Target region greenhouse gas emission amount accounting method and computing device

Abstract

The embodiment of the invention provides a target region greenhouse gas emission accounting method and computing equipment, and the method comprises the steps: determining the proportion of other statistical index quantities of a target region in other statistical index quantities of a superior administrative region, based on the proportion and the input consumption of the superior administrative division, determining the input consumption of the emission source which cannot be filled in the target division; and calculating the greenhouse gas emission amount of the target region based on the filling input consumption amount of the target region and the input consumption amount of the emission source which cannot be filled. The other statistical index quantities have a linear positive correlation with the input consumption of the emission source which cannot be filled and reported, and the linear positive correlation between the emission source which cannot be filled and reported in each target region and the corresponding other statistical index quantities is basically the same in practical application. Therefore, the input consumption of the emission source which cannot be filled and reported by the target region can be determined through other homologous statistical index quantities, so that the greenhouse gas emission of the target region can be estimated more accurately.

Description

[0001] Technology Industry

[0002] The present disclosure relates to the environmental protection technology industry, and in particular to a target zone greenhouse gas emission accounting method and computing device. Background Art

[0003] In order to achieve the "dual carbon" goal, it is necessary to plan and decompose the greenhouse gas emission reduction indicators, allocate them to various administrative departments, and conduct indicator assessment. The premise for evaluating whether each administrative department has achieved the corresponding annual greenhouse gas emission reduction indicators is to be able to determine the annual greenhouse gas emissions in the corresponding administrative division.

[0004] At present, the calculation of greenhouse gas emissions within the region is mainly based on the statistical addition of emission source data reported by enterprises within the administrative region, and the data conversion of the statistical addition is performed. The aforementioned greenhouse gas emission accounting method can only realize the data statistics of large-scale production enterprises (such as power generation enterprises, refining enterprises) and residential emission sources (such as residential natural gas consumption); while some small independent emission sources (such as fuel machinery used in various industries) cannot realize data reporting, and the statistics of greenhouse gas emissions from the corresponding emission sources cannot be more accurately counted. The corresponding greenhouse gas emissions can only be estimated based on local economic conditions. In this way, the actual greenhouse gas emission accounting data of each administrative region has a large deviation. Summary of the invention

[0005] In a first aspect, an embodiment of the present disclosure provides a method for calculating greenhouse gas emissions in a target area, including:

[0006] Obtain the input consumption data of each reportable emission source within the target area, obtain other statistical indicators within the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported, and obtain other statistical indicators of the superior administrative division to which the target area belongs and the input consumption of the emission sources that cannot be reported;

[0007] Statistically summing up the input consumption data of each reportable emission source within the target area to determine the reported input consumption; and determining the proportion of other statistical indicators of the target area to other statistical indicators of the superior administrative area, and determining the input consumption of the emission sources that cannot be reported within the target area based on the proportion and the input consumption of the superior administrative area;

[0008] The greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported.

[0009] Optionally, the emission sources that cannot be reported include emission sources using fossil fuels in the target industry;

[0010] The obtaining of other statistical indicators in the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported includes: obtaining at least one of the following statistical indicators of the emission sources using fossil fuels in the target industry in the target area: power statistics of the emission sources, the number of emission sources, and the output or value of the output products based on the operation of the emission sources;

[0011] The obtaining of other statistical indicators of the superior administrative division to which the target division belongs includes: obtaining at least one of the following statistical indicators of the emission sources using fossil fuels in the target industry within the superior administrative division: power statistics of the emission sources, the number of emission sources, or the output or value of the output products based on the operation of the emission sources.

[0012] Optionally, the target industry is the primary industry, the construction industry, the transportation industry, or the tertiary industry that directly consumes fossil fuels.

[0013] Optionally, the step of obtaining the input consumption data of each reportable emission source within the target area includes:

[0014] Obtain overall consumption data for each reportable emission source within the target area and consumption data for specific production links;

[0015] Before summing up the input consumption data for each reportable emission source within the target area, it also includes:

[0016] Based on the consumption data of specific production links, the overall consumption data is verified and corrected to obtain the corrected overall consumption data;

[0017] The statistical addition of the input consumption data of each reportable emission source within the target area includes: statistical addition of the corrected overall consumption data of the reportable emission sources within the target area.

[0018] Optionally, before calculating the greenhouse gas emissions of the target zone based on the reported input consumption of the target zone and the input consumption of the emission sources that cannot be reported, the method further includes:

[0019] Based on the input consumption statistics of a third party, the reported input consumption and the input consumption of emission sources that cannot be reported are verified and corrected;

[0020] The greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported, including: calculating the greenhouse gas emissions of the target area based on the verified and corrected reported input consumption and the input consumption of the emission sources that cannot be reported.

[0021] Optionally, the greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported, including:

[0022] Determine the single-type consumption of various types of fossil fuels based on the reported input consumption and the input consumption of emission sources that cannot be reported;

[0023] Calculate the greenhouse gas emissions corresponding to a single fossil fuel based on the single-type consumption of various types of fossil fuels, the base calorific value and the greenhouse gas emission factor;

[0024] Add up the greenhouse gas emissions corresponding to all fossil fuels to get the corresponding greenhouse gas emissions.

[0025] Optionally, the obtaining of input consumption data of each reportable emission source in the target area includes: obtaining input consumption data of each first type emission source in the target area;

[0026] The method further includes: obtaining output production data of each second type emission source in the target area; wherein the first type emission source is an emission source that can accurately count input consumption, the second type emission source is an emission source that can accurately count output production, and the first type emission source and the second type emission source are not repeated;

[0027] Statistically sum the output data of each type II emission source to determine the output to be reported;

[0028] The step of statistically adding up the input consumption data of each reportable emission source within the target area to determine the reported input consumption includes: statistically adding up the input consumption data of each first type emission source to determine the reported input consumption;

[0029] The greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported, including: calculating the greenhouse gas emissions of the target area based on the reported input consumption of the target area, the input consumption of the emission sources that cannot be reported and the reported output output.

