A method, device, equipment and medium for determining carbon dioxide emission reduction

Abstract

The present application discloses a method, device, equipment and medium for determining carbon dioxide emission reduction, and relates to the field of carbon emission technology. The method includes: constructing a spatiotemporal analysis model, and using the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by an electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle; based on the carbon dioxide emissions of fuel vehicles, the carbon dioxide emission reduction of the electric vehicle during travel is determined to obtain the travel carbon emission reduction; based on the carbon emission intensity of electricity and the travel carbon emission reduction, the actual carbon dioxide emission reduction of the electric vehicle is determined. Through the technical solution of the present application, the carbon emission intensity of electricity generated by the electricity production of electric vehicles during the charging process can be calculated more accurately, and combined with the travel carbon emission reduction of electric vehicles, the carbon dioxide emission reduction of electric vehicles can be more reasonably determined, so that electric vehicles can better participate in the electricity carbon market.

Description

Technical Field

[0001] The present invention relates to the field of carbon emission technology, and in particular to a method, device, equipment and medium for determining carbon dioxide emission reduction. Background Art

[0002] At present, seven cities in my country, including Beijing, Tianjin, Shanghai, Chongqing, Hubei, Guangdong and Shenzhen, have launched carbon trading. The participating emission-controlled enterprises are determined based on the scope of carbon emission control. In the future, the market scope participating in carbon trading will continue to expand, and electric vehicles will also be deeply involved in the carbon trading market.

[0003] The carbon dioxide emission reduction of electric vehicles is the difference between the carbon dioxide emission reduction of electric vehicles during travel and the carbon emissions generated by the amount of electricity charged by the electric vehicles during the charging process. In the existing technology, when calculating the carbon dioxide emission reduction of electric vehicles, the average carbon emission factor of the power grid is used to calculate the carbon emissions generated by the amount of electricity charged by the electric vehicles during the charging process. The average carbon emission factor of the power grid is used in the calculation process, and the influence of the mutual exchange of carbon emissions caused by the exchange of electricity between regions is not fully considered, resulting in low calculation accuracy of the average carbon emission factor of power grid, especially the regional contribution of the differentiated development of new energy between regions to the reduction of carbon emissions.

[0004] In summary, how to more accurately calculate the carbon emissions generated by the electricity charged by electric vehicles during the charging process, combine it with the carbon emission reduction of electric vehicle travel, and reasonably determine the carbon dioxide emission reduction of electric vehicles is a problem that needs to be solved. Summary of the invention

[0005] In view of this, the purpose of the present invention is to provide a method, device, equipment and medium for determining carbon dioxide emission reduction, which can more accurately calculate the carbon emissions generated by the amount of electricity charged by the electric vehicle during the charging process, and reasonably determine the carbon dioxide emission reduction of the electric vehicle in combination with the carbon emission reduction of electric vehicle travel. The specific scheme is as follows:

[0006] In a first aspect, the present application discloses a method for determining carbon dioxide emission reduction, comprising:

[0007] Constructing a spatiotemporal analysis model, and using the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by the electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle;

[0008] Determine the carbon dioxide emission reduction of the electric vehicle during the travel process based on the carbon dioxide emission of the fuel vehicle to obtain the carbon emission reduction of the travel;

[0009] The actual carbon dioxide emission reduction of the electric vehicle is determined based on the electricity carbon emission intensity and the travel carbon emission reduction.

[0010] Optionally, the constructing of the spatiotemporal analysis model and using the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by the electric vehicle at the target node includes:

[0011] Determine the real-time carbon emission intensity of electricity generated in the target branch by using a first preset carbon emission intensity determination formula;

[0012] Based on the real-time electricity carbon emission intensity, the electricity carbon emission intensity generated by the electric vehicle at the target node is determined using a second preset carbon emission intensity determination formula.

