A Recommended Method for Establishing a CO2 Emission Source Database

Abstract

This invention proposes a method for establishing a CO2 emission source database with recommended levels of recommendation. The method includes: acquiring emission data from emission facilities and screening out direct and centralized CO2 emission sources; predicting future CO2 emissions from the emission sources based on their process parameters and expected activity levels; calculating CO2 capture and storage costs based on the gas concentration, gas flow rate, and remaining facility lifespan of the emission sources; and determining the recommended level of recommendation for the CO2 emission sources to participate in carbon capture, utilization, and storage (CCUS) by combining carbon sequestration potential requirements and the CO2 capture and storage costs. This invention can screen out centralized emission sources suitable for CCUS implementation, and by predicting emissions and combining capture and storage cost assessments, provides carbon source data with recommended levels of recommendation, improving the accuracy and economy of CCUS source-sink matching.

Description

Technical Field

[0001] This invention relates to the field of carbon emission data processing technology, and in particular to a method for establishing a CO2 emission source database with a recommendation level. Background Technology

[0002] CO2 emissions databases, as an important tool for assessing environmental impact, are applied to global climate action. A plant-level emissions accounting system has been constructed through the synergy of material balance methods, activity data statistics, and emissions factor accounting. Specifically, the system covers the entire process from energy consumption to production and operation, including direct emissions, and aims to calculate total energy emissions.

[0003] However, existing emission source statistics methods directly use total plant emissions accounting without distinguishing the specific characteristics and concentration differences of centralized emission sources at the facility level. This may lead to a mixture of high and low concentration emissions, or an inability to assess sustainability based on remaining lifetime and capture costs, thus affecting the economic feasibility and source-sink matching efficiency of CCUS technology. While traditional accounting methods have some effectiveness, they lack the ability to classify carbon capture recommendation levels, making it difficult to support future CCUS activity planning. Summary of the Invention

[0004] The main objective of this invention is to provide a method for establishing a CO2 emission source database with a recommendation level.

[0005] Another object of the present invention is to provide an apparatus for establishing a CO2 emission source database with a recommendation level.

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

[0007] A fourth objective of this invention is to provide a non-transitory computer-readable storage medium.

[0008] To achieve the above objectives, a first aspect of the present invention proposes a method for establishing a CO2 emission source database with a recommendation level, comprising:

[0009] S1, Obtain emission data from emission facilities and filter out carbon dioxide emission sources that emit directly and centrally; S2, Based on the process parameters and expected activity levels of the carbon dioxide emission source, predict the future carbon dioxide emissions of the carbon dioxide emission source; S3. Calculate the carbon dioxide capture cost based on the gas concentration, gas flow rate, and remaining service life of the carbon dioxide emission point source. S4. Based on the carbon sequestration potential demand and the carbon dioxide capture cost, determine the recommended level of participation of the carbon dioxide emission point source in carbon capture, utilization and storage.

[0010] Optionally, acquiring emission data from emission facilities and filtering out direct and centralized carbon dioxide emission sources includes: The carbon emission data of the emission facilities is obtained through a standardized data interface, and the carbon emission data is divided into direct emission data and indirect emission data to obtain a basic dataset containing only direct emission data. The emission forms of the direct emission data in the basic dataset are identified, and the fugitive emission data is removed from the basic dataset, while the centralized emission data is retained. The emission facilities corresponding to the centralized emission data are identified as carbon dioxide emission point sources, and the identification information of the carbon dioxide emission point sources is output for subsequent emission prediction.

[0011] Optionally, predicting the future carbon dioxide emissions from the carbon dioxide emission source based on its process parameters and expected activity levels includes: Identify the industry type to which the carbon dioxide emission point source belongs, including fossil fuel combustion power generation, steel manufacturing, cement manufacturing, or aluminum smelting industries; Select the corresponding emission intensity model based on the industry type, and obtain the capacity data and capacity utilization rate of the carbon dioxide emission point source. The emissions from the carbon dioxide emission point sources are calculated based on the emission intensity model corresponding to the industry type and the expected activity level, thus obtaining the future carbon dioxide emissions.

