Product carbon footprint evaluation method and system

Abstract

The invention provides a product carbon footprint evaluation method and system, and the method comprises the steps: S1, obtaining the original data, including raw materials, auxiliary materials, energy, transportation data and by-product data, of a target product in the whole life cycle; s2, acquiring corresponding emission factors based on the acquired different types of original data of the target product in the whole life cycle; s3, calculating a carbon footprint accounting result according to different types of original data of the whole life cycle of the target product and the corresponding emission factors; s4, generating a full-life-cycle data standing book containing the basic flow quantity, and calculating the carbon footprint of the product through a preset carbon footprint calculation model in methodology based on the full-life-cycle data standing book; and S5, performing verification based on the relative deviation of the two calculated carbon footprints meeting the preset requirement, and outputting the verified carbon footprint result in a verifiable manner.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of product carbon footprint, in particular to a product carbon footprint management method and system. BACKGROUND

[0002] Under the promotion of the "double carbon" goal and the global green economic tide, enterprises have incorporated low-carbon development into their core strategies. Product carbon footprint management has become a key lever for enterprises to participate in international competition and enhance brand image. Building a green supply chain and reducing product life cycle carbon emissions not only meet policy requirements, but also help enterprises seize the low-carbon market first and avoid carbon tariffs barriers in international trade. In this context, accurate quantification of product carbon footprint is the basis for enterprises to achieve fine carbon management. However, the existing product carbon footprint evaluation system lacks a unified and standardized carbon footprint verification process, making it difficult for enterprises to effectively verify the evaluation results, which affects the application value of carbon footprint data in green supply chain management, product carbon label certification and other scenarios.

[0003] Patent document CN119378797A (application number: 202411401628.2) discloses a product carbon footprint quantification method, including the following steps: S1, dividing the life cycle stage of the target product; S2, collecting the primary data and secondary data of each life cycle stage of the target product after step S1; S3, calculating the carbon footprint of each life cycle stage of the target product according to the primary data and secondary data collected in step S2; S4, obtaining the carbon footprint of each life cycle stage of the target product in step S3, and calculating the carbon footprint quantification result of the target product. SUMMARY

[0004] In view of the defects in the prior art, the purpose of the present application is to provide a product carbon footprint evaluation method and system.

[0005] According to the product carbon footprint evaluation method provided by the present application, the following steps are included:

[0006] Step S1: Obtain the original data of the target product throughout its life cycle, including raw materials, auxiliary materials, energy, transportation data, and byproduct data;

[0007] Step S2: Obtain the corresponding emission factors based on the different types of original data obtained for the target product throughout its life cycle;

[0008] Step S3: Calculate the carbon footprint accounting result according to the different types of original data and corresponding emission factors for the target product throughout its life cycle;

[0009] Step S4: Generate a full life cycle data account containing basic flow quantities, and calculate the carbon footprint of the product based on the full life cycle data account through the preset carbon footprint calculation model in the methodology.

[0010] Step S5: verifying based on the relative deviation of the two calculated carbon footprints satisfying the preset requirements, and outputting the verified carbon footprint result in a verifiable manner.

[0011] Preferably, the step S2 comprises: if the obtained original data of the target product full life cycle can obtain the corresponding emission factor from the ecoinvent database, obtaining the corresponding emission factor; if the corresponding emission factor cannot be obtained from the ecoinvent database, performing upstream data tracing to obtain the emission factor of the traced upstream data.

[0012] Preferably, the step S3 comprises:

[0013] sum(co2) = ax1+bx2+...+zxn

[0014] Wherein, sum(co2) represents the carbon footprint accounting result of the product; a, b,..., z respectively represent the emission factors corresponding to different types of original data; x1, x2,..., xn respectively represent different types of original data of the target product in the full life cycle.

[0015] Preferably, the basic flow quantity comprises:

[0016] Basic flow quantity = number of materials × amount of unit basic flow.

[0017] Preferably, the step S4 comprises:

[0018] Step S4.1: selecting a methodology according to the type of the target product and the evaluation target;

[0019] Step S4.2: establishing a mapping relationship between the basic flow quantity in the full life cycle data account and the characteristic factor set of the selected methodology;

[0020] Step S4.3: calculating the corresponding product carbon footprint result based on the basic flow quantity and the corresponding characteristic factor set.