[0013] Optionally, determining the real-time carbon emission intensity of electricity generated in the target branch by using a first preset carbon emission intensity determination formula includes:

[0014] By BCI i =BCF i / P i Determine the real-time carbon emission intensity of electricity generated in the target branch; among them, BCI i is the real-time electricity carbon emission intensity; BCF i is the branch carbon flow of the target branch; P i is the active power flow of the target branch; i is the number of the branch.

[0015] Optionally, the second preset carbon emission intensity determination formula includes:

[0016]

[0017] Among them, NCI n is the carbon emission intensity of the electricity generated by the electric vehicle at the target node; BCI i is the real-time electricity carbon emission intensity; BCF i is the branch carbon flow of the target branch; P i is the active power flow of the target branch; i is the number of the branch; N + is the set of all branches connected to the n-th node in which flow flows into the n-th node.

[0018] Optionally, determining the carbon dioxide emission reduction of the electric vehicle during travel based on the carbon dioxide emission of the fuel vehicle to obtain the carbon emission reduction during travel includes:

[0019] Based on the carbon dioxide emissions of fuel vehicles, the carbon dioxide emissions reduction of the electric vehicle during the travel process is determined using a preset travel carbon emissions reduction formula to obtain the travel carbon emissions reduction.

[0020] Optionally, the carbon dioxide emissions of the fuel vehicle are determined based on a preset travel carbon emissions reduction formula to obtain the travel carbon emissions reduction, including:

[0021] Utilize BE i =SFC i *EF oil *100*10 -3 Determine the carbon dioxide emission reduction of the electric vehicle during the travel process to obtain the travel carbon emission reduction;

[0022] Among them, BE i SFC is the carbon emission reduction of the electric vehicle mentioned in item i for every 100 kilometers; i is the fuel consumption of the electric vehicle relative to the fuel vehicle; EF oil is the carbon emission factor per unit fuel.

[0023] Optionally, determining the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction includes:

[0024] The actual carbon dioxide emission reduction of the electric vehicle is determined by using the difference between the electricity carbon emission intensity and the travel carbon emission reduction.

[0025] In a second aspect, the present application discloses a device for determining carbon dioxide emission reduction, comprising:

[0026] A spatiotemporal analysis model building module, used to build a spatiotemporal analysis model, and use the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by the electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle;

[0027] A travel carbon emission reduction determination module is used to determine the carbon dioxide emission reduction of the electric vehicle during the travel process based on the carbon dioxide emissions of the fuel vehicle to obtain the travel carbon emission reduction;

[0028] The actual carbon dioxide emission reduction determination module is used to determine the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction.

[0029] In a third aspect, the present application discloses an electronic device, comprising a processor and a memory; wherein the memory is used to store a computer program, and the computer program is loaded and executed by the processor to implement the method for determining carbon dioxide emission reduction as described above.

[0030] In a fourth aspect, the present application discloses a computer-readable storage medium for storing a computer program; wherein the computer program, when executed by a processor, implements the method for determining carbon dioxide emission reduction as described above.

[0031] The present application discloses a method for determining carbon dioxide emission reduction, including: constructing a spatiotemporal analysis model, and using the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by an electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle; determining the carbon dioxide emission reduction of the electric vehicle during travel based on the carbon dioxide emissions of fuel vehicles to obtain the carbon emission reduction of travel; determining the actual carbon dioxide emission reduction of the electric vehicle based on the carbon emission intensity of electricity and the carbon emission reduction of travel. It can be seen that the present application can determine the carbon emission intensity of electricity generated by the electric vehicle during charging in real time by constructing a spatiotemporal analysis model, taking into account the carbon emission factors in the regional and time characteristics, and more accurately calculating the carbon emissions generated by the electricity charged by the electric vehicle during the charging process; quantifying the carbon dioxide emission reduction of the electric vehicle during travel based on the carbon dioxide emissions of fuel vehicles to obtain the carbon emission reduction of travel, combining the accurately obtained carbon emission intensity of electricity and the carbon emission reduction of travel, and more reasonably calculating the actual carbon dioxide emission reduction of the electric vehicle, so that the electric vehicle can better participate in the electric carbon market.

