and carbon footprint of raw material transportation and the impact of raw material mining on the environment. That is, it evaluates the entire life cycle of the product from raw material collection to production, processing, transportation, consumption and final disposal. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent (CO2e).

[0008] (II) Technical solution

[0009] To achieve the above objectives, the present invention is implemented through the following technical solutions: a prediction method for carbon footprint traceability calculation, including the calculation and prediction of carbon footprint of raw material mining, carbon footprint of raw material production, and carbon footprint of raw material transportation and environmental impact of raw material mining, that is, it evaluates the entire life cycle from the collection of raw materials to production, processing, transportation, consumption and final disposal of the product. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent (CO2e). The prediction method for carbon footprint traceability calculation specifically includes the following steps:

[0010] S1. Collect energy consumption data, raw material mining data and emission data in the production process, and then calculate the carbon emissions of the enterprise in year t. The specific calculation formula is as follows:

[0011]

[0012] Where: E co2,t —Carbon emissions of the production enterprise in year t (kgCO2e);

[0013] AD zj,t —Conversion amount of direct carbon emission electricity level data of the production enterprise in year t (kwh);

[0014] AD gc,t —Conversion amount of process carbon emission electricity level data of the production enterprise in year t (kwh);

[0015] AD jj,t —Conversion amount of indirect carbon emission electricity level data of the production enterprise in year t (kwh);

[0016] S2. Calculate the carbon footprint of the product with the following calculation formula:

[0017]

[0018] Where M i —Consumption of the i-th raw material (weight) (t);

[0019] F i—Carbon emission factor of the i-th raw material (kgCO2e / t);

[0020] Q—product output;

[0021] S3. Analyze the limiting conditions of product output, as follows:

[0022] N Max >Q>N Min ;

[0023] In the formula, Q is the product output;

[0024] S4. Analyze the carbon footprint of raw materials production, as follows:

[0025]

[0026] In the formula, F i —Carbon emission factor of the i-th raw material (kgCO2e / t);

[0027] —Total carbon emissions at the Nth tracing stage;

[0028] M i —Consumption of the i-th raw material (weight) (t);

[0029] F i —Carbon emission factor of the i-th raw material (kgCO2e / t);

[0030] Q—product output;

[0031] S5. Analysis of carbon footprint at the raw material mining stage is as follows:

[0032]

[0033] Where: E co2,t —Carbon emissions of production enterprises in the mining stage in year t (kgCO2e);

[0034] AD zj,t —Conversion amount of direct carbon emission electricity level data of production enterprises in year t during the mining stage (kwh);

[0035] AD gc,t —Conversion amount of process carbon emission electricity level data of production enterprises in year t during the mining stage (kwh);

[0036] AD jj,t —Conversion amount of indirect carbon emission electricity level data of production enterprises in the tth year during the mining stage (kwh);

[0037] HGH—the amount of carbon dioxide released to the environment during the mining of raw materials (kgCO2e);

[0038] S6. Carbon footprint analysis of the environment and carbon emissions, as follows:

[0039] HGH=HGHt+HGHs.

[0040] Preferably, in steps S2 and S4, D i It refers to the transportation distance of the i-th raw material from the transportation site to the production location.

[0041] Preferably, in the step S4, during the raw material production carbon footprint analysis, the restriction conditions for analyzing product output in step S3 are carried out.

[0042] Preferably, in step S6, HGHt is the amount of carbon dioxide released by soil destruction (kgCO2e), and HGHs is the amount of carbon dioxide released by forest destruction (kgCO2e).

[0043] Preferably, in steps S1 and S5, AD zs,t is the amount of carbon emission electricity level data conversion of renewable resources used by production enterprises in the tth year (kwh), and EF t is the greenhouse gas emission factor of purchased electricity of the production enterprise in year t (kgCO2e / kwh).

[0044] Preferably, in step S3, N Max is the maximum value of product output, and N Min is the minimum value of product output.

[0045] Preferably, in steps S2 and S4, D i is the transportation distance of the i-th raw material in km, and T i is the carbon emission factor per unit weight and transportation distance under the transportation mode of the i-th raw material [kgCO2e / (t·km)].