[0021] According to the product carbon footprint evaluation system provided by the application, the product carbon footprint evaluation system comprises:

[0022] Module M1: obtaining original data of the target product full life cycle, including: raw materials, auxiliary materials, energy, transportation data and byproduct data;

[0023] Module M2: obtaining corresponding emission factors based on the obtained different types of original data of the target product full life cycle;

[0024] Module M3: calculating the carbon footprint accounting result according to the different types of original data of the target product full life cycle and the corresponding emission factors;

[0025] Module M4: generating a full life cycle data account containing the basic flow quantity, and calculating the carbon footprint of the product based on the full life cycle data account and a preset carbon footprint calculation model in the methodology;

[0026] Module M5: verifying the relative deviation of the two calculated carbon footprints based on the preset requirements, and outputting the verified carbon footprint result in a verifiable manner.

[0027] Preferably, the module M2 comprises: if the obtained original data of the full life cycle of the target product can obtain the corresponding emission factor from the ecoinvent database, obtaining the corresponding emission factor; if the corresponding emission factor cannot be obtained from the ecoinvent database, performing upstream data tracing to obtain the emission factor of the traced upstream data.

[0028] Preferably, the module M3 comprises:

[0029] sum(co2) = ax1 + bx2 +... + zxn

[0030] Wherein, sum(co2) represents the carbon footprint accounting result of the product; a, b,..., z respectively represent the emission factors corresponding to different types of original data; x1, x2,..., xn respectively represent different types of original data of the full life cycle of the target product.

[0031] Preferably, the basic flow quantity comprises:

[0032] Basic flow quantity = quantity of material × quantity of unit basic flow.

[0033] Preferably, the module M4 comprises:

[0034] Module M4.1: selecting a methodology according to the type of the target product and the evaluation target;

[0035] Module M4.2: establishing a mapping relationship between the basic flow quantity in the full life cycle data account and the characteristic factor set of the selected methodology;

[0036] Module M4.3: calculating the corresponding product carbon footprint result based on the basic flow quantity and the corresponding characteristic factor set.

[0037] Compared with the prior art, the present application has the following beneficial effects:

[0038] 1. The present application obtains the emission factor through double channels, significantly improves the data integrity, and makes the calculated carbon footprint more accurate;

[0039] 2、The application forms a two-dimensional evaluation system through direct calculation of emission factors and methodological model calculation, and combines bias verification to ensure the accuracy and reliability of the carbon footprint calculation results;

[0040] 3、The application dynamically selects a methodology according to product types and evaluation targets, and adapts to different standards such as ISO 14067 and PAS 2050, and is more flexible. BRIEF DESCRIPTION OF DRAWINGS

[0041] Other features, objects, and advantages of the application will become more apparent from the following detailed description of non-limiting embodiments with reference to the following drawings:

[0042] Figure 1 A product carbon footprint evaluation method flowchart.

[0043] Figure 2 A product carbon data whole-process management method flowchart based on a blockchain.

[0044] Figure 3 A product carbon data whole-process management system schematic diagram based on a blockchain. DETAILED DESCRIPTION

[0045] The application will be described in detail below with reference to specific embodiments. The following embodiments will help those skilled in the art to further understand the application, but do not limit the application in any form. It should be noted that, for those skilled in the art, without departing from the concept of the application, a number of changes and improvements can be made. These all belong to the protection scope of the application.

[0046] Example 1

[0047] According to the product carbon footprint evaluation method provided by the application, as shown in Figure 1 , comprising:

[0048] Step S1: obtaining original data of a target product throughout its life cycle, including raw materials, auxiliary materials, energy, transportation data, and byproduct data;

[0049] In this embodiment, the obtained original data is processed by cleaning, standardization, etc., to obtain processed original data;

[0050] Step S2: obtaining corresponding emission factors based on different types of original data of the target product throughout its life cycle;

[0051] Specifically, the step S2 comprises:

[0052] The step S2 comprises: if the obtained original data of the whole life cycle of the target product can obtain corresponding emission factors from the ecoinvent database, obtaining the corresponding emission factors; if the corresponding emission factors cannot be obtained from the ecoinvent database, performing upstream data tracing, so as to obtain the emission factors of the traced upstream data.