[0032] In addition, the present application provides a device, equipment and storage medium for determining carbon dioxide emission reduction, which correspond to the above-mentioned method for determining carbon dioxide emission reduction and have the same effect as above. BRIEF DESCRIPTION OF THE DRAWINGS

[0033] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0034] Figure 1 A flow chart of a method for reducing carbon dioxide emissions disclosed in this application;

[0035] Figure 2 A flow chart of a specific method for reducing carbon dioxide emissions disclosed in this application;

[0036] Figure 3 This is a schematic diagram of the structure of a carbon dioxide emission reduction device disclosed in this application;

[0037] Figure 4 This is a structural diagram of an electronic device disclosed in this application. DETAILED DESCRIPTION

[0038] 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 only 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.

[0039] At present, when calculating the carbon dioxide emission reduction of electric vehicles, the average carbon emission factor of the power grid is used to calculate the carbon emissions generated by the electricity charged by the electric vehicle during the charging process. Since the average carbon emission factor of the power grid is used in the calculation process, the exchange of electricity between regions is not fully considered, which causes the influence of mutual exchange of carbon emissions, resulting in low calculation accuracy of the average carbon emission factor of power grid, especially the regional contribution of differentiated new energy development between regions to the reduction of carbon emissions.

[0040] To this end, the present application provides a carbon dioxide emission reduction scheme that can more accurately calculate the carbon emissions generated by the amount of electricity charged by electric vehicles during the charging process, and reasonably determine the carbon dioxide emission reduction of electric vehicles based on the carbon emission reduction of electric vehicle travel.

[0041] The present invention discloses a method for reducing carbon dioxide emissions. Figure 1 As shown, the method includes:

[0042] Step S11: construct a spatiotemporal analysis model, and use the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by the electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle.

[0043] It is understandable that the carbon emission intensity of electricity characterizes the carbon dioxide content per kilowatt-hour of electricity in a given area per unit time, and its unit is gCO2e / kWh. The power flow tracking method can effectively reflect the carbon emission intensity of electricity at different times and locations. In the embodiment of the present application, by constructing a spatiotemporal analysis model, which is similar to the flow model describing the flow of power in the network, it is used to describe the virtual network flow formed by the carbon emissions that maintain the flow of any branch in the power system.

[0044] In the process of constructing the spatiotemporal analysis model, the real-time carbon emission intensity of electricity generated in the target branch is determined by the first preset carbon emission intensity determination formula; wherein the first preset carbon emission intensity determination formula is BCI i =BCF i / P i Among them, BCI iis the real-time electricity carbon emission intensity, in gCO2e / kW; BCF i is the branch carbon flow of the target branch, in gCO2e; P i is the active power flow of the target branch, in kW; i is the number of the branch.

[0045] Understandably, BCI i =BCF i / P i A correlation between branch carbon flow and active power flow on the branch is established. Since the carbon flow changes with time, based on the real-time dependency between the branch carbon flow and active power flow, it can be understood that the carbon flow starts from the power plant side, enters the power system with active power, flows in the power grid, and finally flows into the target node for providing charging services. In this way, the transfer of carbon emission responsibility from power producers to consumers can be essentially achieved.

[0046] Furthermore, the carbon emission intensity of electricity generated at the target node NCI n It can be used to establish the correlation between the input carbon flow and the output carbon flow on the node, that is, based on the real-time carbon emission intensity of electricity, the carbon emission intensity of electricity generated by the electric vehicle at the target node is determined using the second preset carbon emission intensity determination formula. Among them, the second preset carbon emission intensity determination formula is Among them, NCI n is the carbon emission intensity of the electricity generated by the electric vehicle at the target node; BCI i is the real-time electricity carbon emission intensity; BCF i is the branch carbon flow of the target branch; P i is the active power flow of the target branch; i is the number of the branch; N + is the set of all branches connected to the n-th node in which flow flows into the n-th node.