[0012] Optionally, calculating the emissions from the carbon dioxide emission point source based on the emission intensity model corresponding to the industry type and the expected activity level includes: When the industry type is fossil fuel combustion power generation, obtain the installed capacity, number, utilization hours, carbon dioxide emission coefficient and heat-to-power ratio of the units; The maximum emissions are calculated based on 8,000 hours per year, and the most accessible emissions are calculated based on actual utilization hours. The maximum emissions and the most accessible emissions are then used as the future carbon dioxide emissions.

[0013] Optionally, calculating the emissions from the carbon dioxide emission point source based on the emission intensity model corresponding to the industry type and the expected activity level includes: When the industry type is steel manufacturing or cement manufacturing, obtain the emission point source type and standard product capacity data corresponding to the production process; Based on the emission intensity of the emission point source types obtained from the survey, and combined with the standard product capacity data and capacity utilization rate, the emission amount is calculated. The calculated emissions are determined as the future carbon dioxide emissions from the carbon dioxide emission point source, with only emissions from self-owned power plants included in the aluminum smelting industry.

[0014] Optionally, calculating the carbon dioxide capture cost based on the gas concentration, gas flow rate, and remaining service life of the carbon dioxide emission point source includes: The amine absorption method was adopted as the designated collection method, and the total investment cost was calculated based on the collection equipment investment calculation model, which is as follows:

[0015] in, The concentration of carbon dioxide in the captured gas. The flow rate of the captured gas; Capital expenditures are calculated using the U.S. Department of Energy's (DOE / NETL) methodology, and the total one-time investment is amortized over the remaining life of the project using annualized capital expenditures. By combining annualized capital expenditure and operating costs, the carbon dioxide capture cost for each emission point source of each emitting enterprise is obtained.

[0016] Optionally, determining the recommended level of participation of the carbon dioxide emission point source in carbon capture, utilization, and storage, by combining the carbon sequestration potential demand and the carbon dioxide capture cost, includes: The carbon emission sources to be included in the database are classified into recommendation levels based on the demand for carbon capture, utilization and storage and the affordability of capture costs. Based on the carbon dioxide sequestration potential of oil and gas reservoirs, a Level I recommendation level is defined with a total annual emission of 640 million tons as the threshold, and the recommendation level for subsequent emission point sources with a total annual emission of 1.62 billion tons is defined as Level II. Based on the cost range of capture, Level III, Level IV, and Level V recommendations are defined, and emission point sources exceeding the preset cost threshold are listed as not recommended.

[0017] Optionally, the step of classifying the recommendation levels into Level III, Level IV, and Level V based on the capture cost range, and listing emission point sources exceeding a preset cost threshold as not recommended, includes: Emission point sources with capture costs in the range of 310 to 350 yuan are classified as Level III recommended, and emission point sources with capture costs in the range of 350 to 410 yuan are classified as Level IV recommended. Emission point sources with capture costs between 410 and 500 yuan are classified as Level V recommended, while emission point sources with capture costs above 500 yuan are classified as not recommended. Output a database of carbon dioxide emission sources with recommendation levels to provide carbon source information for the implementation of carbon capture, utilization and storage.

[0018] To achieve the above objectives, a second aspect of the present invention provides an apparatus for establishing a CO2 emission source database with a recommendation level, comprising: The first module is used to acquire emission data from emission facilities and filter out carbon dioxide emission points that emit directly and in a concentrated manner. The second module is used to predict the future carbon dioxide emissions of the carbon dioxide emission point source based on the process parameters and expected activity levels of the carbon dioxide emission point source. The third module is used to calculate the carbon dioxide capture cost based on the gas concentration, gas flow rate and remaining service life of the carbon dioxide emission point source. The fourth module is used to determine the recommended level of participation of the carbon dioxide emission point sources in carbon capture, utilization and storage by combining the carbon sequestration potential demand and the carbon dioxide capture cost.

[0019] To achieve the above objectives, a third aspect of this application provides an electronic device, including a processor and a memory; wherein the processor runs a program corresponding to the executable program code stored in the memory to implement the method described in the first aspect.