[0053] Step S3: calculating the carbon footprint accounting result according to the different types of original data of the whole life cycle of the target product and the corresponding emission factors;

[0054] Specifically, the step S3 comprises:

[0055] sum(co2) = ax1 + bx2 +... + zxn

[0056] Wherein, sum(co2) represents the carbon footprint accounting result of the product; a, b,..., z respectively represent the emission factors corresponding to different types of original data; x1, x2,..., xn respectively represent different types of original data of the whole life cycle of the target product.

[0057] Step S4: generating a whole life cycle data account containing the basic flow quantity, and calculating the carbon footprint of the product based on the whole life cycle data account through the preset carbon footprint calculation model in the methodology;

[0058] Specifically, the basic flow quantity comprises:

[0059] Basic flow quantity = number of materials × amount of unit basic flow.

[0060] Specifically, the step S4 comprises:

[0061] Step S4.1: selecting a methodology according to the type of the target product and the evaluation target;

[0062] Step S4.2: establishing a mapping relationship between the basic flow quantity in the whole life cycle data account and the characteristic factor set of the selected methodology;

[0063] Step S4.3: calculating the corresponding product carbon footprint result based on the basic flow quantity and the corresponding characteristic factor set.

[0064] Step S5: verifying based on the relative deviation of the two calculated carbon footprints satisfying the preset requirement, and outputting the verified carbon footprint result in a verifiable manner.

[0065] The application also provides a product carbon footprint evaluation system, which can be realized by executing the process steps of the product carbon footprint evaluation method, that is, the product carbon footprint evaluation method can be understood by those skilled in the art as the preferred embodiment of the product carbon footprint evaluation system.

[0066] Embodiment 2

[0067] Embodiment 2 is a preferred example of Embodiment 1

[0068] According to the product carbon data full-process management method based on a blockchain provided by the application, as shown in the method comprises the following steps: Figures 2 to 3 As shown in the figure, comprising:

[0069] Step 201: obtaining the original product carbon data provided by the supplier, including: enterprise basic information, product information, production process, product certificate, product BOM list and activity level data;

[0070] Step 202: preprocessing the obtained original product carbon data to obtain preprocessed product carbon data;

[0071] Step 203: storing the preprocessed product carbon data in the blockchain, and associating the identity of the supplier with the processed product carbon data;

[0072] Step 204: calculating the carbon footprint based on the preprocessed product carbon data stored in the blockchain;

[0073] Step 205: verifying the calculated carbon footprint data;

[0074] Step 206: storing the verified product carbon footprint data on the blockchain, and associating the identity of the supplier with the verified product carbon footprint data;

[0075] Step 207: when receiving an application request for product carbon data from the use side, authenticating the use side, and after authentication, providing corresponding data to the use side according to the authorized range of the supplier side; and providing corresponding benefits to the supplier side according to the preset rules.

[0076] This embodiment constructs a green supply chain full life cycle management framework based on a trusted data space, realizes the standardization of industrial product supply chain carbon data collection, dynamic accounting, trusted circulation and value conversion through blockchain storage and ecological synergy mechanism; through the multi-dimensional data management and cross-chain collaboration of the blockchain, the data island, the non-uniform carbon accounting standard and the low ecological synergy efficiency in the traditional supply chain are solved, forming a closed-loop management link covering "collection-accounting-certification-application-feedback", and driving the supply chain to transform from cost orientation to green value co-creation.

[0077] Specifically, the step 202 comprises:

[0078] The obtained original data is respectively authenticated to obtain authenticated original data; in this embodiment, the data authenticity is ensured by means of interfacing with an authoritative database, logical verification and the like.

[0079] Sensitive information identification is performed on the authenticated original data, and desensitization processing is performed on the identified sensitive information, to obtain desensitized original data;

[0080] Encryption processing is performed on the processed original data, to obtain encrypted original data;

[0081] The embodiment prevents data leakage through desensitization and encryption technology, and guarantees enterprise business secrets and privacy security.

