Carbon emission factor determination method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a carbon emission factor determination method and device, equipment and a storage medium. Dividing the area with the relatively large land area into a plurality of subareas with relatively small land areas; the carbon emission factor of each subarea can be determined based on the flowing electric quantity, the electric energy production and the carbon emission of the plurality of subareas. The district is divided into the subareas, so that the carbon emission conditions of the different subareas can be evaluated more finely. The flowing electric quantity, the generating capacity and the electricity consumption of each partition are taken into consideration, the carbon emission of each partition can be calculated more accurately, and the corresponding carbon emission factor is obtained. And according to the carbon emission factor of each subarea, formulating an energy-saving and emission-reducing strategy for different subareas.

Description

Technical Field

[0001] The present application relates to the technical field of power systems, and in particular to a method, apparatus, device, and storage medium for determining a carbon emission factor. Background Art

[0002] Carbon emission factors are commonly used to measure carbon dioxide emissions per unit of energy or product, usually expressed as carbon dioxide emissions per unit of energy or product.

[0003] The power system is a major source of carbon emissions. With rising environmental awareness in recent years, society has placed increasing emphasis on energy conservation and emission reduction. As a key, energy-intensive sector reliant on traditional energy sources, the power system is a key area and a crucial component of energy conservation and emission reduction efforts. Carbon emission factors are crucial for analyzing energy conservation and emission reduction strategies within the power system and for measuring its carbon emissions.

[0004] Currently, multiple carbon emission factor calculation systems exist in China, such as the average grid carbon emission factor and the baseline grid emission factor. However, these existing carbon emission factor calculation systems are crude, resulting in inaccurate carbon emission factors that cannot accurately measure regional carbon dioxide emissions. This makes them of limited value for energy conservation and emission reduction strategies for power systems and for carbon emission measurement. Summary of the Invention

[0005] In view of this, embodiments of the present application provide a method, apparatus, device, and storage medium for determining a carbon emission factor, aiming to solve the problem of inaccurate calculation of the carbon emission factor.

[0006] In a first aspect, an embodiment of the present application provides a method for determining a carbon emission factor, the method comprising:

[0007] Obtaining the flow of electricity, power generation, and carbon emissions of each sub-area within the area; the flow of electricity includes electricity flowing from other sub-areas within the area into the sub-area and electricity flowing from the sub-area to other sub-areas within the area, and the land area of ​​the sub-area is smaller than the land area of ​​the area;

[0008] A first carbon emission factor of each partition is determined according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition.

[0009] In a possible implementation, determining the first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emissions of each partition includes:

[0010] Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition;

[0011] Determining a flow power matrix according to the flow power of each partition and the power generation of each partition, wherein the flow power matrix includes the flow power of each partition and the power generation of each partition;

[0012] Determining a total power generation coefficient matrix using the flow power matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of each partition;

[0013] Obtaining a first carbon emission factor matrix according to the power generation carbon emission factor matrix, the flow power matrix, and the total power generation coefficient matrix, wherein the first carbon emission factor matrix includes the first carbon emission factor of each partition;

[0014] The first carbon emission factor of the partition is obtained through the first carbon emission factor matrix.

[0015] In a possible implementation, determining the power generation carbon emission factor matrix based on the power generation of each partition and the carbon emission of each partition includes:

[0016] Determining a power generation carbon emission factor for the partition based on the power generation of the partition and the carbon emissions of the partition;

[0017] The power generation carbon emission factor matrix is ​​determined according to the power generation carbon emission factors of each partition.

[0018] In a possible implementation, determining a total power generation coefficient matrix using the flow power matrix includes:

[0019] Determine the total power generation of each partition based on the flow power matrix, where the total power generation is the sum of the power generation of the partition and the power flowing into the partition from other partitions in the area;

[0020] The total power generation coefficient matrix is ​​determined according to the total power generation of each partition, and the total power generation coefficient is the inverse of the total power generation.

[0021] In a possible implementation, determining the first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, and the electricity consumption of each partition includes:

[0022] Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition;

[0023] A first carbon emission factor of the partition is determined according to the flow amount of the partition, the power generation of the partition, and the power generation carbon emission factor matrix.

[0024] In a possible implementation, the method further includes:

[0025] Obtaining the green electricity trading volume between the zones;

[0026] A second carbon emission factor is determined based on the first carbon emission factor and the green electricity trading volume between the partitions. The second carbon emission factor is a power supply carbon emission factor that takes green electricity trading into account.

[0027] In a possible implementation, determining the second carbon emission factor according to the first carbon emission factor and the green electricity trading volume between the zones includes:

[0028] A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs;

[0029] Determine a second carbon emission factor matrix based on the partition green electricity purchase matrix, the partition green electricity sales matrix, the total power generation coefficient matrix, and the first carbon emission factor matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of the partitions, and the first carbon emission factor matrix includes the first carbon emission factors of the partitions;

[0030] The second carbon emission factor of the partition is obtained through the second carbon emission factor matrix.

[0031] In a possible implementation, determining the second carbon emission factor according to the first carbon emission factor and the green electricity trading volume between the zones includes:

[0032] A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs;

[0033] The second carbon emission factor is determined based on the green electricity purchase matrix of the partition, the green electricity sales matrix of the partition, the first power generation carbon emission factor matrix and the flow electricity matrix; the first carbon emission factor matrix includes the first carbon emission factor of each partition; the flow electricity matrix includes the flow electricity of each partition and the power generation of each partition.