[0020] To achieve the above objectives, a fourth aspect of this application provides a non-transitory computer-readable storage medium having a computer program stored thereon that, when executed by a processor, implements the method described in the first aspect.

[0021] The embodiments of the present invention have the following beneficial effects: they can screen out facility-level centralized emission point sources suitable for CCUS implementation, and generate recommendation levels by evaluating capture costs, which solves the problem that existing databases lack carbon source economic assessment and source-sink matching information, and improves the feasibility and implementation efficiency of carbon capture projects. Attached Figure Description

[0022] The above-described and additional aspects and advantages of the present invention will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, in which: Figure 1 A flowchart illustrating a method for establishing a CO2 emission source database with a recommendation level, provided for embodiments of the present invention; Figure 2 A schematic diagram illustrating the principle of a method for establishing a CO2 emission source database with a recommendation level, provided in an embodiment of the present invention; Figure 3 This is a structural diagram of an apparatus for establishing a CO2 emission source database with a recommendation level, provided in an embodiment of the present invention. Detailed Implementation

[0023] It should be noted that, unless otherwise specified, the embodiments and features described in the present invention can be combined with each other. The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0024] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0025] The following description, with reference to the accompanying drawings, describes an embodiment of the present invention for establishing and assembling a CO2 emission source database with a recommendation level.

[0026] Example 1 This embodiment provides a method for establishing a CO2 emission source database with a recommendation level. For example... Figure 1 and Figure 2 As shown, the method includes the following steps: S1, acquire emission data from emission facilities and screen out carbon dioxide emission points that emit directly and centrally.

[0027] Current CO2 emission databases calculate energy-related CO2 emissions globally and nationally, and can be used to assess the environmental impact of CO2 emissions. For example, the International Energy Agency (IEA)'s Greenhouse Gas Emissions from Energy database provides global and national energy-related CO2 emission data, covering different fuel types and industries; the World Resources Institute (WRI)'s Climate Watch database provides global and national greenhouse gas emission data, including CO2 emissions. These databases cover the total CO2 emissions from energy or production enterprises throughout their entire production and operation activities, including both direct and indirect emissions. Direct emissions include both centralized and fugitive emissions, and centralized emissions include both high-concentration and low-concentration emissions. For CCUS (CO2 capture, utilization, and storage), CO2 capture requires technological and energy support, both of which determine the sustainability of CO2 capture. Therefore, facility-level emission points with centralized emissions and sufficiently high emission concentrations are the preferred candidates for inclusion in CCUS carbon source databases to ensure that CO2 capture costs are affordable under current technology. Therefore, compared to other carbon source databases, this database has three characteristics: 1) The included emission sources are point sources that are concentrated in the process flow of the emitting enterprises. 2) These point sources were statistically analyzed based on CO2 concentration. 3) Calculate the capture cost based on the emission scale of the emission point source, the remaining service life of the process equipment, and the CO2 concentration, and provide a recommended level of participation in CCUS.

[0028] In this embodiment of the invention, based on CCUS requirements for emission source data, the identification and calculation of emission data are divided into three steps: 1) Basic Data – Direct Emissions. CCUS focuses on CO2 capture and storage at facility-level emission sources with centralized emissions to reduce CO2 emissions on a large scale. Only direct emissions are eligible for capture; therefore, the first step in data analysis is to identify the direct emissions of emission sources. This is the biggest difference between this carbon source database and most current databases that calculate plant-wide emissions: the basic data in this database is the direct emissions of the facility, excluding indirect emissions.

[0029] 2) Resource cap—the amount of emissions that can be captured. This requires that the emission source be a concentrated emission, rather than an uncontrolled emission, because only concentrated emissions can be captured.

[0030] 3) Sustainability—based on affordable capture volumes. With concentrated, implementable emissions, capture costs increase as emission concentrations decrease and emission scales shrink. Low emission concentrations and small-scale emissions are practically unsustainable and not highly feasible in the near term.

