Method and device for quantifying product and service greenhouse gas emission reduction contribution
By obtaining accounting boundaries, distinguishing project types and baseline scenarios, determining key emission stages, and calculating greenhouse gas emission reduction contributions, the problem of low accuracy of greenhouse gas emission reduction contribution data in traditional methods is solved, and a more accurate Evaluation of emission reduction effects throughout the life cycle.
Patent Information
- Application Number
- CN202411396213.0
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2024-10-08
- Publication Date
- 2025-01-24
AI Technical Summary
Traditional product carbon footprint and life cycle evaluation methods fail to consider all stages of the entire life cycle when quantifying the contribution of greenhouse gas emission reduction, resulting in low data accuracy.
By obtaining the accounting boundary, including the relative carbon emission increment and emission reduction during the entire life cycle of all products and services sold during the reporting period that contribute to emission reduction, different project types and baseline scenarios are distinguished, and key emission stages are determined. , and calculate the greenhouse gas emission reduction contribution under different baseline scenarios.
The accuracy and credibility of the data reduction contribution data of greenhouse gas emission reduction is improved. Through the quantitative range of the whole life cycle, it will be included in all possible emissions stages to provide a more accurate emission reduction effect evaluation.
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Figure CN119358822A_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of carbon emission accounting, and more specifically, to a method and apparatus for quantifying the contribution of products and services to greenhouse gas emission reduction. Background Art
[0002] In order to meet the challenges of climate change, there is an urgent need for applicable accounting methods to help energy-saving and emission-reduction product manufacturers better identify, sort out and evaluate the greenhouse gas emission reduction contributions brought about by the application scenarios of their own products and services, and then further guide the research and development and innovation of related products, services and solutions in the field of clean technology within the company, and help customers understand the products and services on the market that have a positive impact on the climate. However, traditional product carbon footprint (Carbon Footprint of Product, CFP) and life cycle assessment (Life Cycle Assessment, LCA) focus on quantifying end-to-end greenhouse gas emissions, without considering the most likely baseline scenario, and most of the emission reduction effect calculations simply compare the use phases before and after the emission reduction products are put into operation, without including other phases of greenhouse gas emissions in the product's entire life cycle into the overall quantification range. The quantification method is relatively rough, resulting in a low accuracy in the evaluation of greenhouse gas emission reduction effects. Summary of the invention
[0003] The embodiments of the present application provide a method and device for quantifying the greenhouse gas emission reduction contribution of products and services, so as to at least solve the technical problem in the related art of low accuracy of greenhouse gas emission reduction contribution data generated by products and services with energy-saving and emission reduction effects.
[0004] According to one aspect of an embodiment of the present application, a method for quantifying the greenhouse gas emission reduction contribution of products and services is provided, including: obtaining an accounting boundary, the accounting boundary including: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contributions sold or officially put into use during the reporting period during their entire life cycle; distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; determining the key greenhouse gas emission stages under the different baseline scenarios; and calculating the greenhouse gas emission reduction contributions of products and services under the different baseline scenarios based on the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios.
[0005] Optionally, distinguishing the project types of the greenhouse gas emission reduction products and services and different baseline scenarios corresponding to the project types includes: obtaining the project types of the greenhouse gas emission reduction products and services, wherein the project types include: renovation projects applied by customers to existing infrastructure and new construction projects applied to new infrastructure; determining a first type of baseline scenario corresponding to the renovation project and a second type of baseline scenario corresponding to the new construction project.
[0006] Optionally, determining a first type of baseline scenario corresponding to the renovation project and a second type of baseline scenario corresponding to the new construction project includes: determining baseline scenarios S1-1 and S1-2 corresponding to the first type of baseline scenario, wherein the baseline scenario S1-1 is to replace the same type of product previously used, and the baseline scenario at this time is the emission scenario before replacement, and the baseline scenario S1-2 is that the same type of product was not originally equipped, and the baseline scenario at this time is the emission scenario before the greenhouse gas emission reduction product is equipped; determining baseline scenarios S2-1, S2-2 and S2-3 corresponding to the second type of baseline scenario, wherein the baseline scenario S2-1 is an emission scenario equipped with similar products provided by competitors, the baseline scenario S2-2 is an emission scenario when preset emission requirements are met, and the baseline scenario S2-3 is an emission scenario when similar products do not exist on the market.
[0007] Optionally, determining the key emission stages of greenhouse gases under the different baseline scenarios includes: obtaining multiple emission stages in the whole life cycle, wherein the multiple emission stages include: raw material procurement and preprocessing stage, production stage, product distribution and storage stage, use stage and recycling stage; in the case of the baseline scenario S1-1, determining the key emission stage to be the use stage; in the case of the baseline scenario S1-2, determining the key emission stage to be the raw material procurement and preprocessing stage, the production stage and the use stage; in the case of the baseline scenario S2-1, determining that there is no key emission stage; in the case of the baseline scenario S2-2, determining that there is no key emission stage; in the case of the baseline scenario S2-3, determining that the key emission stage is the raw material procurement and preprocessing stage, the production stage and the use stage.
[0008] Optionally, the greenhouse gas emission reduction contributions of products and services under the different baseline scenarios are calculated according to the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios, including: in the case of the baseline scenario S1-1, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be the relatively reduced emissions of customer production activities; in the case of the baseline scenario S1-2, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be the relatively reduced emissions of customer production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage; in the case of the baseline scenario S2-1, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be zero; in the case of the baseline scenario S2-2, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be zero; in the case of the baseline scenario S2-3, the quantified result is determined to be the relatively reduced emissions of customer production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage.
[0009] Optionally, the method also includes: determining the greenhouse gas emissions caused by the production, processing and transportation of raw materials as emissions generated in the raw material procurement and pre-processing stages; determining the greenhouse gas emissions caused by product manufacturing, assembly and packaging as emissions generated in the production stage; and using the project energy saving report calculation method, energy saving rate estimation method and investment payback period estimation method to determine the emissions relatively reduced from customer production activities in the use stage.
