Carbon footprint management method, device and platform of photovoltaic industry chain and storage medium

Abstract

The invention discloses a carbon footprint management method and device for a photovoltaic industry chain, a platform and a storage medium, and the method comprises the steps: obtaining a carbon footprint model and carbon emission factors, the carbon footprint model comprises a first sub-model and a second sub-model, the carbon emission factors comprise a first-class factor and a second-class factor, and the first-class factor and the second-class factor are different in source; the carbon emission factor of the second material is calculated according to the second sub-model, the activity data set of the second sub-model and the carbon emission factor set, the carbon emission factor set of the second sub-model comprises at least one second-class factor, and the carbon emission factor of the second material is a first-class factor; the carbon emission of the first material is calculated according to the first sub-model, the activity data set of the first sub-model and the carbon emission factor set, the activity data set of the first sub-model comprises activity data of the second material, and the carbon emission factor set of the first sub-model comprises second-class factors and carbon emission factors of the second material. Therefore, systematic carbon footprint management of the photovoltaic industry chain is realized, and the carbon footprint management efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of the photovoltaic industry, and in particular to a carbon footprint management method for the photovoltaic industry chain, a computer-readable storage medium, a carbon footprint management device for the photovoltaic industry chain, and a carbon footprint management platform for the photovoltaic industry chain. Background Art

[0002] Life cycle assessment (LCA) is widely used in carbon footprint analysis. It analyzes the environmental impacts of a product throughout its production, use, disposal, and recycling stages, including energy use, resource consumption, and pollutant emissions. This method comprises four parts: objective and scope definition, inventory analysis, impact assessment, and interpretation of results. However, the challenge with this technology is that there is currently little research on carbon footprint management in the photovoltaic industry, and there is no dedicated carbon footprint management platform for photovoltaic products. Summary of the Invention

[0003] The present invention aims to at least partially address one of the technical problems in the related art. To this end, a first object of the present invention is to propose a carbon footprint management method for the photovoltaic industry chain, which can achieve systematic carbon footprint management of the photovoltaic industry chain and improve carbon footprint management efficiency.

[0004] A second object of the present invention is to provide a computer-readable storage medium.

[0005] The third object of the present invention is to provide a carbon footprint management device for the photovoltaic industry chain.

[0006] The fourth object of the present invention is to provide a carbon footprint management platform for the photovoltaic industry chain.

[0007] To achieve the above-mentioned purpose, the carbon footprint management method of the photovoltaic industry chain proposed in the embodiment of the first aspect of the present invention includes: obtaining a carbon footprint model and a carbon emission factor, the carbon footprint model includes a first sub-model and a second sub-model, the carbon emission factor includes a first type of factor and a second type of factor, and the sources of the first type of factor and the second type of factor are different; calculating the carbon emission factor of the second material according to the second sub-model, the activity data group of the second sub-model and the carbon emission factor group of the second sub-model, the carbon emission factor group of the second sub-model includes at least one second type of factor, and the carbon emission factor of the second material is the first type of factor; calculating the carbon emissions of the first material according to the first sub-model, the activity data group of the first sub-model and the carbon emission factor group of the first sub-model, wherein the activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the second type of factor and the carbon emission factor of the second material.

[0008] According to an embodiment of the present invention, a carbon footprint management method for the photovoltaic industry chain is obtained. The carbon footprint model includes a first sub-model and a second sub-model. The carbon emission factor includes a first-class factor and a second-class factor, and the first-class factor and the second-class factor have different sources. Furthermore, the carbon emission factor of the second material is calculated based on the second sub-model, the activity data group of the second sub-model, and the carbon emission factor group of the second sub-model. The carbon emission factor group of the second sub-model includes at least one second-class factor, and the carbon emission factor of the second material is a first-class factor. Furthermore, the carbon emissions of the first material are calculated based on the first sub-model, the activity data group of the first sub-model, and the carbon emission factor group of the first sub-model. The activity data group of the first sub-model includes activity data of the second material, and the carbon emission factor group of the first sub-model includes the second-class factor and the carbon emission factor of the second material. Thus, systematic carbon footprint management of the photovoltaic industry chain is achieved, and carbon footprint management efficiency is improved.

[0009] In addition, the carbon footprint management method for the photovoltaic industry chain according to the above embodiment of the present invention may also have the following additional technical features:

[0010] According to one embodiment of the present invention, the carbon footprint model also includes a third sub-model, a fourth sub-model, and a fifth sub-model; the method also includes: calculating the carbon emission factor of the fifth material according to the fifth sub-model, the activity data group of the fifth sub-model and the carbon emission factor group of the fifth sub-model, the carbon emission factor group of the fifth sub-model including at least one second-category factor, and the carbon emission factor of the fifth material is the first-category factor; calculating the carbon emission factor of the fourth material according to the fourth sub-model, the activity data group of the fourth sub-model and the carbon emission factor group of the fourth sub-model, the activity data group of the fourth sub-model including the activity data of the fifth material, and the carbon emission factor group of the fourth sub-model including the second-category factors and the carbon emission factor of the fifth material; calculating the carbon emission factor of the third material according to the third sub-model, the activity data group of the third sub-model and the carbon emission factor group of the third sub-model, the activity data group of the third sub-model including the activity data of the fourth material, and the carbon emission factor group of the third sub-model including the second-category factors and the carbon emission factor of the fourth material; the activity data group of the second sub-model including the activity data of the third material, and the carbon emission factor group of the second sub-model including the carbon emission factor of the third material.

