Electric hydrogen production comprehensive utilization carbon emission reduction quantitative accounting method and related equipment

Abstract

The invention discloses a power hydrogen production comprehensive utilization carbon emission reduction quantitative accounting method and related equipment, relates to the field of power hydrogen production, and mainly aims to solve the problem that the current carbon emission reduction quantitative accounting for the power hydrogen production industry is not standardized enough. The method comprises the steps that project and emission source information is identified to determine scene information, and the scene information comprises a datum line scene and a project scene; determining a datum line emission amount based on the datum line scene; determining a project scene emission amount based on the project scene; and the carbon emission reduction amount is calculated through the reference line emission amount and the project scene emission amount.

Description

Technical Field

[0001] The present invention relates to the field of electric power hydrogen production, and in particular to a method for quantitatively calculating carbon emission reductions from comprehensive utilization of electric power hydrogen production and related equipment. Background Art

[0002] Electricity-to-hydrogen is a process that consumes electricity through water electrolysis and converts excess electricity into hydrogen, which helps connect excess electricity and hydrogen production. Producing hydrogen through renewable energy such as wind and solar power, and combining hydrogen with fuel cells to generate electricity, helps build a clean, low-carbon hydrogen energy supply system.

[0003] However, there is a key problem in electric hydrogen production, namely the quantification of carbon emission reductions during the hydrogen production process. In wind power, photovoltaic and other projects, in order to ensure the correct measurement of carbon emission reductions from hydrogen energy, it is necessary to specify more targeted carbon emission reduction quantitative accounting based on the characteristics of the hydrogen production project. However, the current market carbon emission reduction quantitative accounting for the electric hydrogen production industry is still not standardized enough. Summary of the invention

[0004] In view of the above problems, the present invention provides a method for quantitatively calculating carbon emission reductions in the comprehensive utilization of electric power hydrogen production and related equipment, the main purpose of which is to solve the problem that the quantitative accounting of carbon emission reductions in the electric power hydrogen production industry is not standardized enough.

[0005] In order to solve at least one of the above technical problems, in a first aspect, the present invention provides a method for quantitatively calculating carbon emission reductions from comprehensive utilization of electric power to hydrogen, the method comprising:

[0006] Identify project and emission source information to determine scenario information, wherein the scenario information includes a baseline scenario and a project scenario;

[0007] Determining baseline emissions based on the baseline scenario;

[0008] Determining project scenario emissions based on the project scenario;

[0009] The carbon emission reduction is calculated by using the baseline emissions and the project scenario emissions.

[0010] Optionally, determining the baseline emissions based on the baseline scenario includes:

[0011] The baseline emissions are determined based on the following formula:

[0012] BE y =BE elec，y +BE heat，y +BE fuel，y +BE hydr，y

[0013] Among them, the BE yis the baseline emissions of the project in year y,

[0014] The BE elec，y is the baseline emission amount when the net external power supply of the project in year y is supplied by the energy storage system,

[0015] The BE heat，y is the baseline emission generated by the heat supply of the region where the project’s net external heat supply is located in year y,

[0016] The BE fuel，y The baseline emissions generated by a gas station refueling the same vehicle model.

[0017] The BE hydr，y It is the baseline emissions generated by the net external hydrogen supply of the project in the region in year y.

[0018] Optionally, the baseline emissions of the net external power supply of the project in year y supplied by the energy storage system are determined based on the following formula:

[0019] BE elec，y =EG exp,y / (1-SP elec，y )×EF grid,CM,y

[0020] Among them, the EG exp,y is the external power supply of the project in year y,

[0021] The SP elec，y is the conversion efficiency of the power storage equipment in the yth cycle project,

[0022] The EF grid,CM,y is the combined marginal emission factor of the power grid in the project area in year y;

[0023] Determine the combined marginal emission factor of the power grid in the project area in year y based on the following formula:

[0024] EF grid,CM,y =EF grid,OM,y ×ω OM +EF grid,BM,y ×ω BM

[0025] Among them, the EF grid,OM,y is the marginal emission factor of the power grid in the project area in year y,

[0026] The EF grid,BM,y is the capacity marginal emission factor of the power grid in the project area in year y,

[0027] The ω OM is the marginal emission factor weight of electricity quantity,

[0028] The ω BM is the capacity marginal emission factor weight.