[0010] Optionally, after completing the calculation of the greenhouse gas emission reduction contribution, the method also includes: assigning uncertainties ranging from 0% to 15% to different variables used in the project energy saving report calculation method, energy saving rate estimation method, and investment payback period estimation method used in the relative reduction of emissions from customer production activities during the use phase; using the error propagation method to obtain the total uncertainty of the calculation result using the uncertainty evaluation index of the data of each calculation item, which is used to characterize the uncertainty of the quantitative results of the greenhouse gas emission reduction contribution of the products and services and to guide subsequent data quality improvements.
[0011] Optionally, the method further includes: the quantified result of the greenhouse gas emission reduction contribution of the service is the emissions reduced by extending the service life of the product minus the emissions generated by service personnel travel.
[0012] According to another aspect of an embodiment of the present application, a device for quantifying the greenhouse gas emission reduction contribution of products and services is also provided, including: an acquisition module for acquiring an accounting boundary, wherein the accounting boundary includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contributions sold or officially put into use in the reporting period during their entire life cycle; a differentiation module for distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; a determination module for determining the greenhouse gas key emission stages under the different baseline scenarios; and a quantification module for calculating the greenhouse gas emission reduction contribution of products and services under the different baseline scenarios based on the accounting boundary and the greenhouse gas key emission stages under the different baseline scenarios.
[0013] According to another aspect of an embodiment of the present application, a computer device is also provided, including: a memory and a processor, wherein the memory is used to store program instructions; the processor is connected to the memory and is used to execute the above-mentioned method for quantifying the greenhouse gas emission reduction contribution generated by products and services with energy-saving and emission-reduction effects.
[0014] According to another aspect of an embodiment of the present application, a non-volatile storage medium is also provided, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the above-mentioned method of quantifying the greenhouse gas emission reduction contribution generated by products and services with energy-saving and emission reduction effects by running the computer program.
[0015] According to another aspect of the embodiments of the present application, a computer program product is also provided, including computer instructions, which, when executed by a processor, implement the above-mentioned method for quantifying the greenhouse gas emission reduction contribution generated by products and services with energy-saving and emission-reduction effects.
[0016] In an embodiment of the present application, an accounting boundary is obtained, and the accounting boundary includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contributions sold or officially put into use in the reporting period during their entire life cycle; distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; determining the key greenhouse gas emission stages under the different baseline scenarios; calculating the greenhouse gas emission reduction contributions of products and services under the different baseline scenarios based on the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios, and conducting data uncertainty analysis on the quantified results to guide subsequent data quality improvements, so as to continuously improve the accuracy and credibility of the quantified results, thereby solving the technical problem of low accuracy of greenhouse gas emission reduction contribution data generated by quantifying products and services with energy-saving and emission reduction effects in related technologies. BRIEF DESCRIPTION OF THE DRAWINGS
[0017] The drawings described herein are used to provide a further understanding of the present application and constitute a part of the present application. The illustrative embodiments of the present application and their descriptions are used to explain the present application and do not constitute an improper limitation on the present application. In the drawings:
[0018] Figure 1 It is a hardware structure block diagram of a computer terminal for implementing a method for quantifying greenhouse gas emission reduction contribution of products and services according to an embodiment of the present application;
[0019] Figure 2 is a flow chart of a method for quantifying greenhouse gas emission reduction contributions of products and services according to an embodiment of the present application;
[0020] Figure 3 is a schematic diagram of quantification of greenhouse gas emission reduction contribution under a baseline scenario S1-1 according to an embodiment of the present application;
[0021] Figure 4 This is a schematic diagram of the quantitative contribution to greenhouse gas emission reduction under a baseline scenario S1-2 according to an embodiment of the present application;
[0022] Figure 5 It is a quantitative schematic diagram of greenhouse gas emission reduction contribution under a baseline scenario S2-1 and S2-2 according to an embodiment of the present application;
[0023] Figure 6 is a schematic diagram of quantification of greenhouse gas emission reduction contribution under a baseline scenario S2-3 according to an embodiment of the present application;
[0024] Figure 7 is a flow chart of another method for quantifying greenhouse gas emission reduction contributions of products and services according to an embodiment of the present application;
[0025] Figure 8 It is a structural diagram of a device for quantifying the greenhouse gas emission reduction contribution of products and services according to an embodiment of the present application. DETAILED DESCRIPTION
[0026] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present application.
[0027] It should be noted that the terms "first", "second", etc. in the specification and claims of the present application and the above-mentioned drawings are used to distinguish similar objects, and are not necessarily used to describe a specific order or sequence. It should be understood that the data used in this way can be interchangeable where appropriate, so that the embodiments of the present application described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any of their variations are intended to cover non-exclusive inclusions, for example, a process, method, system, product or device comprising a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.
[0028] The information collected in the embodiments of the present application is information and data authorized by the user or fully authorized by all parties, and the collection, storage, use, processing, transmission, provision, disclosure and application of the relevant data comply with the relevant laws, regulations and standards of the relevant regions, take necessary confidentiality measures, do not violate public order and good morals, and provide corresponding operation entrances for users to choose to authorize or reject automated decision-making results; if the user chooses to reject, the expert decision-making process will be entered.
[0029] The explanations of terms in the embodiments of this application are as follows:
[0030] Greenhouse gas emission reduction contribution: the amount of greenhouse gas emissions reduced due to the use of products and services with energy-saving and emission-reduction effects compared to the most likely baseline scenario.
[0031] Greenhouse gases: Gaseous components in the atmosphere that exist naturally or are produced by human activities and that absorb and emit radiation produced by the Earth's surface, atmosphere and clouds with wavelengths in the infrared spectrum. They include carbon dioxide (CO2), methane (CH4), nitrous oxide (N2O), hydrofluorocarbons (HFCs), perfluorocarbons (PFCs), sulfur hexafluoride (SF6) and nitrogen trifluoride (NF3).