[0030] Optionally, after calculating the greenhouse gas emissions of the target area, the method further includes:

[0031] An uncertainty analysis is performed on the greenhouse gas emissions of the target area to determine the uncertainty range of the greenhouse gas emissions.

[0032] In a second aspect, an embodiment of the present disclosure provides a device for calculating greenhouse gas emissions by region, including:

[0033] A data acquisition unit, used to acquire input consumption data of each reportable emission source within the target area, acquire other statistical indicators within the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported, and acquire other statistical indicators of the superior administrative area to which the target area belongs and the input consumption of the emission sources that cannot be reported;

[0034] A statistical unit is used to statistically add up the input consumption data of each reportable emission source in the target area to determine the reported input consumption; and determine the proportion of other statistical indicators of the target area to other statistical indicators of the superior administrative area, and determine the input consumption of the emission sources that cannot be reported in the target area based on the proportion and the input consumption of the superior administrative area;

[0035] The emission calculation unit is used to calculate the greenhouse gas emissions of the target area based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported.

[0036] In a third aspect, an embodiment of the present disclosure provides a computing device, including a processor and a memory, wherein the memory is used to store a computer program; when the computer program is loaded by the processor, the processor executes the target area greenhouse gas emission accounting method as described above.

[0037] The embodiment of the present disclosure adopts other statistical indicators that have a positive correlation with the input consumption of the greenhouse gas emission sources that are unable to report their input consumption data to determine the input consumption of the emission sources that are unable to report, and then determines the greenhouse gas emissions of the target area based on the input consumption of the emission sources that are unable to report.

[0038] Because the aforementioned other statistical indicators have a linear positive correlation with the input consumption of unreportable emission sources, and in actual applications, the linear positive correlation between the unreportable emission sources in each target area and the corresponding other statistical indicators is basically the same, so the input consumption of the unreportable emission sources in the target area can be determined through other statistical indicators of the same source, and then the greenhouse gas emissions of the target area can be estimated more accurately. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and, together with the description, serve to explain the principles of the present disclosure.

[0040] In order to more clearly illustrate the technical solutions in the embodiments of the present disclosure or the prior art, the following briefly introduces the drawings required for use in the embodiments or the prior art description. Obviously, for ordinary technicians in this industry, other drawings can be obtained based on these drawings without creative labor, including:

[0041] Figure 1 is a flow chart of a method for calculating greenhouse gas emissions in a target area provided by an embodiment of the present disclosure;

[0042] Figure 2 is a schematic diagram of a device for calculating greenhouse gas emissions by region provided in an embodiment of the present disclosure;

[0043] Figure 3 It is a schematic diagram of the structure of a computing device provided in an embodiment of the present disclosure. DETAILED DESCRIPTION

[0044] Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be construed as being limited to the embodiments described herein, which are instead provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the present disclosure are only for exemplary purposes and are not intended to limit the scope of protection of the present disclosure.

[0045] The term "including" and its variations used in this document are open inclusions, i.e., "including but not limited to". The term "based on" means "based at least in part on". The term "one embodiment" means "at least one embodiment"; the term "another embodiment" means "at least one other embodiment"; the term "some embodiments" means "at least some embodiments". Relevant definitions of other terms will be given in the description below. In this document, relational terms such as "first" and "second" are merely used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations.

[0046] In order to solve the problem that the greenhouse gas emissions of small independent emission sources cannot be counted in the existing zoning, which may increase the deviation between the calculated data of greenhouse gas emissions in the zoning and the actual emissions, the embodiment of the present disclosure provides a new method for calculating greenhouse gas emissions in the target zoning. The greenhouse gas emissions calculation method provided by the embodiment of the present disclosure estimates the greenhouse gas emissions of small independent emission sources more accurately through the same source data, thereby reducing the error between the calculated data of greenhouse gas emissions in the target zoning and the actual emissions.

[0047] Figure 1 This is a flow chart of the target zone greenhouse gas emission calculation method provided by the embodiment of the present disclosure. Figure 1 As shown, the greenhouse gas emission accounting method provided by the embodiment of the present disclosure includes S110-S130.

[0048] S110: Obtain input consumption data for each reportable emission source within the target area.

[0049] In the embodiments of the present disclosure, the emission sources that can be reported are production enterprises such as power generation enterprises and refining enterprises that directly use fossil fuels or other supporting raw materials for production and emit a large amount of greenhouse gases during the production process. Input consumption refers to the consumption of the above-mentioned fossil fuels and other raw materials by the above-mentioned enterprises in normal production. In the embodiments of the present disclosure, input consumption specifically refers to the consumption of raw materials that can generate greenhouse gas emissions, and the corresponding input consumption data is the consumption data of raw materials that can generate greenhouse gas emissions.

[0050] According to existing laws and regulations, the purchase of the above-mentioned materials and the output of enterprises have total quantity index requirements, and the corresponding emission sources must also report the corresponding data in accordance with relevant administrative supervision regulations. The environmental supervision department within the target area can also obtain the input consumption data of the emission sources that can be reported within this area.