[0034] In a possible implementation, the method further includes:

[0035] Obtaining a second carbon emission factor for a partition and user electricity consumption and user green electricity purchase amounts of at least two users in the partition;

[0036] Determine a first ratio and a second ratio for the user, where the first ratio is the ratio of the user's green electricity purchases to the user's electricity consumption, and the second ratio is the ratio of the user's green electricity purchases to the partition electricity consumption, where the partition electricity consumption is the sum of the user electricity consumption of other users in the partition to which the user belongs and the electricity flowing from the partition to which the user belongs to other partitions;

[0037] The carbon emission factor of the user is determined according to the first ratio, the second ratio, and the second carbon emission factor.

[0038] In a second aspect, an embodiment of the present application provides a device for determining a carbon emission factor, the device comprising:

[0039] an acquisition module, configured to acquire the flow of electricity, power generation, and carbon emissions of each sub-area within the area; the flow of electricity includes electricity flowing from other sub-areas within the area into the sub-area and electricity flowing from the sub-area to other sub-areas within the area, and the land area of ​​the sub-area is smaller than the land area of ​​the area;

[0040] The determination module is configured to determine a first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition.

[0041] In a possible implementation, the determining module is specifically configured to:

[0042] Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition;

[0043] Determining a flow power matrix according to the flow power of each partition and the power generation of each partition, wherein the flow power matrix includes the flow power of each partition and the power generation of each partition;

[0044] Determining a total power generation coefficient matrix using the flow power matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of each partition;

[0045] Obtaining a first carbon emission factor matrix according to the power generation carbon emission factor matrix, the flow power matrix, and the total power generation coefficient matrix, wherein the first carbon emission factor matrix includes the first carbon emission factor of each partition;

[0046] The first carbon emission factor of the partition is obtained through the first carbon emission factor matrix.

[0047] In a possible implementation, the determining module is specifically configured to:

[0048] Determining a power generation carbon emission factor for the partition based on the power generation of the partition and the carbon emissions of the partition;

[0049] The power generation carbon emission factor matrix is ​​determined according to the power generation carbon emission factors of each partition.

[0050] In a possible implementation, the determining module is specifically configured to:

[0051] Determine the total power generation of each partition based on the flow power matrix, where the total power generation is the sum of the power generation of the partition and the power flowing into the partition from other partitions in the area;

[0052] The total power generation coefficient matrix is ​​determined according to the total power generation of each partition, and the total power generation coefficient is the inverse of the total power generation.

[0053] In a possible implementation, the determining module is specifically configured to:

[0054] Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition;

[0055] A first carbon emission factor of the partition is determined according to the flow amount of the partition, the power generation of the partition, and the power generation carbon emission factor matrix.

[0056] In a possible implementation, the apparatus further includes a partitioned first green electricity calculation module, configured to:

[0057] Obtaining the green electricity trading volume between the zones;

[0058] A second carbon emission factor is determined based on the first carbon emission factor and the green electricity trading volume between the partitions. The second carbon emission factor is a power supply carbon emission factor that takes green electricity trading into account.

[0059] In a possible implementation, the first green electricity calculation module is specifically configured to:

[0060] A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs;

[0061] Determine a second carbon emission factor matrix based on the partition green electricity purchase matrix, the partition green electricity sales matrix, the total power generation coefficient matrix, and the first carbon emission factor matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of the partitions, and the first carbon emission factor matrix includes the first carbon emission factors of the partitions;

[0062] The second carbon emission factor of the partition is obtained through the second carbon emission factor matrix.

[0063] In a possible implementation, the first green electricity calculation module is specifically configured to:

[0064] A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs;

[0065] The second carbon emission factor is determined based on the green electricity purchase matrix of the partition, the green electricity sales matrix of the partition, the first power generation carbon emission factor matrix and the flow electricity matrix; the first carbon emission factor matrix includes the first carbon emission factor of each partition; the flow electricity matrix includes the flow electricity of each partition and the power generation of each partition.

[0066] In a possible implementation, the apparatus further includes a second green electricity calculation module, configured to:

[0067] Obtain the user electricity consumption and user green electricity purchase amount of at least two users in the partition;

[0068] Determine a first ratio and a second ratio for the user, where the first ratio is the ratio of the user's green electricity purchases to the user's electricity consumption, and the second ratio is the ratio of the user's green electricity purchases to the partition electricity consumption, where the partition electricity consumption is the sum of the user electricity consumption of other users in the partition to which the user belongs and the electricity flowing from the partition to which the user belongs to other partitions;

[0069] The carbon emission factor of the user is determined according to the first ratio and the second ratio.

[0070] In a third aspect, an embodiment of the present application provides a device comprising a memory and a processor, wherein the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method for determining the carbon emission factor described in any one of the first aspects above.

[0071] In a fourth aspect, an embodiment of the present application provides a computer storage medium having a code stored therein. When the code is executed, the device executing the code implements the method for determining the carbon emission factor as described in any one of the first aspects above.

