Full-life-cycle carbon footprint analysis method, device and system and storage medium

Abstract

The invention discloses a full-life-cycle carbon footprint analysis method, device and system and a storage medium, and belongs to the technical field of carbon emission analysis, and the method comprises the steps: S1, obtaining park product carbon footprint data; s2, performing uncertainty analysis on the carbon footprint data of the products in the park to obtain consistent carbon footprint data; s3, according to the consistent carbon footprint data, obtaining full-life-cycle product carbon footprint quantitative information; and S4, carrying out sensitivity analysis on the full-life-cycle product carbon footprint quantitative information. By adopting the technical scheme provided by the invention, park carbon footprint analysis under the perspective of life cycle evaluation is realized.

Description

Technical Field

[0001] The present invention belongs to the technical field of carbon emission analysis, and particularly relates to a full-life-cycle carbon footprint analysis method, device, system, and storage medium. Background Art

[0002] In recent years, troubled by global warming and abnormal weather, countries around the world have been exploring strategies to reduce greenhouse gas emissions while strengthening climate cooperation. Among them, carbon dioxide, as a key factor in the greenhouse effect, has attracted much attention, and monitoring carbon dioxide emissions from stationary sources has become one of the research hotspots.

[0003] Currently, research has been carried out on the tracking methods of the carbon footprint of industrial parks from multiple perspectives, and ways to reduce the carbon footprint of products have been actively explored. In the prior art, methods for analyzing the connection characteristics between components and recursively allocating the carbon footprint of connection units using the analytic hierarchy process to propose a calculation method for the carbon footprint of connection units; and methods for establishing an uncertainty evaluation model for greenhouse gas emissions in the life cycle of fossil fuels using a process framework and a statistical modeling method have been proposed. However, in the prior art, an uncertainty analysis has not been systematically carried out on the carbon footprint emissions of industrial parks throughout the entire life cycle and the factors that have a greater impact on carbon emissions. Summary of the Invention

[0004] The technical problem to be solved by the present invention is to provide a full-life-cycle carbon footprint analysis method, device, system, and storage medium to achieve the carbon footprint analysis of industrial parks from the perspective of life cycle assessment.

[0005] To achieve the above object, the present invention adopts the following technical solutions:

[0006] A full-life-cycle carbon footprint analysis method includes:

[0007] Step S1, obtaining the carbon footprint data of the industrial park products;

[0008] Step S2, performing uncertainty analysis on the obtained carbon footprint data of the industrial park products to obtain consistent carbon footprint data; wherein, the uncertainty analysis includes: statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis;

[0009] Step S3, obtaining the quantified information of the full-life-cycle product carbon footprint according to the consistent carbon footprint data;

[0010] Step S4, performing sensitivity analysis on the quantified information of the full-life-cycle product carbon footprint to extract key carbon emission influencing factors.

[0011] Preferably, the carbon footprint data of the park products are the carbon footprint data in the raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage of the products.

[0012] Preferably, the whole life cycle includes: raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage.

[0013] The present invention also provides a whole life cycle carbon footprint analysis device, including:

[0014] An acquisition module, configured to acquire the carbon footprint data of the park products;

[0015] A first analysis module, configured to perform uncertainty analysis on the obtained carbon footprint data of the park products to obtain consistent carbon footprint data; wherein, the uncertainty analysis includes: statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis;

[0016] A processing module, configured to obtain the whole life cycle product carbon footprint quantification information according to the consistent carbon footprint data;

[0017] A second analysis module, configured to perform sensitivity analysis on the whole life cycle product carbon footprint quantification information to extract key carbon emission influencing factors.

[0018] Preferably, the carbon footprint data of the park products are the carbon footprint data in the raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage of the products.

[0019] Preferably, the whole life cycle includes: raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage.

[0020] The present invention also provides a whole life cycle carbon footprint analysis system, including: a memory and a processor, wherein a computer program is stored on the memory and run by the processor, and the computer program executes the whole life cycle carbon footprint analysis method when run by the processor.

[0021] The present invention also provides a storage medium, on which a computer program is stored, and the computer program executes the whole life cycle carbon footprint analysis method when running.

[0022] The present invention conducts uncertainty analysis on the carbon footprint data of park products to obtain consistent carbon footprint data; based on the consistent carbon footprint data, it obtains the quantification information of the carbon footprint of the product throughout its life cycle; and conducts sensitivity analysis on the quantification information of the carbon footprint of the product throughout its life cycle. By adopting the technical solution of the present invention, it is possible to analyze the carbon footprint of park carbon products throughout the entire life process from manufacturing to disposal. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required for use in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only the embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on the provided drawings.