[0051] In specific implementation, the input consumption data of the aforementioned reportable emission sources can be obtained through data in various reporting data tables, which can be the existing environmental management data, such as "Pollution Emission and Treatment and Utilization of Industrial Enterprises" (Basic Table 101), Basic Environmental Information Survey Table (Basic Table 102), "Pollution Emission and Treatment of Cement Enterprises" (Basic Table 103), "Key Control Information Survey Table" (Basic Table 104), "Sintering / Pelletizing Pollution Emission and Treatment of Iron and Steel Enterprises" (Basic Table 105), "Operation of Domestic Waste Treatment Plants" (Basic Table 402), "Operation of Hazardous Waste (Medical Waste) Centralized Treatment Plants" (Basic Table 403), "Emission and Treatment of Domestic Pollution in Various Regions" (Comprehensive Table 301). In specific implementation, the input consumption data of the reportable emission sources can be obtained from the aforementioned tables.

[0052] For example, the consumption data of fuels such as coal, natural gas, fuel oil, and combustion-supporting materials consumed in the boiler combustion process can be obtained from the base 102 table, specifically the "fuel type" and "fuel consumption" in the base 102 table. In addition, the "lower calorific value", "carbon content per unit calorific value", and "carbon oxidation rate" in the base 102 table will also be used for the subsequent calculation of greenhouse gas emissions, and the corresponding data will also be extracted.

[0053] For another example, input consumption data for cement kiln combustion process can be obtained from Base 103 table, specifically "coal consumption" in Base 103 table. In addition, "kiln equipment type" in Base 103 table may also be used to determine greenhouse gas emissions (such as raw materials containing carbonate will generate CO2 gas, while processing other types of raw materials will not generate greenhouse gas).

[0054] For another example, the input consumption data in the sintering (including pelletizing) process can be obtained from the base 105 table, specifically the "coal consumption" and "coke consumption" in the base 103 table. The "low calorific value of coal" and "low calorific value of coke" in the base 103 table will be used for the subsequent calculation of greenhouse gas emissions, and the corresponding data will be extracted.

[0055] For another example, the input consumption data in the iron-making process can be obtained from Base 101 Table, Base 104 Table, and Base 105 Table. The specific indicators involved are "coal consumption", "fuel coal consumption", and "coke consumption" in Base 101 Table, "coal consumption" in Base 104 Table, and "coke consumption" in Base 105 Table.

[0056] For another example, the input consumption data in other combustion processes (except the boiler and sintering links) can be obtained from the base 101 table, the base 102 table, and the base 105 table.

[0057] For another example, the input consumption data of centralized pollution control facilities can be obtained from Base 402 Table and Base 403 Table, involving indicators such as "coal consumption", "fuel oil consumption (excluding vehicle and ship use)", and "natural gas consumption".

[0058] For another example, the input consumption data of a petrochemical enterprise in the refining process can be obtained from the basic 101 table, and the indicator involved is "main raw and auxiliary materials crude oil".

[0059] For another example, the input consumption data in the coking process can be obtained from the base 104 table, and the indicator involved is "coal consumption".

[0060] For another example, the input consumption data in the steel production volume process can be obtained from the base 101 table, involving indicators such as "dolomite consumption", "limestone consumption" and "magnesite consumption".

[0061] For another example, the input consumption data in residents' daily life can be obtained from the Comprehensive 301 table, involving indicators such as "living and other coal consumption" and "living and other natural gas consumption".

[0062] S120: Statistically sum the input consumption data of each reportable emission source within the target area to determine the reported input consumption.

[0063] Specifically, the statistical addition of the reportable emission source input consumption data is to classify and statistically add the various types of input consumption determined in S110 to obtain the input consumption of the corresponding type, and use the aforementioned input consumption as the reported input consumption.

[0064] In order to more accurately determine the greenhouse gas emissions of the corresponding types of input consumption (that is, raw materials) in the subsequent steps, it should be determined whether the same types of input consumption can be added together according to the "carbon content per unit calorific value" and "carbon oxidation rate" of various types of input consumption to obtain the corresponding reported input consumption. In other words, even if the input consumption data reported by each reported emission source is the same type of raw material data, due to the different parameters of carbon content per unit calorific value and carbon oxidation rate, it should also be processed as different types of raw material data.

[0065] S130: Obtain other statistical indicators in the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported, and obtain other statistical indicators of the superior administrative area to which the target area belongs and the input consumption of the emission sources that cannot be reported.

[0066] The input consumption of emission sources that cannot be reported within the target area may be the input consumption of the aforementioned small independent greenhouse gas emission sources, etc. In specific implementation, emission sources that cannot be reported may be emission sources in various industries. Taking into account the existing energy consumption methods, the aforementioned emission sources that cannot be reported are mostly emission sources that use fossil fuels (using fuel oil, natural gas, etc.). Specifically, they may be emission sources in the primary industry, secondary industries such as the construction industry and transportation industry, and tertiary industries that directly consume fossil fuels that produce greenhouse gases. More specifically, the fossil fuels used by the aforementioned industries are mostly gasoline, diesel, aviation kerosene, natural gas, etc., and the corresponding emission sources that cannot be reported are mostly agricultural machinery, construction machinery and transportation vehicles that use the aforementioned fossil fuels.

[0067] Other statistical indicators that have a linear positive correlation with the input consumption of emission sources that cannot be reported may be the statistical indicators of the corresponding indicators of the equipment that causes the aforementioned input consumption, or the statistical indicators of products produced due to the aforementioned input consumption.

[0068] For example, for the input consumption in the primary industry within the target area, other statistical indicators within the corresponding target area may be the power statistics of agricultural machinery (that is, the power statistics of emission sources) or the number of agricultural machinery (that is, the number of emission sources).