[0029] Optionally, the baseline emissions generated by the heat supply of the region where the net external heat supply of the project in year y is determined based on the following formula:

[0030] BE heat，y =HS exp,y ×EF hsn,y

[0031] Among them, the HS exp,y is the external heat supply of the project in year y,

[0032] The EF hsn,y is the thermal emission factor of the region where the project is located in year y.

[0033] Optionally, the baseline emissions generated by the gas station for refueling the same vehicle model are determined based on the following formula:

[0034] BE fuel，y =∑ i f i，y ×EC hrs,i,y ×NCV fuel,i,y ×EF CO2,i,y

[0035] Among them, the f i，y is the energy consumption per unit mileage ratio of the baseline vehicle and the project vehicle with model i in year y,

[0036] The EC hrs,i,y is the amount of hydrogen refueled at the hydrogen refueling station for vehicle type i in year y,

[0037] The NCV fuel,i,y is the net calorific value of fuel consumed by the baseline vehicle of model i in year y,

[0038] The EF CO2,i,y is the CO2 emission factor of the fuel consumed by the baseline vehicle of model i in year y,

[0039] The f i，y is the energy consumption per unit mileage ratio of the baseline vehicle and the project vehicle;

[0040] The energy consumption ratio per unit mileage of the baseline vehicle and the project vehicle is determined based on the following formula:

[0041]

[0042] Wherein, the SFC fuel，i，y is the unit mileage fuel consumption value of the baseline vehicle with model i in year y,

[0043] The SFC H2，i，y It is the energy consumption per unit mileage of the project vehicle with model i in year y.

[0044] Optionally, the baseline emissions generated by the net external hydrogen supply of the project in year y from the region are determined based on the following formula:

[0045] BE hydr,y =HDS exp,y ×EF H2，y

[0046] Among them, the HDS exp,y is the net external hydrogen supply of the project in year y,

[0047] The EF H2，y is the average emission factor for hydrogen production in the project area;

[0048] The average emission factor for hydrogen production in the region where the project is located is determined based on the following formula:

[0049]

[0050] Among them, the EF H2，j，y is the emission factor of hydrogen production method j in the project area in year y;

[0051] The HG H2，j，y It is the amount of hydrogen produced by hydrogen production method j in the project area in year y.

[0052] Optionally, the determining the project scenario emissions based on the project scenario based on the following formula includes:

[0053] PE y =EC grid,y / (1-TDL y )×EF grid,CM,y

[0054] Among them, the PE y is the project scenario emissions in year y,

[0055] The EC grid,y is the amount of electricity that is disconnected from the power grid in the project area in year y,

[0056] The TDL y is the power transmission and distribution loss rate of the power grid in the project area in year y,

[0057] The EF grid,CM,y is the combined marginal emission factor of the power grid in the project area in year y.

[0058] Optionally, the carbon emission reductions calculated using the baseline emissions and the project scenario emissions include:

[0059] The carbon reduction is determined based on the following formula:

[0060] ER y =BE y -PE y

[0061] Among them, the BE y is the baseline emissions of the project in year y,

[0062] The PE y is the project scenario emissions in year y.

[0063] In a second aspect, an embodiment of the present invention further provides a device for quantitatively calculating carbon emission reduction by comprehensive utilization of electric power to hydrogen, comprising:

[0064] An identification unit, used to identify project and emission source information to determine scenario information, wherein the scenario information includes a baseline scenario and a project scenario;

[0065] A first determining unit, configured to determine a baseline emission amount based on the baseline scenario;

[0066] A second determination unit, configured to determine a project scenario emission amount based on the project scenario;

[0067] The accounting unit is used to calculate the carbon emission reduction through the baseline emissions and the project scenario emissions.

