Method and system for calculating carbon footprint of high-energy-consuming product on basis of electro-carbon coupling

Abstract

The present invention relates to the technical field of carbon footprint calculation. Disclosed are a method and system for calculating a carbon footprint of a high-energy-consuming product on the basis of electro-carbon coupling. The method comprises: collecting data of electricity consumption and data of a carbon emission factor for electricity generation in the production process of a high-energy-consuming product; constructing an electro-carbon coupling model for describing the relationship between electricity consumption and carbon emission, and performing iterative optimization; using the electro-carbon coupling model combined with the collected electricity consumption data and the carbon emission factor for electricity within a corresponding time period to calculate carbon emissions of energy directly consumed for electricity generation during each phase; and analyzing and calculating indirect carbon emissions of raw materials and energy consumed during the other indirect stages in the production of the product, and verifying the result. Thus, the relationship between electricity consumption and carbon emission is more accurately reflected, the impact of time and place changes on carbon emission factors can be taken into consideration, and a method for comprehensively evaluating an overall carbon footprint of a product is provided, thereby facilitating more comprehensive understanding and management of the environmental impact of the product.

Description

A method and system for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling Technical Field

[0001] The present invention relates to the technical field of carbon footprint calculation, and in particular to a method and system for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling. Background Art

[0002] With global warming and the proposed goal of carbon neutrality, higher demands are being placed on reducing carbon emissions. The power industry, a high-carbon-emitting sector, is actively promoting green and low-carbon development. The selection of power carbon emission factors typically relies on nationally published emission factors for carbon verification or power carbon footprint values ​​from internationally accepted background databases. This results in inaccurate product carbon footprint accounting and analysis, lacks data support for corporate green transformation efforts, and is unable to meet green procurement requirements for power grids. This is detrimental to promoting low-carbon development across the power industry and related upstream and downstream companies.

[0003] Traditional carbon footprint accounting methods, based on activity data and emission factors, are the most common approach. This method calculates carbon emissions by multiplying activity data (e.g., fuel consumption, electricity usage, etc.) with corresponding emission factors (i.e., the amount of carbon emissions generated per unit of activity). This approach often fails to consider how energy mix and carbon emission factors vary over time and location, potentially leading to inaccurate or outdated estimates.

[0004] Life cycle assessment (LCA) is a more comprehensive approach that considers the carbon emissions of a product throughout its entire life cycle, from raw material collection, manufacturing, use, and disposal. LCA typically requires extensive data and complex calculations. It also lacks flexibility to account for the specific details of different products and industries.

[0005] Direct measurement involves measuring carbon emissions directly at the source, such as through smokestack emissions monitoring. This is expensive and only applies to direct emissions; it cannot effectively estimate indirect emissions.

[0006] Our invention more accurately reflects the impact of electricity consumption on carbon emissions by constructing an electricity-carbon coupling model that describes the relationship between electricity consumption and carbon emissions.

[0007] Summary of the Invention

[0008] In view of the above-mentioned problems, the present invention is proposed.

[0009] Therefore, the problem to be solved by the present invention is: how to accurately calculate the carbon footprint of high-energy-consuming products.

[0010] To solve the above technical problems, the present invention provides the following technical solutions: a method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling, comprising: collecting data on electricity consumption and carbon emission factors of generated electricity during the production process of high-energy-consuming products; constructing an electricity-carbon coupling model that describes the relationship between electricity consumption and carbon emissions, and iteratively optimizing it; using the electricity-carbon coupling model, combining the collected electricity consumption data and the electricity carbon emission factors within the corresponding time period to calculate the carbon emissions of the directly consumed energy generated by electricity in each stage; analyzing and calculating the indirect carbon emissions of energy consumed by raw materials and other indirect links in product production, and verifying the results.

[0011] As a preferred embodiment of the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling described in the present invention, the carbon emission factor of the generated electricity includes the carbon emission factor of coal-fired power generation, the carbon emission factor of natural gas power generation, the carbon emission factor of oil power generation, and the carbon emission factor of renewable energy power generation; the carbon emission factor of coal-fired power generation is expressed as:

[0012] Among them, EF 煤 is the carbon emission factor of coal-fired power generation, M is the amount of coal burned, F M is the carbon content of coal, E is the power generation; the carbon emission factor of natural gas power generation is expressed as:

[0013] Among them, EF 气 is the carbon emission factor of coal-fired power generation, G is the amount of natural gas burned, F G is the carbon content of natural gas; the carbon emission factor of oil-fired power generation is expressed as:

[0014] Among them, EF 油 is the carbon emission factor of oil-fired power generation, M is the amount of oil burned, and F M is the carbon content of oil; the carbon emission factor of the new energy power generation is zero.

