Method and system for dynamically calculating carbon footprint of reprocessed plastic product based on physical recovery

Abstract

The invention discloses a physical recovery-based regenerated plastic product carbon footprint dynamic calculation method and system, and the method comprises the steps: S1, taking each stage in a boundary and a system boundary as a target and a range, and enabling the boundary to comprise all life cycles of waste plastic after recovery processing regeneration; s2, collecting data of each stage in all life cycles including recycling, processing and regeneration of the waste plastics, and data of each stage in a system boundary; and S3, carrying out carbon footprint calculation on all the collected data, and obtaining the carbon reduction amount of each batch of products compared with the original material. According to actual production energy consumption data, the carbon reduction amount of each batch of products compared with a native material can be obtained by performing splitting calculation on the reference flow of each batch of substances. Compared with a carbon reduction value obtained according to a database in the past, the method is more suitable for the actual production condition and actual carbon reduction data, and the data is more authentic.

Description

Technical Field

[0001] The present invention relates to the technical field of detecting the carbon footprint emissions in the whole life cycle of waste plastics, and particularly to a dynamic calculation method and system for the carbon footprint of recycled plastic products based on physical recycling. Background Art

[0002] Currently, most of the carbon footprint emission results of waste plastics in the whole life cycle in the market are sourced from the Ecoinvent database (life cycle assessment database) to estimate the carbon footprint situation, rather than the carbon footprint of products obtained through actual detection. According to the requirements of future EU-related policies, the estimated data will not be available. However, due to technical and conditional limitations, many enterprises themselves are unable to accurately verify the carbon footprint emissions of products, especially in some industries of manufacturing and using green carbon-reducing materials. These materials often have clear green carbon-reducing attributes, but due to the inability to calculate the carbon footprint, the carbon reduction amount cannot be clearly quantified.

[0003] Therefore, based on the existing situation, it is urgent to propose a dynamic calculation method and system for the carbon footprint of recycled plastic products based on physical recycling to solve the above problems. Summary of the Invention

[0004] The purpose of the present invention is to propose a dynamic calculation method and system for the carbon footprint of recycled plastic products based on physical recycling, which can calculate the carbon reduction amount of each batch of products compared with the virgin materials through the disassembly calculation of the material reference flow of each batch according to the actual production energy consumption data.

[0005] To solve the above technical problems, the present invention provides a dynamic calculation method and system for the carbon footprint of recycled plastic products based on physical recycling, including the following steps:

[0006] S1. Determine the target and scope with each stage within the boundary and system boundary. The boundary includes all life cycles including the recycling and processing of waste plastics.

[0007] S2. Collect data of each stage in all life cycles including the recycling and processing of waste plastics, as well as data of each stage within the system boundary.

[0008] S3. Calculate the carbon footprint of all the collected data to obtain the carbon reduction amount of each batch of products compared with the virgin materials.

[0009] Further, in step S1, the all life cycles include mechanical shredding of waste plastics, removal of light impurities, friction cleaning with brine, cleaning and dehydration, metal removal treatment, crushing and drying, hot melt granulation, screening and drying, wastewater treatment, and waste gas treatment.

[0010] Further, in step S1, the system boundary includes: raw material acquisition and transportation, packaging material production and transportation, product production process, and product transportation.

[0011] Further, the raw material acquisition and transportation include: substrate collection, auxiliary material production, and substrate and auxiliary material transportation.

[0012] Further, the product production process includes production energy consumption and three wastes treatment.

[0013] Further, in step S3, the algorithm unit calculates the carbon footprint for all the collected data, specifically including: calculating the carbon footprint of raw material acquisition and transportation, the carbon footprint of packaging material production and transportation, the carbon footprint of the product production process, and the carbon footprint of the product transportation to the downstream link.

[0014] Further, in step S3, the calculation formula of the carbon footprint is as follows:

[0015] Among them, CF is the carbon footprint emission, i is the type of activity level data, j is the type of greenhouse gas, P is the activity level data, Q is the carbon footprint characterization factor, and GWP is the global warming potential value of the greenhouse gas.