[0032] Carbon dioxide equivalent (CO2e): Different greenhouse gases contribute differently to the greenhouse effect of the earth. In order to unify the measurement of the greenhouse effect, carbon dioxide equivalent is defined as the basic unit for measuring the greenhouse effect. The carbon dioxide equivalent of a gas is the mass of the gas multiplied by its global warming potential (GWP).
[0033] Global Warming Potential (GWP): A coefficient that relates the impact of a unit mass of a greenhouse gas on the global warming effect over a specific period of time to the impact of an equal amount of carbon dioxide on the global warming effect. GWP is usually calculated based on a time span of 100 years and is recorded as GWP 100 .
[0034] Product: refers to entities, including hardware equipment and software products that can contribute to greenhouse gas emission reduction.
[0035] Service: specifically refers to manual service activities, including maintenance, professional testing, software operation and maintenance, spare parts services, and other behaviors that can extend the service life of the equipment.
[0036] Full life cycle: the entire process from obtaining raw materials from nature or natural resources to final disposal, including raw material procurement and pre-processing stage, production stage, product distribution and storage stage, use stage, and recycling stage.
[0037] Renovation Project: refers to a project that uses new equipment to replace or upgrade the original equipment on the original infrastructure.
[0038] New construction project: refers to a project that builds new equipment on top of new infrastructure.
[0039] Baseline scenario: A case used as a reference for greenhouse gas emissions, that is, the most likely scenario when the customer does not use products or services that have energy-saving and emission-reduction effects.
[0040] Raw data: data obtained directly through measurement or statistics, that is, first-hand data.
[0041] Secondary data: refers to data other than original data, including but not limited to data from databases and public literature, default emission factors in national greenhouse gas inventories, calculated data, estimated values or other representative data verified by the competent authorities.
[0042] Data quality: The ability of the data to meet the requirements of this method.
[0043] Uncertainty analysis: Estimate the accuracy of data that may be biased and provide a qualitative description of the causes that may cause the deviation.
[0044] In order to solve the problems existing in the related art, the embodiment of the present application provides a method for quantifying the contribution of products and services to greenhouse gas emission reduction. The method can be run on Figure 1 In the computer terminal shown, the computer terminal is explained below.
[0045] The method embodiment for quantifying the greenhouse gas emission reduction contribution of products and services provided in the embodiments of the present application can be executed in a mobile terminal, a computer terminal or a similar computing device. Figure 1 The hardware structure block diagram of a computer terminal for implementing a method for quantifying the contribution of products and services to greenhouse gas emission reduction is shown. Figure 1As shown, the computer terminal 10 may include one or more (102a, 102b, ..., 102n are used to illustrate) processors (the processor may include but is not limited to a processing device such as a microprocessor MCU or a programmable logic device FPGA), a memory 104 for storing data, and a transmission module 106 for communication functions connected via a wired and / or wireless network. In addition, it may also include: a display, a keyboard, a cursor control device, an input / output interface (I / O interface), a universal serial bus (USB) port (which may be included as one of the ports of the I / O interface), a network interface, and a BUS bus. Those skilled in the art can understand that Figure 1 The structure shown is only for illustration and does not limit the structure of the above electronic device. Figure 1 More or fewer components as shown, or with Figure 1 Different configurations are shown.
[0046] It should be noted that the one or more processors and / or other data processing circuits described above may generally be referred to herein as "data processing circuits". The data processing circuits may be embodied in whole or in part as software, hardware, firmware, or any other combination thereof. In addition, the data processing circuit may be a single independent processing module, or may be incorporated in whole or in part into any of the other components in the computer terminal 10. As described in the embodiments of the present application, the data processing circuit acts as a processor control (e.g., selection of a variable resistor terminal path connected to an interface).
[0047] The memory 104 can be used to store software programs and modules of application software, such as the program instructions / data storage device corresponding to the method for quantifying the greenhouse gas emission reduction contribution of products and services in the embodiment of the present application. The processor executes various functional applications and data processing by running the software programs and modules stored in the memory 104, that is, the method for quantifying the greenhouse gas emission reduction contribution of products and services is realized. The memory 104 may include a high-speed random access memory, and may also include a non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid-state memory. In some examples, the memory 104 may further include a memory remotely arranged relative to the processor, and these remote memories may be connected to the computer terminal 10 via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and a combination thereof.
[0048] The transmission module 106 is used to receive or send data via a network. The specific example of the above network may include a wireless network provided by a communication provider of the computer terminal 10. In one example, the transmission module 106 includes a network adapter (Network Interface Controller, NIC), which can be connected to other network devices through a base station so as to communicate with the Internet. In one example, the transmission module 106 can be a radio frequency (RF) module, which is used to communicate with the Internet wirelessly.
[0049] The display may be, for example, a touch screen liquid crystal display (LCD) that enables a user to interact with a user interface of the computer terminal 10 .
[0050] It should be noted that, in some optional embodiments, the above Figure 1 The computer terminal shown may include hardware elements (including circuits), software elements (including computer code stored on a computer-readable medium), or a combination of hardware elements and software elements. It should be noted that Figure 1 This is merely one example of a particular embodiment and is intended to illustrate the types of components that may be present in the computer terminal described above.
[0051] Under the above operating environment, an embodiment of the present application provides a method embodiment for quantifying the greenhouse gas emission reduction contribution of products and services. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although the logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.
[0052] Figure 2 is a flow chart of a method for quantifying the greenhouse gas emission reduction contribution of products and services according to an embodiment of the present application, such as Figure 2 As shown, the method comprises the following steps:
[0053] Step S202, obtaining the accounting boundary, which includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contribution sold or officially put into use in the reporting period during their entire life cycle (including direct and indirect impacts on customer production activities);
[0054] In the above step S202, the entire life cycle of the greenhouse gas emission reduction product includes: (1) the raw material procurement and pre-processing stage, which starts with the extraction of resources from nature and ends with the entry of greenhouse gas emission reduction product components into the product production facility; (2) the production stage, which starts with the entry of greenhouse gas emission reduction product components into the production site and ends with the exit of the finished product from the production facility; (3) the product distribution and storage stage, which is the transfer and storage process of greenhouse gas emission reduction products from the production plant to consumers; (4) the use stage, which starts with the consumer or end user owning the greenhouse gas emission reduction product and ends with the discarding of the used greenhouse gas emission reduction product and its transportation to a recycling or waste treatment facility; (5) the recycling and processing stage, which starts with the user discarding the used greenhouse gas emission reduction product and ends with the return of the greenhouse gas emission reduction product to nature as waste or entering another greenhouse gas emission reduction product life cycle.