[0024] Figure 1 It is a flowchart of the full-life-cycle carbon footprint analysis method according to the embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of them. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts belong to the scope of protection of the present invention.

[0026] To make the above objects, features, and advantages of the present invention more obvious and understandable, the present invention will be further described in detail below with reference to the drawings and specific embodiments.

[0027] Embodiment 1:

[0028] As Figure 1 shown, the embodiment of the present invention provides a full-life-cycle carbon footprint analysis method, including:

[0029] Step S1: Obtain the carbon footprint data of park products;

[0030] Step S2: Conduct uncertainty analysis on the carbon footprint data of park products to obtain consistent carbon footprint data;

[0031] Step S3: Based on the consistent carbon footprint data, obtain the quantification information of the carbon footprint of the product throughout its life cycle;

[0032] Step S4: Conduct sensitivity analysis on the quantification information of the carbon footprint of the product throughout its life cycle.

[0033] As an implementation manner of an embodiment of the present invention, in step S1, the carbon footprint data of the park products are the carbon footprint data in the product raw material acquisition stage, the carbon footprint data in the manufacturing and assembly stage, the carbon footprint data in the transportation stage, the carbon footprint data in the use stage, and the carbon footprint data in the recycling and treatment stage.

[0034] As an implementation manner of an embodiment of the present invention, in step S2, the uncertainty analysis of the product carbon footprint quantification information includes: statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis. According to expert opinions, determine the relative importance of the above five factors, as shown in Table 1, assign values to the importance degree according to the 1-9 scale method, and construct a judgment matrix.

[0035] Table 1

[0036] Scale Meaning 1 Indicates that when two elements are compared, they have the same importance 3 Indicates that when two elements are compared, the former is slightly more important than the latter 5 Indicates that when two elements are compared, the former is significantly more important than the latter 7 Indicates that when two elements are compared, the former is extremely more important than the latter 9 Indicates that when two elements are compared, the former is strongly more important than the latter 2,4,6,8 Represents the intermediate value of the above adjacent judgments The reciprocal of 1 - 9 Indicates the importance of comparing the corresponding two factors by exchanging their orders

[0037] Calculate the consistency test index CI and the consistency ratio CR, and the calculation formulas are as shown in the following formula:

[0038]

[0039] Among them, λ max is the maximum eigenvalue of the judgment matrix, RI is the random consistency index, and n represents the scale value each time.

[0040] When CR < 0.1, it is considered that the judgment given by the matrix has consistency, which means that the statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis of the carbon footprint data of the park products are reasonable. Otherwise, adjust the judgment matrix to make it have satisfactory consistency.

[0041] As an implementation manner of an embodiment of the present invention, in step S3, according to the consistent carbon footprint data, obtain the product carbon footprint quantification information of the entire life cycle; among them, the entire life cycle includes: raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage.

[0042] 1. Raw material acquisition stage

[0043] The carbon footprint in the raw material acquisition stage includes the material consumption and energy consumption parts. Assuming that there are n types of materials in the material acquisition stage and m types of energy in the energy acquisition stage, the carbon footprint in this stage is quantified as:

[0044]

[0045] Among them, M i is the physical quantity of the i-th type of material; E j is the physical quantity of the j-th type of energy; αi is the emission factor for the production of the i-th type of material; β j is the emission factor for the production of the j-th type of energy, η ij is the material utilization rate in the raw material acquisition stage. G M is the carbon footprint in the raw material acquisition stage.

[0046] 2. Manufacturing and Assembly Stage

[0047] The carbon footprint in the manufacturing and assembly stage comes from two parts: energy consumption and direct greenhouse gas emissions. Assuming that m types of energy are consumed and p types of greenhouse gases are emitted during the manufacturing and assembly process, the carbon footprint in this stage is quantified as:

[0048]

[0049] Among them, E j is the physical quantity of the j-th type of energy consumed during the manufacturing and assembly process; O k is the physical quantity of the k-th type of greenhouse gas emitted; β j is the emission factor of the j-th type of energy; GWP k is the global warming potential of the k-th type of gas (i.e., global warming potential); η jk is the energy utilization rate in the manufacturing and assembly stage; G P is the carbon footprint in the manufacturing and assembly stage.

