Carbon emission prediction method, electronic equipment, readable storage medium and program product

Abstract

The invention provides a carbon emission prediction method, electronic equipment, a readable storage medium and a program product, and relates to the technical field of carbon emission, and the method comprises the steps: obtaining historical electric quantity data in a target region, and target power generation data of the target region in a target time period; calculating historical carbon emission data based on the historical electric quantity data; calculating a first carbon emission factor in the target area based on the historical carbon emission data and the historical electric quantity data; and on the basis of the target power generation data and the first carbon emission factor, target carbon emission data of the target area in the target time period are predicted. The method can improve the calculation accuracy of carbon emission caused by regional power generation.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission technology, and in particular to a carbon emission prediction method, electronic equipment, a readable storage medium and a program product. Background Art

[0002] Carbon emissions occur in the process of fossil energy power generation. In related technologies, carbon emissions generated in the power generation process are usually calculated based on the consumption of fossil energy. However, in the actual power generation process, in addition to the electricity generated by fossil energy, the electricity in the region also includes electricity flowing in from other regional power grids and / or electricity imported from other countries. This part of electricity still has carbon emissions in the power generation process, but related technologies cannot calculate the carbon emissions of this part of electricity, resulting in a low accuracy rate for the calculated carbon emissions caused by power generation in the region.

[0003] It can be seen that the related technology has the problem of low accuracy in calculating carbon emissions caused by power generation in a region. Summary of the invention

[0004] Embodiments of the present invention provide a carbon emission prediction method, electronic device, readable storage medium and program product to solve the problem of low accuracy of calculated carbon emissions caused by power generation in a region in related technologies.

[0005] To solve the above problems, the present invention is achieved as follows:

[0006] In a first aspect, an embodiment of the present invention provides a carbon emission prediction method, comprising:

[0007] Acquire historical electricity data in a target area and target power generation data of the target area in a target time period;

[0008] Calculating historical carbon emission data based on the historical electricity data;

[0009] Calculating a first carbon emission factor within the target area based on the historical carbon emission data and the historical electricity data;

[0010] Based on the target power generation data and the first carbon emission factor, target carbon emission data of the target area in the target time period is predicted.

[0011] In a second aspect, an embodiment of the present invention provides a carbon emission prediction device, comprising:

[0012] An acquisition module is used to acquire historical electricity data in a target area and target power generation data of the target area in a target time period;

[0013] A first calculation module, configured to calculate historical carbon emission data based on the historical electricity data;

[0014] A second calculation module, configured to calculate a first carbon emission factor in the target area based on the historical carbon emission data and the historical electricity data;

[0015] A prediction module is used to predict the target carbon emission data of the target area in the target time period based on the target power generation data and the first carbon emission factor.

[0016] In a third aspect, an embodiment of the present invention further provides an electronic device, comprising a processor, a memory, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the steps in the carbon emission prediction method described in the first aspect are implemented.

[0017] In a fourth aspect, an embodiment of the present invention further provides a readable storage medium for storing a program, wherein when the program is executed by a processor, the steps in the carbon emission prediction method as described in the first aspect above are implemented.

[0018] In a fifth aspect, an embodiment of the present invention further provides a computer program product, comprising computer instructions, which, when executed by a processor, implement the steps in the carbon emission prediction method as described in the first aspect above.

[0019] In an embodiment of the present invention, historical electricity data within a target area and target power generation data of the target area in a target time period are obtained; based on the historical electricity data, historical carbon emission data are calculated to obtain more accurate historical carbon emission data, so as to cover carbon emissions corresponding to multiple types of power generation; based on the historical carbon emission data and the historical electricity data, a first carbon emission factor within the target area is calculated; based on the target power generation data and the first carbon emission factor, target carbon emission data of the target area in the target time period is predicted, so as to calculate target carbon emission data through historical electricity data and historical carbon emission data, so that the target carbon emission data is carbon emission data corresponding to power generation covering multiple power generation methods, so as to make an overall prediction of carbon emissions caused by power generation by multiple power generation methods in the region, thereby improving the accuracy of the calculated carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the accompanying drawings required for use in the description of the embodiments of the present invention will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other accompanying drawings can be obtained based on these accompanying drawings without paying creative labor.