[0082] In the embodiment, a suitable encryption algorithm is selected according to the data sensitivity and use requirements. For general sensitive data such as enterprise basic information and product basic information, an AES symmetric encryption algorithm is used to set a fixed key for encryption; for highly sensitive data such as production processes and key product credentials related to enterprise core business secrets, an RSA asymmetric encryption algorithm is used to combine enterprise public keys and system private keys for encryption processing.

[0083] Specifically, the step 204 includes:

[0084] sum(co2)=ax1+bx2+...+zxn

[0085] Wherein, sum(co2) represents the carbon footprint accounting result of the product; a, b,..., z respectively represent the emission factors corresponding to different types of original data; x1, x2,..., xn respectively represent different types of original data of the target product in the whole life cycle;

[0086] Wherein, the emission factor includes: if the obtained original data of the target product in the whole life cycle can obtain the corresponding emission factor from the ecoinvent database, the corresponding emission factor is obtained; if the corresponding emission factor cannot be obtained from the ecoinvent database, upstream data tracing is performed, so as to obtain the emission factor of the traced upstream data.

[0087] Specifically, the step 205 includes:

[0088] Step 2051: generating a whole life cycle data account containing basic flow quantity;

[0089] Basic flow quantity = quantity of material x quantity of unit basic flow;

[0090] Step 2052: calculating the carbon footprint of the product based on the whole life cycle data account through the preset carbon footprint calculation model in the methodology;

[0091] Specifically, the step 2052 includes:

[0092] Step 20521: Selecting a methodology according to the type of target product and the evaluation target;

[0093] Step 20522: Mapping the basic flow quantity in the full life cycle data account to the characteristic factor set of the selected methodology;

[0094] Step 20523: Calculating the corresponding product carbon footprint result based on the basic flow quantity and the corresponding characteristic factor set.

[0095] Step 2053: Verifying the two calculated carbon footprint data according to the preset required relative deviation; when the preset required relative deviation is met, it is the verified product carbon footprint data.

[0096] The embodiment double guarantees the accuracy of the carbon footprint data through secondary calculation and verification.

[0097] Specifically, the step 207 comprises:

[0098] Real-time monitoring of the data application channel, when receiving the product carbon data application request submitted by the use side, immediately analyzing the request, extracting key information from the request message, including the data type of the application, the supplier identifier corresponding to the application data, and the application purpose description, etc.

[0099] The enterprise qualification information submitted by the use side is authenticated, and when the enterprise qualification information authentication is correct, the data type and range applied by the use side are checked according to the authorized strategy stored by the supplier on the blockchain whether they are within the authorized permission; if the use side identity authentication and authorization verification are passed, the platform retrieves the corresponding data from the blockchain storage. Based on the preset income distribution rule, the platform triggers the smart contract to execute the fund distribution operation. The entire fund transfer process is recorded in real time on the blockchain, generating an unalterable transaction flow, which is convenient for all parties to query and audit.

[0100] The application also provides a product carbon data full-process management system based on a blockchain, which can be realized by executing the process steps of the product carbon data full-process management method based on a blockchain, that is, those skilled in the art can understand the product carbon data full-process management method based on a blockchain as the preferred embodiment of the product carbon data full-process management system based on a blockchain.

[0101] Those skilled in the art know that, in addition to implementing the system, device and each module thereof provided by the present application in the form of pure computer readable program code, the same program can also be implemented in the form of logic gate, switch, special integrated circuit, programmable logic controller and embedded microcontroller, etc. by logically programming the method steps. Therefore, the system, device and each module thereof provided by the present application can be considered as a hardware component, and the modules included therein for implementing various programs can also be considered as structures in the hardware component; the modules for implementing various functions can also be considered as both software programs for implementing methods and structures in the hardware component.

[0102] The specific embodiments of the present application are described above. It needs to be understood that the present application is not limited to the specific embodiments described above, and various changes or modifications can be made by those skilled in the art within the scope of the claims, which does not affect the essential content of the present application. The embodiments of the present application and the features in the embodiments can be combined with each other arbitrarily without conflict.