[0072] The embodiments of the present application provide a method, apparatus, device and storage medium for determining a carbon emission factor. An area with a relatively large land area is divided into multiple sub-areas with relatively small land areas; the carbon emission factor of each sub-area can be determined based on the flow electricity, power generation and carbon emissions of the multiple sub-areas. By dividing the area into sub-areas, the carbon emissions of different sub-areas can be evaluated more finely. Taking into account the flow electricity, power generation and carbon emissions of each sub-area, the carbon emission factor of each sub-area can be calculated more accurately. Then, based on the carbon emission factor of each sub-area, energy-saving and emission reduction strategies are formulated for different sub-areas. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] In order to more clearly illustrate the technical solutions in this embodiment or the prior art, the following briefly introduces the drawings required for use in the embodiment or the prior art description. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work.

[0074] Figure 1 A flow chart of a method for determining a carbon emission factor provided in an embodiment of the present application;

[0075] Figure 2 A flowchart of another method for determining a carbon emission factor provided in an embodiment of the present application;

[0076] Figure 3 A flowchart of another method for determining a carbon emission factor provided in an embodiment of the present application;

[0077] Figure 4 A schematic diagram of the structure of a device for determining a carbon emission factor provided in an embodiment of the present application. DETAILED DESCRIPTION

[0078] Obviously, the embodiments described in this application are only a part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0079] As a key parameter for measuring carbon emissions from power systems, the accuracy of the carbon emission factor is crucial. Accurate carbon emission factors are crucial for ensuring scientific and rational decision-making in energy policymaking, carbon emission monitoring, and the implementation of emission reduction measures.

[0080] However, current methods for calculating carbon emission factors still have some issues, resulting in inaccurate carbon emission factors. This inaccuracy makes it difficult to measure regional CO2 emissions and reduces their value as a reference for energy conservation and emission reduction strategies in power systems and for carbon emission measurement.

[0081] To address this technical issue, embodiments of the present application provide a method, apparatus, device, and storage medium for determining a carbon emission factor. This method divides a relatively large area into multiple smaller subareas. Based on the flow of electricity, power generation, and carbon emissions for each subarea, the carbon emission factor for each subarea can be determined.

[0082] By dividing the area into zones, we can more precisely assess the carbon emissions of each zone. Taking into account the flow of electricity, power generation, and carbon emissions in each zone, we can more accurately calculate the carbon emission factor for each zone. Based on each zone's carbon emission factor, we can then develop energy-saving and emission-reduction strategies tailored to each zone.

[0083] like Figure 1 The flowchart shown, Figure 1 A flow chart of a method for determining a carbon emission factor provided in an embodiment of the present application includes:

[0084] S101: Obtain the flow electricity, power generation and carbon emissions of each zone in the area.

[0085] The land area of ​​a sub-zone is smaller than the land area of ​​a sub-district. A sub-district can be divided into at least two sub-zones, which can be based on the sub-zone's geographic location and topographical features, or based on the grid system's management area. Each sub-zone is an independently operated power supply zone. The land area of ​​each sub-zone may be the same or different, and the sum of the land areas of all sub-zones within the same sub-zone equals the land area of ​​the sub-zone.

[0086] By subdividing larger areas into smaller areas, we can more accurately assess the carbon emissions of each small area, understand the differences in energy utilization and carbon emissions between regions, and facilitate the formulation of targeted emission reduction measures.

[0087] Calculating carbon emissions for sub-areas with smaller land areas can enable managers to better understand the energy usage and carbon emission levels of each sub-area, conduct targeted management and monitoring, and promote effective carbon emission management and resource utilization.

[0088] Flowing electricity includes electricity flowing into a zone from other zones within the same area and electricity flowing from a zone to other zones within the same area. Flowing electricity refers to the electricity flowing between a zone and other zones within the same area, either inflow or outflow.

[0089] The unit of flow electricity is megawatt-hour (MWh). The flow electricity can be expressed as Q ij Indicates that i is the i-th partition, j is the j-th partition, Q ij represents the flow of electricity between the i-th partition and the j-th partition. ij When it is greater than zero, it means the amount of electricity flowing from the i-th partition to the j-th partition, Q ij When it is less than zero, it means the amount of electricity flowing into the i-th partition from the j-th partition, Q ij When it is zero, it means that there is no flow of electricity between the i-th partition and the j-th partition. i and j are both greater than zero and less than N, where N is the number of partitions obtained by dividing the area, and N is greater than or equal to 2.

[0090] The power generation is the total power generation in the zone, and the unit of power generation is megawatt-hour (MWh). 发i It should be noted that the flow of electricity Q ii Represents the power generation of the i-th partition, that is, the flow of electricity Q ii Equal to the power generation Q 发i Similarly, the flow of electricity Q jj Represents the power generation of the jth partition, that is, the flow of electricity Q jj Equal to the power generation Q 发j .

[0091] Carbon emissions are the carbon emissions generated by all power equipment within the geographical area of ​​the zone, which can be expressed as C 发 In one implementation, the power equipment may include power generation equipment for generating electric energy; in another implementation, the power equipment may include power generation equipment for generating electric energy and power transmission and transformation equipment that may generate greenhouse gases.

[0092] It should be noted that the flow electricity, power generation, and carbon emissions for each zone are all within the same time period. For example, the flow electricity, power generation, and carbon emissions for each zone in December 2023; or the flow electricity, power generation, and carbon emissions for each zone on December 1, 2023; or the flow electricity, power generation, and carbon emissions for each zone from 8:00 on December 1, 2023 to 9:00 on December 1, 2023.