[0021] Figure 1 is a flow chart of a carbon emission prediction method provided by an embodiment of the present invention;

[0022] Figure 2 is a schematic diagram of a target carbon emission data calculation process provided by an embodiment of the present invention;

[0023] Figure 3 is a schematic diagram of a first carbon emission factor calculation process provided by an embodiment of the present invention;

[0024] Figure 4 is a structural diagram of a carbon emission prediction device provided by an embodiment of the present invention;

[0025] Figure 5 It is a structural diagram of an electronic device provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0026] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0027] See also Figure 1 , Figure 1 is a flow chart of a carbon emission prediction method provided by an embodiment of the present invention. Figure 1 As shown, the following steps are included:

[0028] Step 101: Acquire historical electricity data in a target area and target power generation data of the target area in a target time period.

[0029] The above target area is the area where carbon emissions need to be calculated. The area is a pre-set area. The power generation data or carbon emission data in the area is calculated or counted separately. The jurisdiction of the area is a fixed range and does not change over time. Optionally, the area can be the North China regional power grid, the Northeast regional power grid, the East China regional power grid, the Central China regional power grid, the Northwest regional power grid and the South regional power grid.

[0030] The above historical electricity data is the electricity generated by the target area in the past time period. It should be noted that the historical electricity data is statistically obtained data, which can be specifically counted to daily or hourly electricity, and then the historical electricity data is obtained according to the defined statistical time period. Among them, in the present invention, obtaining the historical electricity data in the target area is specifically the statistical power generation data of the target area in the statistical time period.

[0031] It should be noted that the longer the statistical time period is, the more data is obtained, and the more accurate the first carbon emission factor is calculated. At the same time, the longer the statistical time period is, the longer the statistical process and calculation time is, so it is necessary to determine an appropriate statistical time period while taking into account both accuracy and calculation efficiency. In some embodiments, the statistical time period can be the previous statistical year and half year.

[0032] The target time period is a time period for determining the target power data, and the target power is the power generated by the target area during the target time period. The target time period may be a future time period, in which case the target power data is the power data expected to be generated by the target area during the target time period according to the power generation plan. In the present invention, obtaining the target power data specifically means calculating the power generation data in the target time period according to the power generation plan of the target area.

[0033] Step 102: Calculate historical carbon emission data based on the historical electricity data.

[0034] The above historical carbon emission data is the data of carbon emissions in the target area during the statistical time period corresponding to the historical electricity data. It should be noted that the historical electricity data includes electricity data of multiple power generation types, specifically including the first electricity data generated by fossil energy power generation, the second electricity data of net inflow from other regional power grids, the third electricity data of imports, and at least one of the fourth electricity data of renewable energy power generation and nuclear power generation. Among them, the carbon emissions generated in the power generation process of the power generation data of the power generation type are different, and the carbon emissions generated in the power generation process of each power generation type need to be calculated based on the electricity data.

[0035] Specifically, when the power generation type is fossil energy power generation, the historical carbon emission data includes the first carbon emission data generated by fossil energy power generation; when the power generation type is net inflow from other regional power grids, the historical carbon emission data includes the second carbon emission data generated by the net inflow of other regional power grids; when the power generation type is import, the historical carbon emission data includes the third carbon emission data generated by the imported electricity; and when the power generation type is renewable energy power generation and nuclear power generation, the fourth electricity data does not generate carbon emissions; the first carbon emission data is direct emission data, and the second and third carbon emission data are indirect emission data. Renewable energy power generation includes wind power, hydropower, solar power generation, geothermal power generation, biomass power generation, etc.

[0036] Among them, when the historical power data includes at least two of the first power data, the second power data, the third power data and the fourth power data, the historical power data is the sum of at least two of the first power data, the second power data, the third power data and the fourth power data.