[0011] According to one embodiment of the present invention, the first material is a photovoltaic module, the second material is a solar cell, the third material is a silicon wafer, the fourth material is a single crystal silicon rod, and the fifth material is polycrystalline silicon.

[0012] According to one embodiment of the present invention, the polysilicon is granular silicon.

[0013] According to one embodiment of the present invention, the activity data group of the fifth sub-model includes activity data of industrial silicon, the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, and the carbon emission factor of industrial silicon is defined as the first type of factor. The carbon footprint model also includes a sixth sub-model, and the carbon emission factor of the industrial silicon is calculated based on the sixth sub-model, the activity data group of the sixth sub-model, and the carbon emission factor group of the sixth sub-model.

[0014] According to one embodiment of the present invention, the activity data group of the fifth sub-model includes activity data of industrial silicon, and the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, and the carbon emission factor of industrial silicon is defined as the second category factor.

[0015] According to one embodiment of the present invention, in the carbon emission factor group of the fifth sub-model, except the carbon emission factor of industrial silicon, all other carbon emission factors are the second category factors; in the carbon emission factor group of the fourth sub-model, except the carbon emission factor of polysilicon, all other carbon emission factors are the second category factors; in the carbon emission factor group of the third sub-model, except the carbon emission factor of silicon rods, all other carbon emission factors are the second category factors; in the carbon emission factor group of the second sub-model, except the carbon emission factor of silicon wafers, all other carbon emission factors are the second category factors; in the carbon emission factor group of the first sub-model, except the carbon emission factor of batteries, all other carbon emission factors are the second category factors.

[0016] According to one embodiment of the present invention, the carbon footprint management method of the photovoltaic industry chain further includes the following steps: obtaining identity information of a first object, and obtaining first operating permissions of the first object based on the identity information of the first object, wherein the first operating permissions include operating permissions for a carbon footprint model and operating permissions for a carbon emission factor; obtaining identity information of a second object, and obtaining second operating permissions of the second object based on the identity information of the second object, wherein the second operating permissions include permissions to input activity data.

[0017] To achieve the above-mentioned purpose, the computer-readable storage medium proposed in the second embodiment of the present invention stores a carbon footprint management program for the photovoltaic industry chain. When the carbon footprint management program for the photovoltaic industry chain is executed by the processor, the carbon footprint management method for the photovoltaic industry chain in the above-mentioned embodiment of the present invention is implemented.

[0018] According to the computer-readable storage medium of the embodiment of the present invention, by executing the carbon footprint management program of the photovoltaic industry chain stored thereon, it is possible to implement systematic carbon footprint management of the photovoltaic industry chain and improve the efficiency of carbon footprint management.

[0019] To achieve the above-mentioned purpose, the carbon footprint management device for the photovoltaic industry chain proposed in the third aspect of the present invention includes: an acquisition module for acquiring a carbon footprint model and a carbon emission factor, the carbon footprint model including a first sub-model and a second sub-model, the carbon emission factor including a first type of factor and a second type of factor, and the sources of the first type of factor and the second type of factor are different; a calculation module for calculating the carbon emission factor of the second material based on the second sub-model, the activity data group of the second sub-model and the carbon emission factor group of the second sub-model, the carbon emission factor group of the second sub-model including at least one second type of factor, and the carbon emission factor of the second material is the first type of factor; the calculation module is also used to calculate the carbon emissions of the first material based on the first sub-model, the activity data group of the first sub-model and the carbon emission factor group of the first sub-model, wherein the activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the second type of factor and the carbon emission factor of the second material.

[0020] According to an embodiment of the present invention, a carbon footprint management device for a photovoltaic industry chain acquires a carbon footprint model and a carbon emission factor through an acquisition module. The carbon footprint model includes a first sub-model and a second sub-model. The carbon emission factor includes a first-class factor and a second-class factor, and the first-class factor and the second-class factor have different sources. Furthermore, a calculation module calculates the carbon emission factor of a second material based on the second sub-model, the second sub-model's activity data group, and the second sub-model's carbon emission factor group. The second sub-model's carbon emission factor group includes at least one second-class factor, and the second material's carbon emission factor is a first-class factor. Furthermore, a calculation module calculates the carbon emissions of the first material based on the first sub-model, the first sub-model's activity data group, and the first sub-model's carbon emission factor group. The activity data group of the first sub-model includes activity data of the second material, and the first sub-model's carbon emission factor group includes the second-class factor and the carbon emission factor of the second material. Thus, systematic carbon footprint management of the photovoltaic industry chain is achieved, improving carbon footprint management efficiency.

[0021] To achieve the above-mentioned purpose, a carbon footprint management platform for the photovoltaic industry chain proposed in an embodiment of the fourth aspect of the present invention includes the carbon footprint management device for the photovoltaic industry chain according to the above-mentioned embodiment of the present invention.