[0055] It should be noted that the reporting period refers to a specific period of time covered by the accounting, such as one year.
[0056] It should be noted that services that can contribute to greenhouse gas emission reduction also include: services, the entire life cycle of which is integrated with greenhouse gas emission reduction products. When accounting, it is necessary to identify the greenhouse gas emission reduction products corresponding to the service and the life cycle stage they are in. Step S204, distinguish the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types.
[0057] In the above step S204, the baseline scenario corresponds to a plurality of greenhouse gas emission scenarios, ie, the greenhouse gas emission scenario that is most likely to occur when the customer does not put the quantified object (products and services) into use.
[0058] Step S206, determining the key greenhouse gas emission stages under the different baseline scenarios;
[0059] Step S208, calculating the greenhouse gas emission reduction contribution of products and services under the different baseline scenarios according to the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios.
[0060] Through the above steps S202 to S208, the accounting boundary is obtained, and the accounting boundary includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contributions sold or officially put into use in the reporting period during their entire life cycle; distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; determining the greenhouse gas key emission stages under the different baseline scenarios; calculating the greenhouse gas emission reduction contributions of products and services under the different baseline scenarios according to the accounting boundary and the greenhouse gas key emission stages under the different baseline scenarios, and conducting data uncertainty analysis on the quantified results to guide subsequent data quality improvements, so as to continuously improve the accuracy and credibility of the quantified results, thereby solving the technical problem of low accuracy of greenhouse gas emission reduction contribution data generated by quantifying products and services with energy-saving and emission reduction effects in related technologies. The following is a detailed description.
[0061] In step S204 of the method for quantifying the greenhouse gas emission reduction contribution of products and services by the above-mentioned emission reduction products, the specific steps for distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types are as follows: obtaining the project types of the greenhouse gas emission reduction products and services, wherein the project types include: renovation projects applied by customers to existing infrastructure and new projects applied to new infrastructure; determining the first type of baseline scenario corresponding to the renovation project and the second type of baseline scenario corresponding to the new project.
[0062] The specific steps of determining the first type of baseline scenario corresponding to the renovation project and the second type of baseline scenario corresponding to the new construction project are as follows: determining the baseline scenario S1-1 and baseline scenario S1-2 corresponding to the first type of baseline scenario, wherein the baseline scenario S1-1 is to replace the same type of product previously used, and the baseline scenario at this time is the emission scenario before replacement, and the baseline scenario S1-2 is that the same type of product was not originally equipped, and the baseline scenario at this time is the emission scenario before the greenhouse gas emission reduction product is equipped; determining the baseline scenario S2-1, baseline scenario S2-2 and baseline scenario S2-3 corresponding to the second type of baseline scenario, wherein the baseline scenario S2-1 is the emission scenario of being equipped with the same type of product provided by competitors, the baseline scenario S2-2 is the emission scenario when the preset emission requirements are met, and the baseline scenario S2-3 is the emission scenario when there are no similar products on the market.
[0063] Specifically, since the baseline scenarios for reference and comparison of different project types are slightly different, the corresponding GHG emission reduction products are used to match the customer's original infrastructure or new infrastructure, and then the baseline scenarios under different project types are determined. It should be noted that the services are carried out on existing equipment and infrastructure, so they are uniformly classified as renovation projects.
[0064] (1) Baseline scenario corresponding to the renovation project;
[0065] Compared with the period when greenhouse gas emission reduction products and services were not adopted, the greenhouse gas emissions caused by the customer's production activities are reduced after the renovation project is put into operation. Therefore, the baseline scenario of the renovation project is identified as the initial scenario before the customer has adopted greenhouse gas emission reduction products and services, that is, the greenhouse gas emissions generated to the atmosphere before the greenhouse gas emission reduction products are put into operation. Specifically, it can be divided into the following two scenarios:
[0066] Baseline scenario S1-1: Replace the previously used similar products. The baseline scenario at this time is the emission scenario before replacement;
[0067] Baseline scenario S1-2: The same type of products were not originally equipped. The baseline scenario at this time is the emission scenario before the upgrade.
[0068] (2) Baseline scenario corresponding to the new project;
[0069] New projects (such as adding production lines, building new workshops, etc.) will inevitably increase their own greenhouse gas emissions, so the baseline scenario for new projects is a real market choice. Influenced by many factors such as competitive markets, finance, financing, technology, supervision, and conventional practices, the following three major baseline scenarios were finally screened and identified:
[0070] Baseline scenario S2-1: Emission scenario where competitors provide similar products;
[0071] It should be noted that mapping tables are preset for different competitors, and the mapping tables contain emission contribution calculation rules corresponding to the products of different competitors.
[0072] Baseline scenario S2-2: Emission scenario when the preset emission requirements are met;
[0073] Baseline scenario S2-3: Emission scenario with no similar substitute products on the market.
[0074] In some embodiments of the present application, determining the key emission stages of greenhouse gases under the different baseline scenarios includes: obtaining multiple emission stages in the whole life cycle, wherein the multiple emission stages include: raw material procurement and preprocessing stage, production stage, product distribution and storage stage, use stage and recycling stage; in the case of the baseline scenario S1-1, determining the key emission stage as the use stage; in the case of the baseline scenario S1-2, determining the key emission stage as the raw material procurement and preprocessing stage, the production stage and the use stage; in the case of the baseline scenario S2-1, determining that there is no key emission stage; in the case of the baseline scenario S2-2, determining that there is no key emission stage; in the case of the baseline scenario S2-3, determining the key emission stage as the raw material procurement and preprocessing stage, the production stage and the use stage.