[0047] In the embodiment of the present application, the electricity carbon emission intensity of the target node is an extension of the traditional electricity carbon emission intensity on the power plant side. Based on the spatiotemporal analysis model, the electricity carbon emission intensity generated at the target node for providing charging services, such as the node at the charging station, is the carbon emissions generated on the power plant side when this node consumes a unit of electricity, that is, the carbon emissions generated by the electricity charged by the electric vehicle during the charging process.

[0048] Step S12: determining the carbon dioxide emission reduction of the electric vehicle during travel based on the carbon dioxide emission of the fuel vehicle to obtain the carbon emission reduction during travel.

[0049] In the embodiment of the present application, since electric vehicles have no carbon emissions compared to fuel vehicles during travel, the carbon dioxide emission reduction of electric vehicles during travel is quantitatively determined based on the carbon dioxide emissions of fuel vehicles. Specifically, the carbon dioxide emission reduction of the electric vehicle during travel is determined using a preset travel carbon emission reduction formula to obtain the travel carbon emission reduction.

[0050] In the embodiment of the present application, the preset travel carbon emission reduction formula is BE i =SFC i *EF oil *100*10 -3 ; Among them, BE i SFC is the carbon emission reduction of the electric vehicle mentioned in item i per 100 kilometers, in tCO2; i is the fuel consumption of the electric vehicle relative to the fuel vehicle, in L / km; EF oil is the unit fuel carbon emission factor, which is 2.37kgCO2 / L for fuel vehicles. In addition, in the preset travel carbon emission reduction formula, 100 refers to 100 kilometers, 10 -3 It is to convert kg (kilogram) into t (ton).

[0051] It should be pointed out that the annual average operating fuel consumption of fuel vehicles is released by the official, such as the Ministry of Industry and Information Technology announced in 2021. Taking passenger cars among fuel vehicles as an example, the average vehicle curb weight is 1,514 kilograms, and the actual average fuel consumption is 4.99 liters / 100 kilometers.

[0052] Step S13: Determine the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction.

[0053] In an embodiment of the present application, the actual carbon dioxide emission reduction of the electric vehicle is determined by using the difference between the electricity carbon emission intensity and the travel carbon emission reduction.

[0054] The present application discloses a method for determining carbon dioxide emission reduction, including: constructing a spatiotemporal analysis model, and using the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by an electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle; determining the carbon dioxide emission reduction of the electric vehicle during travel based on the carbon dioxide emissions of fuel vehicles to obtain the carbon emission reduction of travel; determining the actual carbon dioxide emission reduction of the electric vehicle based on the carbon emission intensity of electricity and the carbon emission reduction of travel. It can be seen that the present application can determine the carbon emission intensity of electricity generated by the electric vehicle during charging in real time by constructing a spatiotemporal analysis model, taking into account the carbon emission factors in the regional and time characteristics, and more accurately calculating the carbon emissions generated by the electricity charged by the electric vehicle during the charging process; quantifying the carbon dioxide emission reduction of the electric vehicle during travel based on the carbon dioxide emissions of fuel vehicles to obtain the carbon emission reduction of travel, combining the accurately obtained carbon emission intensity of electricity and the carbon emission reduction of travel, and more reasonably calculating the actual carbon dioxide emission reduction of the electric vehicle, so that the electric vehicle can better participate in the electric carbon market.

[0055] The present application discloses a specific method for reducing carbon dioxide emissions. Figure 2 As shown, the method includes:

[0056] Step S21: Through BCI i =BCF i / P i Determine the real-time carbon intensity of electricity generated in the target branch.

[0057] In the embodiment of the present application, a correlation relationship is established between the branch carbon flow and the active power flow on the branch. Since the carbon flow changes in real time over time, the BCI i =BCF i / P i Not only can the time characteristics of the carbon emission factor be fully considered, but the carbon emission intensity on the branch line can also be used to further determine the carbon emission intensity at the target node. The regional characteristics can also be considered to more accurately determine the carbon emission intensity of electricity generated by electric vehicles during the charging process.