[0069] For another example, for the input consumption of the secondary industry in the target area, the corresponding other statistical indicators in the target area can be the output of the target industry products generated by the emission source. Specifically, for the construction industry, the other statistical indicators corresponding to the input consumption of various construction machinery can be the newly added area of ​​buildings in the target area in the corresponding period.

[0070] For another example, for the input consumption of the tertiary industry in the target area (such as tourism and accommodation), the corresponding gas statistical indicator in the target area can be the industrial added value (GDP, also referred to as value in this embodiment) of the corresponding industry.

[0071] The superior administrative division is the administrative division to which the target division belongs. For example, if the target division is a district or county without a city, the superior administrative division is the corresponding prefecture-level city; if the target division is a prefecture-level city, the superior administrative division is the corresponding provincial or autonomous region-level division.

[0072] According to the method of obtaining other statistical indicators with linear positive correlation between the target area and the input consumption of the emission element that cannot be reported in the previous article, other corresponding statistical indicators in the superior administrative area can also be obtained. It should be noted here that other statistical indicators in the superior administrative area should be the same as other statistical indicators in the target area.

[0073] The input consumption of emission sources that cannot be reported in the superior administrative division is obtained through other channels. For example, the fuel consumption of the construction industry mentioned above can be obtained through production data provided by provincial petrochemical enterprises. Here, we only need to pay attention to the corresponding input consumption data is reasonable data, and it is not obtained through the statistics of emission source reporting.

[0074] S140: Determine the proportion of other statistical indicators of the target area in other statistical indicators of the superior administrative area, and determine the input consumption of the emission sources that cannot be reported in the target area based on the proportion and the input consumption of the superior administrative area.

[0075] In the disclosed embodiment, other statistical indicators of the target division can be directly compared with other statistical indicators of the superior division to obtain the corresponding proportion. After obtaining the corresponding proportion, the aforementioned proportion is multiplied by the input consumption of the emission source that cannot be reported in the superior administrative division to obtain the input consumption of the emission source that cannot be reported in the target division.

[0076] In specific implementation, for different types of emission sources that cannot be reported, the corresponding proportions and input consumption can be calculated separately.

[0077] S150: Calculate the greenhouse gas emissions of the target area based on the reported input consumption and the input consumption of the emission sources that cannot be reported.

[0078] After obtaining the reported input consumption and the input consumption of the emission source that cannot be reported, the corresponding greenhouse gas emissions can be calculated respectively. Then, the greenhouse gas emissions corresponding to the above two input consumptions are added together to obtain at least part of the greenhouse gas emissions of the target area.

[0079] In some embodiments, all reportable emission sources report the aforementioned input consumption data. Accordingly, the sum of the reported input consumption and the greenhouse gas emissions corresponding to the input consumption of the emission sources that cannot be reported is the greenhouse gas emissions of the target zone.

[0080] In some other embodiments, some reportable emission sources are reported based on the aforementioned input consumption data, and the remaining other reportable emission sources are reported based on other types of data. Accordingly, the greenhouse gas emissions corresponding to other reporting methods can be calculated, and the greenhouse gas emissions of various emission sources are added together to obtain the greenhouse gas emissions of the target area.

[0081] As analyzed above, the embodiment of the present disclosure adopts other statistical indicators that have a positive correlation with the input consumption of emission sources and other indicators of the superior administrative divisions for emission sources that are unable to report input consumption data, and calculates the proportion of unreportable emission sources in the target area among the unreportable emission sources in the superior administrative divisions. Based on the proportion and the input consumption of the unreportable emission sources in the superior administrative divisions, the input consumption of the unreportable emission sources in the target area is calculated, and the greenhouse gas emissions of the target area are determined based on the input consumption of the aforementioned unreportable emission sources.

[0082] Because the aforementioned other statistical indicators have a linear positive correlation with the input consumption of unreportable emission sources, and in actual applications, the linear positive correlation between the unreportable emission sources in each target area and the corresponding other statistical indicators is basically the same, the input consumption of the unreportable emission sources in the target area can be determined by the proportion of other statistical indicators of the same source, and thus the greenhouse gas emissions of the target area can be estimated more accurately.

[0083] In practice, when reporting input consumption data, the reportable emission sources in the target area may report data in the following two ways: (1) reporting only the overall consumption data, that is, the reporting enterprise regards itself as an overall emission source and reports the overall input consumption data; (2) reporting not only the aforementioned overall consumption data but also the consumption data of each production link.

[0084] When the reported data is the aforementioned (2), the aforementioned S110 is specifically the following S111.

[0085] S111: Obtain the overall consumption data of each reportable emission source within the target area and the consumption data of specific production links.

[0086] When executing the aforementioned S111, before executing the aforementioned S120, the following S160 may also be executed.

[0087] S160: Verify and correct the overall consumption data based on the consumption data of the specific production links to obtain the corrected overall consumption data.

[0088] In specific implementation, before executing S160, the completeness of the reported emission source data and the accuracy of the data dimensions can be verified before reporting the type of emission source (that is, the type of enterprise, such as a power generation enterprise or a refining enterprise) to avoid missing data and reporting of incorrect dimensions.

[0089] Then, the input consumption data of each production link is added to obtain the sum value, and the sum value is used to verify whether the overall consumption data is reasonable. If the overall consumption data of the reported emission source is less than the aforementioned sum value, the sum value can be used as the corrected input overall consumption. If the overall consumption data of the reported emission source is less than the aforementioned sum value, the overall consumption data can be directly used as the corrected overall consumption data.

[0090] When executing the aforementioned S160, the aforementioned S120 specifically performs statistical analysis on the corrected overall consumption data of the reportable emission sources within the target area.

[0091] In some embodiments, before executing the aforementioned S150, the following S170 may also be executed.