[0022] The carbon footprint management platform for the photovoltaic industry chain according to the embodiment of the present invention can achieve systematic carbon footprint management of the photovoltaic industry chain and improve carbon footprint management efficiency by adopting the aforementioned carbon footprint management device for the photovoltaic industry chain.

[0023] Additional aspects and advantages of the present invention will be set forth in part in the description which follows and, in part, will be obvious from the description which follows, or may be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 is a flow chart of a method for managing carbon footprint of a photovoltaic industry chain according to an embodiment of the present invention;

[0025] Figure 2 is a schematic diagram of a carbon footprint model according to a carbon footprint management method for a photovoltaic industry chain according to an embodiment of the present invention;

[0026] Figure 3 is a flow chart of a method for managing carbon footprint of a photovoltaic industry chain according to an embodiment of the present invention;

[0027] Figure 4 is a flow chart of a method for managing carbon footprint of a photovoltaic industry chain according to an embodiment of the present invention;

[0028] Figure 5 is a block diagram of a carbon footprint management device for a photovoltaic industry chain according to an embodiment of the present invention;

[0029] Figure 6 4 is a block diagram of a carbon footprint management platform for a photovoltaic industry chain according to an embodiment of the present invention. DETAILED DESCRIPTION

[0030] The following describes embodiments of the present invention in detail, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended to be used to explain the present invention, and are not to be construed as limiting the present invention.

[0031] The following describes a carbon footprint management method for a photovoltaic industry chain, a computer-readable storage medium, a carbon footprint management device for a photovoltaic industry chain, and a carbon footprint management platform for a photovoltaic industry chain according to embodiments of the present invention with reference to the accompanying drawings.

[0032] First, the materials involved in the photovoltaic industry chain of the embodiments of the present invention are explained accordingly. Specifically, in some embodiments of the present invention, the first material is a photovoltaic module, the second material is a solar cell, the third material is a silicon wafer, the fourth material is a single crystal silicon rod, and the fifth material is polycrystalline silicon.

[0033] It should be understood that in some embodiments of the present invention, polysilicon is granular silicon, wherein granular silicon generally has the characteristics of low energy consumption and low carbon footprint, which helps to achieve the low-carbonization of the photovoltaic industry chain.

[0034] Figure 1 4 is a flow chart of a method for managing the carbon footprint of a photovoltaic industry chain according to an embodiment of the present invention.

[0035] Specifically, in some embodiments of the present invention, Figure 1 As shown in the figure, the carbon footprint management methods of the photovoltaic industry chain include:

[0036] S101, obtaining a carbon footprint model and a carbon emission factor. The carbon footprint model includes a first sub-model and a second sub-model. The carbon emission factor includes a first-category factor and a second-category factor. The first-category factor and the second-category factor have different sources.

[0037] It can be understood that in this embodiment of the present invention, the carbon footprint model, namely the LCA (Life Circle Assessment) model, can be used to measure the total greenhouse gas emissions of the photovoltaic industry chain at each stage of its life cycle. For details, reference can be made to ISO14040 and ISO14044 standards. In addition, one type of factor in the carbon emission factor can be obtained by calculation, usually the carbon factor of the main material (such as polysilicon, silicon rods, silicon wafers, batteries, etc.); the second type of factor in the carbon emission factor can be obtained by citing third-party data, usually the carbon emission factor of other auxiliary materials, energy, waste, etc. It should be noted that the carbon emission factor of industrial silicon can be obtained by modeling calculation or by citing third-party data.

[0038] It should be understood that for photovoltaics, the main materials contribute more to carbon footprint management. Therefore, in the above embodiment of the present invention, the main materials use the actual calculated carbon emission factors, while the auxiliary materials, energy and three wastes are combined by citing carbon emission factors, which can not only improve the calculation accuracy of carbon emissions, but also have operability.

[0039] S102, calculating the carbon emission factor of the second material based on the second sub-model, the activity data group of the second sub-model and the carbon emission factor group of the second sub-model, the carbon emission factor group of the second sub-model includes at least one second-class factor, and the carbon emission factor of the second material is a first-class factor.

[0040] Furthermore, in some embodiments of the present invention, the activity data group of the second sub-model includes activity data of the third material, and the carbon emission factor group of the second sub-model includes the carbon emission factor of the third material.

[0041] It is understandable that if Figure 2 As shown, in this embodiment of the present invention, the second sub-model corresponds to the preparation process of the second material (solar cell), the main material on the input side of the second sub-model is the third material (silicon wafer), and the output side of the second sub-model is the second material. Therefore, the carbon emission factor of the solar cell can be calculated by combining the activity data of the silicon wafer and the carbon emission factor through the second sub-model.

[0042] S103, calculating the carbon emissions of the first material based on the first sub-model, the activity data group of the first sub-model, and the carbon emission factor group of the first sub-model, wherein the activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes two types of factors and the carbon emission factor of the second material.

[0043] It is understandable that if Figure 2 As shown, in this embodiment of the present invention, the first sub-model corresponds to the preparation process of the first material (photovoltaic module), the main material on the input side of the first sub-model is the second material (solar cell), and the output side of the first sub-model is the first material. Therefore, the carbon emission factor of the photovoltaic module can be calculated by combining the activity data and carbon emission factor of the solar cell through the first sub-model, and then the carbon emission amount of the first material can be calculated.