[0031] S2, based on the process parameters and expected activity levels of the carbon dioxide emission source, predict the future carbon dioxide emissions of the carbon dioxide emission source.

[0032] In this embodiment of the invention, the industry type of the carbon dioxide emission source is first identified, including fossil fuel combustion power generation, steel manufacturing, cement manufacturing, or aluminum smelting. Then, an emission intensity model is selected based on the industry type, and the production capacity data and capacity utilization rate of the carbon dioxide emission source are obtained. Finally, the emissions of the carbon dioxide emission source are calculated based on the emission intensity model corresponding to the industry type and the expected activity level to obtain the future carbon dioxide emissions.

[0033] Specifically, my country generally uses the material balance method to calculate emissions. This method does not consider specific reaction processes within the production system, but calculates emissions at the enterprise or process level based on all input and output carbon data. This emission calculation is crucial for policy-making, corporate carbon management, global climate action, public awareness building, resource allocation optimization, and risk management. This method requires measuring enterprise activity data, yielding past emissions from energy facilities. CO2 emissions from power plants and industrial processes are closely related to current economic activity. For example, the unit emissions of a combined heat and power (CHP) plant are affected by fuel parameters, climate conditions, and operating time. If economic activity is high that year, the plant's output and operating time will increase, and vice versa. In other words, CO2 emissions from industrial processes are based on enterprise activity data, so only past emissions have accurate values.

[0034] CCUS carbon source data supports CCUS activities at a future timeframe, and to this end, we have established a prediction-based emission calculation system. Given the availability of carbon emission data from Chinese enterprises, this embodiment of the invention uses carbon emission sources from thermal power generation, combined heat and power (CHP), steel production, cement manufacturing, and aluminum smelting industries as the main components of the database. A detailed analysis of the processes, carbon emission locations, and emission parameters of these industries was conducted, and the emission characteristics of different emission sources were studied, leading to the determination of prediction-based emission calculation formulas.

[0035] In this embodiment of the invention, when the industry type is fossil fuel combustion power generation, the installed capacity, number, utilization hours, carbon dioxide emission coefficient and heat-to-power ratio of the unit are obtained; the maximum emission is calculated based on the maximum emission calculation formula; finally, the most accessible emission is calculated based on the most accessible emission calculation formula, and the maximum emission and the most accessible emission are used as the future carbon dioxide emission.

[0036] In another embodiment of the present invention, when the industry type is steel manufacturing or cement manufacturing, the emission source type and standard product capacity data corresponding to the production process are obtained; based on the emission intensity of the emission source type obtained from the survey, the emission amount is calculated in combination with the standard product capacity data and capacity utilization rate; the calculated emission amount is determined as the future carbon dioxide emission amount of the carbon dioxide emission source, wherein only the emissions from self-owned power plants are included in the aluminum smelting industry.

[0037] Specifically: 1. Power generation by burning fossil fuels.

[0038] Fossil fuel combustion power generation is currently one of the main methods of electricity production globally. Domestically and internationally, CO2 emissions from thermal power plants are generally divided into direct emissions and indirect emissions. Direct emissions mainly consist of CO2 generated from fuel combustion in boilers and CO2 generated from desulfurization processes. Indirect emissions mainly consist of CO2 indirectly generated during fuel transportation and CO2 indirectly generated from purchased electricity or steam. As the analysis above shows, only direct emissions are the emissions of interest in this database. The amount of CO2 generated from desulfurization is relatively small; therefore, the emissions recorded for fossil fuel power generation companies are CO2 generated from fuel combustion.

[0039] For coal-fired power units, this embodiment of the invention uses the historical emission intensity method to calculate carbon emissions, as detailed below: The emission intensity of coal-fired power units is closely related to their capacity, steam parameters, and cooling method. Based on these three parameters, coal-fired power units are classified into 15 categories: 1000MW ultra-supercritical wet-cooled, 1000MW ultra-supercritical air-cooled, 600MW ultra-supercritical wet-cooled, 600MW ultra-supercritical air-cooled, 600MW supercritical wet-cooled, 600MW supercritical air-cooled, 600MW subcritical wet-cooled, 600MW subcritical air-cooled, 350MW supercritical wet-cooled, 350MW supercritical air-cooled, 350MW subcritical, 300MW subcritical wet-cooled, 300MW subcritical air-cooled, 200MW, and 100MW. Through a survey of the energy efficiency levels of over 1000 units, the standard coal consumption and average utilization hours of units with different parameters were obtained, and their emission intensity was then calculated.