[0092] S170: Based on the energy resource consumption statistical data of a third party, the reported input consumption and the input consumption of emission sources that cannot be reported are verified and corrected.

[0093] In addition to the environmental protection sector collecting statistics on the input consumption of emission sources, there are also third parties that collect statistics on the input consumption of emission sources to obtain third-party input consumption statistics. In this case, the reported input consumption and the input consumption of emission sources that cannot be reported can also be verified and corrected based on the third-party input consumption statistics. In specific implementation, the third-party input consumption statistics can be the energy balance sheet of the target area, the statistical data of the National Bureau of Statistics, and the macro data such as energy extraction, energy consumption and product output disclosed in the annual statistical inspection.

[0094] When executing the aforementioned S170, the aforementioned S150 specifically calculates the greenhouse gas emissions of the target area based on the verified and corrected reportable input consumption and the input consumption of the unreportable emission sources.

[0095] In a specific implementation, based on the input consumption reported in the target zone and the input consumption of the emission sources that cannot be reported in S150, the calculation of the greenhouse gas emissions of the target zone may specifically include the following S151-S153.

[0096] S151: Determine the single-type consumption of various types of fossil fuels based on the reported input consumption and the input consumption of emission sources that cannot be reported.

[0097] As analyzed above, both reporting input consumption and not reporting input consumption include multiple types of fossil fuels. However, the amount of greenhouse gases produced by different unit weights of fossil fuels may not be the same. Based on the above reasons, it is necessary to first determine the single-type consumption of various types of fossil fuels. In specific implementation, the single-type consumption of various types of fossil fuels can be determined based on the name, label and attribute characteristics of the fossil fuels in the reportable input consumption and the input consumption of the emission source that cannot be reported.

[0098] S152: Calculate the greenhouse gas emissions corresponding to a single fossil fuel based on the single-type consumption of various types of fossil fuels, the base calorific value and the greenhouse gas p emission factor.

[0099] S153: Add up the greenhouse gas emissions corresponding to all fossil fuels to obtain the corresponding greenhouse gas emissions.

[0100] In specific implementation, it can be used Calculate the corresponding greenhouse gas emissions, where E p is the greenhouse gas emissions, FC i is the consumption of the i-th type of fossil fuel, NCV i is the basic lower calorific value of the i-th type of fossil fuel, EF p,i is the greenhouse gas p emission factor of the i-th type of fossil fuel.

[0101] As analyzed above, in some embodiments, S110 obtains the input consumption data of each reportable emission source in the target area, specifically: obtains the input consumption data of the first type of emission source in the target area. The aforementioned first type of emission source is an emission source that can accurately count the input consumption. It can be imagined that for the first type of emission source that can accurately count the input consumption, the greenhouse gas emissions corresponding to the input consumption can be more accurately determined based on the input consumption data.

[0102] In actual industrial production, the emission sources that can be reported include not only the first type of emission sources that can accurately count input consumption, but also the second type of emission sources that cannot accurately count input consumption but can accurately count output, and the output output has a relatively clear corresponding relationship with the corresponding greenhouse gas emissions. In this case, in some embodiments, the output output data of each second type of emission source in the target area can also be obtained.

[0103] For example, for methane emissions from coal mining and post-mine activities, the output production that can be reported is determined to be coal production, and the output production that can be reported can be obtained from the Base 101 table.

[0104] For another example, for methane emissions in oil production, the output production to be reported can be determined to be non-heavy oil and oil production, and the output production to be reported can be obtained from the base 101 table based on the required activity level.

[0105] For another example, for methane emissions from crude oil refining, the output production to be reported can be determined to be crude oil, and the output production to be reported can be obtained from the base 101 table based on the required activity level.

[0106] For another example, for methane emissions during natural gas consumption, the output output to be reported can be determined to be the natural gas consumption, and the output output to be reported can be obtained from the base 101 table.

[0107] For another example, the carbon dioxide emissions from the cement production process come from the high-temperature decomposition of carbonate raw materials such as limestone in the clinker production process. The output output to be reported can be determined as "clinker output", "carbide slag clinker output", "calcium oxide content in clinker", and "magnesium oxide content in clinker". The reported output output is obtained from Base 103 Table.

[0108] For another example, with respect to carbon dioxide emissions from the lime production process, the output output to be reported is determined to be the output of lime powder, calcium carbonate, slaked lime, calcium oxide, quicklime, and calcium powder. The output output to be reported can be obtained from Table 101.

[0109] For another example, with respect to carbon dioxide emissions from the glass production process, the output output of flat glass, glass, and fiberglass is determined and reported, and the reported output output is obtained from the base 101 table.

[0110] For another example, with respect to carbon dioxide emissions during steel production, the output outputs "pig iron output" and "crude steel output" are determined and reported. The output outputs reported can be obtained from the base 105 table.

[0111] For another example, with regard to greenhouse gas emissions during the aluminum production process, the output output to be reported is determined to be the output of primary aluminum and electrolytic aluminum, and the output output to be reported can be obtained from the Base 101 table.

[0112] For another example, for the carbon dioxide emissions from the production process of magnesium, lead, zinc and ferroalloys, the output output to be reported is determined to be magnesium ingots, magnesia sand, and metallic magnesium. The main products are: crude lead, electrolytic lead, electrolytic lead, refined lead, lead ingots, lead powder, crude zinc, electrolytic zinc, electrolytic zinc, zinc, zinc rods, zinc ingots, zinc metal, zinc particles, high carbon ferrochrome, ferrosilicon, silicon-manganese alloy, silicon-manganese, ferrochrome alloy, low carbon ferrochrome, medium and low carbon ferrochrome, etc. The output output to be reported can be obtained from the Basic 101 table.