[0058] Among them, BCI i is the real-time electricity carbon emission intensity, in gCO2e / kW; BCF i is the branch carbon flow of the target branch, in gCO2e; P i is the active power flow of the target branch, in kW; i is the number of the branch.

[0059] Step S22: Based on the real-time electricity carbon emission intensity, using Determine the carbon emission intensity of electricity generated by electric vehicles at the target node.

[0060] In the embodiment of the present application, the carbon emission intensity NCI on the target node can be used to establish the correlation between the input carbon flow and the output carbon flow on the target node. The carbon flow starts from the power plant side, enters the power system with the active power, flows in the power grid, and finally flows into the load node, that is, the target node, to realize the transfer of carbon emission responsibility from the power producer to the consumer. Therefore, through NCI n When the electric vehicle is at the target node, the carbon emissions generated by the power plant where the electric vehicle is charged are calculated.

[0061] Among them, NCI n is the carbon emission intensity of the electricity generated by the electric vehicle at the target node; BCI i is the real-time electricity carbon emission intensity; BCF i is the branch carbon flow of the target branch; P i is the active power flow of the target branch; i is the number of the branch; N + is the set of all branches connected to the n-th node in which flow flows into the n-th node.

[0062] Step S23: Based on the carbon dioxide emissions of fuel vehicles, using BE i =SFC i *EF oil *100*10 -3 The carbon dioxide emission reduction amount of the electric vehicle during the travel is determined to obtain the travel carbon emission reduction amount.

[0063] In the embodiment of the present application, according to the calculation method of carbon dioxide emission reduction of electric vehicle travel, based on the carbon dioxide emissions of fuel vehicles, using BE i =SFC i *EF oil *100*10 -3 Determine the amount of carbon dioxide emissions reduced by electric vehicles per 100 kilometers of travel.

[0064] Among them, BE i SFC is the carbon emission reduction of the electric vehicle mentioned in item i per 100 kilometers, in tCO2; i is the fuel consumption of the electric vehicle relative to the fuel vehicle, in L / km; EF oil is the unit fuel carbon emission factor, which is 2.37kgCO2 / L for fuel vehicles. In addition, in the preset travel carbon emission reduction formula, 100 refers to 100 kilometers, 10 -3 It is to convert kg (kilogram) into t (ton).

[0065] It should be pointed out that the annual average operating fuel consumption of fuel vehicles is released by the official, such as the Ministry of Industry and Information Technology announced in 2021. Taking passenger cars among fuel vehicles as an example, the average vehicle curb weight is 1,514 kilograms, and the actual average fuel consumption is 4.99 liters / 100 kilometers.

[0066] Step S24: Determine the actual carbon dioxide emission reduction of the electric vehicle using the difference between the electricity carbon emission intensity and the travel carbon emission reduction.

[0067] In the embodiment of the present application, the carbon dioxide emission reduction calculation method of electric vehicles is combined, and the carbon dioxide emission reduction of electric vehicles during travel is used to determine the actual carbon dioxide emission reduction of electric vehicles by subtracting the carbon emission intensity of electricity generated by electric vehicles during charging in combination with regional and temporal characteristics. Different from the prior art that uses the average carbon emission factor of the power grid for calculation, resulting in low calculation accuracy and failure to consider regional contributions, the embodiment of the present application can fully consider regional and temporal characteristics and more reasonably determine the carbon dioxide emission reduction of electric vehicles, thereby enabling electric vehicles to better participate in the electric carbon market.