[0040] For thermal power plants included in the project, this embodiment of the invention provides two emission figures based on their potential activity levels: a maximum emission figure calculated based on 8,000 hours per year, and an average utilization hour figure for that type, referred to as the most accessible emission figure. It is understood that the maximum emission figure, calculated based on 8,000 utilization hours, represents the maximum possible emission from the emission source at an increased level of economic activity. The most accessible emission figure, calculated based on actual utilization hours, represents the emission figure at the current potential level of economic activity.

[0041] 2. Steel manufacturing.

[0042] The steel industry is one of the world's largest sources of industrial CO2 emissions, with emissions primarily stemming from process emissions and the combustion of fossil fuels. (1) Process emissions: The chemical reaction in which iron ore (mainly Fe2O3) is reduced to iron (Fe) by carbon (C) itself produces a large amount of CO2. This is a unique emission in steel production that is difficult to avoid through electrification.

[0043] (2) Energy emissions: Coking, sintering, blast furnace, steel rolling and other processes require huge amounts of heat energy, which currently mainly comes from the combustion of fossil fuels such as coal and natural gas.

[0044] After analysis, steel production may have eight emission sources: power plants, coke ovens, blast furnaces, sintering plants, lime kilns, converters, hot rolling mills, and rolling mills. Based on CO2 concentration, power plant units and converters, blast furnaces and coke ovens, and sintering plants, lime kilns, converters, hot rolling mills, and rolling mills can be grouped together according to the same concentration. In actual production, not all steel manufacturing units possess the processes corresponding to the aforementioned emission sources. For enterprises included in the emission database, their production processes need to be investigated to determine their production processes and thus their emission sources. The CO2 emissions of steel production enterprises are calculated using a method based on standard product emissions. This embodiment of the invention obtains the emission intensity of the eight emission sources corresponding to the steel production process. For enterprises included in the emission database, the emissions of the corresponding emission sources are calculated using the following formula: Emissions = Production Capacity Capacity utilization rate .

[0045] 3. Cement production.

[0046] According to a report by the International Energy Agency, approximately 60% of CO2 emissions from cement plants come from the clinker production process, with the remainder originating from fuel combustion. Limestone calcination: This is the largest source of carbon emissions in the cement production process; Coal combustion: Coal is mainly used for heating during the clinker calcination process; Electricity consumption: CO2 emissions from electricity consumption account for 5% of total emissions.

[0047] If the electricity comes from a self-owned power plant, it is considered a direct emission and is included in the emissions from that emission source; if it comes from outside the enterprise, it is considered an indirect emission and is not included in the emissions from that emission source.

[0048] CO2 emissions from cement production enterprises are calculated using a standard product-based emission calculation method. Our survey yielded the emission intensity of two emission sources corresponding to the cement production process. For enterprises with emissions recorded, the corresponding emission sources are calculated using the following formula: Emissions = Production Capacity Capacity utilization rate .

[0049] 4. Aluminum smelting.

[0050] The production of electrolytic aluminum commonly employs the cryolite-alumina molten electrolysis method (also known as the Hall-Eruth molten salt electrolysis method). During this process, greenhouse gas emissions primarily include: 1) Direct CO2 emissions from anode consumption; 2) CO2 emissions from electricity consumption in the aluminum electrolysis process; 3) Greenhouse gas emissions of carbon tetrafluoride (CF4) and carbon hexafluoride (C2F6) generated during electrolysis due to the anode effect.