[0113] For another example, the dynamic levels required for calculating carbon dioxide and methane emissions from the production processes of calcium carbide, ethylene, ammonia, titanium dioxide, soda ash, methanol, ethylene dichloride, vinyl chloride, ethylene oxide, acrylonitrile, and carbon black can be obtained from Table 101 of Basic Science. The output output to be reported is determined as calcium carbide, calcium carbide, ethylene, vinyl chloride, polyethylene, vinyl dichloride, trichloroethylene, tetrachloroethylene, etc., ammonia, synthetic ammonia, liquid ammonia, liquid anhydrous ammonia, etc. The main products are titanium dioxide, titanium dioxide, soda ash, methanol, crude methanol, solid methanol, the main products are ethylene dichloride, 1,2-dichloroethane, vinyl chloride, trichloroethylene, tetrachloroethylene, ethylene oxide, the main products are acrylonitrile, carbon black, white carbon black, etc. The output output to be reported can be obtained from Table 101 of Basic Science.

[0114] For another example, with respect to nitrous oxide emissions from the production process of adipic acid, nitric acid, and caprolactam, the output output to be reported is determined to be the output of adipic acid, nitric acid, caprolactam, etc. The output output to be reported can be obtained from the base 101 table.

[0115] For another example, for HFC-23 emissions from the difluorochloromethane production process, the output output to be reported is determined to be the output of difluorochloromethane, HCFC-22, etc. The output output to be reported can be obtained from Table 101.

[0116] When the output production data of the aforementioned second type of emission sources are obtained, the output production to be reported can also be determined based on statistics of the output production data of the second type of emission sources.

[0117] When the aforementioned reported input consumption, reported output output and input consumption of emission sources that cannot be reported are determined, the aforementioned S150 is specifically: based on the reported input consumption, input consumption of emission sources that cannot be reported and reported output output, the greenhouse gas emissions of the target area are calculated.

[0118] The method for calculating the corresponding greenhouse gas emissions based on reported input consumption and non-reportable input consumption is the same as above and will not be analyzed here. For the greenhouse gas emissions corresponding to the reported output, E p =∑AD i ×EF i,p Calculated, where E p is the pth greenhouse gas emission in the industrial production process, AD i is the reported output of the i-th type of product, EF i,p is the emission factor of the pth greenhouse gas corresponding to the ith type of product.

[0119] After determining the greenhouse gas emissions corresponding to the aforementioned reported input consumption, the input consumption of unreportable emission sources, and the reported output production, the greenhouse gas emissions corresponding to the three types are added together to obtain the greenhouse gas emissions of the target area.

[0120] It should be noted here that for a certain production operation process, if the corresponding reported input consumption data is used to calculate greenhouse gas emissions, the corresponding reported output production data cannot be used to calculate greenhouse gas emissions, so as to avoid repeated counting of the corresponding greenhouse gas emissions data, that is, the first type of emission sources and the second type of emission sources are not repeated.

[0121] In practical applications, after calculating the greenhouse gas emissions using the above method, uncertainty analysis can be performed on the greenhouse gas emissions of the target area to determine the uncertainty range of the greenhouse gas emissions. In specific implementations, a Monte Carlo simulation-based method can be used for uncertainty analysis.

[0122] In addition to providing the aforementioned method for calculating regional greenhouse gas emissions, the embodiment of the present disclosure also provides a device for calculating regional greenhouse gas emissions. Figure 2 Schematic diagram of the device for calculating greenhouse gas emissions by region provided by the embodiment of the present disclosure. Figure 2 As shown, the regional greenhouse gas emission accounting device 200 includes a data acquisition unit 201, a statistical unit 202 and an emission calculation unit 203.

[0123] The data acquisition unit 201 is used to obtain the input consumption data of each reportable emission source within the target area, obtain other statistical indicators within the target area that have a linear positive correlation with the input consumption of unreportable emission sources, and obtain other statistical indicators of the superior administrative area to which the target area belongs and the input consumption of unreportable emission sources.

[0124] The statistical unit 202 is used to perform statistical addition on the input consumption data of each reportable emission source within the target area to determine the reported input consumption; and to determine the proportion of other statistical indicators of the target area in other statistical indicators of the superior administrative area, and determine the input consumption of the emission sources that cannot be reported within the target area based on the proportion and the input consumption of the superior administrative area.

[0125] The emission calculation unit 203 is used to calculate the greenhouse gas emissions of the target zone based on the reported input consumption of the target zone and the input consumption of the emission sources that cannot be reported.

[0126] In some embodiments, the data acquisition unit 201 acquires other statistical indicators in the target area that have a linear positive correlation with the input consumption of the emission source that cannot be reported, including: acquiring at least one of the following statistical indicators of the emission sources of the target industry using fossil fuels in the target area: power statistics of the emission sources, the number of emission sources, and the output or value of the output products based on the operation of the emission sources. Correspondingly, acquiring other statistical indicators of the superior administrative area to which the target area belongs includes: acquiring at least one of the following statistical indicators of the emission sources of the target industry using fossil fuels in the superior administrative area: power statistics of the emission sources, the number of emission sources, or the output or value of the output products based on the operation of the emission sources.

[0127] In some embodiments, the data acquisition unit 201 acquires the overall consumption data of each reportable emission source within the target area and the link consumption data of the specific production link, and performs data verification and correction on the overall consumption data based on the link consumption data of the specific production link to obtain the corrected overall consumption data. The corresponding statistical unit 202 performs statistical analysis on the corrected overall consumption data of the reportable emission sources within the target area.