[0068] The present application discloses a method for determining carbon dioxide emission reduction, comprising: i =BCF i / P i Determine the real-time carbon emission intensity of electricity generated in the target branch; based on the real-time carbon emission intensity of electricity, use Determine the carbon emission intensity of electricity generated by electric vehicles at the target node; based on the carbon dioxide emissions of fuel vehicles, use BE i =SFC i *EF oil *100*10 -3 Determine the carbon dioxide emission reduction of the electric vehicle during the travel process to obtain the travel carbon emission reduction; use the difference between the electricity carbon emission intensity and the travel carbon emission reduction to determine the actual carbon dioxide emission reduction of the electric vehicle. It can be seen that this application can determine the carbon emission intensity of electricity generated by the electric vehicle during the charging process in real time by constructing a spatiotemporal analysis model and fully considering the carbon emission factors in the regional and temporal characteristics, and more accurately calculate the carbon emissions generated by the electric vehicle during the charging process; quantify the carbon dioxide emission reduction of the electric vehicle during the travel process based on the carbon dioxide emissions of fuel vehicles to obtain the travel carbon emission reduction, combine the accurately obtained electricity carbon emission intensity and travel carbon emission reduction, and more reasonably calculate the actual carbon dioxide emission reduction of the electric vehicle, so that electric vehicles can better participate in the electric carbon market.

[0069] Correspondingly, the present application also discloses a device for reducing carbon dioxide emissions, see Figure 3 As shown, the device comprises:

[0070] The spatiotemporal analysis model construction module 11 is used to construct a spatiotemporal analysis model and use the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by the electric vehicle at a target node; wherein the target node is used to provide charging services for the electric vehicle;

[0071] A travel carbon emission reduction determination module 12 is used to determine the carbon dioxide emission reduction of the electric vehicle during the travel process based on the carbon dioxide emissions of the fuel vehicle to obtain the travel carbon emission reduction;

[0072] The actual carbon dioxide emission reduction determination module 13 is used to determine the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction.

[0073] Among them, for more specific working processes of the above-mentioned modules, please refer to the corresponding contents disclosed in the aforementioned embodiments, which will not be repeated here.

[0074] It can be seen that the above scheme of this embodiment includes: constructing a spatiotemporal analysis model, and using the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by the electric vehicle at the target node; wherein the target node is used to provide charging services for the electric vehicle; based on the carbon dioxide emissions of fuel vehicles, the carbon dioxide emission reduction of the electric vehicle during travel is determined to obtain the carbon emission reduction of travel; based on the carbon emission intensity of electricity and the carbon emission reduction of travel, the actual carbon dioxide emission reduction of the electric vehicle is determined. It can be seen that this application can determine the carbon emission intensity of electricity generated by the electric vehicle during the charging process in real time by constructing a spatiotemporal analysis model, taking into account the carbon emission factors in the regional and time characteristics, and more accurately calculate the carbon emissions generated by the electric vehicle during the charging process; based on the carbon dioxide emissions of fuel vehicles, the carbon dioxide emission reduction of the electric vehicle during travel is quantified to obtain the carbon emission reduction of travel, and the accurate carbon emission intensity of electricity is combined with the carbon emission reduction of travel, so as to more reasonably calculate the actual carbon dioxide emission reduction of the electric vehicle, so that the electric vehicle can better participate in the electric carbon market.

[0075] In a specific implementation, the spatiotemporal analysis model building module 11 includes:

[0076] A first electricity carbon emission intensity determination module, used to determine the real-time electricity carbon emission intensity generated in the target branch by using a first preset carbon emission intensity determination formula;

[0077] The second electricity carbon emission intensity determination module is used to determine the electricity carbon emission intensity generated by the electric vehicle at the target node based on the real-time electricity carbon emission intensity using a second preset carbon emission intensity determination formula.

[0078] In a specific implementation manner, the first electricity carbon emission intensity determination module is specifically configured to determine the carbon emission intensity of electricity through BCI i =BCF i / P i Determine the real-time carbon emission intensity of electricity generated in the target branch; among them, BCI i is the real-time electricity carbon emission intensity; BCF i is the branch carbon flow of the target branch; P i is the active power flow of the target branch; i is the number of the branch.

[0079] In a specific implementation, the travel carbon emission reduction determination module 12 includes:

[0080] The travel carbon emission reduction determination unit is used to determine the carbon dioxide emission reduction of the electric vehicle during the travel process based on the carbon dioxide emissions of the fuel vehicle using a preset travel carbon emission reduction formula to obtain the travel carbon emission reduction.