[0068] In order to achieve the above-mentioned purpose, according to the third aspect of the present invention, a computer-readable storage medium is provided, and the computer-readable storage medium includes a stored program, wherein when the above-mentioned program is executed by a processor, the steps of the above-mentioned method for quantitative accounting of carbon emission reductions from comprehensive utilization of electric power to hydrogen are implemented.

[0069] In order to achieve the above-mentioned purpose, according to the fourth aspect of the present invention, there is provided an electronic device, comprising at least one processor and at least one memory connected to the processor; wherein the above-mentioned processor is used to call the program instructions in the above-mentioned memory to execute the steps of the above-mentioned method for quantitative accounting of carbon emission reductions from comprehensive utilization of electric power to hydrogen.

[0070] Through the above technical scheme, the quantitative accounting method and related equipment for carbon emission reduction from comprehensive utilization of electric power hydrogen production provided by the present invention can solve the problem that the quantitative accounting of carbon emission reduction in the electric power hydrogen production industry is not standardized enough. The present invention calculates the carbon emission reduction by verifying the baseline emissions and the project scenario emissions, and formulates the correct measurement of hydrogen energy carbon emission reduction according to the characteristics of the hydrogen production project, thereby providing a standard for the quantitative accounting of carbon emission reduction in the electric power hydrogen production industry.

[0071] Correspondingly, the device, equipment and computer-readable storage medium for quantitative accounting of carbon emission reduction in comprehensive utilization of electric power to hydrogen provided in the embodiments of the present invention also have the above-mentioned technical effects.

[0072] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] Various other advantages and benefits will become apparent to those of ordinary skill in the art by reading the detailed description of the preferred embodiments below. The accompanying drawings are only for the purpose of illustrating the preferred embodiments and are not to be considered as limiting the present invention. Moreover, the same reference symbols are used throughout the accompanying drawings to represent the same components. In the accompanying drawings:

[0074] Figure 1 A schematic flow chart of a method for quantitatively calculating carbon emission reduction by comprehensive utilization of electric power to hydrogen provided by an embodiment of the present invention is shown;

[0075] Figure 2 A schematic flow chart of another method for quantitatively calculating carbon emission reduction by comprehensive utilization of electric power to hydrogen provided by an embodiment of the present invention is shown;

[0076] Figure 3 A schematic block diagram showing the composition of a device for quantitatively calculating carbon emission reductions from comprehensive utilization of electric power to hydrogen provided by an embodiment of the present invention is shown;

[0077] Figure 4 A schematic block diagram of the composition of an electronic device for quantitative accounting of carbon emission reduction by comprehensive utilization of electric power to hydrogen provided by an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0078] The exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present invention are shown in the accompanying drawings, it should be understood that the present invention can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present invention and to enable the scope of the present invention to be fully communicated to those skilled in the art.

[0079] In order to solve the problem that the quantitative accounting of carbon emission reduction in the electric power hydrogen production industry is not standardized, the embodiment of the present invention provides a quantitative accounting method for carbon emission reduction in the comprehensive utilization of electric power hydrogen production, such as Figure 1 and Figure 2 As shown, the method includes:

[0080] S101. Identify project and emission source information to determine scenario information, wherein the scenario information includes a baseline scenario and a project scenario;

[0081] Specifically, the project is to produce green hydrogen energy through surplus wind and solar power and off-peak electricity, and finally use it for multiple purposes such as cogeneration, hydrogen refueling stations, industrial hydrogen, etc. The emission sources are various greenhouse gases generated by electricity, heat and driving vehicles.