[0037] Among them, Figure 2As shown, based on the historical electricity data, the historical carbon emission data can be calculated by establishing a calculation model for each type of power generation, calculating the carbon emission of each type of power generation through the calculation model, and then obtaining the historical carbon emission data, wherein the historical carbon emission data is calculated by the following formula:

[0038] E total,i =Em grid,i +Em j,in,i +Em k,in,i

[0039] In the formula, Em total,i Historical carbon emissions data, Em grid,i For the first carbon emission data, Em j,in,i is the second carbon emission data, Em k,in,i This is the third carbon emission data.

[0040] For example, Figure 3 As shown, in the process of calculating the target carbon emissions, the first carbon emission data of direct carbon emissions in the target area, the second carbon emission data of carbon emissions generated by net inflows from other areas in the target area, and the third carbon emission data generated by imports are calculated. The historical electricity data of the target area includes the power generation of different sub-areas, as well as the net inflow of electricity from other areas and the imported electricity.

[0041] In an embodiment of the present invention, the carbon emissions generated by each type of power generation are calculated using the power generation data of multiple types of power generation included in the historical power data to obtain accurate historical carbon emission data.

[0042] Step 103: Calculate a first carbon emission factor in the target area based on the historical carbon emission data and the historical electricity data.

[0043] Step 104: Based on the target power generation data and the first carbon emission factor, predict and obtain target carbon emission data for the target area in the target time period.

[0044] It should be noted that since the target power generation in the target area during the target time period is an estimated power generation, the carbon emissions caused by power generation cannot be directly calculated. It is necessary to calculate the first carbon emission factor based on the historical electricity data and historical carbon emission data of the target area, and then calculate the target carbon emission data through the first carbon emission factor.

[0045] In some embodiments, based on the historical carbon emission data and the historical electricity data, the first carbon emission factor in the target area is calculated, and the quotient of the historical carbon emission data and the historical electricity data is set as the first carbon emission factor, in which case the first carbon emission factor is the carbon emission generated by power generation per unit of electricity. The first carbon emission factor is then multiplied by the target power generation data to obtain the target carbon emission data for the target area in the target time period.

[0046] The calculation of the first carbon emission factor can be expressed by the following formula:

[0047]

[0048] EF in the formula grid,i is the first carbon emission factor, Em total,i is the historical carbon emission data, E net,i It is the historical electricity data.

[0049] In some embodiments, based on the historical carbon emission data and the historical electricity data, the first carbon emission factor in the target area is calculated by setting the quotient of the historical electricity data and the historical carbon emission data to the first carbon emission factor, where the first carbon emission factor is the amount of electricity generated per unit carbon emission. The target electricity generation data is then divided by the first carbon emission factor to obtain the target carbon emission data for the target area in the target time period.

[0050] In an embodiment of the present invention, historical electricity data within a target area and target power generation data of the target area in a target time period are obtained; based on the historical electricity data, historical carbon emission data are calculated to obtain more accurate historical carbon emission data, so as to cover carbon emissions corresponding to multiple types of power generation; based on the historical carbon emission data and the historical electricity data, a first carbon emission factor within the target area is calculated; based on the target power generation data and the first carbon emission factor, target carbon emission data of the target area in the target time period is predicted, so as to calculate target carbon emission data through historical electricity data and historical carbon emission data, so that the target carbon emission data is carbon emission data corresponding to power generation covering multiple power generation methods, so as to make an overall prediction of carbon emissions caused by power generation by multiple power generation methods in the region, thereby improving the accuracy of the calculated carbon emissions.

[0051] Furthermore, after calculating the target carbon emission data, the power generation plan can be adjusted according to the target carbon emission data. For example, through the target carbon emission data and the planned carbon emission data, it is calculated that the proportion of fossil energy power generation needs to be reduced and renewable energy power generation and nuclear power generation needs to be increased to reduce the target carbon emission data, thereby achieving carbon emissions within the planned carbon emission data, effectively reducing carbon emissions while maintaining stable power supply.