[0075] Wherein, in the case of the baseline scenario S1-1, the quantitative result of the greenhouse gas emission reduction contribution of the product is determined as the relative reduction of emissions from the customer's production activities;
[0076] In the case of the baseline scenario S1-2, the quantitative result of the greenhouse gas emission reduction contribution of the product is determined as the relative reduction of emissions from customer production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage;
[0077] Under the baseline scenario S2-1, the quantitative result of the greenhouse gas emission reduction contribution of the product is determined to be zero;
[0078] Under the baseline scenario S2-2, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be zero;
[0079] In the case of the baseline scenario S2-3, the quantitative result is determined as the relatively reduced emissions from the customer's production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage.
[0080] Table 1
[0081]
[0082] As shown in Table 1, the product life cycle is divided into five stages: "raw material procurement and pre-processing", "production", "product distribution and storage", "use" and "recycling". Based on the principle of trade-offs, key emission stages are identified and the following two situations are ignored: ① Stages that only account for a small part of the emissions in the entire life cycle of the product, such as product distribution and storage, recycling and processing; ② Stages where the emission difference between the two is almost zero compared to the baseline scenario, ① and ② both indicate that the emission reduction effect can be ignored.
[0083] Specifically, (1) Baseline scenario S1-1: Replace the previously used similar products, such as Figure 3 As shown, the baseline scenario at this time is the emission scenario before substitution. In this scenario, the emissions in the product distribution and storage stage and the recycling and processing stage account for a very small proportion and can be ignored; the emissions in the raw material procurement and pre-processing stage and the production stage of similar products before and after substitution are similar, and the difference between the two is very small and almost zero, which can be ignored. Therefore, the contribution of greenhouse gas emission reduction = the relative reduction of emissions in customer production activities.
[0084] (2) Baseline scenario S1-2: No similar products were previously equipped, such as Figure 4 As shown in the figure, the baseline scenario at this time is the emission scenario before the upgrade. In this scenario, the emissions in the product distribution and storage stage and the recycling and processing stage account for a very small proportion and can be ignored; before the upgrade, the customer was not equipped with similar products, and there was no emission generated in the raw material procurement and pre-processing stage and the production stage in the baseline scenario. Therefore, the contribution to greenhouse gas emission reduction = the relatively reduced emissions from customer production activities - the emissions generated in the raw material procurement and pre-processing stage - the emissions generated in the production stage.
[0085] (3) Baseline scenario S2-1: Emission scenario where competitors provide similar products, such as Figure 5 As shown, this method assumes that both can produce the same emission reduction contribution, so the greenhouse gas emission reduction contribution in this scenario is 0.
[0086] (4) Baseline scenario S2-2: Emission scenario under preset emission requirements, such as Figure 5 As shown, since the quantified object has an emission reduction effect, it is assumed that it meets the mandatory requirements of the latest laws and regulations and produces the same emission reduction contribution, so the greenhouse gas emission reduction contribution in this scenario is 0.
[0087] (5) Baseline scenario S2-3: Emission scenario where there are no similar alternative products on the market, that is, the quantified object has a monopoly position and can only use this product, such as Figure 6 As shown, it is equivalent to the baseline scenario S1-2, and the contribution to greenhouse gas emission reduction = the relative reduction in emissions from customer production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage.
[0088] It should be noted that the analysis of key service emissions first identifies the products corresponding to the services provided, then analyzes the impact of the services on the carbon emissions of the relevant products throughout their life cycle (e.g., by extending the life of the product, carbon emissions caused by the production of new equipment can be avoided to a certain extent), and then subtracts the emissions of the service itself (such as service personnel's travel), and obtains the greenhouse gas emission reduction contribution generated by the service = emissions reduced by extending the service life of the product - emissions generated by service personnel's travel. It is understandable that services can avoid greenhouse gas emissions from production activities caused by reproducing new products (including raw material procurement and pre-processing stages, and production stages) by extending the service life of the corresponding equipment.
[0089] In an optional approach, greenhouse gas emissions caused by raw material production, processing and transportation are determined as emissions generated in the raw material procurement and pre-processing stages; greenhouse gas emissions caused by product manufacturing, assembly, packaging and other links are determined as emissions generated in the production stage; based on the availability of data, the project energy saving report calculation method, energy saving rate estimation method and investment payback period estimation method can be used to determine the relatively reduced emissions from customer production activities in the use stage.
[0090] Specifically, (1) the calculation method of emissions during the raw material procurement and pre-processing stages;
[0091] It is necessary to include direct or indirect greenhouse gas emissions caused by raw material production, processing and transportation. For details, please refer to the quantification method for this stage in the carbon footprint.
[0092] (2) Calculation of emissions during the production phase;
[0093] It covers direct or indirect greenhouse gas emissions caused by product manufacturing, assembly, packaging and other links. For details, please refer to the quantification method of this stage in the product carbon footprint.
[0094] (3) Calculation of relative emission reductions during the use phase;
[0095] For products, any of the three calculation methods can be selected based on data availability.
[0096] 1) Project energy saving report calculation method;
[0097] The energy-saving report data of the project acceptance is used as the calculation basis and the following formula is used for calculation.
[0098] C avoided =Q×E u ×EF×GWP×Y
[0099] Where:
[0100] C avoided——relative reduction in emissions from the customer’s production activities, expressed in tons of carbon dioxide equivalent (tCO2e);
[0101] Q——the number of qualified products produced by the device during the statistical period, in product units, depending on the type of product;
[0102] E u ——Relative energy saving per unit of product during the statistical period, in energy medium units;
[0103] EF – greenhouse gas emission factor of the corresponding energy medium;
[0104] GWP – Global Warming Potential;
[0105] Y——product service life, in years.
[0106] 2) Energy saving rate estimation method;
[0107] The relative average energy savings of products are estimated based on historical project information, market research and expert estimates using the following formula.
