Carbon footprint accounting method and system for power grid material product based on lca

Abstract

The present invention relates to the technical field of carbon footprint accounting. Disclosed are a carbon footprint accounting method and system for a power grid material product based on life cycle assessment (LCA). The method comprises: on the basis of an LCA method, building a product carbon footprint model for a power grid material product; collecting power grid material product data, and on the basis of the collected data, accounting the carbon emission of the power grid material product from the raw material acquisition stage to the scrap recovery stage; during carbon footprint accounting, selecting power carbon emission factors of different grades in each stage, and accounting the power carbon emission; and on the basis of the accounted data, performing high-precision real-time carbon footprint accounting of the power grid material product in the whole life cycle. The environmental impacts of the product are assessed more accurately. Moreover, real-time accounting can reflect any change or improvement effect in time. By means of the comprehensive carbon footprint analysis, detailed carbon footprint accounting can reveal high-emission activities, provide data support for optimization of the product design and production process, and reduce the overall carbon emission.

Description

A method and system for calculating the carbon footprint of power grid material products based on LCA 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 power grid material products based on LCA. Background Art

[0002] With global warming and the proposed goal of carbon neutrality, higher requirements are being placed on reducing carbon emissions. The power industry, a high-carbon-emitting industry, is actively promoting green and low-carbon development. As core materials and equipment for power grids, power grid materials emit relatively high levels of carbon during their production and use. However, in the carbon footprint accounting and analysis of power grid material products, the selection of power carbon emission factors typically uses nationally published emission factors for carbon verification or power carbon footprint values ​​from internationally accepted background databases. This results in inaccurate carbon footprint accounting and analysis of power grid material products, a lack of data support for corporate green transformation, and an inability to meet green procurement requirements for the power grid, hindering the promotion of low-carbon development for the entire power industry and related upstream and downstream companies.

[0003] Life Cycle Assessment (LCA) is a methodology used to evaluate the environmental impact of a product, process, or service throughout its cradle-to-grave lifecycle (from the extraction and processing of raw materials to the use, recycling, or disposal of the final product). The primary purpose of LCA is to identify and quantify energy use, resource consumption, and environmental emissions throughout the lifecycle of a product or service.

[0004] Summary of the Invention

[0005] In view of the above-mentioned problems, the present invention is proposed.

[0006] Therefore, the problem to be solved by the present invention is: how to solve the problem of calculating the carbon footprint of power grid material products.

[0007] To solve the above technical problems, the present invention provides the following technical solutions: a method for calculating the carbon footprint of power grid material products based on LCA, comprising: establishing a product carbon footprint model for power grid material products based on the life cycle assessment method; collecting power grid material product data, and calculating the carbon emissions of power grid material products at each stage from raw material acquisition to scrapping and recycling based on the collected data; in the carbon footprint calculation, selecting electricity carbon emission factors of different levels in each stage to calculate electricity carbon emissions; and combining the calculated data to complete high-precision real-time carbon footprint calculation of the entire life cycle of power grid material products.

[0008] As a preferred embodiment of the method for calculating the carbon footprint of power grid material products based on LCA described in the present invention, the product carbon footprint model includes the stages of raw material acquisition, transportation, production and manufacturing, product transportation and delivery, product use, and scrapping and recycling; the power grid material product data includes the raw material usage, composition, transportation distance, energy consumption information of the power grid material products, as well as energy consumption and gas emission data during the production process.

[0009] As a preferred embodiment of the method for calculating the carbon footprint of power grid materials and products based on LCA described in the present invention, the carbon emissions at each stage include the carbon emissions at the raw material acquisition stage, the carbon emissions at the transportation stage, the carbon emissions at the manufacturing stage, the carbon emissions at the product transportation and delivery stage, the carbon emissions at the product use stage, and the carbon emissions at the scrapping and recycling stage; the carbon emissions at the raw material acquisition stage are expressed as: IP i =R i ×EFC pmi

[0010] Among them, C rm is the carbon emission in the raw material acquisition stage, i is the i-th raw material, n is the total number of raw materials, Q i is the quantity of the i-th raw material, EFC i is the direct carbon emission coefficient of the i-th raw material, IP i is the indirect carbon emission of the i-th raw material, R i EFC is the energy required for the production and processing of the i-th raw material. pmi is the carbon emission coefficient of the production and processing energy of the i-th raw material; the carbon emission in the transportation stage is expressed as: IP trj =E trj ×EFC trj

[0011] Among them, C tr is the carbon emission in the transportation stage, j is the jth transportation, m is the total number of transportations, D j is the distance of the jth transport, TFC j is the carbon emission coefficient of the jth transport, W j is the weight of the cargo transported for the jth time, IP trj is the indirect carbon emission of the jth transport, E trj is the energy consumption of the jth transport, EFC trj is the carbon emission coefficient of the energy used in the j-th transportation.