[0052] At the same time, the calculated first carbon emission factor can reflect the new energy development trend of the target area. The first carbon emission factors of different regions can reflect the differences in energy and power structure in different regions. By calculating the first carbon emission factor of the target area, the problem of delayed updating of regional carbon emission factors can be solved. The first carbon emission factor can also solve the problems of low accounting accuracy of electricity users or power generation units between regions and repeated measurement of green electricity emission reduction benefits, effectively supporting electricity users or power generation units to disclose carbon information, respond to carbon tariffs and promote the coupled development of electricity and carbon markets.

[0053] In one embodiment, when the historical electricity data includes the first electricity data, and the historical carbon emission data includes the first carbon emission data, the fossil energy includes at least one fossil fuel, and the first electricity data includes fossil power generation data corresponding to each fossil fuel in the at least one fossil fuel, and the calculating the historical carbon emission data based on the historical electricity data includes:

[0054] Obtaining an average lower calorific value corresponding to each fossil fuel and a second carbon emission factor of the fossil fuel;

[0055] The corresponding consumption of each fossil fuel calculated based on the corresponding fossil power generation data;

[0056] Calculate the first carbon emission data based on the fossil fuel consumption, the average lower calorific value, and the second carbon emission factor corresponding to each fossil fuel;

[0057] The first carbon emission data is calculated based on the fossil fuel consumption, the average lower calorific value and the second carbon emission factor corresponding to each fossil fuel, and is represented by the following formula:

[0058]

[0059] In the formula, Em grid,i is the first carbon emission data, m is the amount of fossil fuels included in the fossil energy, FC m NCV is the consumption of each fossil fuel. m is the average lower calorific value corresponding to each fossil fuel, is the second carbon emission factor corresponding to each of the fossil fuels.

[0060] The average lower calorific value and the second carbon emission factor of each fossil fuel corresponding to the above-mentioned fossil fuel are the basic characteristics of each fossil energy source. The average lower calorific value and the second carbon emission factor can be obtained through a pre-made table or obtained through experimental testing.

[0061] Among them, the carbon emission data of each fossil fuel is the product of the fossil fuel consumption, the average lower calorific value and the second carbon emission factor.

[0062] The above-mentioned consumption of each fossil fuel calculated based on the corresponding fossil power generation data can be calculated by the conversion factor of the power generation per unit of fossil fuel consumed and the fossil power generation data corresponding to each fossil fuel. Furthermore, if the consumption of each fossil fuel in the target area can be directly obtained, the carbon emission data can also be directly calculated by the consumption of each fossil fuel.

[0063] In an embodiment of the present invention, the calculation of carbon emissions generated by fossil energy power generation is achieved by obtaining the average lower calorific value and the second carbon emission factor corresponding to each fossil fuel; calculating the consumption of each fossil fuel based on the corresponding fossil power generation data; and calculating the first carbon emission data based on the fossil fuel consumption, the average lower calorific value and the second carbon emission factor corresponding to each fossil fuel.

[0064] In one embodiment, when the historical electricity data includes the second electricity data, and the historical carbon emission data includes the second carbon emission data, the other regions include at least one region, the second electricity data includes inflow electricity data corresponding to each region of the at least one region, and the calculating the historical carbon emission data based on the historical electricity data includes:

[0065] Obtaining the third carbon emission factor corresponding to each region;

[0066] The product of the corresponding inflow electricity data and the third carbon emission factor is set as the carbon emission data of each region;

[0067] The sum of the carbon emission data of each region is set as the second carbon emission data.

[0068] The third carbon emission factor is a regional carbon emission factor, which is calculated based on historical electricity data and historical carbon emission data of other regions. The calculation process is the same as that of the target region in calculating the first carbon emission factor.

