Carbon emission analysis method and device based on greenhouse gas emission list

Abstract

The invention provides a carbon emission analysis method and device based on a greenhouse gas emission list, and relates to the technical field of carbon budget and environmental protection. The method comprises the steps of obtaining a first carbon budget total value corresponding to a target object in a first time period; obtaining a plurality of carbon emission sources corresponding to the target object, and determining a first carbon budget distribution value corresponding to each carbon emission source in the first time period based on the first carbon budget total value; acquiring activity data and greenhouse gas emission factors corresponding to each carbon emission source, and calling a greenhouse gas accounting model to establish a greenhouse gas emission list corresponding to the target object in the first time period based on the activity data and the greenhouse gas emission factors; acquiring a conversion factor between each greenhouse gas and the carbon dioxide equivalent, and determining an actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission list; and analyzing the first carbon budget distribution value and the actual carbon emission value to obtain a high-risk carbon emission source to be subjected to carbon emission reduction.

Description

Technical Field

[0001] The present application relates to the fields of carbon budgeting and environmental protection technology, and in particular to a carbon emission analysis method and device based on a greenhouse gas emission inventory. Background Art

[0002] Greenhouse gas emissions inventories are a core tool for assessing the sources and scale of carbon emissions and are widely used in carbon management practices across countries, regions, industries, and enterprises. With the introduction of carbon peak and carbon neutrality targets, carbon budget management has become a crucial tool for achieving emission reduction goals. However, the current technical framework lacks a systematic approach that effectively integrates carbon budget targets with the greenhouse gas emissions inventory calculation process to achieve dynamic monitoring and optimized management of carbon emissions. Summary of the Invention

[0003] The present application aims to solve one of the technical problems in the related art at least to a certain extent.

[0004] To this end, one purpose of the present application is to propose a carbon emission analysis method based on a greenhouse gas emission inventory, including: obtaining a first carbon budget total value corresponding to the target object in the first time period; obtaining multiple carbon emission sources corresponding to the target object, and determining the first carbon budget allocation value corresponding to each carbon emission source in the first time period based on the first carbon budget total value; obtaining activity data and greenhouse gas emission factors corresponding to each carbon emission source, and calling a greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first time period based on the activity data and greenhouse gas emission factors; obtaining a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determining the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory; analyzing the first carbon budget allocation value and the actual carbon emission value corresponding to each carbon emission source to obtain high-risk carbon emission sources to be subjected to carbon emission reduction.

[0005] The second objective of this application is to propose a carbon emission analysis device based on a greenhouse gas emission inventory.

[0006] The third objective of this application is to provide an electronic device.

[0007] A fourth object of the present application is to provide a non-transitory computer-readable storage medium.

[0008] A fifth object of this application is to provide a computer program product.

[0009] To achieve the above-mentioned purpose, the first embodiment of the present application proposes a carbon emission analysis method based on a greenhouse gas emission inventory, including: obtaining a first carbon budget total value corresponding to the target object in the first time period; obtaining multiple carbon emission sources corresponding to the target object, and determining the first carbon budget allocation value corresponding to each carbon emission source in the first time period based on the first carbon budget total value; obtaining activity data and greenhouse gas emission factors corresponding to each carbon emission source, and calling a greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first time period based on the activity data and greenhouse gas emission factors; obtaining a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determining the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory; analyzing the first carbon budget allocation value and the actual carbon emission value corresponding to each carbon emission source to obtain high-risk carbon emission sources to be subjected to carbon emission reduction.

[0010] According to one embodiment of the present application, the first carbon budget allocation value and the actual carbon emission value corresponding to each carbon emission source are analyzed to obtain a high-risk carbon emission source for which carbon emission reduction is to be performed, including: for any carbon emission source, obtaining the ratio of the actual carbon emission value corresponding to the carbon emission source to the first carbon budget allocation value; in response to the ratio corresponding to the carbon emission source being greater than the first ratio threshold, determining the carbon emission source as a high-risk carbon emission source.

[0011] According to one embodiment of the present application, after obtaining the high-risk carbon emission source to be subjected to carbon emission reduction, it also includes: matching the emission reduction strategy corresponding to the high-risk carbon emission source from the emission reduction strategy library; generating a carbon emission analysis report corresponding to the target object based on the greenhouse gas emission inventory, the high-risk carbon emission source, and the emission reduction strategy.

[0012] According to one embodiment of the present application, the first carbon budget allocation value corresponding to each carbon emission source in the first time period is determined based on the first carbon budget total value, including: obtaining the first allocation ratio corresponding to each carbon emission source in the first time period; dividing the first carbon budget total value based on the first allocation ratio to obtain the first carbon budget allocation value corresponding to each carbon emission source in the first time period.

[0013] According to one embodiment of the present application, the carbon emission analysis method based on the greenhouse gas emission inventory also includes: in response to the ratio corresponding to the carbon emission source being less than the second ratio threshold, determining the carbon emission source as a low-risk carbon emission source, wherein the first ratio threshold is greater than the second ratio threshold; obtaining the second carbon budget total value corresponding to the target object in the second time period; adjusting the first allocation ratio of the high-risk carbon emission source to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period; adjusting the first allocation ratio of the low-risk carbon emission source to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period; using the first allocation ratio of the remaining carbon emission sources except the high-risk carbon emission sources and the low-risk carbon emission sources as their second allocation ratio corresponding to the second time period; obtaining the second carbon budget allocation value corresponding to each carbon emission source in the second time period based on the second allocation ratio and the second carbon budget total value.