[0012] As a preferred solution of the method for calculating the carbon footprint of power grid materials products based on LCA described in the present invention, the carbon emissions in the manufacturing stage are expressed as: Cman =(EC×EFC en )+GP+IP man

[0013] Among them, C man is the carbon emissions during the manufacturing phase, EC is the energy consumption during the production process, and EFC is en is the carbon emission coefficient of energy used, GP is the amount of gas escaped during the production process, IP man is the indirect carbon emissions in the manufacturing process, k is the kth production link, l is the total number of production links, is the energy consumption of the kth production link, is the carbon emission coefficient of the energy in the k-th production link; the carbon emission in the product transportation and delivery stage is expressed as: C td =D td ×TFC td ×W td +IP td IP td =E td ×EFC td

[0014] Among them, C td is the carbon emissions during the product transportation and delivery phase, D td TFC is the transportation distance of the product during the delivery phase. td is the carbon emission coefficient of the transportation mode, W td is the cargo weight, IP td is the indirect carbon emissions during the product transportation and delivery phase, E td Other energy consumption during transportation, EFC td is the carbon emission coefficient of other energy-consuming activities; the carbon emissions during the product use phase are expressed as: C use =(EU×EFC en )+IP use IP use =EU aux ×EFC en

[0015] Among them, C use is the carbon emissions during the product use phase, EU is the energy consumption during the product use phase, IP use For indirect carbon emissions during use, EU aux is the energy consumption of auxiliary equipment during use; the carbon emissions during the scrapping and recycling stage are expressed as: C rec =((ED rec ×EFC en )-SC)+IP rec IPrec =(E pr ×EFC pe )-SR

[0016] Among them, C rec is the carbon emissions during the scrapping and recycling stage, ED rec is the energy consumption for processing and transportation, SC is the carbon emissions saved by recycling materials, IP is rec E is the indirect carbon emissions from the waste recycling process. pr EFC is the energy consumption of the treatment and recovery process. pe is the carbon emission factor for processing and recovery energy, and SR is the carbon emission reduction by recycling materials.

[0017] As a preferred solution of the method for calculating the carbon footprint of power grid material products based on LCA described in the present invention, the power carbon emission factor includes setting low, medium and high level thresholds at each stage from raw material acquisition to scrap recycling, and calculating the power carbon emission factor according to different levels; in the raw material acquisition stage, if C rm <C rmL , then the low-level carbon emissions are in the raw material acquisition stage, and the low-level electricity carbon emission factor in the raw material acquisition stage is expressed as:

[0018] Among them, EFC rmL is the carbon emission factor of low-grade electricity in the raw material acquisition stage, E iL is the energy consumption of the i-th raw material at a low level; if C rmL <C rm <C rmH , then the carbon emission level in the raw material acquisition stage is medium. The carbon emission factor in the raw material acquisition stage is expressed as:

[0019] Among them, EFC rmM is the carbon emission factor of medium-level electricity in the raw material acquisition stage, E iM is the energy consumption of the middle grade of the i-th raw material; if C rm >C rmH , then the high-level carbon emissions are in the raw material acquisition stage, and the high-level carbon emission factor in the raw material acquisition stage is expressed as:

[0020] Among them, EFC rmH is the carbon emission factor of high-grade electricity in the raw material acquisition stage, E iHis the energy consumption when the i-th raw material is of high grade; the electricity carbon emission factors of different levels are calculated in the transportation stage, production and manufacturing stage, product transportation and delivery stage, product use stage and scrap recycling stage respectively, and the electricity carbon emissions are calculated according to the electricity carbon emission factors of different levels in different stages and the carbon emissions in each stage.

[0021] As a preferred embodiment of the method for calculating the carbon footprint of power grid materials and products based on LCA described in the present invention, the calculation of electricity carbon emissions includes calculating electricity carbon emissions according to the electricity carbon emission factors of each level and the carbon emissions of each stage during the stages of raw material acquisition, transportation, production and manufacturing, product transportation and delivery, product use and scrapping and recycling, expressed as: CP zx =EFC zx ×C z

[0022] Among them, CP zx For the electricity carbon emissions of stage z and level x, EFC zx is the carbon emission factor of electricity at level x in stage z, C z is the carbon emissions in stage z.

[0023] As a preferred embodiment of the method for calculating the carbon footprint of power grid material products based on LCA described in the present invention, the high-precision real-time carbon footprint calculation for the entire life cycle includes summing up the calculated carbon emissions of all stages to obtain the carbon footprint calculation for the entire product life cycle, which is expressed as:

[0024] Among them, CP is the carbon footprint accounting of the entire product life cycle; if CP is lower than the low threshold of carbon footprint accounting for the entire product life cycle, the environmental impact of the product is within an acceptable range or performs excellently, and the current model continues to be maintained; if CP is between the low threshold of carbon footprint accounting for the entire product life cycle and the medium threshold of carbon footprint accounting for the entire product life cycle, it indicates that the environmental impact of the product is at a general level, and energy use and production processes should be reviewed, emission reduction potential should be identified, and energy efficiency improvement measures should be implemented; if CP is between the medium threshold of carbon footprint accounting for the entire product life cycle and the high threshold of carbon footprint accounting for the entire product life cycle, focus on high-emission activities, formulate specific emission reduction plans, invest in clean energy technologies, improve logistics and supply chain management, and reduce transportation emissions; if CP exceeds the high threshold of carbon footprint accounting for the entire product life cycle, the environmental impact of the product is too high, and strategic adjustments and improvements should be made, products should be redesigned, and low-carbon technologies should be adopted.