[0093] S102: Determine a first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition.

[0094] After obtaining the flow of electricity, power generation, and carbon emissions for each zone within the same time period, the first carbon emission factor for each zone within the area can be determined based on this data. The first carbon emission factor is the power supply carbon emission factor for the zone, which is used to measure the carbon emissions generated by the power supply to the zone.

[0095] The first carbon emission factor for each zone allows for targeted energy conservation and emission reduction strategies for that zone. Compared to simply calculating the carbon emission factor for the entire area, the first carbon emission factor provides greater precision. Furthermore, by calculating the first carbon emission factor for each zone, it fully accounts for differences in energy utilization and carbon emissions between zones, allowing for effective zone-specific strategies and improving the reliability of the carbon emission factor.

[0096] In the embodiment of the present application, two implementation methods are proposed for determining the first carbon emission factor of the partition in step S102, which are described below. It should be noted that the implementation methods described below are only exemplary and do not represent all implementation methods of the embodiment of the present application.

[0097] In a possible implementation, the process of determining the first carbon emission factor of each zone according to the flow electricity of each zone, the power generation of each zone and the carbon emission of each zone can be as follows: Figure 2 As shown, the process includes:

[0098] S201: Determine a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emission of each partition.

[0099] The carbon emission factor of each partition, that is, the carbon emission factor generated by power generation, can be calculated based on the power generation Q of the partition. 发i and the carbon emissions of the zone, C 发i Determine. Determine the carbon emission factor for power generation in the sub-region based on the power generation and carbon emissions of the sub-region;

[0100] The carbon emission factor for electricity generation in the i-th zone is available as γ i express.

[0101]

[0102] The power generation carbon emission factor matrix includes the power generation carbon emission factors of each sub-area. The power generation carbon emission factor of each sub-area is the ratio between the carbon emissions of the sub-area and the power generation of the sub-area. After determining the power generation carbon emission factors of each sub-area within the area, the power generation carbon emission factor matrix is ​​determined based on the power generation carbon emission factors of each sub-area. The power generation carbon emission factor matrix of the area can be expressed as:

[0103] γ 发 =[γ 发1 γ 发2 … γ 发N ].

[0104] S202: Determine a flow power matrix according to the flow power of each partition and the power generation of each partition.

[0105] The flow power matrix includes the flow power of each partition and the power generation of each partition. The flow power matrix can be used to determine the flow power between each partition and the power generation of each partition. 流 It can be expressed as:

[0106]

[0107] S203: Determine the total power generation coefficient matrix using the flow power matrix.

[0108] The total power generation coefficient matrix includes the total power generation coefficient of each partition. The total power generation coefficient can be determined based on the total power generation of the partition. The total power generation of the partition includes the power generation Q of the partition itself 发i The total power generation of a zone is the sum of the power generation of the zone and the power flowing into the zone from other zones within the zone.

[0109] First, the total power generation of each partition can be determined based on the flow power matrix. The total power generation of the i-th partition can be expressed as: When j equals i, Q ji is the power generation of the i-th partition, when j is not equal to i, and Q ji >0, Q ji is the amount of electricity flowing from the j-th partition to the i-th partition.

[0110] Then, the total power generation coefficient matrix is ​​determined according to the total power generation of each partition, and the total power generation coefficient of the partition is the inverse of the total power generation of the partition.

[0111] The total power generation coefficient matrix can be expressed as:

[0112]

[0113] S204: Obtain a first carbon emission factor matrix according to the power generation carbon emission factor matrix, the flow power matrix, and the total power generation coefficient matrix.

[0114] The first carbon emission factor matrix includes the first carbon emission factors of each partition. The power generation carbon emission factor matrix γ obtained through the above steps S201-S203 发 , flow electricity matrix Q 流 And the total power generation coefficient matrix Q 发 The first carbon emission factor matrix γ can be obtained i The first carbon emission factor matrix γ i The calculation process is:

[0115] γ i =γ 发 ×Q 流 ×Q 发 .

[0116] The first carbon emission factor matrix γ i Expressed as:

[0117] γ i =[γ1 γ2 … γ N ].

[0118] S205: Obtain the first carbon emission factor of the partition through the first carbon emission factor matrix.

[0119] After obtaining the first carbon emission factor matrix γ i After that, the first carbon emission factor of any sub-area in the area can be obtained.

[0120] Through steps S201-S205, the first carbon emission factor for each zone is determined by combining the amount of electricity flowing between the zones, the amount of power generated, and the amount of carbon emissions. This allows for a detailed assessment of the carbon emissions of different zones within the zone, and then, based on each zone's carbon emission factor, energy conservation and emission reduction strategies can be formulated for each zone. Furthermore, when calculating the first carbon emission factor, not only the carbon emissions and power generation of a zone itself are considered, but also the amount of electricity flowing between other zones within the zone. This comprehensive calculation allows for a more accurate determination of the first carbon emission factor for each zone.

[0121] In another possible implementation, the process of determining the first carbon emission factor of each zone according to the flow electricity of each zone, the power generation of each zone, and the carbon emission of each zone may also be:

[0122] First, the power generation carbon emission factor matrix γ is determined based on the power generation and carbon emissions of each partition. 发 ; Determine the power generation carbon emission factor matrix γ 发The process can refer to step S201.