[0014] According to one embodiment of the present application, the first allocation ratio of the high-risk carbon emission source is adjusted to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period, including: determining a first adjustment factor based on the ratio corresponding to the high-risk carbon emission source; obtaining the activity forecast data of the high-risk carbon emission source in the second time period, and determining the second adjustment factor based on the activity forecast data of the high-risk carbon emission source in the second time period; adjusting the first allocation ratio of the high-risk carbon emission source based on the first adjustment factor and the second adjustment factor to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period.

[0015] According to one embodiment of the present application, the first allocation ratio of the low-risk carbon emission source is adjusted to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period, including: determining a third adjustment factor based on the ratio corresponding to the low-risk carbon emission source; obtaining the activity forecast data of the low-risk carbon emission source in the second time period, and determining a fourth adjustment factor based on the activity forecast data of the low-risk carbon emission source in the second time period; adjusting the first allocation ratio of the low-risk carbon emission source based on the third adjustment factor and the fourth adjustment factor to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period.

[0016] According to one embodiment of the present application, the second carbon budget allocation value corresponding to each carbon emission source in the second time period is obtained based on the second allocation ratio and the second carbon budget total value, including: normalizing the second allocation ratio of each carbon emission source to obtain the second allocation ratio of each carbon emission source after normalization; dividing the second carbon budget total value based on the second allocation ratio of each carbon emission source after normalization to obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period.

[0017] To achieve the above-mentioned purpose, the second embodiment of the present application proposes a carbon emission analysis device based on a greenhouse gas emission inventory, including: a first acquisition module, used to obtain a first carbon budget total value corresponding to the target object in the first time period; a second acquisition module, used to obtain multiple carbon emission sources corresponding to the target object, and, based on the first carbon budget total value, determine the first carbon budget allocation value corresponding to each carbon emission source in the first time period; an inventory establishment module, used to obtain activity data and greenhouse gas emission factors corresponding to each carbon emission source, and call the greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first time period based on the activity data and greenhouse gas emission factors; an emission determination module, used to obtain the conversion factor between each greenhouse gas and carbon dioxide equivalent, and determine the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory; a risk analysis module, used to analyze the first carbon budget allocation value and actual carbon emission value corresponding to each carbon emission source to obtain high-risk carbon emission sources to be subjected to carbon emission reduction.

[0018] According to one embodiment of the present application, the risk analysis module is also used to: for any carbon emission source, obtain the ratio of the actual carbon emission value corresponding to the carbon emission source to the first carbon budget allocation value; in response to the ratio corresponding to the carbon emission source being greater than the first ratio threshold, determine the carbon emission source as a high-risk carbon emission source.

[0019] According to one embodiment of the present application, the risk analysis module is also used to: match emission reduction strategies corresponding to high-risk carbon emission sources from the emission reduction strategy library; and generate a carbon emission analysis report corresponding to the target object based on the greenhouse gas emission inventory, high-risk carbon emission sources, and emission reduction strategies.

[0020] According to one embodiment of the present application, the second acquisition module is also used to: obtain the first allocation ratio corresponding to each carbon emission source in the first time period; divide the total value of the first carbon budget based on the first allocation ratio to obtain the first carbon budget allocation value corresponding to each carbon emission source in the first time period.

[0021] According to one embodiment of the present application, the carbon emission analysis device based on the greenhouse gas emission inventory also includes a dynamic adjustment module, which is used to: in response to the ratio corresponding to the carbon emission source being less than the second ratio threshold, determine the carbon emission source as a low-risk carbon emission source, wherein the first ratio threshold is greater than the second ratio threshold; obtain the second carbon budget total value corresponding to the target object in the second time period; adjust the first allocation ratio of the high-risk carbon emission source to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period; adjust the first allocation ratio of the low-risk carbon emission source to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period; use the first allocation ratio of the remaining carbon emission sources except the high-risk carbon emission sources and the low-risk carbon emission sources as their second allocation ratio corresponding to the second time period; obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period based on the second allocation ratio and the second carbon budget total value.

[0022] According to one embodiment of the present application, the dynamic adjustment module is also used to: determine a first adjustment factor based on the ratio corresponding to the high-risk carbon emission source; obtain activity forecast data of the high-risk carbon emission source in the second time period, and determine a second adjustment factor based on the activity forecast data of the high-risk carbon emission source in the second time period; adjust the first allocation ratio of the high-risk carbon emission source based on the first adjustment factor and the second adjustment factor to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period.

[0023] According to one embodiment of the present application, the dynamic adjustment module is also used to: determine a third adjustment factor based on the ratio corresponding to the low-risk carbon emission source; obtain the activity forecast data of the low-risk carbon emission source in the second time period, and determine the fourth adjustment factor based on the activity forecast data of the low-risk carbon emission source in the second time period; adjust the first allocation ratio of the low-risk carbon emission source based on the third adjustment factor and the fourth adjustment factor to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period.

[0024] According to one embodiment of the present application, the dynamic adjustment module is also used to: normalize the second allocation ratio of each carbon emission source to obtain the second allocation ratio of each carbon emission source after normalization; divide the total value of the second carbon budget based on the second allocation ratio of each carbon emission source after normalization to obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period.

[0025] To achieve the above-mentioned purpose, the third aspect embodiment of the present application proposes an electronic device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to implement the carbon emission analysis method based on the greenhouse gas emission inventory as described in the first aspect embodiment of the present application.

[0026] To achieve the above-mentioned purpose, the fourth aspect embodiment of the present application proposes a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to implement the carbon emission analysis method based on the greenhouse gas emission inventory as described in the first aspect embodiment of the present application.