[0025] Another object of the present invention is to provide a system for calculating the carbon footprint of power grid material products based on LCA, which can solve the problem of calculating the carbon footprint of power grid material products based on LCA by constructing a system for calculating the carbon footprint of power grid material products.

[0026] To solve the above technical problems, the present invention provides the following technical solutions: a system for calculating the carbon footprint of power grid material products based on LCA, comprising a data acquisition module, a carbon footprint model establishment module, a carbon emissions calculation module, an electricity carbon emission factor calculation module and an electricity carbon emission accounting module; the data acquisition module collects all relevant data of power grid material products, including raw material usage, composition, transportation distance, energy consumption information, and energy consumption and gas emission data in the production process; the carbon footprint model establishment module constructs a product carbon footprint model based on the collected data and life cycle assessment method, and the model covers each stage from raw material acquisition, transportation, production and manufacturing, product transportation and delivery, product use to scrapping and recycling; the carbon emissions calculation module calculates the carbon emissions of each stage according to the carbon footprint model and the collected data; the electricity carbon emission factor calculation module calculates the electricity carbon emission factors of different levels in each stage; the electricity carbon emission accounting module calculates the electricity carbon emissions according to the electricity carbon emission factors of different levels in different stages and the carbon emissions of each stage.

[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 power grid material products based on LCA.

[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 above-mentioned method for calculating the carbon footprint of power grid material products based on LCA are implemented.

[0029] The beneficial effects of the present invention are as follows: the method provided by the present invention for calculating the carbon footprint of power grid material products based on LCA more accurately evaluates the environmental impact of products by calculating the carbon footprint of power grid material products throughout their entire life cycle, from raw material acquisition to scrapping and recycling. At the same time, real-time calculations can promptly reflect the effects of any changes or improvements. By analyzing energy consumption and carbon emissions at different stages, it helps identify the potential for energy conservation and emission reduction, thereby promoting more efficient resource use and energy efficiency improvements. Through comprehensive carbon footprint analysis, we can better understand and manage the environmental impact of products throughout their life cycle. Detailed carbon footprint calculations can reveal high-emission activities, provide data support for the optimization of product design and production processes, and help reduce overall carbon emissions. 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 power grid material products based on LCA, provided by a first embodiment of the present invention.

[0032] FIG2 is a structural diagram of a system for calculating the carbon footprint of power grid material products based on LCA, 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 a first embodiment of the present invention, a method for calculating the carbon footprint of power grid material products based on LCA is provided, including: establishing a product carbon footprint model for power grid material products based on a life cycle assessment method; collecting power grid material product data, and calculating the carbon emissions of power grid material products at each stage from raw material acquisition to scrapping and recycling based on the collected data; in the carbon footprint calculation, selecting electricity carbon emission factors of different levels at each stage to calculate electricity carbon emissions; and combining the calculated data to complete high-precision real-time carbon footprint calculation of the entire life cycle of power grid material products.

[0037] The product carbon footprint model includes the stages of raw material acquisition, transportation, manufacturing, product transportation and delivery, product use, and end-of-life recycling.

[0038] Power grid material product data includes raw material usage, composition, transportation distance, energy consumption information, as well as energy consumption and gas emission data during the production process.

[0039] The carbon emissions at each stage include carbon emissions in the raw material acquisition stage, carbon emissions in the transportation stage, carbon emissions in the production and manufacturing stage, carbon emissions in the product transportation and delivery stage, carbon emissions in the product use stage, and carbon emissions in the scrapping and recycling stage.

[0040] The carbon emissions during the raw material acquisition stage are expressed as: IP i =R i ×EFC pmi

[0041] Among them, C rm is the carbon emission in the raw material acquisition stage, i is the i-th raw material, n is the total number of raw materials, Q i is the quantity of the i-th raw material, EFC i is the direct carbon emission coefficient of the i-th raw material, IP i is the indirect carbon emission of the i-th raw material, R i EFC is the energy required for the production and processing of the i-th raw material. pmi is the carbon emission coefficient of the production and processing energy of the i-th raw material.

[0042] The carbon emissions during the transportation phase are expressed as: IP trj =E trj ×EFC trj

[0043] Among them, C tr is the carbon emission in the transportation stage, j is the jth transportation, m is the total number of transportations, D j is the distance of the jth transport, TFC j is the carbon emission coefficient of the jth transport, W j is the weight of the cargo transported for the jth time, IP trj is the indirect carbon emission of the jth transport, E trj is the energy consumption of the jth transport, EFC trj is the carbon emission coefficient of the energy used in the j-th transportation.

[0044] The carbon emissions during the manufacturing phase are expressed as: C man =(EC×EFC en )+GP+IP man

[0045] Among them, C man is the carbon emissions during the manufacturing phase, EC is the energy consumption during the production process, and EFC is en is the carbon emission coefficient of energy used, GP is the amount of gas escaped during the production process, IP man is the indirect carbon emissions in the manufacturing process, k is the kth production link, l is the total number of production links, is the energy consumption of the kth production link, is the carbon emission coefficient of energy in the kth production link.