[0123] Then, according to the flow of electricity in the partition, the power generation in the partition and the power generation carbon emission factor matrix γ 发 Determine the first carbon emission factor for the sub-region.

[0124] The first carbon emission factor of the i-th partition can be expressed as:

[0125]

[0126] Among them, Q in the molecule ji It represents the flow of electricity between the jth partition and the ith partition. When i is equal to j, Q ji is the power generation of the ith partition; represents the carbon emission factor of power generation in the jth partition γ 发j , when i equals j, is the carbon emission factor of power generation in the i-th partition γ 发i ; Q in the denominator ji (Q ji >0) represents the amount of electricity flowing from the jth partition to the ith partition.

[0127] The above method can calculate the first carbon emission factor of this partition by combining the flow of electricity between this partition and other partitions in the area, and accurately determine the first carbon emission factor of the partition by referring to the flow of electricity between other partitions in the area and this partition.

[0128] Because some of the electricity consumption in each zone is green electricity, which is generated by renewable energy, the carbon emissions corresponding to green electricity are 0. However, related technologies do not consider the impact of renewable energy generation on the carbon emission factor when calculating the carbon emission factor, resulting in inaccurate carbon emission factors.

[0129] In this regard, after calculating the first carbon emission factor, the embodiment of the present application further combines the green electricity trading volume between zones to calculate the power supply carbon emission factor of the green electricity trading, including:

[0130] Obtain the green electricity trading volume between each zone;

[0131] The second carbon emission factor is determined based on the first carbon emission factor and the green electricity trading volume among each zone. The second carbon emission factor is the power supply carbon emission factor that takes green electricity trading into account.

[0132] The unit of green electricity trading volume is megawatt-hour (MWh). ij Indicates that i is the i-th partition, j is the j-th partition, R ij represents the green electricity trading volume between the i-th partition and the j-th partition. ijWhen it is greater than zero, it means the green electricity sold by the i-th partition to the j-th partition, R ij When it is less than zero, it means that the green electricity purchased by the i-th partition from the j-th partition, R ij When it is zero, it means there is no green power trading between the i-th partition and the j-th partition. i and j are both greater than zero and less than N, where N is the number of partitions obtained by dividing the area, and N is greater than or equal to 2.

[0133] In the embodiment of the present application, the green electricity trading volume within the partition is not considered. Therefore, when i is equal to j, R ij is 0.

[0134] The green electricity trading volume, circulating electricity volume, power generation and carbon emissions are data from the same time period.

[0135] After obtaining the green electricity trading volume, the second carbon emission factor of any sub-area within the area can be determined based on the green electricity trading volume and the first carbon emission factor. The first carbon emission factor is the power supply carbon emission factor of the sub-area without taking green electricity trading into account.

[0136] In the embodiment of the present application, the introduction of green electricity trading volume enables the calculated carbon emission factor to more accurately reflect the power supply situation of the partition. By considering the impact of green electricity on power supply, the carbon emission factor of the partition can be calculated more accurately, and the carbon emission situation of the partition can be further accurately evaluated.

[0137] In a possible implementation, the process of determining the second carbon emission factor based on the first carbon emission factor and the green electricity trading volume between each zone can be as follows: Figure 3 As shown, the process includes:

[0138] S301: Obtaining a partition green electricity purchase matrix and a partition green electricity sale matrix according to the green electricity transaction volume between each partition.

[0139] The partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs.

[0140] After obtaining the green electricity transaction volume between multiple partitions, the green electricity transaction volume can be recorded as the green electricity transaction matrix R 交易 , green electricity trading matrix R 交易 It can be expressed as:

[0141]

[0142] Then, the green electricity transaction matrix R 交易 Split it and get the partition purchase green electricity matrix and partition sale green electricity matrix. The partition purchase green electricity matrix is ​​the green electricity transaction matrix R 交易The set of matrices with values ​​greater than zero, the partitioned green electricity sales matrix is ​​the green electricity transaction matrix R 交易 The set of matrices whose values ​​are less than zero.

[0143] The matrix of green electricity purchase by region can be expressed as:

[0144]

[0145] The matrix of green electricity purchase by region can be expressed as:

[0146]

[0147] S302: Determine a second carbon emission factor matrix based on the partitioned green electricity purchase matrix, the partitioned green electricity sale matrix, the total power generation coefficient matrix, and the first carbon emission factor matrix.

[0148] Total power generation coefficient matrix Q 发 Including the total power generation coefficient of each partition, the first carbon emission factor matrix γ i Including the first carbon emission factor of each partition. Total power generation coefficient matrix Q 发 The determination method of can refer to step S203; the first carbon emission factor matrix γ i The determination method can refer to step S204.

[0149] The process of determining the second carbon emission factor matrix from the regional green electricity purchase matrix, regional green electricity sales matrix, total power generation coefficient matrix, and the first carbon emission factor matrix can be as follows:

[0150] γ 绿 =γ-γ×Q 发 ×R 购绿电 -γ×Q 发 ×R 售绿电 ;

[0151] The second carbon emission factor matrix can be expressed as:

[0152] γ 绿i =[γ 绿1 γ 绿2 … γ 绿N ].