[0050] 3. Transportation Stage

[0051] The carbon footprint in the transportation stage considers the carbon emissions caused by transporting products by different transportation modes, including the consumption of transportation tools and the direct emissions of greenhouse gases. The determining factors are the choice of transportation tools, load, and transportation distance. The quantified information of the carbon footprint in this stage is:

[0052]

[0053] Among them, M l is the mass of the l-th type of transported product; D l is the transportation distance; γ l is the carbon emission factor of the transportation tool for transporting products; O k is the direct emission of the k-th type of greenhouse gas; G t is the carbon footprint in the transportation stage.

[0054] 4. Usage Stage

[0055] The carbon footprint in the usage stage considers the carbon emissions generated by the electricity consumption during product operation and the direct emissions of greenhouse gases during use. The carbon footprint emissions during operation are related to the actual daily electricity consumption E and the operation time t WIt is proportional to the local electricity emission factor β. Similarly, another part of the carbon emissions comes from the direct emissions of greenhouse gases during use. The quantified carbon footprint information for this stage is as follows:

[0056]

[0057] Among them, G U is the carbon footprint during the use stage.

[0058] 5. Recycling and treatment stage

[0059] The carbon footprint of the material recycling and treatment stage mainly consists of two parts: material consumption and energy consumption, which is similar to the raw material acquisition stage. However, the difference is that for the materials used for recycling in this stage, it is necessary to consider the impact of the materials recovered from the disassembled parts on the carbon footprint of the raw material acquisition and manufacturing and assembly stages. Therefore, it is compensated in the entire carbon footprint calculation model.

[0060]

[0061] Among them, G R is the carbon footprint during the recycling and treatment stage.

[0062] In summary, the quantified carbon footprint information of the product is expressed as:

[0063] G = G M + G P + G t + G U + G R

[0064] As an implementation manner of the embodiment of the present invention, in step S4, the sensitivity analysis is to quantitatively analyze the influence degree of the input variables of the model on the output result. During the carbon emission process, the sensitivity of each factor to the result is manifested as the different influences of each factor on the product carbon footprint calculation result. The sensitivity of the carbon emission influencing factor is proportional to its influence on the result. The higher its sensitivity, the greater its influence on the result, and the greater the improvement space of this factor. Through the product carbon footprint calculation, the stage with the most significant carbon footprint in the whole life cycle can be obtained. Taking the product carbon footprint as an index, the carbon footprint influencing factors of this life cycle stage are selected, and their sensitivity analysis is carried out to extract the key carbon emission influencing factors. To compare the sensitivity of different factors to the carbon emission result, the factor with the greatest influence on the product carbon footprint is extracted. Through the sensitivity analysis, the sensitivity data of each factor on the product carbon footprint in the whole life cycle are calculated, and the sensitivity matrix can be obtained.

[0065]

[0066] Among them, S mi 、S pi 、S ti 、Sui and S ri respectively represent the sensitivity degree of the i-th factor in the raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage to the product carbon footprint. Based on the product carbon footprint of the existing values of the selected factors, the carbon footprint change matrix of each life cycle factor under a unit minimum change can be transformed from the product sensitivity matrix.

[0067]

[0068] Among them, ΔG mi and ΔG pi and ΔG ti and ΔG ui and ΔG ri respectively represent the change values of the product carbon footprint under a unit minimum change of the i-th factor in the raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and treatment stage.

[0069] The sensitivity factor of the carbon emission influencing factor is:

[0070]

[0071] Among them, G is the product carbon footprint of the existing values of each factor; I i is the existing value of the i-th carbon emission influencing factor; ΔI i is the change value of the i-th carbon emission influencing factor.

[0072] After establishing the sensitivity factor of the carbon emission influencing factor, calculating the sensitivity of the five stages from the perspective of carbon footprint emissions, obtaining the sensitivity ranking of the five stages for carbon footprint emissions, and selecting the stage with the highest sensitivity to carbon footprint impact and reducing the carbon footprint consumption of this stage can not only reduce the carbon footprint of this stage, but also play a better role in reducing the carbon footprint generated in other stages.