[0016] Further, in step S3, the calculated proportion of emissions from raw material acquisition and transportation is 12.79% - 16%; the calculated proportion of emissions from packaging material production and transportation is 0.43% - 0.80%; the calculated proportion of emissions from the production process of energy resource consumption is 74% - 77.5%; the calculated proportion of emissions from the production process of three wastes treatment is 5.7% - 12.78%. The above data are calculated without using green energy.

[0017] In addition, the present invention also proposes a dynamic carbon footprint calculation system for recycled plastic products based on physical recycling, which is used to implement the dynamic carbon footprint calculation method for recycled plastic products based on physical recycling as described above, including:

[0018] A sampling unit, which is used to determine the target and scope;

[0019] A data collection unit, which is used to collect the relevant data of the target and scope; and

[0020] An algorithm unit, which is used to calculate the carbon footprint for all the collected data and obtain the carbon reduction amount of each batch of products compared with the virgin materials.

[0021] By the above technical solutions, the present invention has the following beneficial effects:

[0022] By determining the boundaries and the stages within the system boundaries as the objectives and scope, the boundaries include all life cycles including the recycling and processing of waste plastics; collecting data on each stage in all life cycles including the recycling and processing of waste plastics, as well as data on each stage within the system boundaries; calculating the carbon footprint of all the collected data to obtain the carbon reduction amount of each batch of products compared to virgin materials. This method can, based on the actual production energy consumption data, through the split calculation of the material benchmark flow of each batch, obtain the carbon reduction amount of each batch of products compared to virgin materials. For the carbon reduction values obtained based on the database in the past, it is more in line with the actual production situation and actual carbon reduction data, and the data is more authentic. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] Figure 1 It is a flowchart of a dynamic carbon footprint calculation method for recycled plastic products based on physical recycling in an embodiment of the present invention;

[0024] Figure 2 It is a schematic block diagram of a dynamic carbon footprint calculation system for recycled plastic products based on physical recycling in an embodiment of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0025] The following will describe in more detail a dynamic carbon footprint calculation method and system for recycled plastic products based on physical recycling of the present invention with reference to the accompanying drawings, in which the preferred embodiments of the present invention are shown. It should be understood that those skilled in the art can modify the present invention described herein while still achieving the advantageous effects of the present invention. Therefore, the following description should be understood as a broad guidance for those skilled in the art and not as a limitation to the present invention.

[0026] In the following paragraphs, the present invention will be described more specifically by way of example with reference to the accompanying drawings. The advantages and features of the present invention will be clearer according to the following description. It should be noted that the drawings are all in a very simplified form and use non-precise scales, only for the purpose of conveniently and clearly assisting in explaining the embodiments of the present invention.

[0027] As Figure 1 shown, an embodiment of the present invention proposes a dynamic carbon footprint calculation method for recycled plastic products based on physical recycling, including the following steps:

[0028] S1. Determine the boundaries and the stages within the system boundaries as the objectives and scope, where the boundaries include all life cycles including the recycling and processing of waste plastics;

[0029] S2. Collect data on each stage in all life cycles including the recycling and processing of waste plastics, as well as data on each stage within the system boundaries;

[0030] S3. Calculate the carbon footprint for all the collected data to obtain the carbon reduction amount of each batch of products compared to the virgin materials.

[0031] Among them, for the specific processing process of recycling waste plastics through recycling and processing, reference can be made to "A Process System for Recycling Waste Plastics" with the publication number CN109435107A.

[0032] In this embodiment, in step S1, all the life cycles include mechanical shredding of waste plastics, removal of light impurities, friction cleaning with brine, cleaning and dehydration, metal removal treatment, crushing and drying, hot melting and granulation, screening and drying, wastewater treatment, and waste gas treatment.

[0033] Furthermore, in step S1, the system boundary includes: raw material acquisition and transportation, packaging material production and transportation, product production process, and product transportation.

[0034] Among them, the raw material acquisition and transportation include: substrate collection, auxiliary material production, and substrate and auxiliary material transportation.

[0035] In this embodiment, the product production process includes production energy consumption and three wastes treatment.