[0044] Furthermore, in some embodiments of the present invention, Figure 2 As shown, the carbon footprint model also includes a third sub-model, a fourth sub-model, and a fifth sub-model, wherein Figure 3 As shown, the method further includes:

[0045] S201, calculating the carbon emission factor of the fifth material based on the fifth sub-model, the activity data group of the fifth sub-model and the carbon emission factor group of the fifth sub-model, the carbon emission factor group of the fifth sub-model includes at least one Class II factor, and the carbon emission factor of the fifth material is a Class I factor.

[0046] Optionally, in the above embodiment of the present invention, the activity data group of the fifth sub-model includes: activity data on the input side (the amount of industrial silicon consumed, the amount of energy consumed, and the amount of other auxiliary materials consumed), and activity data on the output side (the amount of polysilicon produced, the amount of three wastes discharged, and the amount of by-products obtained). The carbon emission factor group of the fifth sub-model may include: the carbon emission factor of industrial silicon (which can be calculated from the upstream industrial silicon preparation process or obtained by citing third-party data), the carbon emission factor of energy, the emission factor of other auxiliary materials, the carbon emission factor of three wastes, and the carbon emission factor of by-products.

[0047] It is understood that in this embodiment of the present invention, Figure 2 As shown, the fifth sub-model corresponds to the preparation process of the fifth material (polysilicon), the main material on the input side of the fifth sub-model is industrial silicon, and the output side of the fifth sub-model is the fifth material. Therefore, the carbon emission factor of polysilicon can be calculated by combining the activity data and carbon emission factor of industrial silicon through the fifth sub-model.

[0048] Specifically, the calculation method of the carbon emission factor of polysilicon is as follows: (amount of industrial silicon consumed * carbon emission factor of industrial silicon + amount of energy consumed * carbon emission factor of energy + amount of other auxiliary materials consumed * carbon emission factor of other auxiliary materials + amount of three wastes emitted * carbon emission factor of three wastes + amount of by-products obtained * carbon emission factor of by-products) / amount of polysilicon produced.

[0049] It should be noted that this article does not provide a comprehensive and detailed list of carbon emission activities such as energy, auxiliary materials, and waste, but only provides a brief overview. Furthermore, carbon emission activities on the input and output sides are not limited to these, such as energy, auxiliary materials, and waste. Those skilled in the art can select carbon emission activities on the input and output sides based on their specific circumstances.

[0050] S202, calculating the carbon emission factor of the fourth material based on the fourth sub-model, the activity data group of the fourth sub-model and the carbon emission factor group of the fourth sub-model, the activity data group of the fourth sub-model including the activity data of the fifth material, and the carbon emission factor group of the fourth sub-model including the second type of factors and the carbon emission factor of the fifth material.

[0051] Optionally, in the above embodiment of the present invention, the activity data group of the fourth sub-model may include: activity data on the input side (the amount of polysilicon consumed, the amount of energy consumed, and the amount of other auxiliary materials consumed), and activity data on the output side (the amount of silicon rods produced, and the amount of three wastes discharged). The carbon emission factor group of the fourth sub-model may include: the carbon emission factor of polysilicon (calculated by the upstream fifth sub-model, i.e., the polysilicon preparation process), the carbon emission factor of energy, the carbon emission factor of other auxiliary materials, and the carbon emission factor of three wastes.

[0052] It is understood that in this embodiment of the present invention, Figure 2 As shown, the fourth sub-model corresponds to the preparation process of the fourth material (single crystal silicon rod), the main material on the input side of the fourth sub-model is the fifth material (polycrystalline silicon), and the output side of the fourth sub-model is the fourth material. Therefore, the carbon emission factor of the single crystal silicon rod can be calculated by combining the activity data and carbon emission factor of polycrystalline silicon through the fourth sub-model.

[0053] Specifically, the method for calculating the carbon emission factor of single crystal silicon rods is as follows: (amount of polysilicon consumed * carbon emission factor of polysilicon + amount of energy consumed * carbon emission factor of energy + amount of other auxiliary materials consumed * carbon emission factor of other auxiliary materials + amount of three wastes emitted * carbon emission factor of three wastes) / amount of single crystal silicon rods produced.

[0054] S203, calculating the carbon emission factor of the third material based on the third sub-model, the activity data group of the third sub-model and the carbon emission factor group of the third sub-model, the activity data group of the third sub-model including the activity data of the fourth material, and the carbon emission factor group of the third sub-model including the second type of factors and the carbon emission factor of the fourth material.

[0055] It is understood that in this embodiment of the present invention, Figure 2 As shown, the third sub-model corresponds to the preparation process of the third material (silicon wafer), the main material on the input side of the third sub-model is the fourth material (single crystal silicon rod), and the output side of the third sub-model is the third material. Therefore, the carbon emission factor of the silicon wafer can be calculated by combining the activity data of the single crystal silicon rod and the carbon emission factor through the third sub-model.

[0056] It should be understood that in the above examples of the present invention, the carbon emission factor of the downstream main material can be calculated based on the upstream, and so on, the carbon emission factor of the silicon wafer and the carbon emission factor of the solar cell can be obtained respectively, and then the carbon emissions of the downstream photovoltaic industry chain can be calculated.