[0069] It should be noted that the third carbon emission factor is different in different regions, and it is necessary to calculate carbon emissions for each region separately, and then sum them up to obtain the second carbon emission data. The product of the corresponding inflow electricity data and the third carbon emission factor is set as the carbon emission data of each region, and the sum of the carbon emission data of each region is set as the second carbon emission data, which can be specifically expressed by the following formula:

[0070]

[0071] In the formula, Em j,in,i is the second carbon emission data, j is the number of other regions, EF grid,j is the third carbon emission factor, E j,in,i This is the data of electricity inflow to other areas.

[0072] In an embodiment of the present invention, by obtaining the third carbon emission factor corresponding to each region; setting the product of the corresponding inflow electricity data and the third carbon emission factor as the carbon emission data of each region; and setting the sum of the carbon emission data of each region as the second carbon emission data, the calculation of carbon emissions generated by the inflow electricity of other regions is achieved.

[0073] In one embodiment, when the historical electricity quantity data includes the third electricity quantity data, and the historical carbon emission data includes the third carbon emission data, the imported electricity quantity corresponds to at least one importing country, and the third electricity quantity data includes import data of each of the at least one importing country, and the calculating the historical carbon emission data based on the historical electricity quantity data includes:

[0074] Obtain the fourth carbon emission factor corresponding to each importing country;

[0075] Calculating the third carbon emission data based on the fourth carbon emission factor and import data corresponding to each importing country;

[0076] The third carbon emission data is calculated based on the fourth carbon emission factor and import data corresponding to each importing country, and is expressed by the following formula:

[0077]

[0078] In the formula, Em k,in,i is the third carbon emission data, k is the number of the at least one importing country, EF k is the fourth carbon emission factor corresponding to each importing country, E k,in,i Import data for each importing country mentioned.

[0079] The fourth carbon emission factor is the carbon emission factor of the importing country. The fourth carbon emission factor is calculated based on the historical electricity data and historical carbon emission data of the importing country. The calculation process is the same as the method of calculating the first carbon emission factor in the target area.

[0080] It should be noted that the fourth carbon emission factors of different importing countries are different. It is necessary to calculate carbon emissions for each importing country separately and then sum them up to obtain the third carbon emission data.

[0081] In an embodiment of the present invention, the fourth carbon emission factor corresponding to each importing country is obtained; the third carbon emission data is calculated based on the fourth carbon emission factor corresponding to each importing country and the import data, thereby realizing the calculation of carbon emissions generated by imported electricity.

[0082] In one embodiment, the historical electricity data includes fourth electricity data of renewable energy power generation and nuclear power generation; and calculating the first carbon emission factor in the target area based on the historical carbon emission data and the historical electricity data includes:

[0083] Calculating a difference between the historical power data and the fourth power data;

[0084] The quotient of the historical carbon emission data and the difference is set as the first carbon emission factor.

[0085] In the embodiments of the present invention, renewable energy generation and nuclear power generation do not generate carbon emissions. Figure 3 As shown, in the process of calculating the first carbon emission factor, removing the fourth electricity data generated by renewable energy power generation and nuclear power generation can further improve the accuracy of the calculated first carbon emission factor.

[0086] The difference between the historical power data and the fourth power data is calculated, which is specifically expressed by the following formula:

[0087]

[0088] E in the formula net,i is the historical electricity data, E grid,i is the first current data, E j,in,i The corresponding inflow data for each area, E k,in,i Import data for each importing country, EG i This is the fourth power data.

[0089] The fourth electricity data is the sum of the electricity data of renewable energy power generation and the electricity data of nuclear power generation.

[0090] See also Figure 4 , Figure 4 is a structural diagram of a carbon emission prediction device provided by an embodiment of the present invention, such as Figure 4 As shown, the carbon emission prediction device 400 includes:

[0091] An acquisition module 401 is used to acquire historical power data in a target area and target power generation data of the target area in a target time period;

[0092] A first calculation module 402, configured to calculate historical carbon emission data based on the historical electricity data;

[0093] A second calculation module 403, configured to calculate a first carbon emission factor in the target area based on the historical carbon emission data and the historical electricity data;

[0094] The prediction module 404 is used to predict the target carbon emission data of the target area in the target time period based on the target power generation data and the first carbon emission factor.