[0015] As a preferred solution of the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling described in the present invention, the electricity-carbon coupling model is expressed as:

[0016] Among them, C 直接 is the direct carbon emission, α and β are model parameters, E e is the electricity consumption, EF is the carbon emission factor, ε is the error term, f i (X i ) are other factors that affect carbon emissions; the other factors that affect carbon emissions include climate factors, geographical location factors and power generation efficiency factors.

[0017] As a preferred solution of the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling described in the present invention, the iterative optimization includes: giving an initial value α (0) and β (0) , the loss function is defined as:

[0018] Among them, L is the loss function, m is the number of data points, j is the jth data point, C 实际，j is the actual carbon emissions at point j, C 模型，j Calculate the carbon emissions for the electric-carbon coupling model at point j; calculate the gradient of the loss function and update the parameters based on the gradient and learning rate, expressed as:

[0019] Among them, α (t+1) is α after the t+1th iteration, α (t) is α after the tth iteration, λ is the learning rate, β (t+1) is β after the t+1th iteration, β (t) is β after the tth iteration.

[0020] As a preferred solution of the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling described in the present invention, the iterative optimization further includes, after each iteration, calculating C 实际，j with C 模型，j The difference is compared with the model threshold. If the difference is less than the model threshold, the iteration stops and the model training is completed. If the difference is still greater than the model threshold after the iteration number threshold number of iterations, the model does not meet the expected standards. Re-evaluate and adjust the model, including adjusting the complexity of the model, optimizing feature selection and adjusting model parameters, carefully analyze the data quality, and re-adjust the parameters.

[0021] As a preferred solution of the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling described in the present invention, the indirect carbon emissions are expressed as:

[0022] Among them, C 间接 is indirect carbon emissions, P is the total number of production links, Q is the number of steps in the p-th production link, p is the p-th production link, q is the q-th step, and E pq is the direct energy consumption of the qth step in the pth production link, EF pq is the carbon emission factor of the energy consumption of the qth step in the pth production link, L pq is the logistics energy consumption of the qth step in the pth production link, is the carbon emission factor of logistics energy consumption, D pqis the coefficient reflecting the indirect impact of each step; C = C 直接 +C 间接

[0023] Where C is the total carbon emissions.

[0024] As a preferred embodiment of the method for calculating the carbon footprint of high-energy-consuming products based on electric-carbon coupling described in the present invention, the verification of the results includes comparing the total carbon emissions with the actual total carbon emissions. If the difference between the total carbon emissions and the actual total carbon emissions is less than the verification threshold, the carbon footprint calculation is reasonable, and the method is used to monitor the carbon footprint in real time and gradually reduce carbon emissions; if the difference between the total carbon emissions and the actual total carbon emissions is greater than the verification threshold, the carbon footprint calculation is unreasonable, and the parameters of the model are checked and adjusted to improve data quality, the features used by the model are re-evaluated and adjusted, and the carbon emissions accounting is re-performed.

[0025] Another object of the present invention is to provide a system for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling, which can solve the problem of calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling by constructing a system for calculating the carbon footprint of high-energy-consuming products.

[0026] To solve the above technical problems, the present invention provides the following technical solutions: a system for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling, comprising a data acquisition module, a data processing and analysis module, an electricity-carbon coupling model module, a carbon emission accounting module and a verification and adjustment module; the data acquisition module is responsible for collecting all necessary data related to the production of high-energy-consuming products, including electricity consumption data, raw material usage data, and logistics data; the data processing and analysis module processes the collected data for further analysis; the electricity-carbon coupling model module uses the processed data to construct and run the electricity-carbon coupling model according to the provided methods and formulas; the carbon emission accounting module uses the output of the electricity-carbon coupling model to calculate the total carbon footprint of high-energy-consuming products; and the verification and adjustment module verifies and adjusts the calculated carbon footprint.

[0027] A computer device includes a memory and a processor, wherein the memory stores a computer program, and is characterized in that when the processor executes the computer program, it implements the steps of the above-mentioned method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling.

[0028] A computer-readable storage medium having a computer program stored thereon, characterized in that when the computer program is executed by a processor, the steps of the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling as described above are implemented.