[0082] Furthermore, the boundaries of the above projects are: under the baseline scenario, the systems and sites for hydrogen production, storage and utilization; under project activities, renewable energy power generation and supporting facilities, water electrolysis hydrogen production systems, hydrogen storage systems, and hydrogen energy utilization systems; when project activities involve grid-connected power generation, the spatial scope of the project boundaries also includes all power plants connected to the power system in the area where the project activities are located.

[0083] S102, determining a baseline emission amount based on the baseline scenario;

[0084] Specific:

[0085] BE y =BE elec，y +BE heat，y +BE fuel，y +BE hydr，y

[0086] Among them, the BE y is the baseline emissions of the project in year y, in tons of carbon dioxide (tCO2),

[0087] The BE elec，y It is the baseline emission of the net external power supply of the project in year y supplied by the energy storage system. It can also be understood as the baseline emission of the external power supply of the project in year y supplied by the regional power grid, in tons of carbon dioxide (tCO2).

[0088] The BE beat，y It is the baseline emission of the net external heat supply of the project in year y generated by the heat supply of the region where the project is located. It can also be understood as the baseline emission of the net external heat supply of the project in year y generated by the heat supply of the region where the project is located, in tons of carbon dioxide (tCO2).

[0089] The BE fuel，y It is the baseline emission generated by the gas station for refueling the same vehicle model. It can also be understood as the baseline emission generated by the fuel supplied by gasoline and diesel for the hydrogen vehicle in the project in year y, in tons of carbon dioxide (tCO2).

[0090] The BE hydr，yIt is the baseline emissions generated by the net external hydrogen supply of the project in the region in year y, in tons of carbon dioxide (tCO2).

[0091] In one embodiment, the baseline emissions of the net external power supply of the project in year y supplied by the energy storage system are determined based on the following formula:

[0092] BE elec，y =EG exp,y / (1-SP elec，y )×EF grid,CM,y

[0093] Among them, the EG exp,y is the external power supply of the project in year y, in megawatt-hours (MWh),

[0094] The SP elec，y is the conversion efficiency of the power storage equipment in the yth cycle, in percentage (%),

[0095] The EF grid,CM,y is the combined marginal emission factor of the power grid in the project area in year y, in tons of carbon dioxide per megawatt-hour (tCO2 / MWh);

[0096] Determine the combined marginal emission factor of the power grid in the project area in year y based on the following formula:

[0097] EF grid,CM,y =EF grid,OM,y ×ω OM +EF grid,BM,y ×ω BM

[0098] Among them, the EF grid,OM,y is the marginal emission factor of the power grid in the project area in year y, in tons of carbon dioxide per megawatt-hour (tCO2 / MWh),

[0099] The EF grid,BM,y is the capacity marginal emission factor of the power grid in the project area in year y, in tons of carbon dioxide per megawatt-hour (tCO2 / MWh),

[0100] The ω OM is the marginal emission factor weight of electricity quantity,

[0101] The ω BM is the capacity marginal emission factor weight.

[0102] In one embodiment, the baseline emissions of the net external heat supply of the project in year y generated by the heat supply in the region are determined based on the following formula:

[0103] BE heat，y =HSexp,y ×EF hsn,y

[0104] Among them, the HS exp,y is the external heat supply of the project in year y, in GJ,

[0105] The EF hsn,y It is the thermal emission factor of the project area in year y, in tons of carbon dioxide per megawatt-hour (tCO2 / GJ).