[0046] (III) Beneficial effects

[0047] The present invention provides a prediction method for carbon footprint traceability calculation. Compared with the prior art, it has the following beneficial effects: the prediction method for carbon footprint traceability calculation includes the calculation and prediction of the carbon footprint of raw material mining, the carbon footprint of raw material production, and the carbon footprint of raw material transportation and the impact of raw material mining on the environment through the traceability calculation of the carbon footprint. That is, it evaluates the entire life cycle of the product from the collection of raw materials to production and processing, transportation, consumption and final disposal. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent (CO2e). BRIEF DESCRIPTION OF THE DRAWINGS

[0048] Figure 1 It is a flow chart of the present invention. DETAILED DESCRIPTION

[0049] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0050] See also Figure 1 The embodiment of the present invention provides a technical solution: a prediction method for carbon footprint traceability calculation, including the calculation and prediction of carbon footprint of raw material mining, carbon footprint of raw material production, and carbon footprint of raw material transportation and environmental impact of raw material mining, that is, it evaluates the entire life cycle from raw material collection to production, processing, transportation, consumption and final disposal of the product. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent (CO2e). The prediction method for carbon footprint traceability calculation specifically includes the following steps:

[0051] S1. Collect energy consumption data, raw material mining data and emission data in the production process, and then calculate the carbon emissions of the enterprise in year t. The specific calculation formula is as follows:

[0052]

[0053] Where: E co2,t —Carbon emissions of the production enterprise in year t (kgCO2e);

[0054] AD zj,t —Conversion amount of direct carbon emission electricity level data of the production enterprise in year t (kwh);

[0055] AD gc,t —Conversion amount of process carbon emission electricity level data of the production enterprise in year t (kwh);

[0056] AD jj,t —Conversion amount of indirect carbon emission electricity level data of the production enterprise in year t (kwh);

[0057] S2. Calculate the carbon footprint of the product with the following calculation formula:

[0058]

[0059] Where M i —Consumption of the i-th raw material (weight) (t);

[0060] F i —Carbon emission factor of the i-th raw material (kgCO2e / t);

[0061] Q—product output;

[0062] S3. Analyze the limiting conditions of product output, as follows:

[0063] N Max >Q>N Min ;

[0064] In the formula, Q is the product output;

[0065] S4. Analyze the carbon footprint of raw materials production, as follows:

[0066]

[0067] In the formula, F i —Carbon emission factor of the i-th raw material (kgCO2e / t);

[0068] —Total carbon emissions at the Nth tracing stage;

[0069] M i —Consumption of the i-th raw material (weight) (t);

[0070] F i —Carbon emission factor of the i-th raw material (kgCO2e / t);

[0071] Q—product output;

[0072] S5. Analysis of carbon footprint at the raw material mining stage is as follows:

[0073]

[0074] Where: E co2,t —Carbon emissions of production enterprises in the mining stage in year t (kgCO2e);

[0075] AD zj,t —Conversion amount of direct carbon emission electricity level data of production enterprises in year t during the mining stage (kwh);

[0076] AD gc,t —Conversion amount of process carbon emission electricity level data of production enterprises in year t during the mining stage (kwh);

[0077] AD jj,t —Conversion amount of indirect carbon emission electricity level data of production enterprises in the tth year during the mining stage (kwh);

[0078] HGH—the amount of carbon dioxide released to the environment during the mining of raw materials (kgCO2e);

[0079] S6. Carbon footprint analysis of the environment and carbon emissions, as follows:

[0080] HGH=HGHt+HGHs.

[0081] In the embodiment of the present invention, in steps S2 and S4, D i It refers to the transportation distance of the i-th raw material from the transportation site to the production location.

[0082] In the embodiment of the present invention, in the process of performing carbon footprint analysis of raw material production in step S4, the restriction conditions for analyzing product output in step S3 are to be performed.

[0083] In the embodiment of the present invention, in step S6, HGHt is the amount of carbon dioxide released by soil destruction (kgCO2e), and HGHs is the amount of carbon dioxide released by forest destruction (kgCO2e).

[0084] In the embodiment of the present invention, in steps S1 and S5, AD zs,t is the amount of carbon emission electricity level data conversion of renewable resources used by production enterprises in the tth year (kwh), and EF t is the greenhouse gas emission factor of purchased electricity of the production enterprise in year t (kgCO2e / kwh).

[0085] In the embodiment of the present invention, in step S3, N Max is the maximum value of product output, and N Min The minimum value of product output.

