Carbon emission accounting method, device, equipment, medium and product

Abstract

The invention discloses a carbon emission accounting method, device and equipment, a medium and a product, and relates to the field of electric power carbon emission accounting. The method comprises the following steps: acquiring information data; the information data comprises purchased electric energy of a superior power grid acquired by the data monitoring system, consumption power of the distributed power supply, charging power of the energy storage device, residual electric quantity of the energy storage device, residual carbon quantity of the energy storage device and charging and discharging states of the energy storage device; determining a carbon emission factor of the energy storage device according to the charge-discharge state of the energy storage device; determining a micro-grid carbon emission factor according to the information data and the carbon emission factor of the energy storage device; and determining the carbon emission according to the micro-grid carbon emission factor. The method aims at effectively analyzing the carbon emission condition of the micro-grid, scientific carbon emission accounting is carried out on the micro-grid, an emission reduction strategy is conveniently put forward in a targeted mode, and reduction and control of carbon emission are facilitated.

Description

Technical Field

[0001] The present application relates to the field of electricity carbon emission accounting, and in particular to a carbon emission accounting method, device, equipment, medium and product. Background Art

[0002] At present, more and more corporate parks are adopting microgrid structures. Microgrids are mainly composed of distributed power sources, energy storage devices, power loads, monitoring, protection and automation devices, etc. It is a small power supply network that can basically achieve internal power balance. Its carbon emission calculation is an important working basis for creating low-carbon or even zero-carbon small power networks.

[0003] Most existing studies only consider the carbon emissions of power generation companies and provincial power grids, without considering the carbon emissions of microgrids and the calculation of their carbon emission factors. There are problems in many aspects such as measurement accuracy, temporal and spatial differences, and multi-energy complexity. Summary of the invention

[0004] The purpose of this application is to provide a carbon emission accounting method, device, equipment, medium and product, which can effectively analyze the carbon emissions of microgrids, and conduct scientific carbon emission accounting for microgrids, facilitate targeted emission reduction strategies, and help reduce and control carbon emissions.

[0005] To achieve the above objectives, this application provides the following solutions: In a first aspect, the present application provides a carbon emission accounting method, which is applied to a microgrid system; the microgrid system includes: a distributed power supply, an energy storage device and a data monitoring system; the carbon emission accounting method includes: Acquiring information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charging and discharging status of the energy storage device acquired by the data monitoring system; Determine the carbon emission factor of the energy storage device according to the charging and discharging state of the energy storage device; Determine the carbon emission factor of the microgrid based on the information data and the carbon emission factor of the energy storage device; Determine carbon emissions based on the microgrid carbon emission factor.

[0006] Optionally, the carbon emission factor of the energy storage device is determined according to the charge and discharge state of the energy storage device, specifically including: When the energy storage device is in a charging state, the energy storage device acts as a load device, and the internal electricity and carbon flow accumulate over time. The corresponding carbon emission factor is calculated as follows: ; in, is the carbon emission factor corresponding to the end node of the t+Nth period; is the remaining carbon amount of the energy storage device corresponding to the end node of the tth period; is the increment value of the time period serial number; t is the time period serial number; The number of time periods in continuous charging state; is the charging power of the energy storage device in the t+ith period; is the carbon emission factor of the microgrid corresponding to the node at the end of the t+ith period; is the unit time period; is the remaining power of the energy storage device corresponding to the node at the end of the tth period; is the discharge efficiency of the energy storage device.

[0007] Optionally, the carbon emission factor of the energy storage device is determined according to the charge and discharge state of the energy storage device, specifically including: When the energy storage device is in a discharging state, the energy storage device acts as a power source. At this time, the carbon emission factor of the energy storage device is the carbon emission factor at the end of the last charging.

[0008] Optionally, determining the carbon emission factor of the microgrid according to the information data and the carbon emission factor of the energy storage device specifically includes: According to the carbon emission factor of the energy storage device, determine the real-time carbon factor curve of the microgrid; The carbon emission factor of the microgrid is determined according to the real-time carbon factor curve of the microgrid and the information data.

[0009] Optionally, the calculation formula of the microgrid carbon emission factor is: ; in, is the carbon emission factor of the microgrid; To purchase electricity from the upper grid; is the regional carbon emission factor; is the charge and discharge status of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the power consumption of distributed power generation.

[0010] Optionally, the carbon emissions are determined according to the microgrid carbon emission factor, specifically including: ; in, is the carbon emission of the nth user in the microgrid in the tth period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid in the tth period; The unit time period.

[0011] In a second aspect, the present application provides a carbon emission accounting device, comprising: An information data acquisition module is used to acquire information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon content of the energy storage device, and the charge and discharge status of the energy storage device acquired by the data monitoring system; A carbon emission factor determination module, used to determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device; A microgrid carbon emission factor determination module, used to determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device; The carbon emission determination module is used to determine the carbon emission according to the carbon emission factor of the microgrid.