[0153] S303: Obtain the second carbon emission factor of the partition through the second carbon emission factor matrix.

[0154] The second carbon emission factor matrix γ is obtained 绿i After that, the second carbon emission factor of any sub-area in the area can be obtained.

[0155] By introducing green electricity trading volume, the carbon emission factors of each zone can be calculated more accurately, thereby providing more reliable guidance for the formulation of emission reduction strategies.

[0156] In another possible implementation, the process of determining the second carbon emission factor based on the first carbon emission factor and the green electricity trading volume between each zone may also be:

[0157] According to the green electricity transaction volume between each zone, the zone purchase green electricity matrix and zone sale green electricity matrix are obtained;

[0158] The second carbon emission factor is determined based on the partitioned green electricity purchase matrix, the partitioned green electricity sale matrix, the first power generation carbon emission factor matrix and the flow electricity matrix.

[0159] The partitioned green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partitioned green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs; the first carbon emission factor matrix includes the first carbon emission factor of each partition; the flow electricity matrix includes the flow electricity of each partition and the power generation of each partition.

[0160] The determination process of the green electricity purchase matrix and the green electricity sale matrix of the partition can refer to step S301; the first carbon emission factor matrix γ i The determination method can refer to step S204; the flow power matrix Q 流 The determination method can refer to step S202.

[0161] The second carbon emission factor of the i-th partition can be expressed as:

[0162]

[0163] in, represents the total amount of green electricity purchased by the i-th zone from other zones in the area; represents the total amount of electricity flowing from other partitions in the area to the i-th partition; γ i is the first carbon emission factor of the i-th partition; is the sum of the electricity flowing from other partitions in the area to the jth partition; γ j is the first carbon emission factor of the jth partition.

[0164] By considering the impact of green electricity on power supply, the carbon emission factor of the sub-region can be calculated more accurately, and the carbon emission situation of the sub-region can be further accurately evaluated.

[0165] In one possible implementation, the present embodiment further provides a method for calculating a carbon emission factor for a user within a zone, the method comprising:

[0166] Obtaining a second carbon emission factor for a partition and user electricity consumption and user green electricity purchase amounts of at least two users in the partition;

[0167] determining a first ratio and a second ratio of the user;

[0168] The carbon emission factor of the user is determined according to the first ratio, the second ratio and the second carbon emission factor.

[0169] The user can be a family or an enterprise. 用x Indicates, x represents the xth user, Q 用x The amount of green electricity purchased by the user can be expressed as R 购x Indicates that R 购x Indicates the amount of green electricity purchased by the x-th user.

[0170] The first ratio is the ratio of the user's green electricity purchases to the user's electricity consumption, and the second ratio is the ratio of the user's green electricity purchases to the partition electricity consumption. The partition electricity consumption is the sum of the user electricity consumption of other users in the partition to which the user belongs and the sum of the electricity flowing from the partition to which the user belongs to other partitions.

[0171] The first ratio of the xth user can be expressed as:

[0172]

[0173] The second ratio of the x-th user can be expressed as:

[0174]

[0175] in, (Q ij >0 and i≠j) is the total amount of electricity that flows from the i-th partition to other partitions within the area to which the x-th user belongs; is the total electricity consumption of other users in the i-th partition to which the x-th user belongs; N is the number of partitions in the area, M is the number of users in the i-th partition, and both N and M are greater than or equal to 2.

[0176] The carbon emission factor of the xth user can be expressed as:

[0177]

[0178] Among them, γ 绿 i is the second carbon emission factor of the i-th partition to which the x-th user belongs.

[0179] By combining the green electricity purchased by users with their electricity consumption, the carbon emission factor can be calculated for each user in a precise manner. The user's carbon emission factor can provide data support for the carbon emission status of the user group, which is of guiding significance for formulating carbon emission reduction policies, promoting the use of renewable energy and related sustainable development plans.

[0180] The above are some specific implementations of the method for determining the carbon emission factor provided in the embodiments of this application. Based on this, this application also provides a corresponding device. The device provided in the embodiments of this application will be introduced from the perspective of functional modularization.

[0181] See also Figure 4 The structure diagram of the device 400 for determining the carbon emission factor is shown, and the device 400 includes an acquisition module 401 and a determination module 402.

[0182] Acquisition module 401 is used to obtain the flow of electricity, power generation and carbon emissions of each sub-area within the area; the flow of electricity includes the electricity flowing into the sub-area from other sub-areas within the area and the electricity flowing from the sub-area to other sub-areas within the area, and the land area of ​​the sub-area is smaller than the land area of ​​the area;

[0183] The determination module 402 is configured to determine a first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition.

[0184] An embodiment of the present application provides a device for determining a carbon emission factor. An area with a relatively large land area is divided into multiple subareas with relatively small land areas; the carbon emission factor of each subarea can be determined based on the flow electricity, power generation, and carbon emissions of the multiple subareas. By dividing the area into subareas, the carbon emissions of different subareas can be evaluated more finely. Taking into account the flow electricity, power generation, and carbon emissions of each subarea, the carbon emission factor of each subarea can be calculated more accurately. Then, based on the carbon emission factor of each subarea, energy-saving and emission reduction strategies are formulated for different subareas.