[0095] In one embodiment, the historical electricity data includes at least one of first electricity data generated by fossil energy power generation, second electricity data of net inflow from other regional power grids, third electricity data of imports, and fourth electricity data of renewable energy power generation and nuclear power generation;

[0096] The historical carbon emission data includes at least one of the first carbon emission data generated by the fossil energy power generation, the second carbon emission data generated by the net inflow of electricity from the other regional power grids, and the third carbon emission data generated by the imported electricity;

[0097] Among them, when the historical power data includes at least two of the first power data, the second power data, the third power data and the fourth power data, the historical power data is the sum of at least two of the first power data, the second power data, the third power data and the fourth power data.

[0098] In one embodiment, when the historical electricity data includes the first electricity data, and the historical carbon emission data includes the first carbon emission data, the fossil energy includes at least one fossil fuel, and the first electricity data includes fossil power generation data corresponding to each fossil fuel in the at least one fossil fuel, the first calculation module 402 includes:

[0099] A first acquisition unit is used to acquire an average lower calorific value corresponding to each fossil fuel and a second carbon emission factor of the fossil fuel;

[0100] A first calculation unit, configured to calculate the consumption corresponding to each fossil fuel based on the corresponding fossil power generation data;

[0101] A second calculation unit, configured to calculate the first carbon emission data based on the fossil fuel consumption, the average lower calorific value, and the second carbon emission factor corresponding to each fossil fuel;

[0102] The first carbon emission data is calculated based on the fossil fuel consumption, the average lower calorific value and the second carbon emission factor corresponding to each fossil fuel, and is represented by the following formula:

[0103]

[0104] In the formula, Em grid,i is the first carbon emission data, m is the amount of fossil fuels included in the fossil energy, FC m NCV is the consumption of each fossil fuel. m is the average lower calorific value corresponding to each fossil fuel, is the second carbon emission factor corresponding to each of the fossil fuels.

[0105] In one embodiment, when the historical electricity data includes the second electricity data, and the historical carbon emission data includes the second carbon emission data, the other regions include at least one region, and the second electricity data includes inflow electricity data corresponding to each region in the at least one region, the first calculation module 402 includes:

[0106] A second acquisition unit, used to acquire a third carbon emission factor corresponding to each region;

[0107] a third calculation unit, configured to set the product of the corresponding inflow electricity data and the third carbon emission factor as the carbon emission data of each region;

[0108] The fourth calculation unit is used to set the sum of the carbon emission data of each region as the second carbon emission data.

[0109] In one embodiment, when the historical electricity data includes the third electricity data, and the historical carbon emission data includes the third carbon emission data, the imported electricity corresponds to at least one importing country, and the third electricity data includes import data of each of the at least one importing country, the first calculation module 402 includes:

[0110] A third acquisition unit is used to acquire a fourth carbon emission factor corresponding to each importing country;

[0111] A fifth calculation unit, configured to calculate the third carbon emission data based on the fourth carbon emission factor and import data corresponding to each importing country;

[0112] The third carbon emission data is calculated based on the fourth carbon emission factor and import data corresponding to each importing country, and is expressed by the following formula:

[0113]

[0114] In the formula, Em k,in,i is the third carbon emission data, k is the number of the at least one importing country, EF k is the fourth carbon emission factor corresponding to each importing country, Ek,in,i Import data for each importing country mentioned.

[0115] In one embodiment, the historical electricity data includes fourth electricity data of renewable energy power generation and nuclear power generation; the second calculation module 403 includes:

[0116] a sixth calculating unit, configured to calculate a difference between the historical power data and the fourth power data;

[0117] A seventh calculation unit is used to set the quotient of the historical carbon emission data and the difference as the first carbon emission factor.