Claims

1. A product carbon footprint assessment method, characterized in that: include: Step S1: Obtain the original data of the target product throughout its entire life cycle, including raw materials, auxiliary materials, energy, transportation data, and by-product data; Step S2: Obtain corresponding emission factors based on different types of raw data obtained throughout the life cycle of the target product; Step S3: Calculate the carbon footprint accounting results based on different types of raw data and corresponding emission factors throughout the life cycle of the target product; Step S4: Generate a full life cycle data ledger containing basic flow quantities, and calculate the carbon footprint of the product based on the full life cycle data ledger using a preset carbon footprint calculation model in the methodology; Step S5: Verify the relative deviation of the two calculated carbon footprints based on whether it meets the preset requirements, and output the verified carbon footprint results in a verifiable manner.

2. The product carbon footprint assessment method according to claim 1, characterized in that: The step S2 includes: if the corresponding emission factor can be obtained from the ecoinvent database for the original data of the entire life cycle of the target product, then the corresponding emission factor is obtained; if the corresponding emission factor cannot be obtained from the ecoinvent database, upstream data is traced back to obtain the emission factor of the traced upstream data.

3. The product carbon footprint assessment method according to claim 1, characterized in that: The step S3 comprises: sum(co2)=ax1+bx2+...+zxn Where sum(co2) represents the carbon footprint calculation result of the product; a, b, ..., z represent the emission factors corresponding to different types of raw data; x1, x2, ..., xn represent different types of raw data throughout the life cycle of the target product.

4. The product carbon footprint assessment method according to claim 1, characterized in that: The number of basic streams includes: Basic flow quantity = quantity of materials × unit basic flow quantity.

5. The product carbon footprint assessment method according to claim 1, characterized in that: The step S4 comprises: Step S4.1: Select the methodology based on the target product type and evaluation objectives; Step S4.2: Establish a mapping relationship between the number of basic flows in the full life cycle data ledger and the characteristic factor set of the selected methodology; Step S4.3: Calculate the corresponding product carbon footprint result based on the basic flow quantity and the corresponding characteristic factor set.

6. A product carbon footprint assessment system, characterized in that: include: Module M1: Obtain the original data of the target product throughout its life cycle, including raw materials, auxiliary materials, energy, transportation data, and by-product data; Module M2: Obtain corresponding emission factors based on different types of raw data obtained throughout the life cycle of the target product; Module M3: Calculate the carbon footprint accounting results based on different types of raw data and corresponding emission factors throughout the target product’s life cycle; Module M4: Generate a full life cycle data ledger containing basic flow quantities, and calculate the product's carbon footprint based on the full life cycle data ledger using the preset carbon footprint calculation model in the methodology; Module M5: Verify the relative deviation of the two calculated carbon footprints based on the preset requirements, and output the verified carbon footprint results in a verifiable manner.

7. The product carbon footprint assessment system according to claim 6, characterized in that: The module M2 includes: if the corresponding emission factor can be obtained from the ecoinvent database for the original data of the target product's entire life cycle, then the corresponding emission factor is obtained; if the corresponding emission factor cannot be obtained from the ecoinvent database, upstream data is traced back to obtain the emission factor of the traced upstream data.

8. The product carbon footprint assessment system according to claim 6, characterized in that: The module M3 includes: sum(co2)=ax1+bx2+...+zxn Where sum(co2) represents the carbon footprint calculation result of the product; a, b, ..., z represent the emission factors corresponding to different types of raw data; x1, x2, ..., xn represent different types of raw data throughout the life cycle of the target product.

9. The product carbon footprint assessment system according to claim 6, characterized in that: The number of basic streams includes: Basic flow quantity = quantity of materials × unit basic flow quantity.

10. The product carbon footprint assessment system according to claim 6, characterized in that: The module M4 includes: Module M4.1: Select methodology based on target product type and assessment objectives; Module M4.2: Establish a mapping relationship between the number of basic flows in the full life cycle data ledger and the characteristic factor set of the selected methodology; Module M4.3: Calculate the corresponding product carbon footprint results based on the basic flow quantity and the corresponding characteristic factor set.

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