[0012] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the carbon emission accounting method described above.

[0013] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which implements the above-mentioned carbon emission accounting method when executed by a processor.

[0014] In a fifth aspect, the present application provides a computer program product, including a computer program, which implements the above-mentioned carbon emission accounting method when executed by a processor.

[0015] According to the specific embodiments provided in this application, this application has the following technical effects: The present application provides a carbon emission accounting method, device, equipment, medium and product, which determines the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device; determines the carbon emission factor of the microgrid according to the information data and the carbon emission factor of the energy storage device; and determines the carbon emission amount according to the carbon emission factor of the microgrid. The present application takes into account the distributed power sources and energy storage devices in the microgrid, can effectively analyze the carbon emissions of the microgrid, and conducts scientific carbon emission accounting for the microgrid, which facilitates the targeted proposal of emission reduction strategies and helps to reduce and control carbon emissions. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments will be briefly introduced below. 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 paying creative work.

[0017] Figure 1 A flowchart of the carbon emission accounting method; Figure 2 This is a schematic diagram of the park microgrid architecture; Figure 3 It is the algorithm flow chart corresponding to the carbon emission accounting method in practical application; Figure 4 This is a schematic diagram of the steady-state power flow distribution of the IEEE 5-machine 14-bus system; Figure 5 It is a schematic diagram of the power curve; Figure 6 It is a schematic diagram of the time-varying carbon factor curve of the microgrid; Figure 7 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0018] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0019] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0020] In an exemplary embodiment, Figure 1 As shown, a carbon emission accounting method is provided. The method is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to a server as an example for explanation, and includes the following steps.

[0021] The carbon emission accounting method mentioned in this application is applied to a microgrid system; the microgrid system includes: a distributed power source, an energy storage device and a data monitoring system.

[0022] like Figure 1 As shown, carbon emission accounting methods include: Step 100: Obtain information data. The information data includes: the purchased power of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon content of the energy storage device, and the charge and discharge status of the energy storage device acquired by the data monitoring system.

[0023] Step 200: Determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device.

[0024] Step 300: Determine the carbon emission factor of the microgrid based on the information data and the carbon emission factor of the energy storage device.

[0025] Step 400: Determine carbon emissions according to the microgrid carbon emission factor.

[0026] As an optional implementation mode, the carbon emission factor of the energy storage device is determined according to the charge and discharge state of the energy storage device, specifically including: When the energy storage device is in a charging state, the energy storage device acts as a load device, and the internal electricity and carbon flow accumulate over time. The corresponding carbon emission factor is calculated as follows: .

[0027] in, is the carbon emission factor corresponding to the end node of the t+Nth period; is the remaining carbon amount of the energy storage device corresponding to the end node of the tth period; is the increment value of the time period serial number; t is the time period serial number; The number of time periods in continuous charging state; is the charging power of the energy storage device in the t+ith period; is the carbon emission factor of the microgrid corresponding to the node at the end of the t+ith period; is the unit time period; is the remaining power of the energy storage device corresponding to the node at the end of the tth period; is the discharge efficiency of the energy storage device.

[0028] When the energy storage device is in a discharging state, the energy storage device acts as a power source. At this time, the carbon emission factor of the energy storage device is the carbon emission factor at the end of the last charging.

[0029] In one embodiment, the carbon emission factor of the microgrid is determined based on the information data and the carbon emission factor of the energy storage device, specifically including: determining a real-time carbon factor curve of the microgrid based on the carbon emission factor of the energy storage device; determining the carbon emission factor of the microgrid based on the real-time carbon factor curve of the microgrid and the information data.

[0030] The calculation formula of microgrid carbon emission factor is: .

[0031] in, is the carbon emission factor of the microgrid; To purchase electricity from the upper grid; is the regional carbon emission factor; is the charge and discharge status of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the power consumption of distributed power generation.

[0032] Carbon emissions are determined based on the microgrid carbon emission factor, including: .

[0033] in, is the carbon emission of the nth user in the microgrid in the tth period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid in the tth period; The unit time period.

[0034] In practical applications, the specific operating steps of the method mentioned in this application can also be as follows.

[0035] like Figure 3 As shown in the figure, the power sector first uses the power system carbon measurement method based on carbon emission flow theory to calculate the regional carbon emission factor (Regional carbon emission factors are at the provincial and municipal levels, with a longer update cycle, usually years / months), and the microgrid data monitoring system (microgrid carbon emission factors are at the township or park level, with an update cycle of hours or minutes) transmits data as the carbon emission factor of the upper-level power grid injecting electricity into the microgrid system.