[0118] In one embodiment, the prediction module 404 includes:

[0119] A prediction unit is used to set the product of the target power generation data and the first carbon emission factor as the target carbon emission data.

[0120] The carbon emission prediction device provided in the embodiment of the present invention is capable of implementing each process of each embodiment of the above-mentioned carbon emission prediction method. The technical features correspond one to one and can achieve the same technical effect. To avoid repetition, they will not be described here.

[0121] It should be noted that the carbon emission prediction device in the embodiment of the present invention may be a device, or a component, an integrated circuit, or a chip in an electronic device.

[0122] The embodiment of the present invention further provides an electronic device, see Figure 5 , Figure 5 is a schematic diagram of the structure of an electronic device provided by the present invention, the electronic device includes a memory 501, a processor 502 and a program or instruction stored in the memory 501 and running on the memory 501. When the program or instruction is executed by the processor 502, Figure 1 Any steps in the corresponding method embodiments and achieving the same beneficial effects will not be repeated here.

[0123] The processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or a complex programmable logic device (CPLD).

[0124] Those skilled in the art will appreciate that all or part of the steps of implementing the above-mentioned embodiment method can be completed by hardware associated with program instructions, and the program can be stored in a readable medium.

[0125] The embodiment of the present invention further provides a readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the above Figure 1 Any steps in the corresponding method embodiments can achieve the same technical effect, and will not be repeated here to avoid repetition. The storage medium is, for example, a read-only memory (ROM), a random access memory (RAM), a magnetic disk or an optical disk.

[0126] The embodiment of the present invention also provides a computer program product, including computer instructions, which can achieve the above-mentioned Figure 1 Any steps in the corresponding method embodiments can achieve the same technical effect and will not be described again here to avoid repetition.

[0127] The terms "first", "second" etc. in the embodiments of the present invention are used to distinguish similar objects, and need not be used to describe a specific order or sequential order. In addition, the terms "include" and "have" and any of their variations are intended to cover non-exclusive inclusions, for example, the process, method, system, product or equipment comprising a series of steps or units need not be limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or equipment. In addition, "and / or" is used in the present invention to represent at least one of the connected objects, such as A and / or B and / or C, which means to include 7 situations including single A, single B, single C, and A and B all exist, B and C all exist, A and C all exist, and A, B and C all exist.

[0128] It should be noted that, in this article, the terms "include", "comprises" or any other variations thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, an element defined by the sentence "comprises a ..." does not exclude the existence of other identical elements in the process, method, article or device including the element.

[0129] Through the description of the above implementation methods, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is a better implementation method. Based on such an understanding, the technical solution of the present invention, or the part that contributes to the prior art, can be embodied in the form of a software product, which is stored in a storage medium (such as ROM / RAM, a magnetic disk, or an optical disk), and includes a number of instructions for a terminal (which can be a mobile phone, a computer, a server, an air conditioner, or a second terminal device, etc.) to execute the methods of various embodiments of the present invention.

[0130] The embodiments of the present invention are described above in conjunction with the accompanying drawings, but the present invention is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the enlightenment of the present invention, ordinary technicians in this field can also make many forms without departing from the scope of protection of the purpose of the present invention and the claims, all of which are within the protection of the present invention.

Claims

1. A carbon emission prediction method, characterized in that: include: Acquire historical electricity data in a target area and target power generation data of the target area in a target time period; Calculating historical carbon emission data based on the historical electricity data; Calculating a first carbon emission factor within the target area based on the historical carbon emission data and the historical electricity data; Based on the target power generation data and the first carbon emission factor, target carbon emission data of the target area in the target time period is predicted.

2. The method according to claim 1, characterized in that The historical electricity data includes at least one of first electricity data generated by fossil energy power generation, second electricity data of net inflow from other regional power grids, third electricity data of imports, and fourth electricity data of renewable energy power generation and nuclear power generation; The historical carbon emission data includes at least one of the first carbon emission data generated by the fossil energy power generation, the second carbon emission data generated by the net inflow of electricity from the other regional power grids, and the third carbon emission data generated by the imported electricity; Among them, when the historical power data includes at least two of the first power data, the second power data, the third power data and the fourth power data, the historical power data is the sum of at least two of the first power data, the second power data, the third power data and the fourth power data.