[0027] To achieve the above-mentioned purpose, the fifth embodiment of the present application proposes a computer program product, including a computer program, which, when executed by a processor, implements the carbon emission analysis method based on the greenhouse gas emission inventory as described in the first embodiment of the present application.

[0028] This application achieves at least the following beneficial effects: By comparing the actual emissions of each carbon emission source with the budget value, this application can identify which carbon emission sources have excessive or high-risk emissions. For high-risk carbon emission sources, targeted emission reduction measures can be formulated, such as optimizing production processes, adopting clean energy, improving energy efficiency, etc., thereby reducing overall carbon emissions, reducing the negative impact of greenhouse gases on climate change, and helping to promote environmental sustainability. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] The above and / or additional aspects and advantages of the present application will become apparent and easily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0030] Figure 1 This is an exemplary schematic diagram of a carbon emission analysis method based on a greenhouse gas emission inventory shown in an embodiment of the present application.

[0031] Figure 2 This is an exemplary schematic diagram of a carbon emission analysis method based on a greenhouse gas emission inventory shown in an embodiment of the present application.

[0032] Figure 3 This is an exemplary schematic diagram of a carbon emission analysis method based on a greenhouse gas emission inventory shown in an embodiment of the present application.

[0033] Figure 4 This is a schematic diagram of a carbon emission analysis device based on a greenhouse gas emission inventory shown in one embodiment of the present application.

[0034] Figure 5 This is a schematic diagram of an electronic device shown in one embodiment of the present application. DETAILED DESCRIPTION

[0035] The following describes in detail embodiments of the present application, 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 application, and should not be construed as limiting the present application.

[0036] Figure 1 This is an exemplary schematic diagram of a carbon emission analysis method based on a greenhouse gas emission inventory shown in this application. Figure 1 As shown, the carbon emission analysis method based on the greenhouse gas emission inventory includes the following steps:

[0037] S101: Obtain a first carbon budget total value corresponding to a target object in a first time period.

[0038] In this application, the target object refers to the subject for carbon emission analysis. For example, the target object may be a target area (such as a city or county area) or a target enterprise (such as an industrial enterprise or company).

[0039] In this application, the first carbon budget of a target object refers to the maximum amount of carbon dioxide equivalent that the target object can emit in the first period (for example, 2024). The first carbon budget is pre-set based on factors such as policies, environmental goals, and economic development.

[0040] For example, assuming that the target object is a prefecture-level region, the total value of the first carbon budget of the prefecture-level region in 2024 is 10 million tons of carbon dioxide equivalent, which means that in 2024, the carbon emissions of the region cannot exceed 10 million tons of carbon dioxide equivalent.

[0041] S102 : Acquire multiple carbon emission sources corresponding to the target object, and determine first carbon budget allocation values corresponding to each carbon emission source in a first time period based on the first carbon budget total value.

[0042] Carbon emission sources refer to specific activities or industries that generate greenhouse gas emissions. For example, the target's various carbon emission sources include energy activities, industrial production, agricultural activities, waste disposal, and other major areas.

[0043] It is not difficult to understand that each major area also includes multiple sub-activities. For example, energy activities may include sub-activities such as the use of coal, fuel oil, and natural gas; industrial production may include production sub-activities such as manufacturing, mining, and chemical industry; agricultural activities may include sub-activities such as animal husbandry and planting; waste disposal may include sub-activities such as landfill and sewage treatment.

[0044] In this application, after determining the total value of the first carbon budget corresponding to the target object in the first time period, the total value of the first carbon budget is divided based on multiple carbon emission sources to obtain the first carbon budget allocation value corresponding to each carbon emission source. For example, assuming that the target object is a prefecture-level region, the total value of the first carbon budget of the prefecture-level region in 2024 is 10 million tons of carbon dioxide equivalent, and the allocation ratios allocated to the four carbon emission sources of energy activities, industrial production, agricultural activities, and waste treatment are 40%, 30%, 20%, and 10%, respectively. Then, the first carbon budget allocation values corresponding to the four carbon emission sources of energy activities, industrial production, agricultural activities, and waste treatment are 4 million tons of carbon dioxide equivalent, 3 million tons of carbon dioxide equivalent, 2 million tons of carbon dioxide equivalent, and 1 million tons of carbon dioxide equivalent, respectively.

[0045] Among them, the allocation ratio of each carbon emission source is usually based on factors such as the historical emissions, development plans, and policy requirements of each carbon emission source.

[0046] S103, obtaining activity data and greenhouse gas emission factors corresponding to each carbon emission source, and calling a greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first period based on the activity data and greenhouse gas emission factors.

[0047] Among them, the emission factor refers to the greenhouse gas emissions generated by unit activity data (such as unit energy consumption, unit industrial output, etc.).

[0048] Among them, the greenhouse gas emission inventory is used to record the emissions of greenhouse gases (such as carbon dioxide, methane, nitrous oxide, etc.) emitted by each emission source, and can also record in detail the greenhouse gas emissions emitted by each sub-activity corresponding to each emission source.

[0049] For example, assuming that the carbon dioxide emission factor corresponding to a coal-burning sub-activity is 2.4 kg CO2 / kg coal, if a total of 100 tons of coal are burned, then the coal-burning sub-activity releases a total of 100,000×2.4=240,000 kg CO2.

[0050] For example, assuming that the methane emission factor corresponding to a coal-burning sub-activity is 0.002 kg CH4 / kg coal, and if a total of 100 tons of coal are burned, the coal-burning sub-activity releases a total of 100,000×0.002 kg=200 kg CH4.