[0029] The present invention has the following beneficial effects: The method provided by the present invention for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling uses an electricity-carbon coupling model to more accurately reflect the relationship between electricity consumption and carbon emissions, especially in different types of energy generation (such as coal, natural gas, and new energy). It can consider the impact of time and location changes on carbon emission factors, providing an effective tool for carbon footprint accounting in dynamic environments. By including direct energy consumption and energy consumption of raw materials and other indirect links in production, it provides a way to comprehensively evaluate the overall carbon footprint of a product, which helps to more comprehensively understand and manage the environmental impact of products. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the description of the embodiments. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0031] FIG1 is an overall flow chart of a method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling provided by the first embodiment of the present invention.

[0032] FIG2 is a structural diagram of a system for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling, provided by a second embodiment of the present invention. DETAILED DESCRIPTION

[0033] In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the specific embodiments of the present invention are described in detail below with reference to the accompanying drawings.

[0034] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those described herein. Those skilled in the art may make similar generalizations without violating the connotation of the present invention. Therefore, the present invention is not limited to the specific embodiments disclosed below.

[0035] Example 1

[0036] Referring to Figure 1, which is the first embodiment of the present invention, a method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling is provided, including: collecting data on electricity consumption and carbon emission factors of generated electricity during the production process of high-energy-consuming products; constructing an electricity-carbon coupling model that describes the relationship between electricity consumption and carbon emissions, and iteratively optimizing it; using the electricity-carbon coupling model, combined with the collected electricity consumption data and the electricity carbon emission factors within the corresponding time period, to calculate the carbon emissions of the directly consumed energy generated by electricity in each stage; analyzing and calculating the indirect carbon emissions of the energy consumed by raw materials and other indirect links in product production, and verifying the results.

[0037] The carbon emission factors for generating electricity include the carbon emission factors for coal-fired power generation, natural gas power generation, oil power generation and new energy power generation.

[0038] The carbon emission factor for coal-fired power generation is expressed as:

[0039] Among them, EF 煤 is the carbon emission factor of coal-fired power generation, M is the amount of coal burned, F M is the carbon content of coal, and E is the power generation.

[0040] The carbon emission factor of natural gas power generation is expressed as:

[0041] Among them, EF 气 is the carbon emission factor of coal-fired power generation, G is the amount of natural gas burned, F G is the carbon content of natural gas.

[0042] The carbon emission factor for oil-fired power generation is expressed as:

[0043] Among them, EF 油 is the carbon emission factor of oil-fired power generation, M is the amount of oil burned, and F M is the carbon content of petroleum. It is the molecular weight conversion factor from carbon (C) to carbon dioxide (CO2). This is because the atomic weight of carbon is about 12, while the molecular weight of carbon dioxide is about 44. The carbon emission factor for renewable energy power generation is zero.

[0044] The electric-carbon coupling model is expressed as:

[0045] Among them, C 直接 is the direct carbon emission, α and β are model parameters, α represents the basic emission coefficient related to electricity consumption, β represents the nonlinear degree of the relationship between electricity consumption and carbon emissions, E e is the electricity consumption, EF is the carbon emission factor, which is the sum of the carbon emission factor of electricity generation and the carbon emission factor of electricity consumption, ε is the error term, which represents the random factors not considered by the model, and f i (X i ) are other factors that affect carbon emissions; other factors that affect carbon emissions include climate factors, geographical location factors and power generation efficiency factors.

[0046] Iterative optimization includes, given an initial value α (0) and β (0) , the loss function is defined as:

[0047] Among them, L is the loss function, m is the number of data points, j is the jth data point, C 实际，j is the actual carbon emissions at point j, C 模型，j Calculate the carbon emissions for the electric-carbon coupling model at point j; calculate the gradient of the loss function and update the parameters based on the gradient and learning rate, expressed as:

[0048] Among them, α (t+1) is α after the t+1th iteration, α (t) is α after the tth iteration, λ is the learning rate, β (t+1) is β after the t+1th iteration, β (t) is β after the tth iteration.

[0049] After each iteration, calculate C 实际，j with C 模型，j The difference is compared with the model threshold. If the difference is less than the model threshold, the iteration stops and the model training is completed. If the difference is still greater than the model threshold after the iteration number threshold number of iterations, the model does not meet the expected standards. Re-evaluate and adjust the model, including adjusting the complexity of the model, optimizing feature selection and adjusting model parameters, carefully analyze the data quality, and re-adjust the parameters.

[0050] Indirect carbon emissions are expressed as:

[0051] Among them, C 间接 is indirect carbon emissions, P is the total number of production links, Q is the number of steps in the p-th production link, p is the p-th production link, q is the q-th step, and E pq is the direct energy consumption of the qth step in the pth production link, EF pq is the carbon emission factor of the energy consumption of the qth step in the pth production link, L pq is the logistics energy consumption of the qth step in the pth production link, is the carbon emission factor of logistics energy consumption, D pq It is the coefficient reflecting the indirect impact of each step. C=C 直接 +C 间接

[0052] Where C is the total carbon emissions.