[0036] Secondly, at the beginning node of each unit time period Δt, the purchased power of the upper power grid is obtained in the microgrid data monitoring system. , the power consumption of distributed power generation is , the charging power of the energy storage device , the remaining power of the energy storage device corresponding to the node at the end of the tth period , the remaining carbon amount of the energy storage device corresponding to the node at the end of the tth period and the charge and discharge status of the energy storage device (Charge: SW =0; discharge: SW= 1).

[0037] Then, the carbon emission factor of the energy storage device is calculated. When the energy storage device is charged, it can be regarded as a load device. The internal electricity and carbon flow accumulate over time. The expression of the carbon emission factor is: .

[0038] in, is the carbon emission factor corresponding to the end node of the t+Nth period; is the remaining carbon amount of the energy storage device corresponding to the end node of the tth period; is the increment value of the time period serial number; t is the time period serial number; The number of time periods in continuous charging state; is the charging power of the energy storage device in the t+ith period; is the carbon emission factor of the microgrid corresponding to the node at the end of the t+ith period; is the unit time period; is the remaining power of the energy storage device corresponding to the node at the end of the tth period; is the discharge efficiency of the energy storage device.

[0039] When the energy storage device is discharged, it can be regarded as a power source, and the carbon emission factor at this time is the carbon emission factor at the end of the last charge.

[0040] Finally, the real-time carbon factor curve of the microgrid is calculated. According to the data obtained from the microgrid data monitoring center, the carbon emission factor of the microgrid is The calculation formula is: .

[0041] in, is the carbon emission factor of the microgrid; To purchase electricity from the upper grid; is the regional carbon emission factor; is the charge and discharge status of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the power consumption of distributed power generation.

[0042] The microgrid carbon emission factor determines the carbon emissions, including: ; in, is the carbon emission of the nth user in the microgrid in the tth period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid in the tth period; The unit time period.

[0043] The essence of this application is a method for calculating carbon emission factors that considers local distributed power sources and energy storage devices, which is suitable for scientific carbon emission accounting of microgrids. Figure 2 As shown in the figure, the IEEE14 node model is used as an example, the network loss in the transmission and distribution process is considered, and the Newton-Raphson algorithm in polar coordinates is used to calculate the system power flow distribution. The output of each unit in the system, the user load and the system steady-state active power flow distribution are shown in Figure 4 As shown, Figure 4 All decimal values ​​are active power in MW.

[0044] Given the carbon emission intensity vector of all power generation units (in gCO2 / (kW·h)), G1 is assumed to be a coal-fired unit with a high carbon emission intensity; G2 and G4 are gas-fired units with a low carbon emission intensity; G3 and G5 are distributed wind power generation and hydropower units with a carbon emission intensity of 0. Power generation carbon emission factor vector It can be expressed as: .

[0045] in, is transposed.

[0046] The node active flux and node carbon potential of the 14 nodes are calculated as shown in Table 1. The node carbon potential in Table 1 is the regional carbon emission factor of the load connected to the busbar of this node.

[0047]

[0048] The microgrid connected to the bus outlet of node 13 is selected as the analysis object. It can be seen from Table 1 that the carbon emission factor of the upper grid of the microgrid is 0.69219 kgCO2 / (kW·h), the maximum input power of the upper grid is 13.5MW, and the new energy is set to photovoltaic and wind power generation. Both are connected to the bus, with rated power generation of 4.5MW and 8MW respectively, and 4MW energy storage equipment is also equipped. The time interval is set to 1h.

[0049] The 24-hour load, new energy, upper power grid, and 24-hour power curve of the energy storage device used in the embodiment are as follows: Figure 5 As shown, according to the microgrid carbon emission factor calculation method proposed in the present invention, the microgrid time-varying carbon factor curve is obtained as shown in Figure 6 As shown, relevant departments can adjust users' electricity consumption behavior according to the time-varying carbon emission factor curve to scientifically and effectively control and reduce carbon emissions.

[0050] In summary, the method provided in this application can effectively analyze the carbon emissions of microgrids, conduct scientific carbon emissions accounting for microgrids, facilitate targeted emission reduction strategies, and help reduce and control carbon emissions.

[0051] This application uses a power system carbon measurement method based on carbon emission flow theory to obtain a regional carbon emission factor, which to a certain extent reflects the temporal and spatial difference characteristics of carbon emissions.

[0052] This application considers the distributed power sources and energy storage devices in the microgrid to obtain an accurate carbon metering method for microgrid users.

[0053] This application adjusts users' electricity consumption behavior according to the time-varying carbon emission factor curve, which can scientifically and effectively control and reduce carbon emissions and provide a data basis for policy making by relevant departments.

[0054] Based on the same inventive concept, the embodiment of the present application also provides a carbon emission accounting device for implementing the carbon emission accounting method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more carbon emission accounting device embodiments provided below can refer to the limitations of the carbon emission accounting method above, and will not be repeated here.