[0106] In one embodiment, the baseline emissions generated by the gas station for refueling the same vehicle model are determined based on the following formula:

[0107] BE fuel，y =∑ i f i，y ×EC hrs,i,y ×NCV fuel,i,y ×EF CO2,i,y

[0108] Among them, the f i，y is the energy consumption ratio per unit mileage of the baseline vehicle and the project vehicle of model i in year y, in tons of fossil fuel per ton of hydrogen (t / t),

[0109] The EC hrs,i,y is the amount of hydrogen refueled by the hydrogen refueling station for vehicle type i in year y, in kilograms (kg),

[0110] The NCV fuel,i,y is the net calorific value of the fuel consumed by the baseline vehicle of model i in year y, in gigajoules per ton of fossil fuel (GJ / t),

[0111] The EF CO2,i,y is the CO2 emission factor of the fuel consumed by the baseline vehicle of model i in year y, in tons of carbon dioxide per gigajoule (tCO2 / GJ),

[0112] The f i，y is the energy consumption per unit mileage ratio of the baseline vehicle and the project vehicle;

[0113] The energy consumption ratio per unit mileage of the baseline vehicle and the project vehicle is determined based on the following formula:

[0114]

[0115] Wherein, the SFC fuel，i，y is the unit mileage fuel consumption value of the baseline vehicle with model i in year y, in liters of fossil fuel per kilometer (kg / km),

[0116] The SFC H2，i，yIt is the energy consumption per unit mileage of the project vehicle with model i in year y, in kilograms of hydrogen per kilometer (kg / km).

[0117] In one embodiment, the baseline emissions of the net external hydrogen supplied by the project in year y from the region are determined based on the following formula:

[0118] BE hydr,y =HDS exp,y ×EF H2，y

[0119] Among them, the HDS exp，y is the net external hydrogen supply of the project in year y,

[0120] The EF H2，y is the average emission factor for hydrogen production in the project area;

[0121] The average emission factor for hydrogen production in the region where the project is located is determined based on the following formula:

[0122]

[0123] Among them, the EF H2,j,y is the emission factor of hydrogen production method j in the project area in year y, in tons of carbon dioxide per ton (tCO2 / t);

[0124] The HG H2,j,y It is the amount of hydrogen produced by hydrogen production method j in the project area in year y, in tons (t).

[0125] S103, determining the project scenario emissions based on the project scenario;

[0126] Specific:

[0127] PE y =EC grid,y / (1-TDL y )×EF grid,CM,y

[0128] Among them, the PE y is the project scenario emissions in year y, in tons of carbon dioxide (tCO2),

[0129] The EC grid，y is the amount of electricity that is disconnected from the power grid in the project area in year y, in megawatt-hours (MWh).

[0130] The TDL y is the power transmission and distribution loss rate of the power grid in the project area in year y, in percentage (%),

[0131] The EF grid,CM,yis the combined marginal emission factor of the power grid in the project area in year y, expressed in tons of carbon dioxide per megawatt-hour (tCO2 / MWh).

[0132] S104. Calculate carbon emission reductions using the baseline emissions and the project scenario emissions.

[0133] Specific:

[0134] ER y =BE y -PE y

[0135] Among them, the BE y is the baseline emissions of the project in year y, in tons of carbon dioxide (tCO2),

[0136] The PE y is the project scenario emissions in year y, in tons of carbon dioxide (tCO2).

[0137] Specifically, the data and parameters that need to be monitored by the above method mainly include: the net external power supply of the project, the conversion efficiency of the project's power storage equipment, the net external heat supply of the project, the hydrogen refueling volume of vehicles of model i at the hydrogen refueling station, the net external hydrogen supply of the project, and the power grid offline in the project area.

[0138] The data and parameters that do not need to be monitored mainly include: the weight of the marginal emission factor of electricity, the weight of the marginal emission factor of capacity, the thermal emission factor of the project area, the net calorific value of the fuel consumed by the baseline vehicle of model i, the CO2 emission factor of the fuel consumed by the baseline vehicle of model i, the unit mileage fuel consumption of the baseline vehicle of model i, the unit mileage energy consumption of the project vehicle of model i, the emission factor of hydrogen production method j in the project area, the hydrogen production volume of hydrogen production method j in the project area, the marginal emission factor of electricity of the power grid in the project area, and the marginal emission factor of capacity of the power grid in the project area.