[0073] Example 2:

[0074] The embodiment of the present invention also provides a full life cycle carbon footprint analysis device, including:

[0075] An acquisition module, configured to acquire the carbon footprint data of the park products;

[0076] A first analysis module, configured to perform uncertainty analysis on the obtained carbon footprint data of the park products to obtain consistent carbon footprint data; among them, the uncertainty analysis includes: statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis;

[0077] A processing module, configured to obtain the full life cycle product carbon footprint quantification information according to the consistent carbon footprint data;

[0078] A second analysis module, configured to perform a sensitivity analysis on the full-life-cycle product carbon footprint quantification information and extract key carbon emission influencing factors.

[0079] As an implementation manner of an embodiment of the present invention, the carbon footprint data of the park product is the carbon footprint data in the product raw material acquisition stage, the carbon footprint data in the manufacturing and assembly stage, the carbon footprint data in the transportation stage, the carbon footprint data in the use stage, and the carbon footprint data in the recycling and treatment stage.

[0080] As an implementation manner of an embodiment of the present invention, the full life cycle includes: a raw material acquisition stage, a manufacturing and assembly stage, a transportation stage, a use stage, and a recycling and treatment stage.

[0081] Embodiment 3:

[0082] The embodiment of the present invention further provides a full-life-cycle carbon footprint analysis system, including: a memory and a processor, wherein a computer program run by the processor is stored on the memory, and the computer program executes the full-life-cycle carbon footprint analysis method when being run by the processor.

[0083] Embodiment 4:

[0084] The embodiment of the present invention further provides a storage medium, wherein a computer program is stored on the storage medium, and the computer program executes the full-life-cycle carbon footprint analysis method when running.

[0085] The above-described embodiments are only descriptions of the preferred embodiments of the present invention, and do not limit the scope of the present invention. Without departing from the design spirit of the present invention, various deformations and improvements made by those of ordinary skill in the art to the technical solution of the present invention shall fall within the protection scope determined by the claims of the present invention.

Claims

1. A full life cycle carbon footprint analysis method, characterized in that: include: Step S1, obtaining the carbon footprint data of park products; Step S2: performing uncertainty analysis on the obtained carbon footprint data of the park products to obtain consistent carbon footprint data; wherein the uncertainty analysis includes: statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis; Step S3, obtaining quantitative information on the carbon footprint of the product over its entire life cycle based on the consistent carbon footprint data; Step S4: Conduct sensitivity analysis on the quantitative information of the carbon footprint of the product throughout its life cycle to extract key carbon emission influencing factors.

2. The full life cycle carbon footprint analysis method according to claim 1, characterized in that: The carbon footprint data of the park’s products include the carbon footprint data of the product’s raw material acquisition stage, the carbon footprint data of the manufacturing and assembly stage, the carbon footprint data of the transportation stage, the carbon footprint data of the use stage, and the carbon footprint data of the recycling and processing stage.

3. The full life cycle carbon footprint analysis method according to claim 2, characterized in that: The entire life cycle includes: raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and processing stage.

4. A full life cycle carbon footprint analysis device, characterized in that: include: The acquisition module is used to obtain the carbon footprint data of park products; The first analysis module is used to perform uncertainty analysis on the obtained carbon footprint data of the park products to obtain consistent carbon footprint data; wherein the uncertainty analysis includes: statistical representativeness analysis, data source reliability analysis, geographical location representativeness analysis, collection time representativeness analysis, and data integrity analysis; A processing module is used to obtain the quantitative information of the carbon footprint of the product throughout its life cycle based on the consistent carbon footprint data; The second analysis module is used to conduct sensitivity analysis on the quantitative information of carbon footprint of products throughout their life cycle and extract key carbon emission influencing factors.

5. The full life cycle carbon footprint analysis device according to claim 4, characterized in that: The carbon footprint data of the park’s products include the carbon footprint data of the product’s raw material acquisition stage, the carbon footprint data of the manufacturing and assembly stage, the carbon footprint data of the transportation stage, the carbon footprint data of the use stage, and the carbon footprint data of the recycling and processing stage.

6. The full life cycle carbon footprint analysis device according to claim 5, characterized in that: The entire life cycle includes: raw material acquisition stage, manufacturing and assembly stage, transportation stage, use stage, and recycling and processing stage.

7. A full life cycle carbon footprint analysis system, characterized in that: include: A memory and a processor, wherein the memory stores a computer program executed by the processor, and when the computer program is executed by the processor, the full life cycle carbon footprint analysis method as described in any one of claims 1 to 3 is executed.

8. A storage medium, characterized in that: The storage medium stores a computer program, which, when running, executes the full life cycle carbon footprint analysis method as described in any one of claims 1 to 3.

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