[0051] By analogy, based on the activity data corresponding to each sub-activity and the corresponding greenhouse gas emission factors, the emissions of greenhouse gases such as carbon dioxide, methane, and nitrous oxide corresponding to each sub-activity can be calculated, and based on the emissions of each greenhouse gas corresponding to each sub-activity, a greenhouse gas emission sub-list corresponding to each carbon emission source can be established, and the greenhouse gas emission sub-lists corresponding to each carbon emission source can be combined to obtain the greenhouse gas emission list corresponding to the target object in the first period.

[0052] In this application, the greenhouse gas accounting model stores the greenhouse gas emission factors and greenhouse gas calculation formulas corresponding to each carbon emission source. After the activity data corresponding to each carbon emission source is input into the greenhouse gas accounting model, the greenhouse gas accounting model can be calculated based on the activity data and the greenhouse gas emission factors through the pre-stored corresponding formula to obtain the greenhouse gas emission sub-list corresponding to each carbon emission source, and the greenhouse gas emission sub-lists corresponding to each carbon emission source are combined to obtain the greenhouse gas emission list corresponding to the target object in the first period.

[0053] S104: Obtain a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determine the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory.

[0054] It is not difficult to understand that greenhouse gases are not limited to carbon dioxide. Common ones include methane and nitrous oxide. In this application, the concept of conversion factor is introduced. The conversion factor can be understood as the Global Warming Potential (GWP) conversion factor. It is an indicator used to measure the impact of a greenhouse gas on global warming relative to carbon dioxide over a certain period of time. Through this conversion factor, the emissions of different greenhouse gases can be converted into equivalent carbon dioxide equivalents.

[0055] For example, if the conversion factor between methane and carbon dioxide equivalent is 25, it can be understood that the impact of 1 kg of CH4 on global warming is equal to 25 kg of CO2.

[0056] Based on the conversion factors between each greenhouse gas and CO2 equivalent, the greenhouse gases other than CO2 in the greenhouse gas emissions inventory can be converted to CO2 equivalent. Then, for each carbon emission source, the CO2 equivalent corresponding to all greenhouse gases in the greenhouse gas emissions inventory is summed to obtain the actual carbon emissions value corresponding to the carbon emission source in the first period (actual carbon emissions value expressed in CO2 equivalent).

[0057] S105 , analyzing the first carbon budget allocation value and the actual carbon emission value corresponding to each carbon emission source to obtain a high-risk carbon emission source for which carbon emission reduction is to be performed.

[0058] In some embodiments, for each carbon emission source, the difference between the actual carbon emission value corresponding to the carbon emission source and the first carbon budget allocation value is obtained. If the difference is greater than a preset difference threshold, the carbon emission source is determined to be a high-risk carbon emission source for carbon emission reduction.

[0059] For example, assuming that the first carbon budget allocation value corresponding to the carbon emission source of energy activities is 4 million tons of carbon dioxide equivalent, and its corresponding actual carbon emission value is 4.5 million tons of carbon dioxide equivalent, and the preset difference threshold is 200,000 tons of carbon dioxide equivalent, then the difference between the actual carbon emission value corresponding to the carbon emission source and the first carbon budget allocation value is greater than the preset difference threshold, then the carbon emission source is determined to be a high-risk carbon emission source for carbon emission reduction.

[0060] An embodiment of the present application proposes a carbon emission analysis method based on a greenhouse gas emission inventory, including: obtaining a first carbon budget total value corresponding to a target object in a first time period; obtaining multiple carbon emission sources corresponding to the target object, and determining a first carbon budget allocation value corresponding to each carbon emission source in the first time period based on the first carbon budget total value; obtaining activity data and greenhouse gas emission factors corresponding to each carbon emission source, and calling a greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first time period based on the activity data and greenhouse gas emission factors; obtaining a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determining the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory; analyzing the first carbon budget allocation value and the actual carbon emission value corresponding to each carbon emission source to obtain high-risk carbon emission sources to be subjected to carbon emission reduction. By comparing the actual emissions of each carbon emission source with the budget value, this application can identify which carbon emission sources have excessive or high-risk emissions. For high-risk carbon emission sources, targeted emission reduction measures can be formulated, such as optimizing production processes, adopting clean energy, improving energy efficiency, etc., thereby reducing overall carbon emissions, reducing the negative impact of greenhouse gases on climate change, and helping to promote environmental sustainability.

[0061] Figure 2 This is an exemplary schematic diagram of a carbon emission analysis method based on a greenhouse gas emission inventory shown in this application. Figure 2 As shown, the carbon emission analysis method based on the greenhouse gas emission inventory includes the following steps:

[0062] S201: Obtain a first carbon budget total value corresponding to a target object in a first time period.

[0063] S202 : Acquire multiple carbon emission sources corresponding to the target object, and determine first carbon budget allocation values corresponding to each carbon emission source in the first time period based on the first carbon budget total value.

[0064] S203, obtaining activity data and greenhouse gas emission factors corresponding to each carbon emission source, and calling a greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first period based on the activity data and greenhouse gas emission factors.

[0065] S204: Obtain a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determine the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory.

[0066] Regarding the specific implementation of steps S201 to S204, reference may be made to the detailed introduction of the relevant parts in the above embodiment, which will not be elaborated here.

[0067] S205: For any carbon emission source, obtain the ratio of the actual carbon emission value corresponding to the carbon emission source to the first carbon budget allocation value.