[0128] In some embodiments, the statistical unit 202 verifies and amends the reported input consumption and the input consumption of the emission sources that cannot be reported based on the input consumption statistical data of the third party. The emission calculation unit 203 calculates the greenhouse gas emissions of the target area based on the verified and amended reportable input consumption and the input consumption of the emission sources that cannot be reported.

[0129] In some embodiments, the emission calculation unit 203 determines the single-type consumption of various types of fossil fuels based on the reported input consumption and the input consumption of the emission source that cannot be reported; calculates the greenhouse gas emissions corresponding to a single fossil fuel according to the single-type consumption of various types of fossil fuels, the base calorific value and the greenhouse gas emission factor; and then adds up the greenhouse gas emissions corresponding to all fossil fuels to obtain the corresponding greenhouse gas emissions.

[0130] In some embodiments, in addition to acquiring the input consumption data of the first type of emission source in the target area, the data acquisition unit 201 also acquires the output production data of the second type of emission source in the target area; wherein the first type is an emission source that can accurately count the input consumption, and the second type of emission source is an emission source that can accurately count the output production. Subsequently, the statistical unit 202 performs statistical analysis on the input consumption data of the first type of emission source to determine the reported input consumption, and performs statistical analysis on the output production data of the second type of emission source to determine the reported output production. Accordingly, the emission calculation unit 203 calculates the greenhouse gas emissions of the target area based on the reported input consumption, the input consumption of the emission source that cannot be reported, and the reported output production.

[0131] In some embodiments, the regional greenhouse gas emission accounting device 200 further includes an uncertainty analysis unit. The uncertainty analysis unit performs uncertainty analysis on the greenhouse gas emission of the target region to determine the uncertainty range of the greenhouse gas emission.

[0132] The embodiment of the present disclosure also provides a computing device for implementing the aforementioned method. Figure 3 Schematic diagram of the structure of the computing device provided by the embodiment of the present disclosure. Figure 3 , which shows a schematic diagram of the structure of a computing device 300 suitable for implementing the method of the embodiment of the present disclosure. Figure 3 The computing device shown is only an example and should not bring any limitation to the functionality and scope of use of the embodiments of the present disclosure.

[0133] like Figure 3 As shown, the computing device 300 may include a processing device (e.g., a central processing unit, a graphics processing unit, etc.) 301, which can perform various appropriate actions and processes according to a program stored in a read-only memory ROM 302 or a program loaded from a storage device 308 to a random access memory RAM 303. Various programs and data required for the operation of the computing device 300 are also stored in the RAM 303. The processing device 301, the ROM 302, and the RAM 303 are connected to each other via a bus 304. An input / output I / O interface 305 is also connected to the bus 304.

[0134] Typically, the following devices may be connected to the I / O interface 305: input devices 306 including, for example, a touch screen, a touch pad, a camera, a microphone, etc.; output devices 307 including, for example, a liquid crystal display (LCD), a speaker, a vibrator, etc.; storage devices 308 including, for example, a magnetic tape, a hard disk, etc.; and communication devices 309. The communication devices 309 may allow the computing device 300 to communicate with other devices wirelessly or by wire to exchange data. Although Figure 3 The computing device 300 is shown with various devices, but it should be understood that it is not required to implement or have all of the devices shown. More or fewer devices may be implemented or have instead.

[0135] In particular, according to an embodiment of the present disclosure, the process described above with reference to the flowchart can be implemented as a computer software program. For example, an embodiment of the present disclosure includes a computer program product, which includes a computer program carried on a non-transitory computer-readable medium, and the computer program contains program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication device 309, or installed from the storage device 308, or installed from the ROM 302. When the computer program is executed by the processing device 301, the above-mentioned functions defined in the method of the embodiment of the present disclosure are executed.

[0136] It should be noted that the computer-readable medium mentioned above in the present disclosure may be a computer-readable storage medium, a computer-readable signal medium, or any combination of the above two.

[0137] The computer-readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus or device, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wires, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In the present disclosure, a computer-readable storage medium may be any tangible medium containing or storing a program that may be used by or in conjunction with an instruction execution system, apparatus, or device.

[0138] Computer readable signal media may include data signals propagated in baseband or as part of a carrier wave, which carry computer readable program codes. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. Computer readable signal media may also be any computer readable medium other than a computer readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, device, or device. The program code contained on the computer readable medium may be transmitted using any suitable medium, including but not limited to: wires, optical cables, RF (radio frequency), etc., or any suitable combination of the above.

[0139] In some embodiments, the client and the server may communicate using any currently known or future developed network protocol such as HTTP (HyperText Transfer Protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include a local area network ("LAN"), a wide area network ("WAN"), an internet (e.g., the Internet), and a peer-to-peer network (e.g., an ad hoc peer-to-peer network), as well as any currently known or future developed network.

[0140] The computer-readable medium may be included in the computing device, or may exist independently without being incorporated into the computing device.

[0141] Computer program code for performing the operations of the present disclosure may be written in one or more programming languages ​​or a combination thereof, including but not limited to object-oriented programming languages ​​such as Java, SMalltalk, C++, and conventional procedural programming languages ​​such as "C" or similar programming languages. The program code may be executed entirely on the tester computer, partially on the tester computer, as a separate software package, partially on the tester computer and partially on a remote computer, or entirely on a remote computer or server. In cases involving a remote computer, the remote computer may be connected to the tester computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., via the Internet using an Internet service provider).