[0081] In a specific implementation, the travel carbon emission reduction determination unit is specifically configured to use BE i =SFC i *EF oil *100*10 -3 Determine the carbon dioxide emission reduction of the electric vehicle during the travel process to obtain the travel carbon emission reduction;

[0082] Among them, BE i The carbon emission reduction of the electric vehicle for every 100 kilometers; SFC i is the fuel consumption of the electric vehicle relative to the fuel vehicle; EF oil is the carbon emission factor per unit fuel.

[0083] In a specific implementation, the actual carbon dioxide emission reduction determination module 13 includes:

[0084] The actual carbon dioxide emission reduction determination unit is used to determine the actual carbon dioxide emission reduction of the electric vehicle by using the difference between the electricity carbon emission intensity and the travel carbon emission reduction.

[0085] Furthermore, the present application also discloses an electronic device. Figure 4 This is a structural diagram of an electronic device 20 according to an exemplary embodiment, and the content in the diagram cannot be considered as any limitation on the scope of use of the present application.

[0086] Figure 4 A schematic diagram of the structure of an electronic device 20 provided in an embodiment of the present application. The electronic device 20 may specifically include: at least one processor 21, at least one memory 22, a power supply 23, a communication interface 24, an input / output interface 25, and a communication bus 26. The memory 22 is used to store a computer program, which is loaded and executed by the processor 21 to implement the relevant steps in the carbon dioxide emission reduction method disclosed in any of the aforementioned embodiments. In addition, the electronic device 20 in this embodiment may specifically be a sensor installed in an electric vehicle.

[0087] In this embodiment, the power supply 23 is used to provide working voltage for each hardware device on the electronic device 20; the communication interface 24 can create a data transmission channel between the electronic device 20 and the external device, and the communication protocol it follows is any communication protocol that can be applied to the technical solution of the present application, and is not specifically limited here; the input and output interface 25 is used to obtain external input data or output data to the outside world, and its specific interface type can be selected according to specific application needs and is not specifically limited here.

[0088] In addition, the memory 22 as a carrier for resource storage may be a read-only memory, a random access memory, a disk or an optical disk, etc. The resources stored thereon may include an operating system 221, a computer program 222 and data 223, etc. The data 223 may include various data. The storage method may be temporary storage or permanent storage.

[0089] The operating system 221 is used to manage and control the hardware devices and computer program 222 on the electronic device 20, which can be Windows Server, Netware, Unix, Linux, etc. In addition to including a computer program that can be used to complete the carbon dioxide emission reduction method performed by the electronic device 20 disclosed in any of the aforementioned embodiments, the computer program 222 can further include a computer program that can be used to complete other specific tasks.

[0090] Furthermore, the embodiment of the present application also discloses a computer-readable storage medium, wherein the computer-readable storage medium mentioned here includes a random access memory (Random Access Memory, RAM), a memory, a read-only memory (Read-Only Memory, ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a magnetic disk or an optical disk, or any other form of storage medium known in the technical field. Wherein, when the computer program is executed by the processor, the aforementioned carbon dioxide emission reduction method is implemented. For the specific steps of the method, reference can be made to the corresponding contents disclosed in the aforementioned embodiment, and no further description will be given here.

[0091] In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

[0092] The carbon dioxide emission reduction or algorithm steps described in conjunction with the embodiments disclosed herein may be implemented directly using hardware, a software module executed by a processor, or a combination of the two. The software module may be placed in a random access memory (RAM), a memory, a read-only memory (ROM), an electrically programmable ROM, an electrically erasable programmable ROM, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.

[0093] Finally, it should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants 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, the elements defined by the sentence "comprise a ..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0094] The above is a detailed introduction to a method, device, equipment and medium for determining carbon dioxide emission reduction provided by the present invention. Specific examples are used in this article to illustrate the principles and implementation methods of the present invention. The description of the above embodiments is only used to help understand the method of the present invention and its core idea; at the same time, for a general technician in this field, according to the idea of ​​the present invention, there will be changes in the specific implementation method and application scope. In summary, the content of this specification should not be understood as a limitation on the present invention.