[0068] S206 : In response to the ratio corresponding to the carbon emission source being greater than a first ratio threshold, determining the carbon emission source as a high-risk carbon emission source.

[0069] A first ratio threshold is preset. Since we want to identify high-risk carbon emission sources, generally, the first ratio threshold is greater than 100%. For example, the first ratio threshold can be set to 110%.

[0070] For example, assuming that the first carbon budget allocation value corresponding to the carbon emission source of energy activity is 4 million tons of carbon dioxide equivalent, and its corresponding actual carbon emission value is 5 million tons of carbon dioxide equivalent, then the ratio of its corresponding actual carbon emission value to the first carbon budget allocation value is 125%. Assuming that the first ratio threshold is set to 110%, 125%>110%, then the energy activity is determined to be a high-risk carbon emission source.

[0071] S207, matching emission reduction strategies corresponding to high-risk carbon emission sources from the emission reduction strategy library.

[0072] In this application, an emission reduction strategy library can be established in advance. After the high-risk carbon emission sources are determined as described above, the emission reduction strategies corresponding to the high-risk carbon emission sources can be matched from the emission reduction strategy library.

[0073] Furthermore, as mentioned above, high-risk carbon emission sources may generally include multiple sub-activities. In this application, after determining the high-risk carbon emission sources, the greenhouse gas emission data of each sub-activity corresponding to the high-risk carbon emission sources can be analyzed to determine the high-risk sub-activities, so that the emission reduction strategies corresponding to the high-risk sub-activities can also be matched from the emission reduction strategy library.

[0074] S208: Generate a carbon emission analysis report corresponding to the target object based on the greenhouse gas emission inventory, high-risk carbon emission sources, and emission reduction strategies.

[0075] The embodiments of the present application can promptly identify high-risk carbon emission sources whose carbon emissions exceed the budget value, provide corresponding emission reduction strategies for each high-risk carbon emission source, and adopt different emission reduction measures according to the characteristics of different emission sources to further improve emission reduction efficiency; generate a detailed carbon emission analysis report based on the greenhouse gas emission inventory, high-risk carbon emission sources, and emission reduction strategies, which helps the target object to fully understand the current status of carbon emissions.

[0076] Figure 3 This is an exemplary schematic diagram of a carbon emission analysis method based on a greenhouse gas emission inventory shown in this application. Figure 3 As shown, the carbon emission analysis method based on the greenhouse gas emission inventory includes the following steps:

[0077] S301: Obtain a first carbon budget total value corresponding to a target object in a first time period.

[0078] S302: Acquire multiple carbon emission sources corresponding to the target object.

[0079] Regarding the specific implementation of steps S301 to S302, reference may be made to the detailed introduction of the relevant parts in the above embodiment, which will not be elaborated here.

[0080] S303: Obtain a first allocation ratio corresponding to each carbon emission source in the first time period.

[0081] Among them, the first allocation ratio corresponding to each carbon emission source in the first time period is usually allocated based on factors such as the historical emissions, development plans, and policy requirements of each carbon emission source.

[0082] S304: Divide the first carbon budget total value based on the first allocation ratio to obtain first carbon budget allocation values corresponding to each carbon emission source in the first time period.

[0083] Assuming that the target object is a prefecture-level region, the total first carbon budget of the prefecture-level region in 2024 is 10 million tons of carbon dioxide equivalent, and the first allocation ratios allocated to the four carbon emission sources of energy activities, industrial production, agricultural activities, and waste treatment are 40%, 30%, 20%, and 10%, respectively. Then, the first carbon budget allocation values corresponding to the four carbon emission sources of energy activities, industrial production, agricultural activities, and waste treatment are 4 million tons of carbon dioxide equivalent, 3 million tons of carbon dioxide equivalent, 2 million tons of carbon dioxide equivalent, and 1 million tons of carbon dioxide equivalent, respectively.

[0084] S305: Obtain activity data and greenhouse gas emission factors corresponding to each carbon emission source, and call a greenhouse gas accounting model to establish a greenhouse gas emission inventory corresponding to the target object in the first period based on the activity data and greenhouse gas emission factors.

[0085] S306: Obtain a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determine the actual carbon emission value corresponding to each carbon emission source in the first time period based on the conversion factor and the greenhouse gas emission inventory.

[0086] S307: For any carbon emission source, obtain the ratio of the actual carbon emission value corresponding to the carbon emission source to the first carbon budget allocation value.

[0087] S308 : In response to the ratio corresponding to the carbon emission source being greater than a first ratio threshold, determining the carbon emission source as a high-risk carbon emission source.

[0088] Regarding the specific implementation of steps S305 to S308, please refer to the detailed introduction of the relevant parts in the above embodiment, which will not be repeated here.

[0089] S309 , in response to the ratio corresponding to the carbon emission source being less than a second ratio threshold, determining the carbon emission source as a low-risk carbon emission source, wherein the first ratio threshold is greater than the second ratio threshold.

[0090] In this application, a second ratio threshold value needs to be pre-set. Generally, the second ratio threshold value is less than 100%. For example, the second ratio threshold value can be set to 80%.

[0091] For example, assuming that the first carbon budget allocation value corresponding to the agricultural activity carbon emission source is 2 million tons of carbon dioxide equivalent, and its corresponding actual carbon emission value is 1.5 million tons of carbon dioxide equivalent, then the ratio of its corresponding actual carbon emission value to the first carbon budget allocation value is 75%. Assuming that the first ratio threshold is set to 80%, 75% < 80%, then agricultural activities are determined to be a low-risk carbon emission source.

[0092] S310: Obtain a second carbon budget total value corresponding to the target object in the second time period.