[0139] Specifically, the data and parameters that need to be monitored are shown in Table 1, and the data and parameters that do not need to be monitored are shown in Table 2:

[0140] Table 1

[0141]

[0142]

[0143] Table 2

[0144]

[0145]

[0146]

[0147] In summary, the above-mentioned carbon emission reduction quantification methods for comprehensive utilization of renewable energy power to produce hydrogen mainly include: project and emission source identification, baseline scenario and project scenario identification, baseline scenario carbon emissions accounting and project scenario carbon emissions accounting, carbon emission reduction accounting, carbon emission reduction accounting results and evaluation, and data quality management.

[0148] Through the above technical scheme, the quantitative accounting method and related equipment for carbon emission reduction from comprehensive utilization of electric power hydrogen production provided by the present invention can solve the problem that the quantitative accounting of carbon emission reduction in the electric power hydrogen production industry is not standardized enough. The present invention calculates the carbon emission reduction by verifying the baseline emissions and the project scenario emissions, and formulates the correct measurement of hydrogen energy carbon emission reduction according to the characteristics of the hydrogen production project, thereby providing a standard for the quantitative accounting of carbon emission reduction in the electric power hydrogen production industry.

[0149] Furthermore, as a response to the above Figure 1 In order to realize the method shown in the figure, the embodiment of the present invention also provides a device for quantitatively calculating carbon emission reduction of comprehensive utilization of electric power hydrogen production, which is used to calculate the carbon emission reduction of the above-mentioned Figure 1 The device embodiment corresponds to the aforementioned method embodiment. For ease of reading, this device embodiment will not repeat the details of the aforementioned method embodiment one by one, but it should be clear that the device in this embodiment can correspond to all the contents of the aforementioned method embodiment. Figure 3 As shown, the device includes: an identification unit 21, a first determination unit 22, a second determination unit 23 and a calculation unit 24, wherein

[0150] An identification unit 21, used to identify project and emission source information to determine scenario information, wherein the scenario information includes a baseline scenario and a project scenario;

[0151] A first determining unit 22, configured to determine a baseline emission amount based on the baseline scenario;

[0152] A second determination unit 23, configured to determine a project scenario emission amount based on the project scenario;

[0153] The calculation unit 24 is used to calculate the carbon emission reduction amount through the baseline emission amount and the project scenario emission amount.

[0154] The processor includes a kernel, which calls the corresponding program unit from the memory. One or more kernels can be set, and a quantitative accounting method for carbon emission reduction in the comprehensive utilization of electric hydrogen production is implemented by adjusting kernel parameters, which can solve the problem that the quantitative accounting of carbon emission reduction in the electric hydrogen production industry is not standardized.

[0155] An embodiment of the present invention provides a computer-readable storage medium, which includes a stored program, and when the program is executed by a processor, the method for quantitatively calculating carbon emission reduction from comprehensive utilization of electric power to hydrogen is implemented.

[0156] An embodiment of the present invention provides a processor, which is used to run a program, wherein the program executes the method for quantitatively calculating carbon emission reductions from comprehensive utilization of electric power to hydrogen when running.

[0157] An embodiment of the present invention provides an electronic device, the electronic device comprising at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the above-mentioned carbon emission reduction quantitative accounting method for comprehensive utilization of electric power to hydrogen

[0158] An embodiment of the present invention provides an electronic device 30, such as Figure 4 As shown, the electronic device includes at least one processor 301, and at least one memory 302 and a bus 303 connected to the processor; wherein the processor 301 and the memory 302 communicate with each other via the bus 303; the processor 301 is used to call the program instructions in the memory to execute the above-mentioned quantitative accounting method for carbon emission reduction from comprehensive utilization of electric power to hydrogen.

[0159] The intelligent electronic devices in this article can be PCs, PADs, mobile phones, etc.