[0051] To address the needs of the CCUS supply chain, this embodiment of the invention only considers CO2 emissions, i.e., only the first two types of emissions. Process analysis revealed that the vast majority of carbon emissions in the electrolytic aluminum industry originate from electricity consumption. If the electricity is sourced externally, it is considered indirect emission and is not included in the emission source count. If the electricity comes from a self-owned power plant, the CO2 emissions from that power plant are included in the database, and the CO2 emission characteristic parameters and emission calculation methods are the same as those for fossil fuel combustion power generation. Emissions from anode consumption are not included in the database because they are mixed with a large amount of air, resulting in lower CO2 concentrations and high capture costs.

[0052] The establishment of the emission prediction system makes emission data no longer limited by the availability of historical data, but can be predicted based on the expected activity level of emission point sources; it can be matched and adjusted according to the expected activity level, which is suitable for the application characteristics of CCUS source-sink matching; through data collection templates, characteristic parameters of emission point sources can be added and modified at any time to achieve digital management of carbon assets.

[0053] S3. Calculate the carbon dioxide capture cost based on the gas concentration, gas flow rate, and remaining service life of the carbon dioxide emission point source.

[0054] It should be noted that amine absorption technology is the most mature technology and can achieve a capture rate of 90%. Considering the gas composition and concentration at the emission source, the amine method should also be a suitable capture method. Therefore, this embodiment of the invention uses amine absorption as the designated capture method for all emission sources to calculate capture costs. Accurate estimation of CO2 capture costs requires quotations from suppliers and engineering companies for equipment and its installation. However, this requires significant resources and effort from both cost estimators and equipment suppliers. For example, cost estimators may need to communicate with multiple suppliers, while suppliers need to perform additional engineering work to provide cost information. Although contractors for specific equipment can provide accurate cost estimates, this approach is difficult for non-commercial processes.

[0055] Calculating carbon capture costs requires careful consideration of many factors (such as CO2 concentration, feed gas flow rate, economic assumptions, estimation methods, etc.), which can be a time-consuming task. To significantly reduce the complexity of equipment cost studies, several published cost-related formulas directly link capture costs to certain process input parameters. This invention employs a capture equipment investment calculation model, as shown in the following formula:

[0056] in, The concentration of carbon dioxide in the captured gas. The flow rate of the captured gas.

[0057] Furthermore, in this embodiment of the invention, capital expenditure (CapEx) is calculated according to the method of the U.S. Department of Energy (DOE / NETL). Considering that existing emission sources have already reached a certain operating lifespan, the total one-time investment is amortized into annual capital expenditures over the remaining lifespan of the project.

[0058] Compared to general investment cost calculations, this embodiment of the invention simultaneously considers the concentration of the captured gas, the gas flow rate, and the remaining service life of the emission facilities. Furthermore, this embodiment of the invention also calculates operating costs. Combined with annualized capital, the capture cost for each emission point source of each emitting enterprise is obtained.

[0059] S4. Based on the carbon sequestration potential demand and the carbon dioxide capture cost, determine the recommended level of participation of the carbon dioxide emission point source in carbon capture, utilization and storage.

[0060] It should be noted that, based on the capture cost of each emission point source for each emitting enterprise, this application embodiment also classifies the carbon emission sources to be included in the database into a recommendation level based on CCUS requirements and the affordability of capture costs: (1) CO2 enhanced oil recovery (CCUS-EOR) technology is a key means to achieve both emission reduction and increased production. Currently, CO2 enhanced oil recovery, with its maturity and economic viability, has become an important tool and main application for achieving carbon utilization and storage. Therefore, this study classifies the recommendation level based on the CO2 storage potential of oil and gas reservoirs, as follows: The geological storage potential of CO2 in nearly 30 oil and gas basins on land is 19.179 billion tons, which translates to an average annual storage of 640 million tons over 30 years.

[0061] The known geological storage potential of CO2 in oil and gas reservoirs in oil and gas-bearing basins is 48.52716 billion tons, which translates to an average annual storage of 1.62 billion tons over 30 years.

[0062] Based on the capture cost, this application embodiment sorts the emission point sources into the database. With a total annual emission of 640 million tons as the limit, the batch of emission point sources is classified as Level I recommended. The recommendation level is then rotated in turn. The emission point sources with a total annual emission of 1.62 billion tons are set as Level II recommended. The capture cost limit corresponding to Level I and Level II is 310 yuan.