[0046] The carbon emissions during the product transportation and delivery phase are expressed as: C td =D td ×TFC td ×W td +IP td IP td =E td ×EFC td

[0047] Among them, C td is the carbon emissions during the product transportation and delivery phase, D td TFC is the transportation distance of the product during the delivery phase. td is the carbon emission coefficient of the transportation mode, W td is the cargo weight, IP td is the indirect carbon emissions during the product transportation and delivery phase, E td Other energy consumption during transportation, EFC td is the carbon emission coefficient of energy from other energy-consuming activities.

[0048] The carbon emissions during the product use phase are expressed as: C use =(EU×EFC en )+IP use IP use =EU aux ×EFC en

[0049] Among them, C use is the carbon emissions during the product use phase, EU is the energy consumption during the product use phase, IP use For indirect carbon emissions during use, EU aux Energy consumption of auxiliary equipment during use.

[0050] The carbon emissions during the scrapping and recycling stage are expressed as: C rec =((ED rec ×EFC en )-SC)+IP rec IP rec =(E pr ×EFC pe )-SR

[0051] Among them, C rec is the carbon emissions during the scrapping and recycling stage, ED rec is the energy consumption for processing and transportation, SC is the carbon emissions saved by recycling materials, IP is rec E is the indirect carbon emissions from the waste recycling process. prEFC is the energy consumption of the treatment and recovery process. pe is the carbon emission factor for processing and recovery energy, and SR is the carbon emission reduction by recycling materials.

[0052] Set low, medium and high thresholds at each stage from raw material acquisition to scrap recycling, and calculate the electricity carbon emission factor according to different levels; in the raw material acquisition stage, if C rm <C rmL , then the low-level carbon emissions are in the raw material acquisition stage, and the low-level electricity carbon emission factor in the raw material acquisition stage is expressed as:

[0053] Among them, EFC rmL is the carbon emission factor of low-grade electricity in the raw material acquisition stage, E iL is the energy consumption of the i-th raw material at a low level; if C rmL <C rm <C rmH , then the carbon emission level in the raw material acquisition stage is medium. The carbon emission factor in the raw material acquisition stage is expressed as:

[0054] Among them, EFC rmM is the carbon emission factor of medium-level electricity in the raw material acquisition stage, E iM is the energy consumption of the middle grade of the i-th raw material; if C rm >C rmH , then the high-level carbon emissions are in the raw material acquisition stage, and the high-level carbon emission factor in the raw material acquisition stage is expressed as:

[0055] Among them, EFC rmH is the carbon emission factor of high-grade electricity in the raw material acquisition stage, E iH is the energy consumption when the i-th raw material is of high grade.

[0056] Different levels of electricity carbon emission factors are calculated in the raw material acquisition stage, transportation stage, production and manufacturing stage, product transportation and delivery stage, product use stage and scrap recycling stage respectively, and electricity carbon emissions are calculated based on the different levels of electricity carbon emission factors in different stages and the carbon emissions in each stage.

[0057] During the transportation phase, if C tr <C trL , then it is in the low-level carbon emission stage of transportation. The low-level electricity carbon emission factor in the transportation stage is expressed as:

[0058] Among them, EFC trL is the carbon emission factor of low-grade electricity in the transportation stage, E jLis the energy consumption of the jth low-level transport; if C trL <C tr <C trH , then the carbon emissions in the transportation stage are medium-level, and the carbon emission factor of medium-level electricity in the transportation stage is expressed as:

[0059] Among them, EFC trM is the carbon emission factor of medium-level electricity in the transportation stage, E jM is the energy consumption at the middle level of the jth transport; if C tr >C trH , then the high-level carbon emissions are in the transportation stage, and the high-level electricity carbon emission factor in the transportation stage is expressed as:

[0060] Among them, EFC trH is the carbon emission factor of high-grade electricity in the transportation stage, E jH is the energy consumption during the j-th high-level transportation.

[0061] During the manufacturing stage, if C man <C manL , then the low-grade carbon emissions are in the production and manufacturing stage, and the low-grade electricity carbon emission factor in the production and manufacturing stage is expressed as:

[0062] Among them, EFC manL is the carbon emission factor of low-grade electricity in the production and manufacturing stage, E kL is the energy consumption of the kth production link at the low level; if C manL <C man <C manH , then the carbon emissions in the production and manufacturing stage are medium-level, and the carbon emission factor of medium-level electricity in the production and manufacturing stage is expressed as:

[0063] Among them, EFC manM is the carbon emission factor of medium-level electricity in the production and manufacturing stage, E kL is the energy consumption at the middle level of the k-th production link; if C man >C manH , then the high-level carbon emissions are in the production and manufacturing stage, and the high-level electricity carbon emission factor in the production and manufacturing stage is expressed as:

[0064] Among them, EFC manM is the carbon emission factor of high-grade electricity in the production and manufacturing stage, E kL is the energy consumption of the kth production link at a high level.