[0057] Furthermore, in some embodiments of the present invention, the activity data group of the fifth sub-model includes activity data of industrial silicon, the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, the carbon emission factor of industrial silicon is defined as a class of factors, and the carbon footprint model also includes a sixth sub-model, which calculates the carbon emission factor of industrial silicon based on the sixth sub-model, the activity data group of the sixth sub-model, and the carbon emission factor group of the sixth sub-model.

[0058] It can be understood that in this embodiment of the present invention, the carbon emission factor of industrial silicon is defined as a type of factor, which can be obtained by calculation. Therefore, the sixth sub-model is introduced, wherein the sixth sub-model corresponds to the industrial silicon preparation process, the main material on the input side is silica, and the output side is industrial silicon. Therefore, the carbon emission factor of industrial silicon can be calculated by combining the activity data of silica and the carbon emission factor through the sixth sub-model.

[0059] Furthermore, in some embodiments of the present invention, the activity data group of the fifth sub-model includes activity data of industrial silicon, the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, and the carbon emission factor of industrial silicon is defined as a second-class factor.

[0060] It can be understood that, in this embodiment of the present invention, the carbon emission factor of industrial silicon is defined as a second-category factor and, therefore, can be directly obtained by citing third-party data.

[0061] Specifically, in the above-mentioned embodiment of the present invention, the carbon emission factor of industrial silicon can be obtained by modeling and calculation, or by citing third-party data.

[0062] Furthermore, in some embodiments of the present invention, in the carbon emission factor group of the fifth sub-model, except the carbon emission factor of industrial silicon, all other carbon emission factors are Class II factors, in the carbon emission factor group of the fourth sub-model, except the carbon emission factor of polysilicon, all other carbon emission factors are Class II factors, in the carbon emission factor group of the third sub-model, except the carbon emission factor of silicon rods, all other carbon emission factors are Class II factors, in the carbon emission factor group of the second sub-model, except the carbon emission factor of silicon wafers, all other carbon emission factors are Class II factors, and in the carbon emission factor group of the first sub-model, except the carbon emission factor of solar cells, all other carbon emission factors are Class II factors.

[0063] It is understood that in this embodiment of the present invention, Figure 2 As shown, the carbon emission factor of the main material input at the current node is calculated by the previous node. For example, the carbon factor of the main material (such as polysilicon, silicon rods, silicon wafers, batteries, etc.) in this application can be obtained by calculation, which is the aforementioned type 1 factor, and other auxiliary materials, energy, waste, etc. can all or partly refer to third-party data, which is the aforementioned type 2 factor. In addition, for photovoltaics, the main material contributes greatly to the carbon footprint. Therefore, in this embodiment of the present invention, the main material adopts the actual calculated carbon emission factor, and the auxiliary materials, energy and three wastes are combined in a way that quotes the carbon emission factors, which can not only improve the calculation accuracy of carbon emissions, but also have operability.

[0064] It should be understood that in the above-mentioned embodiments of the present invention, the activity data on the input side of each sub-model includes but is not limited to main materials, other auxiliary materials and energy, etc., and the activity data on the output side of each sub-model includes but is not limited to main products, by-products and waste, etc.

[0065] Furthermore, in some embodiments of the present invention, the carbon footprint management method of the photovoltaic industry chain, such as Figure 4 As shown, the following steps are included:

[0066] S301: Acquire identity information of a first object, and acquire first operation permissions of the first object based on the identity information of the first object, wherein the first operation permissions include operation permissions for a carbon footprint model and operation permissions for a carbon emission factor.

[0067] It is understood that the identity information of the first object can be set as the master account. The first operation permission of the master account can include the operation permission for the carbon footprint model and the operation permission for the carbon emission factor. That is, the master account can create and modify the model and update the data of the carbon emission factor library, thereby realizing the centralized management of the model and carbon emission factors, so that the carbon footprint data can be dynamically updated.

[0068] S302: Acquire identity information of the second object, and acquire second operation permissions of the second object based on the identity information of the second object, wherein the second operation permissions include permission to input activity data.

[0069] It is understandable that the identity information of the second object can be set as a sub-account, and the second operation permission of the sub-account can include the permission to input activity data, that is, the sub-account only has the permission to upload activity factors, so that each link in the industrial chain can regularly update activity data, thereby realizing distributed management of activity data and enabling carbon footprint data to be dynamically updated.

[0070] In summary, according to the carbon footprint management method for the photovoltaic industry chain in an embodiment of the present invention, a carbon footprint model and a carbon emission factor are obtained. The carbon footprint model includes a first sub-model and a second sub-model. The carbon emission factor includes a first type factor and a second type factor. The first type factor and the second type factor have different sources. Then, the carbon emission factor of the second material is calculated based on the second sub-model, the activity data group of the second sub-model, and the carbon emission factor group of the second sub-model. The carbon emission factor group of the second sub-model includes at least one second type factor. The carbon emission factor of the second material is a first type factor. Furthermore, the carbon emissions of the first material are calculated based on the first sub-model, the activity data group of the first sub-model, and the carbon emission factor group of the first sub-model. The activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the second type factor and the carbon emission factor of the second material. Thus, systematic carbon footprint management of the photovoltaic industry chain is achieved, and carbon footprint management efficiency is improved.