[0053] Verification of the results includes comparing the total carbon emissions with the actual total carbon emissions. If the difference between the total carbon emissions and the actual total carbon emissions is less than the verification threshold, the carbon footprint accounting is reasonable, and the method is used to monitor the carbon footprint in real time and gradually reduce carbon emissions. If the difference between the total carbon emissions and the actual total carbon emissions is greater than the verification threshold, the carbon footprint accounting is unreasonable, and the model parameters are checked and adjusted to improve data quality, the features used in the model are re-evaluated and adjusted, and the carbon emissions accounting is re-performed.

[0054] Example 2

[0055] [Corrected 19.09.2024 according to Rule 91] Referring to Figure 2, which is a second embodiment of the present invention, it is different from the previous embodiment in that it provides a system for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling, including: a data acquisition module, a data processing and analysis module, an electricity-carbon coupling model module, a carbon emission accounting module and a verification and adjustment module.

[0056] The data acquisition module is responsible for collecting all necessary data related to the production of high-energy-consuming products, including electricity consumption data, raw material usage data, and logistics data.

[0057] The data processing and analysis module processes the collected data and performs further analysis.

[0058] The electric-carbon coupling model module uses the processed data to build and run the electric-carbon coupling model according to the provided methods and formulas.

[0059] The carbon emission accounting module uses the output of the electricity-carbon coupling model to calculate the total carbon footprint of high-energy-consuming products.

[0060] The verification and adjustment module verifies and adjusts the calculated carbon footprint.

[0061] If the functions are implemented in the form of software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the part that contributes to the prior art, or the part of the technical solution, can be embodied in the form of a software product. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, a server, or a network device, etc.) to execute all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes various media that can store program codes, such as a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0062] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as an ordered list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device.

[0063] More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic devices), a random access memory (RAM), a read-only memory (ROM), an erasable and programmable read-only memory (EPROM or flash memory), a fiber optic device, and a portable compact disc read-only memory (CDROM). In addition, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium, followed by editing, deciphering, or processing in another suitable manner as necessary, and then stored in a computer memory.

[0064] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0065] Example 3

[0066] The third embodiment of the present invention is different from the first two embodiments in that it is used to verify the technical effects adopted in the present invention in order to verify the real effects of the method.

[0067] Evaluate and compare the effectiveness of our invented method and traditional methods in carbon footprint accounting for high-energy-consuming products (such as steel or cement production). Collect historical energy consumption, production data, and carbon emission data. Obtain current energy consumption and production data. Simulate data for a time range of 1 month to 3 months to demonstrate temporal dynamic adaptability. Energy types include different types of energy consumption data such as coal, natural gas, oil, and renewable energy. Select production facilities in different geographical locations to test geographical adaptability. Use different carbon emission factors, including carbon emission factors for coal, natural gas, oil, and renewable energy power generation. Output total carbon emissions, direct and indirect carbon emissions, error rate, and accuracy.

[0068] By running simulations under these conditions, you can effectively demonstrate how your invention performs in real-world applications, particularly its advantages over traditional methods in terms of accuracy, adaptability, and flexibility. Such simulation results can serve as a compelling demonstration of your invention and help attract potential users and investors.

[0069] This embodiment uses the traditional method and our invented method to perform detection simultaneously, and the detection comparison results are shown in the following table:

[0070] Table 1 Comparison between traditional method and our invented method

[0071] From the above comparison results, it can be seen that the average error rate of our invented method is 4.7%, which is 6.4% lower than the 11.1% of the traditional method; the carbon emission estimation accuracy is 90.7%, which is 4.5% higher than the 86.2% of the traditional method; the direct emission estimation error is 4.2%, which is 5.2% lower than the 9.4% of the traditional method; the indirect emission estimation error is 5.2%, which is 7.6% lower than the 12.8% of the traditional method.

[0072] It should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling, characterized in that: include, Collect data on electricity consumption and carbon emission factors of electricity generated during the production of energy-intensive products; Construct an electricity-carbon coupling model that describes the relationship between electricity consumption and carbon emissions, and optimize iteratively; Use the electricity-carbon coupling model to combine the collected electricity consumption data and the electricity carbon emission factor in the corresponding time period to calculate the carbon emissions of the energy directly consumed in the electricity generation at each stage; Analyze and calculate indirect carbon emissions from energy consumed in raw materials and other indirect links in product production, and verify the results.