[0063] (2) For Levels III, IV and V, considering sustainability, the cost of capture is 310-350 yuan, which is classified as Level III, 350-410 yuan as Level IV, 410-500 yuan as Level V, and more than 500 yuan is not recommended.

[0064] In summary, the database established using this method provides both the CO2 emissions eligible for CCUS participation and recommendations based on cost, demand, and sustainability, thus offering more accurate and reasonable carbon source information for CCUS implementation.

[0065] This invention also provides an apparatus for establishing a CO2 emission source database with a recommendation level, such as... Figure 3 As shown, the device includes: The first module 100 is used to acquire emission data from emission facilities and filter out carbon dioxide emission points that emit directly and centrally. The second module 200 is used to predict the future carbon dioxide emissions of the carbon dioxide emission point source based on the process parameters and expected activity levels of the carbon dioxide emission point source. The third module 300 is used to calculate the carbon dioxide capture cost based on the gas concentration, gas flow rate and remaining service life of the carbon dioxide emission point source. The fourth module 400 is used to determine the recommended level of participation of the carbon dioxide emission point source in carbon capture, utilization and storage by combining the carbon sequestration potential demand and the carbon dioxide capture cost.

[0066] Regarding the apparatus in the above embodiments, the specific manner in which each module performs its operation has been described in detail in the embodiments related to the method, and will not be elaborated upon here.

[0067] To implement the methods of the above embodiments, the present invention also provides an electronic device, which includes a memory and a processor; wherein the processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the various steps of the methods described above.

[0068] To implement the above embodiments, this application also proposes a non-transitory computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the method described in the foregoing embodiments.

[0069] The above description is merely a preferred embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

[0070] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., refer to specific features, structures, materials, or characteristics described in connection with that embodiment or example, which are included in at least one embodiment or example of the present invention. In this specification, the illustrative expressions 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 one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0071] 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 technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this invention, "a plurality of" means at least two, such as two, three, etc., unless otherwise explicitly specified.

Claims

1. A method for establishing a CO2 emission source database with a recommendation level, characterized in that, Includes the following steps: S1, Obtain emission data from emission facilities and filter out carbon dioxide emission sources that emit directly and centrally; S2, Based on the process parameters and expected activity levels of the carbon dioxide emission source, predict the future carbon dioxide emissions of the carbon dioxide emission source; S3. Calculate the carbon dioxide capture cost based on the gas concentration, gas flow rate, and remaining service life of the carbon dioxide emission point source. S4. Based on the carbon sequestration potential demand and the carbon dioxide capture cost, determine the recommended level of participation of the carbon dioxide emission point source in carbon capture, utilization and storage.

2. The method as described in claim 1, characterized in that, The acquisition of emission data from emission facilities, and the screening of direct and centralized carbon dioxide emission sources, includes: The carbon emission data of the emission facilities is obtained through a standardized data interface, and the carbon emission data is divided into direct emission data and indirect emission data to obtain a basic dataset containing only direct emission data. The emission forms of the direct emission data in the basic dataset are identified, and the fugitive emission data is removed from the basic dataset, while the centralized emission data is retained. The emission facilities corresponding to the centralized emission data are identified as carbon dioxide emission point sources, and the identification information of the carbon dioxide emission point sources is output for subsequent emission prediction.

3. The method as described in claim 1, characterized in that, The prediction of future carbon dioxide emissions from the carbon dioxide emission source based on its process parameters and expected activity levels includes: Identify the industry type to which the carbon dioxide emission point source belongs, including fossil fuel combustion power generation, steel manufacturing, cement manufacturing, or aluminum smelting industries; Select the corresponding emission intensity model based on the industry type, and obtain the capacity data and capacity utilization rate of the carbon dioxide emission point source; The emissions from the carbon dioxide emission point sources are calculated based on the emission intensity model corresponding to the industry type and the expected activity level, thus obtaining the future carbon dioxide emissions.