[0093] Among them, the second period refers to the period for allocating carbon budgets to each carbon emission source. Assuming that the first period is 2024, the second period is 2025. That is, the carbon budget allocation strategy for the second period needs to be determined based on the carbon emission analysis data of the first period.

[0094] Among them, the total value of the second carbon budget can be set based on policies, environmental goals, economic development and other factors.

[0095] S311: Adjust the first allocation ratio of the high-risk carbon emission source to obtain a second allocation ratio corresponding to the high-risk carbon emission source in the second time period.

[0096] Specifically, a first adjustment factor is determined based on the ratio corresponding to the high-risk carbon emission source; activity forecast data of the high-risk carbon emission source in the second time period is obtained, and a second adjustment factor is determined based on the activity forecast data of the high-risk carbon emission source in the second time period; the first allocation ratio of the high-risk carbon emission source is adjusted based on the first adjustment factor and the second adjustment factor to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period.

[0097] A mapping relationship table between the ratio and the first adjustment factor may be pre-constructed, and the first adjustment factor corresponding to the high-risk carbon emission source may be determined by querying the mapping relationship table.

[0098] The activity forecast data for high-risk carbon emission sources in the second period may be related to factors such as the high-risk carbon emission source's historical carbon emissions, development plans, and policy requirements. These factors should be fully considered when determining the activity forecast data for high-risk carbon emission sources in the second period, and then the second adjustment factor should be determined based on the activity forecast data. For example, if energy activities are high-risk carbon emission sources, and the use of clean energy in 2025 is expected to increase significantly and the use of fossil energy will decrease significantly, then the second adjustment factor will be less than 1, that is, a smaller proportion of the carbon budget will be allocated to energy activities.

[0099] In some embodiments, the product of the first adjustment factor, the second adjustment factor, and the first allocation ratio corresponding to a high-risk carbon emission source may be used as the second allocation ratio for the high-risk carbon emission source.

[0100] S312: Adjust the first allocation ratio of the low-risk carbon emission source to obtain a second allocation ratio corresponding to the low-risk carbon emission source in the second time period.

[0101] Specifically, a third adjustment factor is determined based on the ratio corresponding to the low-risk carbon emission source; the activity forecast data of the low-risk carbon emission source in the second time period is obtained, and a fourth adjustment factor is determined based on the activity forecast data of the low-risk carbon emission source in the second time period; the first allocation ratio of the low-risk carbon emission source is adjusted based on the third adjustment factor and the fourth adjustment factor to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period.

[0102] A mapping relationship table between the ratio and the third adjustment factor may be constructed in advance, and the third adjustment factor corresponding to the low-risk carbon emission source may be determined by querying the mapping relationship table.

[0103] The activity forecast data for low-risk carbon emission sources in the second period can be related to factors such as the low-risk carbon emission source's historical carbon emissions, development plans, and policy requirements. These factors should be fully considered when determining the activity forecast data for low-risk carbon emission sources in the second period, and the fourth adjustment factor should be determined based on the activity forecast data. For example, if agricultural activities are low-risk carbon emission sources, and the cultivated land area is expected to increase in 2025 to ensure crop production, the fourth adjustment factor will be greater than 1, meaning that a larger proportion of the carbon budget will be allocated to agricultural activities.

[0104] In some embodiments, the product of the third adjustment factor, the fourth adjustment factor, and the first allocation ratio corresponding to the low-risk carbon emission source may be used as the second allocation ratio of the low-risk carbon emission source.

[0105] S313: Using the first allocation ratio of the remaining carbon emission sources except the high-risk carbon emission sources and the low-risk carbon emission sources as their corresponding second allocation ratio in the second time period.

[0106] S314: Obtain a second carbon budget allocation value corresponding to each carbon emission source in the second time period based on the second allocation ratio and the second carbon budget total value.

[0107] After determining the second allocation ratio corresponding to each carbon emission source (high-risk carbon emission sources, low-risk carbon emission sources, and the remaining carbon emission sources other than high-risk carbon emission sources and low-risk carbon emission sources) in the second time period as described above, considering that after the above-mentioned ratio adjustment, the sum of the second allocation ratios of each carbon emission source is not necessarily equal to 100%, in this application, the second allocation ratio of each carbon emission source is normalized to obtain the second allocation ratio of each carbon emission source after normalization; the total value of the second carbon budget is divided based on the second allocation ratio of each carbon emission source after normalization to obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period.

[0108] The embodiment of the present application dynamically adjusts the allocation ratio of high-risk and low-risk carbon emission sources based on the carbon emissions of different carbon emission sources in the first period, providing a flexible carbon budget allocation strategy that can be reasonably adjusted according to changes in various factors to better implement carbon emission targets.

[0109] Figure 4 This is a schematic diagram of a carbon emission analysis device based on a greenhouse gas emission inventory shown in this application. Figure 4 As shown, the carbon emission analysis device 400 based on the greenhouse gas emission inventory includes a first acquisition module 401, a second acquisition module 402, an inventory establishment module 403, an emission determination module 404 and a risk analysis module 405, wherein:

[0110] The first acquisition module 401 is configured to acquire a first carbon budget total value corresponding to a target object in a first time period;

[0111] A second acquisition module 402 is configured to acquire multiple carbon emission sources corresponding to the target object, and determine a first carbon budget allocation value corresponding to each carbon emission source in the first time period based on the first carbon budget total value;

[0112] Inventory creation module 403 is used to obtain activity data and greenhouse gas emission factors corresponding to each carbon emission source, and call the greenhouse gas accounting model to create a greenhouse gas emissions inventory corresponding to the target object in the first period based on the activity data and greenhouse gas emission factors;

[0113] an emission determination module 404 for obtaining a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determining the actual carbon emissions corresponding to each carbon emission source in the first period based on the conversion factor and the greenhouse gas emission inventory;

[0114] The risk analysis module 405 is configured to analyze the first carbon budget allocation value and the actual carbon emission value corresponding to each carbon emission source to obtain a high-risk carbon emission source for which carbon emission reduction is to be performed.