[0185] In a possible implementation, the determining module 402 is specifically configured to:

[0186] Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition;

[0187] Determining a flow power matrix according to the flow power of each partition and the power generation of each partition, wherein the flow power matrix includes the flow power of each partition and the power generation of each partition;

[0188] Determining a total power generation coefficient matrix using the flow power matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of each partition;

[0189] Obtaining a first carbon emission factor matrix according to the power generation carbon emission factor matrix, the flow power matrix, and the total power generation coefficient matrix, wherein the first carbon emission factor matrix includes the first carbon emission factor of each partition;

[0190] The first carbon emission factor of the partition is obtained through the first carbon emission factor matrix.

[0191] In a possible implementation, the determining module 402 is specifically configured to:

[0192] Determining a power generation carbon emission factor for the partition based on the power generation of the partition and the carbon emissions of the partition;

[0193] The power generation carbon emission factor matrix is ​​determined according to the power generation carbon emission factors of each partition.

[0194] In a possible implementation, the determining module 402 is specifically configured to:

[0195] Determine the total power generation of each partition based on the flow power matrix, where the total power generation is the sum of the power generation of the partition and the power flowing into the partition from other partitions in the area;

[0196] The total power generation coefficient matrix is ​​determined according to the total power generation of each partition, and the total power generation coefficient is the inverse of the total power generation.

[0197] In a possible implementation, the determining module 402 is specifically configured to:

[0198] Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition;

[0199] A first carbon emission factor of the partition is determined according to the flow amount of the partition, the power generation of the partition, and the power generation carbon emission factor matrix.

[0200] In a possible implementation, the apparatus further includes a partitioned first green electricity calculation module, configured to:

[0201] Obtaining the green electricity trading volume between the zones;

[0202] A second carbon emission factor is determined based on the first carbon emission factor and the green electricity trading volume between the partitions. The second carbon emission factor is a power supply carbon emission factor that takes green electricity trading into account.

[0203] In a possible implementation, the first green electricity calculation module is specifically configured to:

[0204] A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs;

[0205] Determine a second carbon emission factor matrix based on the partition green electricity purchase matrix, the partition green electricity sales matrix, the total power generation coefficient matrix, and the first carbon emission factor matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of the partitions, and the first carbon emission factor matrix includes the first carbon emission factors of the partitions;

[0206] The second carbon emission factor of the partition is obtained through the second carbon emission factor matrix.

[0207] In a possible implementation, the first green electricity calculation module is specifically configured to:

[0208] A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs;

[0209] The second carbon emission factor is determined based on the green electricity purchase matrix of the partition, the green electricity sales matrix of the partition, the first power generation carbon emission factor matrix and the flow electricity matrix; the first carbon emission factor matrix includes the first carbon emission factor of each partition; the flow electricity matrix includes the flow electricity of each partition and the power generation of each partition.

[0210] In a possible implementation, the apparatus further includes a second green electricity calculation module, configured to:

[0211] Obtaining a second carbon emission factor for a partition and user electricity consumption and user green electricity purchase amounts of at least two users in the partition;

[0212] Determine a first ratio and a second ratio for the user, where the first ratio is the ratio of the user's green electricity purchases to the user's electricity consumption, and the second ratio is the ratio of the user's green electricity purchases to the partition electricity consumption, where the partition electricity consumption is the sum of the user electricity consumption of other users in the partition to which the user belongs and the electricity flowing from the partition to which the user belongs to other partitions;

[0213] The carbon emission factor of the user is determined according to the first ratio, the second ratio, and the second carbon emission factor.

[0214] The embodiments of the present application also provide corresponding devices and computer storage media for implementing the solutions provided by the embodiments of the present application.

[0215] The device includes a memory and a processor, the memory is used to store instructions or codes, and the processor is used to execute the instructions or codes so that the device executes the method for determining the carbon emission factor described in any embodiment of the present application.

[0216] The computer storage medium stores code, and when the code is executed, the device executing the code implements the method for determining the carbon emission factor described in any embodiment of the present application.

[0217] The "first" and "second" (if any) in the names mentioned in the embodiments of this application are only used as name identifiers and do not mean the first or second in order.

[0218] Through the description of the above embodiments, it can be known that those skilled in the art can clearly understand that all or part of the steps in the above embodiment methods can be implemented by means of software plus a general hardware platform. Based on this understanding, the technical solution of the present application can be embodied in the form of a software product, which can be stored in a storage medium, such as a read-only memory (ROM) / RAM, a magnetic disk, an optical disk, etc., and includes a number of instructions for enabling a computer device (which can be a personal computer, a server, or a network communication device such as a router) to execute the methods described in each embodiment or certain parts of the embodiments of the present application.

[0219] Each embodiment in this specification is described in a progressive manner. The same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments. In particular, for the device embodiment, since it is basically similar to the method embodiment, the description is relatively simple. For the relevant parts, refer to the partial description of the method embodiment. Some or all of the modules can be selected according to actual needs to achieve the purpose of the embodiment. Those of ordinary skill in the art can understand and implement it without paying any creative work.

[0220] The above description is merely an exemplary embodiment of the present application and is not intended to limit the scope of protection of the present application.

Claims

1. A method for determining a carbon emission factor, characterized in that: include: Obtaining the flow of electricity, power generation, and carbon emissions of each partition within the area; the flow of electricity includes electricity flowing from other partitions within the area into the partition and electricity flowing from the partition to other partitions within the area, the land area of ​​the partition is smaller than the land area of ​​the area, and the area includes multiple partitions; A first carbon emission factor of each partition is determined according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition.