[0108] C avoid ed =E×R e ×EF×GWP×Y
[0109] Where:
[0110] C avoided ——relative reduction in emissions from the customer’s production activities, expressed in tons of carbon dioxide equivalent (tCO2e);
[0111] E——the total annual energy consumption of the factory or device during the statistical period, in energy medium units;
[0112] R e ——Relative average energy saving rate of the product, %;
[0113] EF – greenhouse gas emission factor of the corresponding energy medium;
[0114] GWP – Global Warming Potential;
[0115] Y——product service life, in years.
[0116] 3) Investment payback period estimation method;
[0117] The average product payback period and energy savings cost percentage are estimated based on historical project information, market research and expert estimates, and are estimated using the following formula.
[0118] C avoided =A c ÷P e ×EF×GWP×Y
[0119] in:
[0120]
[0121] Where:
[0122] C avoided ——relative reduction in emissions from the customer’s production activities, expressed in tons of carbon dioxide equivalent (tCO2e);
[0123] S——Annual sales volume of products during the statistical period, in yuan;
[0124] T b ——Average payback period of the baseline scenario, in years;
[0125] T——the average investment payback period of the quantified product, in years;
[0126] R c ——Ratio of energy saving to cost, %;
[0127] P e ——Unit price of corresponding energy medium, in yuan;
[0128] EF – greenhouse gas emission factor of the corresponding energy medium;
[0129] GWP – Global Warming Potential;
[0130] Y——product service life, in years;
[0131] A c ——Relative annual energy cost savings, in yuan.
[0132] For services, this method extends the service life of the corresponding equipment, thereby avoiding the greenhouse gas emissions from production activities caused by reproducing new products (including raw material procurement and pre-processing stages, and production stages). Emissions generated by service personnel's travel can be calculated by sorting out their travel modes and travel distances, and matching relevant emission factors.
[0133]
[0134] Where:
[0135] C avoided - relative reduction in emissions from the service, in tonnes of carbon dioxide equivalent (tCO2e);
[0136] C m&p - Emissions related to product production activities, including raw material procurement and pre-processing stages, and production stages, in tons of carbon dioxide equivalent (tCO2e);
[0137] Y——product service life, in years;
[0138] Y add ——The service life increased due to maintenance, in years;
[0139] R s ——Contribution of field service to maintenance.
[0140] Among them, after completing the calculation of the contribution to greenhouse gas emission reduction, the method also includes: assigning uncertainties ranging from 0% to 15% to the different variables used in the project energy saving report calculation method, energy saving rate estimation method, and investment payback period estimation method used in the relative reduction of emissions from customer production activities during the use phase; using the uncertainty evaluation index of the data of each calculation item through the error propagation method to obtain the total uncertainty of the calculation result, which is used to characterize the uncertainty of the quantitative results of the greenhouse gas emission reduction contribution of the products and services and guide subsequent data quality improvements.
[0141] Specifically, uncertainty analysis is an important part of this method, which aims to guide the improvement of subsequent data quality by comprehensively evaluating the sources of uncertainty in the calculation results, and to improve the accuracy and credibility of the disclosed data. The main ideas of uncertainty analysis are as follows: 1) determine the uncertainty of a single variable in the quantification process; 2) combine the uncertainty of a single variable into the uncertainty of the calculation method; 3) finally combine it into the total uncertainty of the calculation result. Identifying and analyzing the main sources of uncertainty is conducive to the subsequent improvement of data quality.
[0142] (1) Uncertainty of a single variable;
[0143] Original data and secondary data are distinguished according to the data source, and the uncertainty ranging from 0% to 15% is set for each variable based on the authority and representativeness of the data.
[0144] (2) Uncertainty in calculation methods;
[0145] The calculation method in this method only involves multiplication and division operations. The error transfer formula of multiplication and division operations is used to combine the uncertainties of individual calculation items to obtain the uncertainty (%) of the calculation method.
[0146]
[0147] Where:
[0148] U formula ——uncertainty of calculation method, %;
[0149] U1...U n ——Data uncertainty of n calculation items, %.
[0150] (3) The total uncertainty of the calculation results;
[0151] The calculation result is obtained by adding up the data obtained by the corresponding calculation method for all items during the statistical period. Different calculation methods have different degrees of uncertainty, and it is necessary to use the error transfer formula of addition and subtraction operations to conduct uncertainty analysis on the final combined calculation result.
[0152]
[0153] Where:
[0154] U total — the overall uncertainty of the calculation results;
[0155] U f1 ...U fn ——uncertainty of n calculation methods;
[0156] μ1...μ n ——Emission reduction of n projects during the statistical period, in tons of carbon dioxide equivalent (tCO2e).
[0157] Figure 7 is another way to quantify the contribution of products and services to greenhouse gas emissions reductions, such as Figure 7 As shown, including:
[0158] Step 1: Determine the accounting boundary;
[0159] Step 2: Distinguish between renovation and new construction projects and their baseline scenarios;
[0160] Step 3: Analyze key emission stages under different baseline scenarios;
[0161] Step 4: Calculate the key emission phases of different baseline scenarios;
[0162] Step 5: Uncertainty analysis of quantified results.
[0163] Figure 8 is a structural diagram of a device for quantifying the contribution of products and services to greenhouse gas emission reduction according to an embodiment of the present application, such as Figure 8 As shown, the device comprises:
[0164] An acquisition module is used to obtain an accounting boundary, which includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contributions sold or officially put into use during the reporting period during their entire life cycle; a differentiation module is used to differentiate the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; a determination module is used to determine the key greenhouse gas emission stages under the different baseline scenarios; a quantification module is used to calculate the greenhouse gas emission reduction contributions of products and services under the different baseline scenarios based on the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios.
[0165] Through the above-mentioned device for quantifying the greenhouse gas emission reduction contribution of products and services, an accounting boundary is obtained, and the accounting boundary includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contribution sold or officially put into use in the reporting period during their entire life cycle; distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; determining the key greenhouse gas emission stages under the different baseline scenarios; calculating the greenhouse gas emission reduction contribution of products and services under the different baseline scenarios based on the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios, and conducting data uncertainty analysis on the quantification results to guide subsequent data quality improvements, so as to continuously improve the accuracy and credibility of the quantification results, thereby solving the technical problem of low accuracy of data on quantifying the greenhouse gas emission reduction contribution generated by products and services with energy-saving and emission reduction effects in related technologies.