[0086] In the embodiment of the present invention, in steps S2 and S4, D i is the transportation distance of the i-th raw material in km, and T i is the carbon emission factor per unit weight and transportation distance under the transportation mode of the i-th raw material [kgCO2e / (t·km)].

[0087] In summary, the present invention includes the calculation and prediction of the carbon footprint of raw material mining, the carbon footprint of raw material production, and the carbon footprint of raw material transportation and the impact of raw material mining on the environment through the traceability of carbon footprint. That is, it evaluates the entire life cycle of the product from the collection of raw materials to production, processing, transportation, consumption and final disposal. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent (CO2e).

[0088] Meanwhile, the contents not described in detail in this specification belong to the prior art known to those skilled in the art.

[0089] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0090] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. A prediction method for carbon footprint traceability calculation, characterized by: Including the calculation and prediction of carbon footprint of raw material mining, carbon footprint of raw material production, and carbon footprint of raw material transportation and raw material mining on the environment. During the calculation process, various greenhouse gas emissions will be recorded in detail and expressed in carbon dioxide equivalent. The prediction method of the carbon footprint traceability calculation specifically includes the following steps: S1. Collect energy consumption data, raw material mining data and emission data in the production process, and then calculate the carbon emissions of the enterprise in year t. The specific calculation formula is as follows: Where: E co2,t —Carbon emissions of the manufacturing enterprise in year t; AD zj,t —The amount of data conversion of direct carbon emission electricity level of the production enterprise in year t; AD gc,t —The amount of data conversion of process carbon emission electricity level of the production enterprise in year t; AD jj,t —The amount of data conversion of indirect carbon emission electricity level of the production enterprise in year t; S2. Calculate the carbon footprint of the product with the following calculation formula: Where M i —Consumption of the ith raw material; F i —Carbon emission factor of the i-th raw material; Q—product output; S3. Analyze the limiting conditions of product output, as follows: N Max >Q>N Min ; In the formula, Q is the product output; S4. Analyze the carbon footprint of raw materials production, as follows: In the formula, F i —Carbon emission factor of the i-th raw material; —Total carbon emissions at the Nth tracing stage; M i —Consumption of the ith raw material; F i —Carbon emission factor of the i-th raw material; Q—product output; S5. Analysis of carbon footprint at the raw material mining stage is as follows: Where: E co2,t —Carbon emissions of production enterprises in the mining stage in year t; AD zj,t —Conversion amount of direct carbon emission electricity level data of production enterprises in year t during the mining stage; AD gc,t —Conversion amount of process carbon emission electricity level data of production enterprises in year t during the mining stage; AD jj,t —Conversion amount of indirect carbon emission electricity level data of production enterprises in year t during the mining stage; HGH—the amount of carbon dioxide released during the mining of raw materials; S6. Carbon footprint analysis of the environment and carbon emissions, as follows: HGH=HGHt+HGHs.

2. A prediction method for carbon footprint tracing calculation according to claim 1, characterized in that: In steps S2 and S4, D i It refers to the transportation distance of the i-th raw material from the transportation site to the production location.

3. A prediction method for carbon footprint tracing calculation according to claim 1, characterized in that: In the process of analyzing the carbon footprint of raw material production in step S4, the restriction conditions of analyzing the product output in step S3 must be carried out.

4. A prediction method for carbon footprint tracing calculation according to claim 1, characterized in that: In step S6, HGHt is the amount of carbon dioxide released by soil destruction, and HGHs is the amount of carbon dioxide released by forest destruction.

5. The prediction method for carbon footprint tracing calculation according to claim 1 is characterized by: In steps S1 and S5, AD zs,t is the conversion amount of carbon emission electricity level data of renewable resources utilization of production enterprises in the tth year, and EF t is the greenhouse gas emission factor of purchased electricity of the production enterprise in year t.

6. A prediction method for carbon footprint tracing calculation according to claim 1, characterized in that: In step S3, N Max is the maximum value of product output, and N Min The minimum value of product output.

7. A prediction method for carbon footprint tracing calculation according to claim 1, characterized in that: In steps S2 and S4, D i is the transportation distance of the i-th raw material, and T i It is the carbon emission factor per unit weight and transportation distance under the transportation mode of the i-th raw material.

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