[0065] During the product delivery phase, if C td <CtdL , then the low-level carbon emissions in the product transportation and delivery stage, the low-level electricity carbon emission factor in the product transportation and delivery stage is expressed as: EFC tdL =E tdL ×TFC td / E tdL

[0066] Among them, EFC tdL is the carbon emission factor of low-grade electricity in the product transportation and delivery stage, E tdL Energy consumption for product transportation and delivery at low level; if C tdL <C td <C tdH , then the carbon emission in the product transportation and delivery stage is medium-level. The carbon emission factor of medium-level electricity in the product transportation and delivery stage is expressed as: EFC tdM =E tdM ×TFC td / E tdM

[0067] Among them, EFC tdM is the carbon emission factor of medium-level electricity in the product transportation and delivery stage, E tdM Energy consumption for product transportation and delivery at the middle level; if C td >C tdH , then the high-level carbon emissions in the product transportation and delivery stage, the high-level electricity carbon emission factor in the product transportation and delivery stage is expressed as: EFC tdH =E tdH ×TFC td / E tdH

[0068] Among them, EFC tdH is the carbon emission factor of high-level electricity in the product transportation and delivery stage, E tdH Energy consumption when delivering high levels for product transportation.

[0069] During the product use phase, if C use <C useL , then the low-level carbon emissions are in the product use stage, and the low-level electricity carbon emission factor in the product use stage is expressed as: EFC useL =E useL ×EFC en / E useL

[0070] Among them, EFC useL is the carbon emission factor of low-grade electricity in the product use phase, E useL Energy consumption when the product is used at a low level; if C useL <C use <C useH, then the carbon emissions in the product use stage are in the middle level. The carbon emission factor of the middle level electricity in the product use stage is expressed as: EFC useM =E useM ×EFC en / E useM

[0071] Among them, EFC useM is the carbon emission factor of medium-level electricity in the product use phase, E useM The energy consumption of the product at the middle level; if C use >C useH , then the high-level carbon emissions are in the product use stage, and the high-level electricity carbon emission factor in the product use stage is expressed as: EFC useH =E useH ×EFC en / E useH

[0072] Among them, EFC useH is the carbon emission factor of high-grade electricity in the product use phase, E useH Energy consumption when using high level for the product.

[0073] In the scrap recycling stage, if C rec <C recL , then the low-grade carbon emissions are in the scrapping and recycling stage. The low-grade electricity carbon emission factor in the scrapping and recycling stage is expressed as: EFC recL =E recL ×EFC en -SC / E recL

[0074] Among them, EFC recL is the carbon emission factor of low-grade electricity in the scrapping and recycling stage, E recL is the energy consumption when recycling low-grade scrap; if C recL <C rec <C recH , then the carbon emission level in the scrapping and recycling stage is medium-level. The carbon emission factor of medium-level electricity in the scrapping and recycling stage is expressed as: EFC recM =E recM ×EFC en -SC / E recM

[0075] Among them, EFC recM is the carbon emission factor of medium-grade electricity in the scrapping and recycling stage, E recM is the energy consumption at the middle level of scrap recycling; if C rec >C recH , then the high-level carbon emissions are in the scrapping and recycling stage. The high-level electricity carbon emission factor in the scrapping and recycling stage is expressed as: EFC recH=E recH ×EFC en -SC / E recH

[0076] Among them, EFC recH is the carbon emission factor of high-grade electricity in the scrapping and recycling stage, E recH Energy consumption when recycling high grade scrap.

[0077] In the stages of raw material acquisition, transportation, manufacturing, product transportation and delivery, product use and scrapping and recycling, electricity carbon emissions are calculated based on the electricity carbon emission factors of each stage and each level and the carbon emissions of each stage, expressed as: CP zx =EFC zx ×C z

[0078] Among them, CP zx For the electricity carbon emissions of stage z and level x, EFC zx is the carbon emission factor of electricity at level x in stage z, C z is the carbon emissions in stage z.

[0079] In the raw material acquisition stage, if the carbon emissions are low, the calculated electricity carbon emissions are expressed as: CP rmL =EFC rmL ×C rm

[0080] Among them, CP rmL The electricity carbon emissions calculated for the low-level carbon emissions in the raw material acquisition stage; if the carbon emissions are in the medium-level carbon emissions in the raw material acquisition stage, the calculated electricity carbon emissions are expressed as: CP rmM =EFC rmM ×C rm

[0081] Among them, CP rmM The electricity carbon emissions calculated when the raw material acquisition stage has medium-level carbon emissions; if the raw material acquisition stage has high-level carbon emissions, the calculated electricity carbon emissions are expressed as: CP rmH =EFC rmH ×C rm

[0082] Among them, CP rmH It is the electricity carbon emissions calculated during the high-level carbon emissions in the raw material acquisition stage.

[0083] In the transportation stage, if the carbon emissions are low in the transportation stage, the calculated electricity carbon emissions are expressed as: CP trL =EFC trL ×C tr

[0084] Among them, CP trL The electricity carbon emissions calculated when the transportation stage is low-level carbon emissions; if the transportation stage is medium-level carbon emissions, the electricity carbon emissions calculated are expressed as: CP trM =EFC trM ×C tr

[0085] Among them, CP trL The electricity carbon emissions calculated when the transportation stage has medium-level carbon emissions; if the transportation stage has high-level carbon emissions, the electricity carbon emissions calculated are expressed as: CP trH =EFC trH ×C tr

[0086] Among them, CP trH This refers to the electricity carbon emissions calculated when high-level carbon emissions are emitted during the transportation stage.