Claims

1. A method for determining carbon dioxide emission reduction, It is characterized in that include: Construct a spatiotemporal analysis model, and use the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by electric vehicles at target nodes; wherein the target node is used to provide charging services for the electric vehicles; the spatiotemporal analysis model is used to determine the carbon emission intensity of electricity generated by electric vehicles at target nodes; wherein the target node is used to provide charging services for the electric vehicles; and Establish the relationship between the branch carbon flow and the active power flow on the branch, as well as the carbon emission intensity of the electricity generated at the target node Establish the relationship between the input carbon flow and the output carbon flow on the node; ; is the real-time electricity carbon intensity; is the branch carbon flow of the target branch; is the active power flow of the target branch; is the label of the branch; is the set of all branches connected to the nth node in which flow flows into the nth node; Based on the carbon dioxide emissions of fuel vehicles, the carbon dioxide emissions reduction of the electric vehicle during the travel process is determined to obtain the travel carbon emissions reduction; wherein the carbon dioxide emissions reduction of the electric vehicle during the travel process is determined using a preset travel carbon emissions reduction formula, and the preset travel carbon emissions reduction formula is: ; The carbon emission reduction of the electric vehicle mentioned in item ith for every 100 kilometers; is the fuel consumption of the electric vehicle relative to the fuel vehicle; ; is the unit fuel carbon emission factor; Determining the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction; Wherein, determining the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction includes: The actual carbon dioxide emission reduction of the electric vehicle is determined by using the difference between the electricity carbon emission intensity and the travel carbon emission reduction.

2. A device for determining carbon dioxide emission reduction, It is characterized in that include: A spatiotemporal analysis model building module is used to build a spatiotemporal analysis model and use the spatiotemporal analysis model to determine the carbon emission intensity of electricity generated by electric vehicles at target nodes; wherein the target node is used to provide charging services for the electric vehicles; the spatiotemporal analysis model is used to determine the carbon emission intensity of electricity generated by electric vehicles at target nodes; Establish the relationship between the branch carbon flow and the active power flow on the branch, as well as the carbon emission intensity of the electricity generated at the target node Establish the relationship between the input carbon flow and the output carbon flow on the node; ; is the real-time electricity carbon intensity; is the branch carbon flow of the target branch; is the active power flow of the target branch; is the label of the branch; is the set of all branches connected to the nth node in which flow flows into the nth node; The travel carbon emission reduction determination module is used to determine the carbon dioxide emission reduction of the electric vehicle during the travel process based on the carbon dioxide emissions of the fuel vehicle to obtain the travel carbon emission reduction; wherein the carbon dioxide emission reduction of the electric vehicle during the travel process is determined using a preset travel carbon emission reduction formula, and the preset travel carbon emission reduction formula is: ; The carbon emission reduction of the electric vehicle mentioned in item ith for every 100 kilometers; is the fuel consumption of the electric vehicle relative to the fuel vehicle; ; is the unit fuel carbon emission factor; An actual carbon dioxide emission reduction determination module, used to determine the actual carbon dioxide emission reduction of the electric vehicle based on the electricity carbon emission intensity and the travel carbon emission reduction; The actual carbon dioxide emission reduction determination module comprises: The actual carbon dioxide emission reduction determination unit is used to determine the actual carbon dioxide emission reduction of the electric vehicle by using the difference between the electricity carbon emission intensity and the travel carbon emission reduction.

3. An electronic device, It is characterized in that The electronic device comprises a processor and a memory; wherein the memory is used to store a computer program, and the computer program is loaded and executed by the processor to implement the method for determining carbon dioxide emission reduction as claimed in claim 1.

4. A computer-readable storage medium, It is characterized in that Used to store computer programs; wherein when the computer program is executed by the processor, the method for determining carbon dioxide emission reduction as claimed in claim 1 is implemented.

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