[0071] Based on the carbon footprint management method for the photovoltaic industry chain in the aforementioned embodiment of the present invention, the embodiment of the present invention further proposes a computer-readable storage medium on which a carbon footprint management program for the photovoltaic industry chain is stored. When the carbon footprint management program for the photovoltaic industry chain is executed by a processor, the carbon footprint management method for the photovoltaic industry chain in the aforementioned embodiment of the present invention is implemented.

[0072] It should be understood that the specific implementation of the computer-readable storage medium in the embodiment of the present invention can refer to the carbon footprint management method for the photovoltaic industry chain in the aforementioned embodiment of the present invention, and will not be repeated here to reduce redundancy.

[0073] In summary, according to the computer-readable storage medium of the embodiment of the present invention, by executing the carbon footprint management program of the photovoltaic industry chain stored thereon, it is possible to implement systematic carbon footprint management of the photovoltaic industry chain and improve the efficiency of carbon footprint management.

[0074] Figure 5 4 is a block diagram of a carbon footprint management device for a photovoltaic industry chain according to an embodiment of the present invention.

[0075] Specifically, in some embodiments of the present invention, Figure 5As shown, the carbon footprint management device 100 for the photovoltaic industry chain includes: an acquisition module 10 and a calculation module 20.

[0076] Among them, the acquisition module 10 is used to obtain the carbon footprint model and carbon emission factor. The carbon footprint model includes a first sub-model and a second sub-model. The carbon emission factor includes a first type of factor and a second type of factor. The first type of factor and the second type of factor have different sources; the calculation module 20 is used to calculate the carbon emission factor of the second material based on the second sub-model, the activity data group of the second sub-model and the carbon emission factor group of the second sub-model. The carbon emission factor group of the second sub-model includes at least one second type of factor, and the carbon emission factor of the second material is a first type of factor; the calculation module is also used to 20 calculate the carbon emissions of the first material based on the first sub-model, the activity data group of the first sub-model and the carbon emission factor group of the first sub-model, wherein the activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the second type of factor and the carbon emission factor of the second material.

[0077] Furthermore, in some embodiments of the present invention, the carbon footprint model also includes a third sub-model, a fourth sub-model, and a fifth sub-model; the calculation module 20 is also used to calculate the carbon emission factor of the fifth material based on the fifth sub-model, the activity data group of the fifth sub-model and the carbon emission factor group of the fifth sub-model, the carbon emission factor group of the fifth sub-model includes at least one Class II factor, and the carbon emission factor of the fifth material is a Class I factor; calculate the carbon emission factor of the fourth material based on the fourth sub-model, the activity data group of the fourth sub-model and the carbon emission factor group of the fourth sub-model, the activity data group of the fourth sub-model includes the activity data of the fifth material, and the carbon emission factor group of the fourth sub-model includes the Class II factors and the carbon emission factor of the fifth material; calculate the carbon emission factor of the third material based on the third sub-model, the activity data group of the third sub-model and the carbon emission factor group of the third sub-model, the activity data group of the third sub-model includes the activity data of the fourth material, and the carbon emission factor group of the third sub-model includes the Class II factors and the carbon emission factor of the fourth material; the activity data group of the second sub-model includes the activity data of the third material, and the carbon emission factor group of the second sub-model includes the carbon emission factor of the third material.

[0078] Furthermore, in some embodiments of the present invention, the first material is a photovoltaic module, the second material is a solar cell, the third material is a silicon wafer, the fourth material is a single crystal silicon rod, and the fifth material is polycrystalline silicon.

[0079] Furthermore, in some embodiments of the present invention, the activity data group of the fifth sub-model includes activity data of industrial silicon, the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, the carbon emission factor of industrial silicon is defined as a class of factors, the carbon footprint model also includes a sixth sub-model, and the calculation module 20 is also used to calculate the carbon emission factor of industrial silicon based on the sixth sub-model, the activity data group of the sixth sub-model, and the carbon emission factor group of the sixth sub-model.

[0080] Furthermore, in some embodiments of the present invention, the activity data group of the fifth sub-model includes activity data of industrial silicon, the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, and the carbon emission factor of industrial silicon is defined as a second-class factor.

[0081] Furthermore, in some embodiments of the present invention, in the carbon emission factor group of the fifth sub-model, except the carbon emission factor of industrial silicon, all other carbon emission factors are Class II factors, in the carbon emission factor group of the fourth sub-model, except the carbon emission factor of polysilicon, all other carbon emission factors are Class II factors, in the carbon emission factor group of the third sub-model, except the carbon emission factor of silicon rods, all other carbon emission factors are Class II factors, in the carbon emission factor group of the second sub-model, except the carbon emission factor of silicon wafers, all other carbon emission factors are Class II factors, and in the carbon emission factor group of the first sub-model, except the carbon emission factor of batteries, all other carbon emission factors are Class II factors.

[0082] Furthermore, in some embodiments of the present invention, the acquisition module 10 is also used to obtain the identity information of the first object, and obtain the first operation permission of the first object based on the identity information of the first object, wherein the first operation permission includes the operation permission of the carbon footprint model and the operation permission of the carbon emission factor; obtain the identity information of the second object, and obtain the second operation permission of the second object based on the identity information of the second object, wherein the second operation permission includes the permission to input activity data.