[0087] In the manufacturing stage, if the carbon emissions are low-level, the calculated electricity carbon emissions are expressed as: CP manL =EFC manL ×C man

[0088] Among them, CP manL The electricity carbon emissions calculated for low-level carbon emissions during the manufacturing stage; if the carbon emissions are medium-level during the manufacturing stage, the calculated electricity carbon emissions are expressed as: CP manM =EFC manM ×C man

[0089] Among them, CP manM The electricity carbon emissions calculated for the production and manufacturing stage are medium-level carbon emissions; if the production and manufacturing stage is high-level carbon emissions, the calculated electricity carbon emissions are expressed as: CP manH =EFC manH ×C man

[0090] Among them, CP manH It is the electricity carbon emissions calculated during the high-level carbon emissions in the production and manufacturing stage.

[0091] During the product transportation and delivery stage, if the carbon emissions are low, the calculated electricity carbon emissions are expressed as: CP tdL =EFC tdL ×C td

[0092] Among them, CP tdLThe electricity carbon emissions calculated for the low-level carbon emissions during the product transportation and delivery stage; if the carbon emissions are in the medium-level carbon emissions during the product transportation and delivery stage, the calculated electricity carbon emissions are expressed as: CP tdM =EFC tdM ×C td

[0093] Among them, CP tdM The electricity carbon emissions calculated for the medium-level carbon emissions during the product transportation and delivery stage; if the carbon emissions are high-level during the product transportation and delivery stage, the calculated electricity carbon emissions are expressed as: CP tdH =EFC tdH ×C td

[0094] Among them, CP tdH This is the electricity carbon emissions calculated for high-level carbon emissions during the product transportation and delivery stage.

[0095] In the product use stage, if the carbon emissions are low-level, the calculated electricity carbon emissions are expressed as: CP useL =EFC useL ×C use

[0096] Among them, CP useL The electricity carbon emissions calculated for low-level carbon emissions during the product use phase; if the product is in the medium-level carbon emissions phase, the calculated electricity carbon emissions are expressed as: CP useM =EFC useM ×C use

[0097] Among them, CP useM The electricity carbon emissions calculated when the product is in the medium-level carbon emissions stage; if the product is in the high-level carbon emissions stage, the calculated electricity carbon emissions are expressed as: CP useH =EFC useH ×C use

[0098] Among them, CP useH Electricity carbon emissions are calculated for high-level carbon emissions during the product usage phase.

[0099] In the scrapping and recycling stage, if the carbon emissions are low-level, the calculated electricity carbon emissions are expressed as: CP recL =EFC recL ×C rec

[0100] Among them, CP recL The electricity carbon emissions calculated for low-level carbon emissions in the scrapping and recycling stage; if it is in the medium-level carbon emissions in the scrapping and recycling stage, the calculated electricity carbon emissions are expressed as: CPrecM =EFC recM ×C rec

[0101] Among them, CP recM The electricity carbon emissions calculated for the medium-level carbon emissions in the scrapping and recycling stage; if it is in the high-level carbon emissions in the scrapping and recycling stage, the calculated electricity carbon emissions are expressed as: CP recH =EFC recH ×C rec

[0102] Among them, CP recH This refers to the electricity carbon emissions calculated for high-level carbon emissions during the scrapping and recycling stage.

[0103] The carbon footprint of the entire product life cycle is calculated by adding up the calculated carbon emissions of all stages, which is expressed as:

[0104] Among them, CP is the carbon footprint accounting of the entire product life cycle.

[0105] If the CP is lower than the lower threshold of the carbon footprint accounting for the entire product life cycle, the environmental impact of the product is within an acceptable range or performs excellently, and the current model continues; if the CP is between the lower threshold of the carbon footprint accounting for the entire product life cycle and the medium threshold of the carbon footprint accounting for the entire product life cycle, it indicates that the environmental impact of the product is at an average level, and the energy use and production process should be reviewed, emission reduction potential should be identified, and energy efficiency improvement measures should be implemented; if the CP is between the medium threshold of the carbon footprint accounting for the entire product life cycle and the high threshold of the carbon footprint accounting for the entire product life cycle, focus on high-emission activities, formulate specific emission reduction plans, invest in clean energy technologies, improve logistics and supply chain management, and reduce transportation emissions; if the CP exceeds the high threshold of the carbon footprint accounting for the entire product life cycle, the environmental impact of the product is too high, and strategic adjustments and improvements should be made, products should be redesigned, and low-carbon technologies should be adopted.

[0106] Example 2

[0107] Referring to Figure 2, which is a second embodiment of the present invention, different from the previous embodiment, it provides a system for calculating the carbon footprint of power grid material products based on LCA, including: a data acquisition module, a carbon footprint model establishment module, a carbon emission calculation module, an electricity carbon emission factor calculation module and an electricity carbon emission accounting module.

[0108] The data acquisition module collects all relevant data of power grid material products, including raw material usage, composition, transportation distance, energy consumption information, and energy consumption and gas emission data during the production process.