2. The method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling according to claim 1, characterized in that: The carbon emission factors of generated electricity include the carbon emission factors of coal-fired power generation, natural gas-fired power generation, petroleum-fired power generation and new energy-fired power generation; The carbon emission factor of coal-fired power generation is expressed as, Among them, EF 煤 is the carbon emission factor of coal-fired power generation, M is the amount of coal burned, and F M is the carbon content of coal, E is the power generation; The carbon emission factor of natural gas power generation is expressed as, Among them, EF 气 is the carbon emission factor of coal-fired power generation, G is the amount of natural gas burned, and F G is the carbon content of natural gas; The carbon emission factor of oil-fired power generation is expressed as, Among them, EF 油 is the carbon emission factor of oil-fired power generation, M is the amount of oil burned, and F M is the carbon content of petroleum; The carbon emission factor of the new energy power generation is zero.

3. The method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling as claimed in claim 2, characterized in that: The electric-carbon coupling model is expressed as: Among them, C 直接 is the direct carbon emission, α and β are the model parameters, E e is the electricity consumption, EF is the carbon emission factor, ε is the error term, and f i (X i ) are other factors affecting carbon emissions; The other factors affecting carbon emissions include climate factors, geographical location factors and power generation efficiency factors.

4. The method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling as claimed in claim 3, characterized in that: The iterative optimization includes, given an initial value α (0) and β (0) , the loss function is defined as, Among them, L is the loss function, m is the number of data points, j is the jth data point, and C 实际，j is the actual carbon emission at point j, C 模型，j Calculate carbon emissions for the electric-carbon coupling model at point j; Calculate the gradient of the loss function and update the parameters according to the gradient and learning rate, expressed as, Among them, α (t+1) is the α after the t+1th iteration, α (t) is α after the tth iteration, λ is the learning rate, β (t+1) is the β after the t+1th iteration, β (t) is β after the tth iteration.

5. The method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling according to claim 4, characterized in that: The iterative optimization further includes, after each iteration, calculating C 实际，j With C 模型，j The difference is compared with the model threshold. If the difference is less than the model threshold, the iteration stops and the model training is completed. If the difference is still greater than the model threshold after a threshold number of iterations, the model does not meet the expected standards and the model should be re-evaluated and adjusted, including adjusting the complexity of the model, optimizing feature selection, and adjusting model parameters. The data quality should be carefully analyzed and the parameters should be re-adjusted.

6. The method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling according to claim 5, characterized in that: The indirect carbon emissions are expressed as, Among them, C 间接 is indirect carbon emissions, P is the total number of generation links, Q is the number of steps in the p-th generation link, p is the p-th production link, q is the q-th step, and E pq is the direct energy consumption of the qth step in the pth production link, EF pq is the carbon emission factor of the energy consumption in the qth step of the pth production link, L pq is the logistics energy consumption of the qth step in the pth production link, is the carbon emission factor of logistics energy consumption, D pq is the coefficient reflecting the indirect impact of each step; C=C 直接 +C 间接 Among them, C is the total carbon emissions.

7. The method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling according to claim 6, characterized in that: The verification of the results includes comparing the total carbon emissions with the actual total carbon emissions. If the difference between the total carbon emissions and the actual total carbon emissions is less than the verification threshold, the carbon footprint calculation is reasonable, and the method is used to monitor the carbon footprint in real time and gradually reduce carbon emissions; If the difference between the total carbon emissions and the actual total carbon emissions is greater than the verification threshold, the carbon footprint accounting is unreasonable. Check and adjust the parameters of the model, improve data quality, re-evaluate and adjust the features used in the model, and recalculate carbon emissions.

8. A system using the method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling as claimed in any one of claims 1 to 7, characterized in that: Including data acquisition module, data processing and analysis module, electricity-carbon coupling model module, carbon emission accounting module and verification and adjustment module; The data collection module is responsible for collecting all necessary data related to the production of high-energy-consuming products, including power consumption data, raw material usage data, and logistics data; The data processing and analysis module processes the collected data and performs further analysis; The electric-carbon coupling model module constructs and runs the electric-carbon coupling model using the processed data according to the provided methods and formulas; The carbon emission accounting module uses the output of the electricity-carbon coupling model to calculate the total carbon footprint of high-energy-consuming products; The verification and adjustment module verifies and adjusts the calculated carbon footprint.

9. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of a method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of a method for calculating the carbon footprint of high-energy-consuming products based on electricity-carbon coupling as described in any one of claims 1 to 7 are implemented.

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