2. The method according to claim 1, characterized in that The determining of the first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition includes: Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition; Determining a flow power matrix according to the flow power of each partition and the power generation of each partition, wherein the flow power matrix includes the flow power of each partition and the power generation of each partition; Determining a total power generation coefficient matrix using the flow power matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of each partition; Obtaining a first carbon emission factor matrix according to the power generation carbon emission factor matrix, the flow power matrix, and the total power generation coefficient matrix, wherein the first carbon emission factor matrix includes the first carbon emission factor of each partition; The first carbon emission factor of the partition is obtained through the first carbon emission factor matrix.

3. The method according to claim 2, characterized in that The determining of the power generation carbon emission factor matrix based on the power generation of each partition and the carbon emission of each partition includes: Determining a power generation carbon emission factor for the partition based on the power generation of the partition and the carbon emissions of the partition; The power generation carbon emission factor matrix is ​​determined according to the power generation carbon emission factors of each partition.

4. The method according to claim 2, characterized in that The method of determining a total power generation coefficient matrix using the flow power matrix includes: Determine the total power generation of each partition based on the flow power matrix, where the total power generation is the sum of the power generation of the partition and the power flowing into the partition from other partitions in the area; The total power generation coefficient matrix is ​​determined according to the total power generation of each partition, and the total power generation coefficient is the inverse of the total power generation.

5. The method according to claim 1, wherein The determining of the first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, and the electricity consumption of each partition includes: Determining a power generation carbon emission factor matrix based on the power generation of each partition and the carbon emissions of each partition, wherein the power generation carbon emission factor matrix includes the power generation carbon emission factors of each partition, and the power generation carbon emission factors of a partition are the ratios of the carbon emissions of the partition to the power generation of the partition; A first carbon emission factor of the partition is determined according to the flow amount of the partition, the power generation of the partition, and the power generation carbon emission factor matrix.

6. The method according to claim 1, wherein The method further comprises: Obtaining the green electricity trading volume between the zones; A second carbon emission factor is determined based on the first carbon emission factor and the green electricity trading volume between the partitions. The second carbon emission factor is a power supply carbon emission factor that takes green electricity trading into account.

7. The method according to claim 6, characterized in that The determining of the second carbon emission factor according to the first carbon emission factor and the green electricity trading volume between the zones includes: A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs; Determine a second carbon emission factor matrix based on the partition green electricity purchase matrix, the partition green electricity sales matrix, the total power generation coefficient matrix, and the first carbon emission factor matrix, wherein the total power generation coefficient matrix includes the total power generation coefficients of the partitions, and the first carbon emission factor matrix includes the first carbon emission factors of the partitions; The second carbon emission factor of the partition is obtained through the second carbon emission factor matrix.

8. The method according to claim 6, characterized in that The determining of the second carbon emission factor according to the first carbon emission factor and the green electricity trading volume between the zones includes: A partition green electricity purchase matrix and a partition green electricity sales matrix are obtained based on the green electricity transaction volume between the partitions, wherein the partition green electricity purchase matrix includes the amount of green electricity purchased by each partition from other partitions in the area to which the partition belongs, and the partition green electricity sales matrix includes the amount of green electricity sold by each partition to other partitions in the area to which the partition belongs; The second carbon emission factor is determined based on the green electricity purchase matrix of the partition, the green electricity sales matrix of the partition, the first power generation carbon emission factor matrix and the flow electricity matrix; the first carbon emission factor matrix includes the first carbon emission factor of each partition; the flow electricity matrix includes the flow electricity of each partition and the power generation of each partition.

9. The method according to any one of claims 6 to 8, characterized in that: The method further comprises: Obtaining a second carbon emission factor for a partition and user electricity consumption and user green electricity purchase amounts of at least two users in the partition; Determine a first ratio and a second ratio for the user, where the first ratio is the ratio of the user's green electricity purchases to the user's electricity consumption, and the second ratio is the ratio of the user's green electricity purchases to the partition electricity consumption, where the partition electricity consumption is the sum of the user electricity consumption of other users in the partition to which the user belongs and the electricity flowing from the partition to which the user belongs to other partitions; The carbon emission factor of the user is determined according to the first ratio, the second ratio, and the second carbon emission factor.

10. A device for determining a carbon emission factor, characterized in that: include: an acquisition module, configured to acquire the flow of electricity, power generation, and carbon emissions of each sub-area within the area; the flow of electricity includes electricity flowing from other sub-areas within the area into the sub-area and electricity flowing from the sub-area to other sub-areas within the area, and the land area of ​​the sub-area is smaller than the land area of ​​the area; The determination module is configured to determine a first carbon emission factor of each partition according to the flow electricity of each partition, the power generation of each partition, the electricity consumption of each partition, and the carbon emission of each partition.

11. A computer device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the processor executes the computer program, the method for determining the carbon emission factor according to any one of claims 1 to 9 is implemented.

12. A computer storage medium, characterized in that The computer storage medium stores instructions, and when the instructions are executed on a terminal device, the terminal device executes the method for determining the carbon emission factor according to any one of claims 1 to 9.

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