[0109] The carbon footprint model building module constructs a product carbon footprint model based on the collected data and life cycle assessment methods. The model covers all stages from raw material acquisition, transportation, production and manufacturing, product transportation and delivery, product use to scrapping and recycling.

[0110] The carbon emission calculation module calculates the carbon emissions at each stage based on the carbon footprint model and collected data.

[0111] The electricity carbon emission factor calculation module calculates the electricity carbon emission factors of different levels in each stage.

[0112] The electricity carbon emission accounting module calculates electricity carbon emissions based on electricity carbon emission factors of different levels in different stages and carbon emissions in each stage.

[0113] 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.

[0114] 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.

[0115] 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.

[0116] 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.

[0117] Example 3

[0118] 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.

[0119] Select multiple specific power grid material products for simulation. Set the simulation time range, input the same data for both methods, and calculate the carbon footprint using both our invented method and the traditional method.

[0120] 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:

[0121] Table 1 Comparison between traditional method and our invented method

[0122] From the above comparison results, it can be seen that the annual average carbon footprint accounting error rate of our invented method is 7.2%, which is 11.7% less than the 18.9% of the traditional method; the carbon footprint accuracy improvement rate is 31.8%, which is 15.1% higher than the 16.7% of the traditional method; the waste reduction rate is 34.6%, which is 13.4% higher than the 21.2% of the traditional method; and the energy consumption reduction rate is 15.7%, which is 5.4% higher than the 10.3% of the traditional method.

[0123] 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 power grid materials based on LCA, characterized by: include, For power grid material products, a product carbon footprint model is established based on the life cycle assessment method; Collect data on power grid materials and products, and calculate the carbon emissions of power grid materials and products at each stage from raw material acquisition to scrapping and recycling based on the collected data; In the carbon footprint accounting, different levels of electricity carbon emission factors are selected at each stage to calculate electricity carbon emissions; Combined with the calculated data, high-precision real-time carbon footprint calculation of the entire life cycle of power grid material products can be completed.

2. A method for calculating the carbon footprint of power grid materials and products based on LCA as claimed in claim 1, characterized in that: The product carbon footprint model includes the stages of raw material acquisition, transportation, manufacturing, product transportation and delivery, product use and end-of-life recycling; The power grid material product data includes the raw material usage, composition, transportation distance, energy consumption information of the power grid material products, and energy consumption and gas emission data during the production process.

3. A method for calculating the carbon footprint of power grid materials and products based on LCA as claimed in claim 2, characterized in that: The carbon emissions at each stage include the carbon emissions at the raw material acquisition stage, the carbon emissions at the transportation stage, the carbon emissions at the manufacturing stage, the carbon emissions at the product transportation and delivery stage, the carbon emissions at the product use stage, and the carbon emissions at the scrapping and recycling stage; The carbon emissions during the raw material acquisition phase are expressed as: IP i =R i ×EFC pmi Among them, C rm is the carbon emission in the raw material acquisition stage, i is the i-th raw material, n is the total number of raw materials, Q i is the quantity of the i-th raw material, EFC i is the direct carbon emission coefficient of the i-th raw material, IP i is the indirect carbon emission of the i-th raw material, R i EFC is the energy required for the production and processing of the i-th raw material. pmi is the carbon emission coefficient of the production and processing energy of the i-th raw material; The carbon emissions of the transportation stage are expressed as, IP trj =E trj ×EFC trj Among them, C tr is the carbon emission in the transportation stage, j is the jth transportation, m is the total number of transportations, D j is the distance of the jth transport, TFC j is the carbon emission coefficient of the jth transport, W j is the weight of the goods transported for the jth time, IP trj is the indirect carbon emission of the jth transport, E trj is the energy consumption of the jth transport, EFC trj is the carbon emission coefficient of the energy used in the j-th transportation.

4. A method for calculating the carbon footprint of power grid materials and products based on LCA as claimed in claim 3, characterized in that: The carbon emissions during the manufacturing phase are expressed as: C man =(EC×EFC en )+GP+IP man Among them, C man is the carbon emissions in the manufacturing stage, EC is the energy consumption in the production process, and EFC is en is the carbon emission coefficient of energy used, GP is the amount of gas escaped during the production process, IP man is the indirect carbon emissions in the manufacturing process, k is the kth production link, l is the total number of production links, is the energy consumption of the kth production link, is the carbon emission coefficient of the energy in the kth production link; The carbon emissions during the product transportation and delivery phase are expressed as: C td =D td ×TFC td ×W td +IP td IP td =E td ×EFC td Among them, C td is the carbon emissions during the product transportation and delivery phase, D td TFC is the transportation distance of the product during the delivery phase. td is the carbon emission coefficient of the transportation mode, W td is the cargo weight, IP td is the indirect carbon emissions during the product transportation and delivery phase, E td EFC is other energy consumption during transportation. td is the carbon emission coefficient of energy for other energy-consuming activities; The carbon emissions during the product use phase are expressed as, C use =(EU×EFC en )+IP use IP use =I aux ×EFC en Among them, C use is the carbon emissions during the product use phase, EU is the energy consumption during the product use phase, IP use For indirect carbon emissions during use, EU aux Energy consumption of auxiliary equipment during use; The carbon emissions in the scrapping and recycling stage are expressed as, C rec =((ED rec ×EFC en )-SC)+IP rec IP rec =(E pr ×EFC pe )-SR Among them, C rec is the carbon emissions during the scrapping and recycling phase, ED rec is the energy consumption for processing and transportation, SC is the carbon emissions saved by recycling materials, IP is rec is the indirect carbon emissions from the waste recycling process, E pr EFC is the energy consumption of the treatment and recovery process. pe is the carbon emission factor for processing and recovery energy, and SR is the carbon emission reduction by recycling materials.