[0115] By comparing the actual emissions of each carbon emission source with the budgeted value, this device can identify which carbon emission sources have exceeded the standard or high-risk emissions. For high-risk carbon emission sources, targeted emission reduction measures can be formulated, such as optimizing production processes, adopting clean energy, and improving energy efficiency, thereby reducing overall carbon emissions, reducing the negative impact of greenhouse gases on climate change, and helping to promote environmental sustainability.

[0116] Furthermore, the risk analysis module 405 is also used to: for any carbon emission source, obtain the ratio of the actual carbon emission value corresponding to the carbon emission source to the first carbon budget allocation value; in response to the ratio corresponding to the carbon emission source being greater than the first ratio threshold, determine the carbon emission source as a high-risk carbon emission source.

[0117] Furthermore, the risk analysis module 405 is also used to: match the emission reduction strategy corresponding to the high-risk carbon emission source from the emission reduction strategy library; and generate a carbon emission analysis report corresponding to the target object based on the greenhouse gas emission inventory, high-risk carbon emission source, and emission reduction strategy.

[0118] Furthermore, the second acquisition module 402 is also used to: obtain the first allocation ratio corresponding to each carbon emission source in the first time period; divide the first carbon budget total value based on the first allocation ratio to obtain the first carbon budget allocation value corresponding to each carbon emission source in the first time period.

[0119] Furthermore, the carbon emission analysis device 400 based on the greenhouse gas emission inventory also includes a dynamic adjustment module, which is used to: in response to the ratio corresponding to the carbon emission source being less than the second ratio threshold, determine the carbon emission source as a low-risk carbon emission source, wherein the first ratio threshold is greater than the second ratio threshold; obtain the second carbon budget total value corresponding to the target object in the second time period; adjust the first allocation ratio of the high-risk carbon emission source to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period; adjust the first allocation ratio of the low-risk carbon emission source to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period; use the first allocation ratio of the remaining carbon emission sources except the high-risk carbon emission sources and the low-risk carbon emission sources as their second allocation ratio corresponding to the second time period; obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period based on the second allocation ratio and the second carbon budget total value.

[0120] Furthermore, the dynamic adjustment module is also used to: determine a first adjustment factor based on the ratio corresponding to the high-risk carbon emission source; obtain the activity forecast data of the high-risk carbon emission source in the second time period, and determine the second adjustment factor based on the activity forecast data of the high-risk carbon emission source in the second time period; adjust the first allocation ratio of the high-risk carbon emission source based on the first adjustment factor and the second adjustment factor to obtain the second allocation ratio corresponding to the high-risk carbon emission source in the second time period.

[0121] Furthermore, the dynamic adjustment module is also used to: determine a third adjustment factor based on the ratio corresponding to the low-risk carbon emission source; obtain the activity forecast data of the low-risk carbon emission source in the second time period, and determine the fourth adjustment factor based on the activity forecast data of the low-risk carbon emission source in the second time period; adjust the first allocation ratio of the low-risk carbon emission source based on the third adjustment factor and the fourth adjustment factor to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period.

[0122] Furthermore, the dynamic adjustment module is also used to: normalize the second allocation ratio of each carbon emission source to obtain the second allocation ratio of each carbon emission source after normalization; divide the total value of the second carbon budget based on the second allocation ratio of each carbon emission source after normalization to obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period.

[0123] In order to implement the above embodiment, the present application also provides an electronic device 500, such as Figure 5 As shown, the electronic device 500 includes: a processor 501 and a memory 502 communicatively connected to the processor, the memory 502 stores instructions that can be executed by at least one processor, and the instructions are executed by at least one processor 501 to implement the carbon emission analysis method based on the greenhouse gas emission inventory as shown in the above embodiment.

[0124] In order to implement the above embodiments, the embodiments of the present application also propose a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to enable the computer to implement the carbon emission analysis method based on the greenhouse gas emission inventory as shown in the above embodiments.

[0125] In order to implement the above embodiments, the embodiments of the present application also propose a computer program product, including a computer program, which, when executed by a processor, implements the carbon emission analysis method based on the greenhouse gas emission inventory as shown in the above embodiments.

[0126] In the description of the present application, 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 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 application and simplifying the description, and do not indicate or imply 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 a limitation on the present application.

[0127] 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 one or more of the features. Throughout the description of this application, "plurality" means two or more, unless otherwise specifically defined.

[0128] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present application. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and features of different embodiments or examples without contradiction.

[0129] Although the embodiments of the present application have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations on the present application. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present application.

Claims

1. A carbon emission analysis method based on a greenhouse gas emission inventory, characterized in that: include: Obtain the first carbon budget total value corresponding to the target object in the first period; Acquire multiple carbon emission sources corresponding to the target object, and determine, based on the first carbon budget total value, a first carbon budget allocation value corresponding to each of the carbon emission sources in the first time period; Obtaining activity data and greenhouse gas emission factors corresponding to each of the carbon emission sources, and invoking a greenhouse gas accounting model to establish a greenhouse gas emissions inventory corresponding to the target object in the first period based on the activity data and the greenhouse gas emission factors; Obtaining a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determining the actual carbon emission value corresponding to each of the carbon emission sources in the first time period based on the conversion factor and the greenhouse gas emission inventory; The first carbon budget allocation value and the actual carbon emission value corresponding to each of the carbon emission sources are analyzed to obtain high-risk carbon emission sources for which carbon emission reduction is to be performed.