[0055] In an exemplary embodiment, a carbon emission accounting device is provided, comprising: The information data acquisition module is used to acquire information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon content of the energy storage device, and the charging and discharging status of the energy storage device acquired by the data monitoring system.

[0056] The carbon emission factor determination module is used to determine the carbon emission factor of the energy storage device according to the charging and discharging state of the energy storage device.

[0057] The microgrid carbon emission factor determination module is used to determine the microgrid carbon emission factor based on the information data and the carbon emission factor of the energy storage device.

[0058] The carbon emission determination module is used to determine the carbon emission according to the carbon emission factor of the microgrid.

[0059] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 7 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. The processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. The processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store carbon emission accounting data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a carbon emission accounting method is implemented.

[0060] Those skilled in the art will understand that Figure 7 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0061] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0062] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the steps in the above method embodiments are implemented.

[0063] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with relevant regulations.

[0064] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. By way of illustration and not limitation, RAM may be in various forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM).

[0065] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but is not limited thereto.

[0066] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0067] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A carbon emission accounting method, characterized in that: The carbon emission accounting method is applied to a microgrid system; The microgrid system includes: a distributed power source, an energy storage device and a data monitoring system; the carbon emission accounting method includes: Acquiring information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon amount of the energy storage device, and the charging and discharging status of the energy storage device acquired by the data monitoring system; Determine the carbon emission factor of the energy storage device according to the charging and discharging state of the energy storage device; Determine the carbon emission factor of the microgrid based on the information data and the carbon emission factor of the energy storage device; Determine carbon emissions based on the microgrid carbon emission factor.

2. The carbon emission accounting method according to claim 1, characterized in that: According to the charging and discharging status of the energy storage device, the carbon emission factor of the energy storage device is determined, including: When the energy storage device is in a charging state, the energy storage device acts as a load device, and the internal electricity and carbon flow accumulate over time. The corresponding carbon emission factor is calculated as follows: ； in, is the carbon emission factor corresponding to the end node of the t+Nth period; is the remaining carbon amount of the energy storage device corresponding to the end node of the tth period; is the increment value of the time period serial number; t is the time period serial number; The number of time periods in continuous charging state; is the charging power of the energy storage device in the t+ith period; is the carbon emission factor of the microgrid corresponding to the node at the end of the t+ith period; is the unit time period; is the remaining power of the energy storage device corresponding to the node at the end of the tth period; is the discharge efficiency of the energy storage device.

3. The carbon emission accounting method according to claim 1, characterized in that: According to the charging and discharging status of the energy storage device, the carbon emission factor of the energy storage device is determined, including: When the energy storage device is in a discharging state, the energy storage device acts as a power source. At this time, the carbon emission factor of the energy storage device is the carbon emission factor at the end of the last charging.

4. The carbon emission accounting method according to claim 1, characterized in that: Determining the carbon emission factor of the microgrid according to the information data and the carbon emission factor of the energy storage device specifically includes: According to the carbon emission factor of the energy storage device, determine the real-time carbon factor curve of the microgrid; The carbon emission factor of the microgrid is determined according to the real-time carbon factor curve of the microgrid and the information data.

5. The carbon emission accounting method according to claim 1, characterized in that: The calculation formula of the microgrid carbon emission factor is: ； in, is the carbon emission factor of the microgrid; To purchase electricity from the upper grid; is the regional carbon emission factor; is the charge and discharge status of the energy storage device; is the charging power of the energy storage device; is the carbon emission factor of the energy storage device; is the power consumption of distributed power generation.

6. The carbon emission accounting method according to claim 1, characterized in that: Carbon emissions are determined based on the microgrid carbon emission factor, including: ； in, is the carbon emission of the nth user in the microgrid in the tth period; is the carbon emission factor of the microgrid; is the power consumption of the nth user in the microgrid in the tth period; The unit time period.

7. A carbon emission accounting device, characterized in that: The carbon emission accounting device comprises: An information data acquisition module is used to acquire information data; the information data includes: the purchased electric energy of the upper power grid, the power consumption of the distributed power source, the charging power of the energy storage device, the remaining power of the energy storage device, the remaining carbon content of the energy storage device, and the charging and discharging status of the energy storage device acquired by the data monitoring system; A carbon emission factor determination module, used to determine the carbon emission factor of the energy storage device according to the charge and discharge state of the energy storage device; A microgrid carbon emission factor determination module, used to determine the microgrid carbon emission factor according to the information data and the carbon emission factor of the energy storage device; The carbon emission determination module is used to determine the carbon emission according to the carbon emission factor of the microgrid.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the carbon emission accounting method according to any one of claims 1 to 6.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the carbon emission accounting method according to any one of claims 1 to 6 is implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the carbon emission accounting method according to any one of claims 1 to 6 is implemented.

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