[0083] It should be understood that the specific implementation of the carbon footprint management device for the photovoltaic industry chain in the embodiment of the present invention corresponds one-to-one to the specific implementation of the carbon footprint management method for the photovoltaic industry chain in the aforementioned embodiment of the present invention. To reduce redundancy, they will not be repeated here.

[0084] In summary, according to an embodiment of the present invention, the carbon footprint management device for the photovoltaic industry chain obtains a carbon footprint model and a carbon emission factor through an acquisition module. The carbon footprint model includes a first sub-model and a second sub-model. The carbon emission factor includes a first-class factor and a second-class factor. The first-class factor and the second-class factor have different sources. Then, the calculation module calculates the carbon emission factor of the second material based on the second sub-model, the activity data group of the second sub-model, and the carbon emission factor group of the second sub-model. The carbon emission factor group of the second sub-model includes at least one second-class factor, and the carbon emission factor of the second material is a first-class factor. Furthermore, the calculation module calculates the carbon emissions of the first material based on the first sub-model, the activity data group of the first sub-model, and the carbon emission factor group of the first sub-model. The activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the second-class factor and the carbon emission factor of the second material. Thus, systematic carbon footprint management of the photovoltaic industry chain is achieved, and carbon footprint management efficiency is improved.

[0085] Figure 6 4 is a block diagram of a carbon footprint management platform for a photovoltaic industry chain according to an embodiment of the present invention.

[0086] Specifically, in some embodiments of the present invention, Figure 6 As shown, the carbon footprint management platform 1000 of the photovoltaic industry chain includes the carbon footprint management device 100 of the photovoltaic industry chain according to the embodiment of the present invention.

[0087] It should be understood that the specific implementation of the carbon footprint management platform for the photovoltaic industry chain in the embodiment of the present invention can refer to the carbon footprint management method for the photovoltaic industry chain in the aforementioned embodiment of the present invention, and will not be repeated here to reduce redundancy.

[0088] In summary, the carbon footprint management platform for the photovoltaic industry chain according to the embodiment of the present invention, by adopting the aforementioned carbon footprint management device for the photovoltaic industry chain, can achieve systematic carbon footprint management of the photovoltaic industry chain and improve carbon footprint management efficiency.

[0089] It should be noted that the logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic device), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0090] It should be understood that various parts of the present invention can be implemented using hardware, software, firmware, or a combination thereof. In the above-described embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0091] Throughout this specification, reference to terms such as "one embodiment," "some embodiments," "examples," "specific examples," or "some examples" means that a specific feature, structure, material, or characteristic described in conjunction with that embodiment or example is included in at least one embodiment or example of the present invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.

[0092] In the description of the present invention, it should be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "up", "down", "front", "back", "left", "right", "vertical", "horizontal", "top", "bottom", "inside", "outside", "clockwise", "counterclockwise", "axial", "radial", "circumferential" and the like to indicate orientations or positional relationships based on the orientations or positional relationships shown in the accompanying drawings, and are only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation, and therefore should not be understood as limiting the present invention.

[0093] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0094] In the present invention, unless otherwise specified or limited, the terms "installed," "connected," "connect," "fixed," etc. should be understood in a broad sense. For example, they can refer to fixed connection, detachable connection, or integration; mechanical connection, electrical connection; direct connection, or indirect connection through an intermediate medium; internal communication between two components, or interaction between two components, unless otherwise specified. Those skilled in the art will understand the specific meanings of the above terms in the present invention based on specific circumstances.

[0095] In the present invention, unless otherwise expressly specified or limited, when a first feature is "above" or "below" a second feature, it may mean that the first and second features are in direct contact, or that the first and second features are in indirect contact through an intermediary. Furthermore, when a first feature is "above," "above," or "above" a second feature, it may mean that the first feature is directly above or diagonally above the second feature, or simply means that the first feature is at a higher level than the second feature. When a first feature is "below," "below," or "below" a second feature, it may mean that the first feature is directly below or diagonally below the second feature, or simply means that the first feature is at a lower level than the second feature.

[0096] Although the embodiments of the present invention have been shown and described above, it will be understood that the above embodiments are illustrative and are not to be construed as limitations on the present invention. A person skilled in the art may change, modify, replace and modify the above embodiments within the scope of the present invention.

Claims

1. A method for managing carbon footprint of a photovoltaic industry chain, characterized in that: The method comprises: Obtaining a carbon footprint model and a carbon emission factor, wherein the carbon footprint model includes a first sub-model and a second sub-model, and the carbon emission factor includes a first type of factor and a second type of factor, wherein the first type of factor and the second type of factor have different sources; Calculate the carbon emission factor of the second material according to the second sub-model, the activity data group of the second sub-model and the carbon emission factor group of the second sub-model, wherein the carbon emission factor group of the second sub-model includes at least one second-category factor, and the carbon emission factor of the second material is the first-category factor; The carbon emissions of the first material are calculated based on the first sub-model, the activity data group of the first sub-model, and the carbon emission factor group of the first sub-model, wherein the activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the two types of factors and the carbon emission factor of the second material.