[0036] In addition, in step S3, the algorithm unit calculates the carbon footprint for all the collected data, specifically including: calculating the carbon footprint of raw material acquisition and transportation, the carbon footprint of packaging material production and transportation, the carbon footprint of the product production process, and the carbon footprint of the product transportation to the downstream link.

[0037] Furthermore, in step S3, the calculation formula for the carbon footprint is as follows:

[0038] Among them, CF is the carbon footprint emission, i is the type of activity level data, j is the type of greenhouse gas, P is the activity level data, Q is the carbon footprint characterization factor, and GWP is the global warming potential value of the greenhouse gas.

[0039] In this embodiment, in step S3, the calculated proportion of the emissions of raw material acquisition and transportation is 12.79% - 16%; the calculated proportion of the emissions of packaging material production and transportation is 0.43% - 0.80%; the calculated proportion of the emissions of the production process of energy resource consumption is 74% - 77.5%; the calculated proportion of the emissions of the production process of three wastes treatment is 5.7% - 12.78%. The above data are calculated without using green energy.

[0040] In a specific example, taking the recycling and processing of waste lunch box plastics as an example, the raw material is waste takeaway lunch boxes, the material is polypropylene, and the life cycle process of physically recycling waste lunch box plastics is as follows: recycling → sorting → crushing → cleaning → separation → granulation into finished products → sales.

[0041] For example, according to the above life cycle, for the processing of recycled lunch box plastics, the measured data range within a certain time range can be selected as the carbon footprint data range shown in Table 1.

[0042] Table 1

[0043] Item <![CDATA[Functional unit emissions (kgCO2e)]]> Proportion Raw material acquisition and transportation 78～136 12.79％～16％ Packaging material production and transportation 2.6～6.8 0.43％～0.80％ Production process (energy and resource consumption) 481～658.75 74％～77.5％ Production process (treatment of three wastes) 48.45～83.07 5.7％～12.78％ Product transportation -- -- Total 650～850 100.00％

[0044] As can be seen from Table 1 above, the carbon footprint of 1 ton of the target product is in the range of 650 - 850 kgCO2e. The above data is obtained from the measured data within a certain time range, and the data generated by different batches of products is dynamic and not completely consistent. The general range is approximately 0.3 tCO2e / t - 1.6 tCO2e / t.

[0045] Among them, 12.79% + 0.43% + 74% + 12.78% = 100%.

[0046] And, 16% + 0.80% + 77.5% + 12.78% = 100%.

[0047] More specifically, raw material acquisition and transportation specifically include: the lunch box (raw material) with the largest proportion, the water treatment agent with the second largest proportion, and the alkaline substance with the third largest proportion. The production process (energy and resource consumption) includes: the electric power resource with the largest proportion, the diesel with the second largest proportion, and the water with the lowest proportion. In the future, the electric power resource may be replaced by green and clean photovoltaic energy to reduce more carbon emissions during the production and transportation processes. The production process (treatment of three wastes) specifically includes: the solid waste treatment with the largest proportion and the wastewater treatment with the second largest proportion. Those skilled in the art know that the specific situation of each project can be selected and set according to actual needs and requirements. Including but not limited to the specific proportion information mentioned above.

[0048] In addition, as Figure 2 shown, this embodiment also proposes a dynamic carbon footprint calculation system for recycled plastic products based on physical recycling, which is used to implement the dynamic carbon footprint calculation method for recycled plastic products based on physical recycling as described above, including: a sampling unit, a data collection unit, and an algorithm unit. Specifically, the sampling unit is used to determine the target and range; the data collection unit is used to collect the relevant data of the target and range; the algorithm unit is used to calculate the carbon footprint of all the collected data to obtain the carbon reduction amount of each batch of products compared with the virgin materials.

[0049] In this embodiment, first, the boundaries and each stage within the system boundaries are determined as the targets and scopes. The boundaries include all life cycles including the recycling and processing of waste plastics; data for each stage in all life cycles including the recycling and processing of waste plastics are collected, as well as data for each stage within the system boundaries; the carbon footprint of all the collected data is calculated to obtain the carbon reduction amount of each batch of products compared with the virgin materials.