[0166] The differentiation module 82 in the above-mentioned device for quantifying the greenhouse gas emission reduction contribution of products and services includes: a differentiation submodule for distinguishing the project types of the greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types, including: obtaining the project types of the greenhouse gas emission reduction products and services, wherein the project types include: renovation projects applied by customers to existing infrastructure and new projects applied to new infrastructure; determining the first type of baseline scenario corresponding to the renovation project and the second type of baseline scenario corresponding to the new project.
[0167] The differentiation submodule includes: a differentiation unit, which is used to determine the first type of baseline scenario corresponding to the renovation project and the second type of baseline scenario corresponding to the new construction project, including: determining the baseline scenario S1-1 and baseline scenario S1-2 corresponding to the first type of baseline scenario, wherein the baseline scenario S1-1 is to replace the same type of product previously used, and the baseline scenario at this time is the emission scenario before replacement, and the baseline scenario S1-2 is that the same type of product was not originally equipped, and the baseline scenario at this time is the emission scenario before the greenhouse gas emission reduction product is equipped; determining the baseline scenario S2-1, baseline scenario S2-2 and baseline scenario S2-3 corresponding to the second type of baseline scenario, wherein the baseline scenario S2-1 is an emission scenario equipped with similar products provided by competitors, the baseline scenario S2-2 is an emission scenario when the preset emission requirements are met, and the baseline scenario S2-3 is an emission scenario when there are no similar products on the market.
[0168] The determination module 84 includes: a determination submodule, which is used to determine the key emission stages of greenhouse gases under the different baseline scenarios, including: obtaining multiple emission stages in the whole life cycle, wherein the multiple emission stages include: raw material procurement and preprocessing stage, production stage, product distribution and storage stage, use stage and recycling stage; in the case of the baseline scenario S1-1, determining that the key emission stage is the use stage; in the case of the baseline scenario S1-2, determining that the key emission stage is the raw material procurement and preprocessing stage, the production stage and the use stage; in the case of the baseline scenario S2-1, determining that the key emission stage is none; in the case of the baseline scenario S2-2, determining that the key emission stage is none; in the case of the baseline scenario S2-3, determining that the key emission stage is the raw material procurement and preprocessing stage, the production stage and the use stage.
[0169] The determination submodule includes: a determination unit, which is used to calculate the greenhouse gas emission reduction contribution of products and services under the different baseline scenarios according to the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios, including: in the case of the baseline scenario S1-1, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be the relatively reduced emissions of customer production activities; in the case of the baseline scenario S1-2, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be the relatively reduced emissions of customer production activities-emissions generated in the raw material procurement and pre-processing stages-emissions generated in the production stage; in the case of the baseline scenario S2-1, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be zero; in the case of the baseline scenario S2-2, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be zero; in the case of the baseline scenario S2-3, the quantified result is determined to be the relatively reduced emissions of customer production activities-emissions generated in the raw material procurement and pre-processing stages-emissions generated in the production stage.
[0170] The determination unit includes: a determination sub-unit, which is used to determine the greenhouse gas emissions caused by the production, processing and transportation of raw materials as the emissions generated in the raw material procurement and pre-processing stages; the greenhouse gas emissions caused by product manufacturing, assembly, packaging and other links as the emissions generated in the production stage; based on the availability of data, the project energy saving report calculation method, energy saving rate estimation method and investment payback period estimation method can be used to determine the emissions that are relatively reduced from customer production activities in the use stage.
[0171] After completing the calculation of greenhouse gas emission reduction contribution, at least the different variables used in the project energy saving report calculation method, energy saving rate estimation method, and investment payback period estimation method used in the relative reduction of emissions in the customer's production activities during the use phase shall be assigned uncertainties ranging from 0% to 15% respectively; the uncertainty evaluation index of the data of each calculation item shall be used through the error propagation method to obtain the total uncertainty of the calculation result, which shall be used to characterize the uncertainty of the quantitative results of the greenhouse gas emission reduction contribution of the products and services and guide subsequent data quality improvements. Among them, services can extend the service life of corresponding equipment, thereby avoiding greenhouse gas emissions from production activities caused by re-producing new products (including raw material procurement and pre-processing stages, and production stages). The quantitative result of the greenhouse gas emission reduction contribution of services is the emissions reduced by extending the service life of the product minus the emissions generated by service personnel travel.
[0172] It should be noted that Figure 8 The means shown for quantifying the greenhouse gas reduction contribution of products and services are used to implement Figure 2The method for quantifying the greenhouse gas emission reduction contribution of products and services is shown in the figure. Therefore, the relevant explanations in the above method for quantifying the greenhouse gas emission reduction contribution of products and services are also applicable to the device for quantifying the greenhouse gas emission reduction contribution of products and services, and will not be repeated here.
[0173] An embodiment of the present application also provides a computer device, including: a memory and a processor, wherein the memory is used to store program instructions; and the processor is connected to the memory and is used to execute the above-mentioned method for quantifying the greenhouse gas emission reduction contribution of products and services.
[0174] An embodiment of the present application also provides a non-volatile storage medium, which includes a stored computer program, wherein the device where the non-volatile storage medium is located executes the above-mentioned method of quantifying the greenhouse gas emission reduction contribution of products and services by running the computer program.
[0175] An embodiment of the present application also provides a computer program product, including a non-volatile computer-readable storage medium, wherein the non-volatile computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the method for quantifying the greenhouse gas emission reduction contribution of products and services in the present application are implemented.
[0176] An embodiment of the present application also provides a computer program product, including computer instructions, which, when executed by a processor, implement the steps of the method of quantifying the greenhouse gas emission reduction contribution of products and services in the present application.
[0177] An embodiment of the present application also provides a computer program, which, when executed by a processor, implements the steps of the method of quantifying the greenhouse gas emission reduction contribution of products and services in the present application.