[0160] The present application also provides a computer program product, which, when executed on a process management electronic device, is suitable for executing a program that initializes the steps of the above-mentioned method for quantitative accounting of carbon emission reductions from comprehensive utilization of electric power to hydrogen.

[0161] It should be noted that in the above embodiments, the description of each embodiment has its own emphasis, and for parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0162] Those skilled in the art will appreciate that the embodiments of the present application may be provided as methods, systems, or computer program products. Therefore, the present application may adopt the form of a complete hardware embodiment, a complete software embodiment, or an embodiment in combination with software and hardware. Moreover, the present application may adopt the form of a computer program product implemented in one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) that include computer-usable program code.

[0163] The present application is described with reference to the flowcharts and / or block diagrams of the methods, devices (systems), and computer program products according to the embodiments of the present application. It should be understood that each process and / or box in the flowchart and / or block diagram, as well as the combination of the processes and / or boxes in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded computer, or other programmable data processing device to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowchart and / or block diagram. Figure 1 A process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0164] These computer program instructions may also be stored in a computer-readable memory capable of directing a computer or other programmable data processing device to operate in a specific manner, so that the instructions stored in the computer-readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 A process or multiple processes and / or boxes Figure 1 A function specified in one or more boxes.

[0165] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operating steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing instructions for implementing the process. Figure 1 A process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0166] The present application also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device is caused to execute the following Figure 1 This corresponds to the flow of control of the memory in the embodiment.

[0167] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on the computer, the process or function according to the embodiment of the present application is generated in whole or in part. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices. The computer instructions can be stored in a computer-readable storage medium, or transmitted from one computer-readable storage medium to another computer-readable storage medium. For example, the computer instructions can be transmitted from a website site, a computer, a server or a data center by wired (e.g., coaxial cable, optical fiber, digital subscriber line (digital subscriber line, DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) mode to another website site, computer, server or data center. The computer-readable storage medium can be any available medium that a computer can store or a data storage device such as a server or a data center that includes one or more available media integration. The available medium can be a magnetic medium, (e.g., a floppy disk, a hard disk, a tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid state drive (SSD)), etc.

[0168] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0169] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of units is only a logical function division. There may be other division methods in actual implementation. For example, multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0170] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0171] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0172] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the various embodiments of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (Read-Only Memory, ROM), random access memory (Random Access Memory, RAM), disk or optical disk and other media that can store program codes.

[0173] The above embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or replace some of the technical features therein by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A quantitative accounting method for carbon emission reduction from comprehensive utilization of electric power to hydrogen, characterized in that: include: Identify project and emission source information to determine scenario information, wherein the scenario information includes a baseline scenario and a project scenario; Determining baseline emissions based on the baseline scenario; Determining project scenario emissions based on the project scenario; The carbon emission reduction is calculated by using the baseline emissions and the project scenario emissions.

2. The method according to claim 1, characterized in that The determining of the baseline emissions based on the baseline scenario includes: The baseline emissions are determined based on the following formula: BE y =BE elec，y +BE heat，y +BE fuel，y +BE hydr，y Among them, the BE y is the baseline emissions of the project in year y, The BE elec，y is the baseline emission amount when the net external power supply of the project in year y is supplied by the energy storage system, The BE heat，y is the baseline emission generated by the heat supply of the region where the project’s net external heat supply is located in year y, The BE fuel，y The baseline emissions generated by a gas station refueling the same vehicle model. The BE hydr，y It is the baseline emissions generated by the net external hydrogen supply of the project in the region in year y.