2. The method for managing the carbon footprint of the photovoltaic industry chain according to claim 1, characterized in that: The carbon footprint model further includes a third sub-model, a fourth sub-model, and a fifth sub-model; the method further includes: Calculate the carbon emission factor of the fifth material according to the fifth sub-model, the activity data group of the fifth sub-model and the carbon emission factor group of the fifth sub-model, wherein the carbon emission factor group of the fifth sub-model includes at least one type II factor, and the carbon emission factor of the fifth material is the type I factor; Calculating the carbon emission factor of the fourth material according to the fourth sub-model, the activity data group of the fourth sub-model and the carbon emission factor group of the fourth sub-model, the activity data group of the fourth sub-model including the activity data of the fifth material, and the carbon emission factor group of the fourth sub-model including the second type of factors and the carbon emission factor of the fifth material; Calculating the carbon emission factor of the third material according to the third sub-model, the activity data group of the third sub-model and the carbon emission factor group of the third sub-model, wherein the activity data group of the third sub-model includes the activity data of the fourth material, and the carbon emission factor group of the third sub-model includes the second type of factors and the carbon emission factor of the fourth material; The activity data group of the second sub-model includes activity data of a third material, and the carbon emission factor group of the second sub-model includes a carbon emission factor of the third material.

3. The method for managing the carbon footprint of the photovoltaic industry chain according to claim 2, characterized in that: The first material is a photovoltaic module, the second material is a solar cell, the third material is a silicon wafer, the fourth material is a single crystal silicon rod, and the fifth material is polycrystalline silicon.

4. The method for managing the carbon footprint of the photovoltaic industry chain according to claim 3, characterized in that: The polysilicon is granular silicon.

5. The method for managing the carbon footprint of the photovoltaic industry chain according to claim 3, characterized in that: The activity data group of the fifth sub-model includes the activity data of industrial silicon, the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, and the carbon emission factor of industrial silicon is defined as the first type of factor. The carbon footprint model also includes a sixth sub-model, which calculates the carbon emission factor of industrial silicon based on the sixth sub-model, the activity data group of the sixth sub-model, and the carbon emission factor group of the sixth sub-model.

6. The method for managing the carbon footprint of the photovoltaic industry chain according to claim 3, characterized in that: The activity data group of the fifth sub-model includes activity data of industrial silicon, and the carbon emission factor group of the fifth sub-model includes the carbon emission factor of industrial silicon, and the carbon emission factor of industrial silicon is defined as the second type factor.

7. The method for managing the carbon footprint of the photovoltaic industry chain according to claim 5, characterized in that: In the carbon emission factor group of the fifth sub-model, except the carbon emission factor of industrial silicon, all other carbon emission factors are the second category factors; in the carbon emission factor group of the fourth sub-model, except the carbon emission factor of polysilicon, all other carbon emission factors are the second category factors; in the carbon emission factor group of the third sub-model, except the carbon emission factor of silicon rods, all other carbon emission factors are the second category factors; in the carbon emission factor group of the second sub-model, except the carbon emission factor of silicon wafers, all other carbon emission factors are the second category factors; in the carbon emission factor group of the first sub-model, except the carbon emission factor of batteries, all other carbon emission factors are the second category factors.

8. The method for managing the carbon footprint of the photovoltaic industry chain according to any one of claims 1 to 7, characterized in that: The following steps are involved: Acquire identity information of a first object, and acquire first operation permissions of the first object according to the identity information of the first object, wherein the first operation permissions include operation permissions for a carbon footprint model and operation permissions for a carbon emission factor; The identity information of the second object is obtained, and according to the identity information of the second object, a second operation permission of the second object is obtained, wherein the second operation permission includes permission to input activity data.

9. A computer-readable storage medium, characterized in that: A carbon footprint management program of the photovoltaic industry chain is stored thereon, and when the carbon footprint management program of the photovoltaic industry chain is executed by the processor, the carbon footprint management method of the photovoltaic industry chain as described in any one of claims 1-8 is implemented.

10. A carbon footprint management device for a photovoltaic industry chain, characterized in that: The device comprises: An acquisition module, used to acquire a carbon footprint model and a carbon emission factor, wherein the carbon footprint model includes a first sub-model and a second sub-model, and the carbon emission factor includes a first type of factor and a second type of factor, and the first type of factor and the second type of factor have different sources; a calculation module, configured to calculate a carbon emission factor of a second material according to the second sub-model, the activity data group of the second sub-model, and the carbon emission factor group of the second sub-model, wherein the carbon emission factor group of the second sub-model includes at least one second-category factor, and the carbon emission factor of the second material is the first-category factor; The calculation module is also used to calculate the carbon emissions of the first material based on the first sub-model, the activity data group of the first sub-model, and the carbon emission factor group of the first sub-model, wherein the activity data group of the first sub-model includes the activity data of the second material, and the carbon emission factor group of the first sub-model includes the two types of factors and the carbon emission factor of the second material.

11. A carbon footprint management platform for the photovoltaic industry chain, characterized in that: The carbon footprint management platform includes the carbon footprint management device for the photovoltaic industry chain as claimed in claim 10.

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