[0178] The serial numbers of the above-mentioned embodiments of the present application are for description only and do not represent the advantages or disadvantages of the embodiments.
[0179] In the above embodiments of the present application, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, please refer to the relevant description of other embodiments.
[0180] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only schematic. For example, the division of the units can be a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.
[0181] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.
[0182] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.
[0183] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), mobile hard disk, disk or CD-ROM and other media that can store program codes.
[0184] The above is only a preferred implementation of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.
Claims
1. A method for quantifying the contribution of products and services to reducing greenhouse gas emissions, characterized in that: include: Obtain the accounting boundary, which includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contribution sold or officially put into use in the reporting period during their entire life cycle; Distinguish the project types of greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types; Determine the key greenhouse gas emission stages under the different baseline scenarios; The greenhouse gas emission reduction contribution of products and services under the different baseline scenarios is calculated based on the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios.
2. The method according to claim 1, characterized in that Distinguish the project types of greenhouse gas emission reduction products and services and the different baseline scenarios corresponding to the project types, including: Obtaining the project types of the greenhouse gas emission reduction products and services, wherein the project types include: renovation projects for existing infrastructure and new construction projects for new infrastructure; A first baseline scenario corresponding to the renovation project and a second baseline scenario corresponding to the new construction project are determined.
3. The method according to claim 2, characterized in that Determining the first baseline scenario corresponding to the renovation project and the second baseline scenario corresponding to the new construction project includes: Determine the baseline scenario S1-1 and the baseline scenario S1-2 corresponding to the first type of baseline scenario, wherein the baseline scenario S1-1 is to replace the same type of product previously used, and the baseline scenario at this time is the emission scenario before the replacement, and the baseline scenario S1-2 is to not have the same type of product originally equipped, and the baseline scenario at this time is the emission scenario before the greenhouse gas emission reduction product is equipped; Determine baseline scenarios S2-1, S2-2 and S2-3 corresponding to the second type of baseline scenarios, wherein baseline scenario S2-1 is an emission scenario when equipped with similar products provided by competitors, baseline scenario S2-2 is an emission scenario when preset emission requirements are met, and baseline scenario S2-3 is an emission scenario when similar products do not exist on the market.
4. The method according to claim 1, characterized in that Determine the key greenhouse gas emission stages under the different baseline scenarios, including: Acquire multiple emission stages in the whole life cycle, wherein the multiple emission stages include: raw material procurement and pre-processing stage, production stage, product distribution and storage stage, use stage and recycling stage; In the case of the baseline scenario S1-1, the key emission stage is determined to be the use stage; In the case of the baseline scenario S1-2, the key emission stages are determined to be the raw material procurement and pre-processing stage, the production stage and the use stage; In the case of the baseline scenario S2-1, it is determined that the key emission stage is none; In the case of the baseline scenario S2-2, the key emission stage is determined to be none; In the case of the baseline scenario S2-3, the key emission stages are determined to be the raw material procurement and pre-processing stage, the production stage and the use stage.
5. The method according to claim 4, characterized in that Calculate the greenhouse gas emission reduction contribution of products and services under the different baseline scenarios based on the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios, including: In the case of the baseline scenario S1-1, the quantitative result of the greenhouse gas emission reduction contribution of the product is determined as the relative reduction of emissions from the customer's production activities; In the case of the baseline scenario S1-2, the quantitative result of the greenhouse gas emission reduction contribution of the product is determined as the relative reduction of emissions from customer production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage; Under the baseline scenario S2-1, the quantitative result of the greenhouse gas emission reduction contribution of the product is determined to be zero; Under the baseline scenario S2-2, the quantified result of the greenhouse gas emission reduction contribution of the product is determined to be zero; In the case of the baseline scenario S2-3, the quantitative result is determined as the relatively reduced emissions from the customer's production activities - emissions generated in the raw material procurement and pre-processing stages - emissions generated in the production stage.
6. The method according to claim 5, characterized in that The method further comprises: Determine the greenhouse gas emissions caused by the production, processing and transportation of raw materials as the emissions generated during the procurement and pre-processing stages of the raw materials; Determine the greenhouse gas emissions caused by the production, manufacturing, assembly and packaging of products as emissions generated in the production stage; The project energy saving report calculation method, energy saving rate estimation method and investment payback period estimation method are used to determine the relative reduction in emissions from the customer's production activities during the described use phase.
7. The method according to claim 6, characterized in that After completing the calculation of the greenhouse gas emission reduction contribution, the method further includes: The different variables used in the project energy saving report calculation method, energy saving rate estimation method and investment payback period estimation method used in the relative reduction of emissions from the production activities of the customers in the use phase are assigned uncertainties ranging from 0% to 15%; The uncertainty evaluation index of the data of each calculation item is used through the error propagation method to obtain the total uncertainty of the calculation result, which is used to characterize the uncertainty of the quantitative results of the greenhouse gas emission reduction contribution of the products and services and guide subsequent data quality improvements.
8. A greenhouse gas emission reduction product emission reduction effect evaluation device, characterized in that: include: An acquisition module is used to acquire the accounting boundary, which includes: the relative carbon emission increment and emission reduction generated by all products and services with emission reduction contribution sold or officially put into use in the reporting period during their entire life cycle; A differentiation module, used to differentiate the project types of the greenhouse gas emission reduction products and services and different baseline scenarios corresponding to the project types; A determination module, used to determine the key greenhouse gas emission stages under the different baseline scenarios; A quantification module is used to calculate the greenhouse gas emission reduction contribution of products and services under the different baseline scenarios according to the accounting boundary and the key greenhouse gas emission stages under the different baseline scenarios.
9. A computer device, characterized in that: include: A memory and a processor, wherein the memory is used to store program instructions; The processor, connected to the memory, is used to execute the method of quantifying the greenhouse gas emission reduction contribution of products and services as described in any one of claims 1 to 7.
10. A computer program product comprising computer instructions, characterized in that: When the computer instructions are executed by a processor, the method for quantifying the greenhouse gas emission reduction contribution of products and services as described in any one of claims 1 to 7 is implemented.
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