3. The method according to claim 2, characterized in that The baseline emissions when the net external power supply of the project in year y is supplied by the energy storage system are determined based on the following formula: BE elec，y =EG exp，y / (1-SP elec，y )×EF grid，CM，y Among them, the EG exp，y is the external power supply of the project in year y, The SP elec，y is the conversion efficiency of the power storage equipment in the yth cycle project, The EF grid，CM，y is the combined marginal emission factor of the power grid in the project area in year y; Determine the combined marginal emission factor of the power grid in the project area in year y based on the following formula: IF grid，CM，y =EF grid，OM，y ×ω OM +EF grid，BM，y ×ω BM Among them, the EF grid，OM，y is the marginal emission factor of the power grid in the project area in year y, The EF grid，BM，y is the capacity marginal emission factor of the power grid in the project area in year y, The ω OM is the marginal emission factor weight of electricity quantity, The ω BM is the capacity marginal emission factor weight.

4. The method according to claim 2, characterized in that: The baseline emissions of the net external heat supply of the project in year y generated by the heat supply in the region are determined based on the following formula: BE heat，y =HS exp，y ×EF hsn，y Among them, the HS exp，y is the external heat supply of the project in year y, The EF hsn，y is the thermal emission factor of the region where the project is located in year y.

5. The method according to claim 2, characterized in that: The baseline emissions generated by the gas station for refueling the same vehicle model are determined based on the following formula: BE fuel，y =S i f i，y ×EC hrs，i，y ×NCV fuel，i，y ×EF CO2，i，y Among them, the f i，y is the energy consumption per unit mileage ratio of the baseline vehicle and the project vehicle with model i in year y, The EC hrs，i，y is the amount of hydrogen refueled at the hydrogen refueling station for vehicle type i in year y, The NCV fuel，i，y is the net calorific value of fuel consumed by the baseline vehicle of model i in year y, The EF CO2，i，y is the CO2 emission factor of the fuel consumed by the baseline vehicle of model i in year y, The f i，y is the energy consumption ratio per unit mileage of the baseline vehicle and the project vehicle; The energy consumption ratio per unit mileage of the baseline vehicle and the project vehicle is determined based on the following formula: Wherein, the SFC fuel，i，y is the unit mileage fuel consumption value of the baseline vehicle with model i in year y, The SFC H2，i，y It is the energy consumption per unit mileage of the project vehicle with model i in year y.

6. The method according to claim 2, characterized in that The baseline emissions of net external hydrogen supplied by the project in year y from the region are determined based on the following formula: BE hydr，y =HDS exp，y ×EF H2，y Among them, the HDS exp，y is the net external hydrogen supply of the project in year y, The EF H2，y is the average emission factor for hydrogen production in the project area; The average emission factor for hydrogen production in the region where the project is located is determined based on the following formula: Among them, the EF H2，j，y is the emission factor of hydrogen production method j in the project area in year y; The HG H2，j，y It is the amount of hydrogen produced by hydrogen production method j in the project area in year y.

7. The method according to claim 1, characterized in that The determining of the project scenario emissions based on the project scenario based on the following formula includes: PE y =EC grid，y / (1-TDL y )×EF grid，CM，y Among them, the PE y is the project scenario emissions in year y, The EC grid，y is the amount of electricity that is disconnected from the power grid in the project area in year y, The TDL y is the power transmission and distribution loss rate of the power grid in the project area in year y, The EF grid，CM，y is the combined marginal emission factor of the power grid in the project area in year y.

8. The method according to claim 1, characterized in that: The carbon emission reductions calculated by using the baseline emissions and the project scenario emissions include: The carbon reduction is determined based on the following formula: IS y =BE y -PE y Among them, the BE y is the baseline emissions of the project in year y, The PE y is the project scenario emissions in year y.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium includes a stored program, wherein when the program is executed by a processor, the steps of the method for quantitatively calculating carbon emission reductions from comprehensive utilization of electric power to hydrogen as described in any one of claims 1 to 8 are implemented.

10. An electronic device, characterized in that: The electronic device includes at least one processor and at least one memory connected to the processor; wherein the processor is used to call program instructions in the memory to execute the steps of the quantitative accounting method for carbon emission reduction from comprehensive utilization of electric power to hydrogen as described in any one of claims 1 to 8.

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