2. The method according to claim 1, characterized in that The analyzing the first carbon budget allocation value and the actual carbon emission value corresponding to each of the carbon emission sources to obtain the high-risk carbon emission sources for which carbon emission reduction is to be performed includes: For any of the carbon emission sources, obtaining a ratio of an actual carbon emission value corresponding to the carbon emission source to the first carbon budget allocation value; In response to the ratio corresponding to the carbon emission source being greater than a first ratio threshold, the carbon emission source is determined to be a high-risk carbon emission source.

3. The method according to claim 2, characterized in that After obtaining the high-risk carbon emission sources to be subjected to carbon emission reduction, the method further includes: Matching emission reduction strategies corresponding to the high-risk carbon emission sources from an emission reduction strategy library; A carbon emission analysis report corresponding to the target object is generated based on the greenhouse gas emission inventory, the high-risk carbon emission sources, and the emission reduction strategy.

4. The method according to claim 3, characterized in that The determining, based on the first carbon budget total value, the first carbon budget allocation value corresponding to each of the carbon emission sources in the first time period includes: Obtaining a first allocation ratio corresponding to each carbon emission source in the first time period; The first carbon budget total value is divided based on the first allocation ratio to obtain the first carbon budget allocation value corresponding to each of the carbon emission sources in the first time period.

5. The method according to claim 4, characterized in that The method further comprises: In response to the ratio corresponding to the carbon emission source being less than a second ratio threshold, determining the carbon emission source as a low-risk carbon emission source, wherein the first ratio threshold is greater than the second ratio threshold; Obtaining a second carbon budget total value corresponding to the target object in the second time period; Adjusting the first allocation ratio of the high-risk carbon emission source to obtain a second allocation ratio corresponding to the high-risk carbon emission source in the second time period; Adjusting the first allocation ratio of the low-risk carbon emission source to obtain a second allocation ratio corresponding to the low-risk carbon emission source in the second time period; using the first allocation ratio of the remaining carbon emission sources other than the high-risk carbon emission sources and the low-risk carbon emission sources as their second allocation ratio corresponding to the second time period; A second carbon budget allocation value corresponding to each carbon emission source in the second time period is obtained based on the second allocation ratio and the second carbon budget total value.

6. The method according to claim 5, characterized in that The adjusting the first allocation ratio of the high-risk carbon emission source to obtain a second allocation ratio corresponding to the high-risk carbon emission source in the second time period includes: Determining a first adjustment factor based on the ratio corresponding to the high-risk carbon emission source; Obtaining activity forecast data of the high-risk carbon emission source in the second time period, and determining a second adjustment factor based on the activity forecast data of the high-risk carbon emission source in the second time period; The first allocation ratio of the high-risk carbon emission source is adjusted based on the first adjustment factor and the second adjustment factor to obtain a second allocation ratio corresponding to the high-risk carbon emission source in the second time period.

7. The method according to claim 5, characterized in that The adjusting the first allocation ratio of the low-risk carbon emission source to obtain the second allocation ratio corresponding to the low-risk carbon emission source in the second time period includes: Determining a third adjustment factor based on the ratio corresponding to the low-risk carbon emission source; Obtaining activity forecast data of the low-risk carbon emission source in the second time period, and determining a fourth adjustment factor based on the activity forecast data of the low-risk carbon emission source in the second time period; The first allocation ratio of the low-risk carbon emission source is adjusted based on the third adjustment factor and the fourth adjustment factor to obtain a second allocation ratio corresponding to the low-risk carbon emission source in the second time period.

8. The method according to claim 6 or 7, characterized in that The obtaining, based on the second allocation ratio and the second carbon budget total value, of the second carbon budget allocation value for each carbon emission source in the second time period includes: Normalizing the second allocation ratio of each carbon emission source to obtain the second allocation ratio of each carbon emission source after normalization; The second carbon budget total value is divided based on the second allocation ratio of each carbon emission source after normalization to obtain the second carbon budget allocation value corresponding to each carbon emission source in the second time period.

9. A carbon emission analysis device based on a greenhouse gas emission inventory, characterized in that: include: A first acquisition module is used to obtain a first carbon budget total value corresponding to a target object in a first time period; A second acquisition module is configured to acquire multiple carbon emission sources corresponding to the target object, and determine a first carbon budget allocation value corresponding to each of the carbon emission sources in the first time period based on the first carbon budget total value; An inventory establishment module, configured to obtain activity data and greenhouse gas emission factors corresponding to each of the carbon emission sources, and to call a greenhouse gas accounting model to establish a greenhouse gas emissions inventory corresponding to the target object in the first period based on the activity data and the greenhouse gas emission factors; an emission determination module, configured to obtain a conversion factor between each greenhouse gas and carbon dioxide equivalent, and determine the actual carbon emission value corresponding to each of the carbon emission sources in the first time period based on the conversion factor and the greenhouse gas emission inventory; The risk analysis module is used to analyze the first carbon budget allocation value and the actual carbon emission value corresponding to each of the carbon emission sources to obtain high-risk carbon emission sources for which carbon emission reduction is to be performed.

10. An electronic device comprising: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 8.

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