[0050] In summary, a dynamic carbon footprint calculation method for recycled plastic products based on physical recycling proposed by the present invention has the following advantages:

[0051] By determining the boundaries and each stage within the system boundaries as the targets and scopes, where the boundaries include all life cycles including the recycling and processing of waste plastics; collecting data for each stage in all life cycles including the recycling and processing of waste plastics, as well as data for each stage within the system boundaries; calculating the carbon footprint of all the collected data to obtain the carbon reduction amount of each batch of products compared with the virgin materials. This method can, based on the actual production energy consumption data, through the split calculation of the material benchmark flow for each batch, obtain the carbon reduction amount of each batch of products compared with the virgin materials. Compared with the carbon reduction values obtained from the database in the past, it is more in line with the actual production situation and actual carbon reduction data, and the data is more authentic.

[0052] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalent technologies, the present invention also intends to include these changes and modifications.

Claims

1. A dynamic calculation method for the carbon footprint of recycled plastic products based on physical recycling, characterized in that, It includes the following steps: S1. Determine the target and scope with the boundaries and each stage within the system boundaries. The boundaries include all life cycles including the recycling and processing of waste plastics. S2. Collect data for each stage in all life cycles including the recycling and processing of waste plastics, as well as data for each stage within the system boundaries. S3. Calculate the carbon footprint for all the collected data to obtain the carbon reduction amount of each batch of products compared to virgin materials.

2. The dynamic calculation method for the carbon footprint of recycled plastic products based on physical recycling according to claim 1, wherein In step S1, the all life cycles include mechanical shredding of waste plastics, removal of light impurities, brine friction cleaning, cleaning and dehydration, metal removal treatment, crushing and drying, hot melt granulation, screening and drying, wastewater treatment, and waste gas treatment.

3. The dynamic carbon footprint calculation method for recycled plastic products based on physical recycling according to claim 1, characterized in that, In step S1, the system boundaries include: raw material acquisition and transportation, packaging material production and transportation, product production process, and product transportation.

4. The dynamic calculation method of the carbon footprint of recycled plastic products based on physical recycling according to claim 3, wherein, The raw material acquisition and transportation include: substrate collection, auxiliary material production, and substrate and auxiliary material transportation.

5. The dynamic carbon footprint calculation method for recycled plastic products based on physical recycling according to claim 3, wherein The product production process includes production energy consumption and three wastes treatment.

6. The dynamic calculation method for the carbon footprint of recycled plastic products based on physical recycling according to claim 1, characterized in that, In step S3, the algorithm unit calculates the carbon footprint for all the collected data, specifically including: calculating the carbon footprint of raw material acquisition and transportation, the carbon footprint of packaging material production and transportation, the carbon footprint of the product production process, and the carbon footprint of the product transportation to the downstream link.

7. The dynamic carbon footprint calculation method for recycled plastic products based on physical recycling according to claim 6, wherein, In step S3, the calculation formula for the carbon footprint is as follows: Among them, CF is the carbon footprint emission, i is the type of activity level data, j is the type of greenhouse gas, P is the activity level data, Q is the carbon footprint characterization factor, and GWP is the global warming potential value of greenhouse gas.

8. The dynamic calculation method of the carbon footprint of recycled plastic products based on physical recycling according to claim 7, wherein, In step S3, the calculated emission ratio of raw material acquisition and transportation is 12.79% - 16%; the calculated emission ratio of packaging material production and transportation is 0.43% - 0.80%; the calculated emission ratio of the production process of energy resource consumption is 74% - 77.5%; the calculated emission ratio of the production process of three wastes treatment is 5.7% - 12.78%.

9. A dynamic carbon footprint calculation system for recycled plastic products based on physical recycling, which is used to implement the dynamic carbon footprint calculation method for recycled plastic products based on physical recycling as described in any one of claims 1-8, characterized in that, It includes: A sampling unit for determining the target and scope; A data collection unit for collecting relevant data of the target and scope; And An algorithm unit for calculating the carbon footprint for all the collected data to obtain the carbon reduction amount of each batch of products compared to virgin materials.

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