[0142] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present disclosure. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some implementations as replacements, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated system based on hardware that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0143] The units involved in the embodiments described in the present disclosure may be implemented by software or by hardware. The name of the unit does not, in some cases, constitute a limitation on the unit itself. The functions described above herein may be performed at least in part by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field programmable gate arrays (FPGAs), application specific integrated circuits (ASICs), application specific standard products (ASSPs), systems on chips (SOCs), complex programmable logic devices (CPLDs), and the like.

[0144] The above are only specific embodiments of the present disclosure, which enable those skilled in the art to understand or implement the present disclosure. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present disclosure. Therefore, the present disclosure will not be limited to these embodiments herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for calculating greenhouse gas emissions in a target area, characterized in that: include: Obtain the input consumption data of each reportable emission source within the target area, obtain other statistical indicators within the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported, and obtain other statistical indicators of the superior administrative division to which the target area belongs and the input consumption of the emission sources that cannot be reported; Statistically sum the input consumption data of each reportable emission source within the target area to determine the input consumption to be reported; And, determine the proportion of other statistical indicators of the target area to other statistical indicators of the superior administrative area, and determine the input consumption of the emission sources that cannot be reported in the target area based on the proportion and the input consumption of the superior administrative area; The greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported.

2. The calculation method according to claim 1, characterized in that: The emission sources that cannot be reported include the emission sources using fossil fuels in the target industry; The obtaining of other statistical indicators in the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported includes: obtaining at least one of the following statistical indicators of the emission sources using fossil fuels in the target industry in the target area: power statistics of the emission sources, the number of emission sources, and the output or value of the output products based on the operation of the emission sources; The obtaining of other statistical indicators of the superior administrative division to which the target division belongs includes: obtaining at least one of the following statistical indicators of the emission sources using fossil fuels in the target industry within the superior administrative division: power statistics of the emission sources, the number of emission sources, or the output or value of the output products based on the operation of the emission sources.

3. The calculation method according to claim 2, characterized in that: The target industries are the primary industry, construction industry, transportation industry, or the tertiary industry that directly consumes fossil fuels.

4. The calculation method according to any one of claims 1 to 3, characterized in that: The acquisition of input consumption data for each reportable emission source within the target area includes: Obtain overall consumption data for each reportable emission source within the target area and consumption data for specific production links; Before summing up the input consumption data for each reportable emission source within the target area, it also includes: Based on the consumption data of specific production links, the overall consumption data is verified and corrected to obtain the corrected overall consumption data; The statistical addition of the input consumption data of each reportable emission source within the target area includes: statistical addition of the corrected overall consumption data of the reportable emission sources within the target area.

5. The calculation method according to claim 4, characterized in that: Before calculating the greenhouse gas emissions of the target zone based on the reported input consumption of the target zone and the input consumption of the emission sources that cannot be reported, the method further includes: Based on the input consumption statistics of a third party, the reported input consumption and the input consumption of emission sources that cannot be reported are verified and corrected; The greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported, including: calculating the greenhouse gas emissions of the target area based on the verified and corrected reported input consumption and the input consumption of the emission sources that cannot be reported.

6. The calculation method according to any one of claims 1 to 3, characterized in that: Based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported, calculate the greenhouse gas emissions of the target area, including: Determine the single-type consumption of various types of fossil fuels based on the reported input consumption and the input consumption of emission sources that cannot be reported; Calculate the greenhouse gas emissions corresponding to a single fossil fuel based on the single-type consumption of various types of fossil fuels, the base calorific value and the greenhouse gas emission factor; Add up the greenhouse gas emissions corresponding to all fossil fuels to get the corresponding greenhouse gas emissions.

7. The calculation method according to any one of claims 1 to 3, characterized in that: The obtaining of the input consumption data of each reportable emission source in the target area includes: obtaining the input consumption data of each first type emission source in the target area; The method further includes: obtaining output production data of each second type emission source in the target area; wherein the first type emission source is an emission source that can accurately count input consumption, the second type emission source is an emission source that can accurately count output production, and the first type emission source and the second type emission source are not repeated; Statistically sum the output production data of each type II emission source to determine the output production to be reported; The step of statistically adding up the input consumption data of each reportable emission source within the target area to determine the reported input consumption includes: statistically adding up the input consumption data of each first type emission source to determine the reported input consumption; The greenhouse gas emissions of the target area are calculated based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported, including: calculating the greenhouse gas emissions of the target area based on the reported input consumption of the target area, the input consumption of the emission sources that cannot be reported and the reported output output.

8. The calculation method according to any one of claims 1 to 3, characterized in that: After calculating the greenhouse gas emissions of the target zone, the method further includes: An uncertainty analysis is performed on the greenhouse gas emissions of the target area to determine the uncertainty range of the greenhouse gas emissions.

9. A device for calculating greenhouse gas emissions by region, characterized in that: include: A data acquisition unit, used to acquire input consumption data of each reportable emission source within the target area, acquire other statistical indicators within the target area that have a linear positive correlation with the input consumption of the emission sources that cannot be reported, and acquire other statistical indicators of the superior administrative area to which the target area belongs and the input consumption of the emission sources that cannot be reported; The statistical unit is used to statistically sum the input consumption data of each reportable emission source within the target area to determine the reported input consumption; And, determine the proportion of other statistical indicators of the target area to other statistical indicators of the superior administrative area, and determine the input consumption of the emission sources that cannot be reported in the target area based on the proportion and the input consumption of the superior administrative area; The emission calculation unit is used to calculate the greenhouse gas emissions of the target area based on the reported input consumption of the target area and the input consumption of the emission sources that cannot be reported.

10. A computing device, characterized in that It includes a processor and a memory, wherein the memory is used to store a computer program; when the computer program is loaded by the processor, the processor executes the target area greenhouse gas emission accounting method as described in any one of claims 1-8.

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