3. The method according to claim 2, characterized in that In a case where the historical electricity data includes the first electricity data, and the historical carbon emission data includes the first carbon emission data, the fossil energy includes at least one fossil fuel, and the first electricity data includes fossil power generation data corresponding to each fossil fuel in the at least one fossil fuel, and the calculating the historical carbon emission data based on the historical electricity data includes: Obtaining an average lower calorific value corresponding to each fossil fuel and a second carbon emission factor of the fossil fuel; The corresponding consumption of each fossil fuel calculated based on the corresponding fossil power generation data; Calculate the first carbon emission data based on the fossil fuel consumption, the average lower calorific value, and the second carbon emission factor corresponding to each fossil fuel; The first carbon emission data is calculated based on the fossil fuel consumption, the average lower calorific value and the second carbon emission factor corresponding to each fossil fuel, and is represented by the following formula: Em in the formula grid,i is the first carbon emission data, m is the amount of fossil fuels included in the fossil energy, FC m NCV is the consumption of each fossil fuel. m is the average lower calorific value corresponding to each fossil fuel, is the second carbon emission factor corresponding to each of the fossil fuels.

4. The method according to claim 2, characterized in that: In a case where the historical electricity data includes the second electricity data, and the historical carbon emission data includes the second carbon emission data, the other regions include at least one region, the second electricity data includes inflow electricity data corresponding to each region of the at least one region, and the calculating the historical carbon emission data based on the historical electricity data includes: Obtaining the third carbon emission factor corresponding to each region; The product of the corresponding inflow electricity data and the third carbon emission factor is set as the carbon emission data of each region; The sum of the carbon emission data of each region is set as the second carbon emission data.

5. The method according to claim 2, characterized in that: In a case where the historical electricity quantity data includes the third electricity quantity data, and the historical carbon emission data includes the third carbon emission data, the imported electricity quantity corresponds to at least one importing country, and the third electricity quantity data includes import data of each of the at least one importing country, and the calculating the historical carbon emission data based on the historical electricity quantity data includes: Obtain the fourth carbon emission factor corresponding to each importing country; Calculating the third carbon emission data based on the fourth carbon emission factor and import data corresponding to each importing country; The third carbon emission data is calculated based on the fourth carbon emission factor and import data corresponding to each importing country, and is expressed by the following formula: Em in the formula k,in,i is the third carbon emission data, k is the number of the at least one importing country, EF k is the fourth carbon emission factor corresponding to each importing country, E k,in,i Import data for each importing country mentioned.

6. The method according to any one of claims 1 to 5, characterized in that The historical electricity data includes fourth electricity data of renewable energy power generation and nuclear power generation; and the calculating the first carbon emission factor in the target area based on the historical carbon emission data and the historical electricity data includes: Calculating a difference between the historical power data and the fourth power data; The quotient of the historical carbon emission data and the difference is set as the first carbon emission factor.

7. The method according to any one of claims 1 to 5, characterized in that The predicting, based on the target power generation data and the first carbon emission factor, to obtain the target carbon emission data of the target area in the target time period includes: The product of the target power generation data and the first carbon emission factor is set as the target carbon emission data.

8. An electronic device, characterized in that: The method comprises a processor, a memory and a computer program stored in the memory and executable on the processor, wherein the computer program, when executed by the processor, implements the steps in the carbon emission prediction method as claimed in any one of claims 1 to 7.

9. A readable storage medium for storing a program, characterized in that: When the program is executed by a processor, the steps of the carbon emission prediction method according to any one of claims 1 to 7 are implemented.

10. A computer program product, characterized in that The method comprises computer instructions, which, when executed by a processor, implement the steps of the carbon emission prediction method according to any one of claims 1 to 7.

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