4. The method as described in claim 3, characterized in that, The calculation of the carbon dioxide emission point source emissions based on the emission intensity model corresponding to the industry type and the expected activity level includes: When the industry type is fossil fuel combustion power generation, obtain the installed capacity, number, utilization hours, carbon dioxide emission coefficient and heat-to-power ratio of the units; The maximum emissions are calculated based on 8,000 hours per year, and the most accessible emissions are calculated based on actual utilization hours. The maximum emissions and the most accessible emissions are then used as the future carbon dioxide emissions.

5. The method as described in claim 3, characterized in that, The calculation of the carbon dioxide emission point source emissions based on the emission intensity model corresponding to the industry type and the expected activity level includes: When the industry type is steel manufacturing or cement manufacturing, obtain the emission point source type and standard product capacity data corresponding to the production process; Based on the emission intensity of the emission point source types obtained from the survey, and combined with the standard product capacity data and capacity utilization rate, the emission amount is calculated. The calculated emissions are determined as the future carbon dioxide emissions from the carbon dioxide emission point source, with only emissions from self-owned power plants included in the aluminum smelting industry.

6. The method as described in claim 1, characterized in that, The calculation of carbon dioxide capture costs based on the gas concentration, gas flow rate, and remaining service life of the carbon dioxide emission source includes: The amine absorption method was adopted as the designated collection method, and the total investment cost was calculated based on the collection equipment investment calculation model, which is as follows: in, The concentration of carbon dioxide in the captured gas. The flow rate of the captured gas; Capital expenditures are calculated using the U.S. Department of Energy's (DOE / NETL) methodology, and the total one-time investment is amortized over the remaining life of the project using annualized capital expenditures. By combining annualized capital expenditure and operating costs, the carbon dioxide capture cost for each emission point source of each emitting enterprise is obtained.

7. The method as described in claim 1, characterized in that, The determination of the recommended level for the carbon dioxide emission point sources to participate in carbon capture, utilization, and storage, based on the carbon sequestration potential demand and the carbon dioxide capture cost, includes: The carbon emission sources to be included in the database are classified into recommendation levels based on the demand for carbon capture, utilization and storage and the affordability of capture costs. Based on the carbon dioxide sequestration potential of oil and gas reservoirs, a Level I recommendation level is defined with a total annual emission of 640 million tons as the threshold, and the recommendation level for subsequent emission point sources with a total annual emission of 1.62 billion tons is defined as Level II. Based on the cost range of capture, Level III, Level IV, and Level V recommendations are defined, and emission point sources exceeding the preset cost threshold are listed as not recommended.

8. The method as described in claim 7, characterized in that, The method of classifying recommendation levels into Level III, Level IV, and Level V based on capture cost intervals, and listing emission point sources exceeding a preset cost threshold as not recommended, includes: Emission point sources with capture costs in the range of 310 to 350 yuan are classified as Level III recommended sources, and emission point sources with capture costs in the range of 350 to 410 yuan are classified as Level IV recommended sources. Emission point sources with capture costs between 410 and 500 yuan are classified as Level V recommended, while emission point sources with capture costs above 500 yuan are classified as not recommended. Output a database of carbon dioxide emission sources with recommendation levels to provide carbon source information for the implementation of carbon capture, utilization and storage.

9. An apparatus for establishing a CO2 emission source database with a recommendation level, characterized in that, include: The first module is used to acquire emission data from emission facilities and filter out carbon dioxide emission points that emit directly and centrally. The second module is used to predict the future carbon dioxide emissions of the carbon dioxide emission point source based on the process parameters and expected activity levels of the carbon dioxide emission point source. The third module is used to calculate the carbon dioxide capture cost based on the gas concentration, gas flow rate and remaining service life of the carbon dioxide emission point source. The fourth module is used to determine the recommended level of participation of the carbon dioxide emission point sources in carbon capture, utilization and storage by combining the carbon sequestration potential demand and the carbon dioxide capture cost.

10. An electronic device, characterized in that, Including processor and memory; The processor reads executable program code stored in the memory to run a program corresponding to the executable program code, so as to implement the method as described in any one of claims 1-6.

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