5. The method for calculating the carbon footprint of power grid materials and products based on LCA as claimed in claim 4, characterized in that: The electricity carbon emission factor includes setting low, medium and high level thresholds at each stage from raw material acquisition to scrap recycling, and calculating the electricity carbon emission factor according to different levels; In the raw material acquisition stage, if C rm <C rmL , then it is in the low-level carbon emission stage of raw material acquisition, and the low-level electricity carbon emission factor in the raw material acquisition stage is expressed as, Among them, EFC rmL is the carbon emission factor of low-grade electricity in the raw material acquisition stage, E iL is the energy consumption of the i-th raw material at a low grade; If C rmL <C rm <C rmH , then the carbon emission level in the raw material acquisition stage is medium. The carbon emission factor in the raw material acquisition stage is expressed as, Among them, EFC rmM is the carbon emission factor of medium-level electricity in the raw material acquisition stage, E iM is the energy consumption of the i-th raw material at the middle level; If C rm >C rmH , then the high-level carbon emissions are in the raw material acquisition stage. The high-level carbon emission factor in the raw material acquisition stage is expressed as, Among them, EFC rmH is the carbon emission factor of high-grade electricity in the raw material acquisition stage, E iH is the energy consumption of the i-th raw material at a high level; Different levels of electricity carbon emission factors are calculated in the transportation stage, production and manufacturing stage, product transportation and delivery stage, product use stage and scrap recycling stage respectively, and electricity carbon emissions are calculated based on the electricity carbon emission factors of different levels in different stages and the carbon emissions in each stage.

6. A method for calculating the carbon footprint of power grid materials and products based on LCA as claimed in claim 5, characterized in that: The calculation of electricity carbon emissions includes calculating electricity carbon emissions according to the electricity carbon emission factors of each level and the carbon emissions of each stage during the stages of raw material acquisition, transportation, production and manufacturing, product transportation and delivery, product use and scrapping and recycling, expressed as: CP zx =EFC zx ×C z Among them, CP zx For the electricity carbon emissions of stage z and level x, EFC zx is the carbon emission factor of electricity at level x in stage z, C z is the carbon emissions in stage z.

7. A method for calculating the carbon footprint of power grid materials and products based on LCA as claimed in claim 6, characterized in that: The high-precision real-time carbon footprint accounting of the entire life cycle includes summing up the calculated carbon emissions of all stages to obtain the carbon footprint accounting of the entire product life cycle, expressed as, Among them, CP is the carbon footprint accounting of the entire product life cycle; If the CP is lower than the lower threshold of carbon footprint accounting for the entire product life cycle, the environmental impact of the product is within the acceptable range or performs well, and the current model will continue; If the CP is between the low threshold of carbon footprint accounting for the entire product life cycle and the medium threshold of carbon footprint accounting for the entire product life cycle, it means that the environmental impact of the product is at an average level. Review the energy use and production process, identify emission reduction potential, and implement energy efficiency improvement measures; If the CP is between the medium threshold of carbon footprint accounting for the entire product life cycle and the high threshold of carbon footprint accounting for the entire product life cycle, focus on high-emission activities, develop specific emission reduction plans, invest in clean energy technologies, improve logistics and supply chain management, and reduce transportation emissions; If the CP exceeds the upper threshold of carbon footprint accounting for the entire product life cycle, the environmental impact of the product is too high, and strategic adjustments and improvements should be made, the product should be redesigned, and low-carbon technologies should be adopted.

8. A system using the method for calculating the carbon footprint of power grid materials products based on LCA as claimed in any one of claims 1 to 7, characterized in that: Including data collection module, carbon footprint model building module, carbon emission calculation module, power carbon emission factor calculation module and power carbon emission accounting module; The data acquisition module collects all relevant data of power grid material products, including raw material usage, composition, transportation distance, energy consumption information, and energy consumption and gas emission data during the production process; The carbon footprint model building module builds a product carbon footprint model based on the collected data and life cycle assessment method. The model covers all stages from raw material acquisition, transportation, manufacturing, product transportation and delivery, product use to scrapping and recycling; The carbon emission calculation module calculates the carbon emission in each stage according to the carbon footprint model and the collected data; The electricity carbon emission factor calculation module calculates the electricity carbon emission factors of different levels in each stage; The electricity carbon emission accounting module calculates electricity carbon emission according to electricity carbon emission factors of different levels at different stages and carbon emission amounts at each stage.

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 power grid material products based on LCA 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 power grid material products based on LCA as described in any one of claims 1 to 7 are implemented.

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