Project carbon emission reduction accounting method and device, computer equipment and storage medium

Abstract

The invention provides a project carbon emission reduction accounting method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining basic data related to a project, the basic data comprises energy consumption data, raw material use data, production process data and emission source information, and the emission source information is used for indicating at least one first carbon emission source; determining first activity level data and a first carbon emission factor corresponding to each first carbon emission source according to the basic data; according to the first activity level data and the first carbon emission factor, calculating and determining a first carbon emission in the project scene; the difference value between the first carbon emission and the second carbon emission is determined as the carbon emission reduction of the project, and the second carbon emission is the carbon emission under the datum line scene before the project is implemented. Therefore, the accuracy and the application range can be effectively improved while the project carbon emission reduction accounting process is simplified.

Description

Technical Field

[0001] The present disclosure relates to the field of carbon emission technology, and in particular to a method, device, computer equipment and storage medium for calculating carbon emission reductions of a project. Background Art

[0002] A project's carbon emissions reduction is a key indicator of its environmental benefits. It directly demonstrates its positive contribution to mitigating climate change, helping companies demonstrate their social responsibility and enhance their brand image. For policymakers, accurate carbon emissions reduction accounting data is the cornerstone for formulating scientific and rational emissions reduction policies and planning future development paths. It also helps rationally allocate resources and promote the green transformation of industries.

[0003] In related technologies, when calculating project carbon emission reductions, the accuracy is low, the scope of application is limited, and the calculation process is relatively complicated. Summary of the Invention

[0004] The present disclosure aims to solve one of the technical problems in the related art at least to a certain extent.

[0005] To this end, the purpose of the present disclosure is to propose a project carbon emission reduction accounting method, device, computer equipment and storage medium, thereby simplifying the project carbon emission reduction accounting process while effectively improving accuracy and scope of application.

[0006] To achieve the above-mentioned purpose, the method for calculating carbon emission reductions of a project proposed in the first embodiment of the present disclosure includes:

[0007] Acquiring basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data, and emission source information, wherein the emission source information is used to indicate at least one first carbon emission source;

[0008] determining, based on the basic data, first activity level data and a first carbon emission factor corresponding to each of the first carbon emission sources;

[0009] Calculate and determine a first carbon emission amount under the project scenario based on the first activity level data and the first carbon emission factor;

[0010] The difference between the first carbon emissions and the second carbon emissions is determined as the carbon emission reduction of the project, wherein the second carbon emissions are the carbon emissions under the baseline scenario before the implementation of the project.

[0011] To achieve the above-mentioned purpose, the project carbon emission reduction accounting device proposed in the second embodiment of the present disclosure includes:

[0012] an acquisition module, configured to acquire basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data, and emission source information, wherein the emission source information is used to indicate at least one first carbon emission source;

[0013] a first determining module, configured to determine, based on the basic data, first activity level data and a first carbon emission factor corresponding to each of the first carbon emission sources;

[0014] a second determination module, configured to calculate and determine a first carbon emission amount under a project scenario based on the first activity level data and the first carbon emission factor;

[0015] The third determination module is used to determine the difference between the first carbon emissions and the second carbon emissions as the carbon emission reduction of the project, wherein the second carbon emissions are the carbon emissions under the baseline scenario before the implementation of the project.

[0016] The computer device proposed in the third embodiment of the present disclosure includes: a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, the project carbon emission reduction accounting method proposed in the first embodiment of the present disclosure is implemented.

[0017] The fourth embodiment of the present disclosure proposes a non-temporary computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the project carbon emission reduction accounting method proposed in the first embodiment of the present disclosure.

[0018] The fifth embodiment of the present disclosure proposes a computer program product. When the instructions in the computer program product are executed by a processor, the project carbon emission reduction accounting method proposed in the first embodiment of the present disclosure is executed.

[0019] The project carbon emission reduction accounting method, device, computer equipment and storage medium provided by the present disclosure obtain basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data and emission source information, and the emission source information is used to indicate at least one first carbon emission source; based on the basic data, the first activity level data and the first carbon emission factor corresponding to each first carbon emission source are determined; based on the first activity level data and the first carbon emission factor, the first carbon emissions under the project scenario are calculated and determined; the difference between the first carbon emissions and the second carbon emissions is determined as the carbon emission reduction of the project, wherein the second carbon emissions are the carbon emissions under the baseline scenario before the project is implemented. In this way, the accuracy and scope of application can be effectively improved while simplifying the project carbon emission reduction accounting process.

[0020] Additional aspects and advantages of the present disclosure will be given in part in the following description and in part will be obvious from the following description, or will be learned through practice of the present disclosure. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The above and / or additional aspects and advantages of the present disclosure will become apparent and readily understood from the following description of the embodiments in conjunction with the accompanying drawings, in which:

[0022] Figure 1 This is a flow chart of a method for calculating carbon emission reductions for a project proposed in one embodiment of the present disclosure;

[0023] Figure 2 is a flow chart of a method for calculating carbon emission reductions for a project proposed in another embodiment of the present disclosure;

[0024] Figure 3 This is a schematic diagram of the structure of a project carbon emission reduction accounting device proposed in one embodiment of the present disclosure;

[0025] Figure 4 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. DETAILED DESCRIPTION

[0026] The following describes in detail embodiments of the present disclosure, examples of which are shown in the accompanying drawings, wherein the same or similar reference numerals throughout represent the same or similar elements or elements having the same or similar functions. The embodiments described below with reference to the accompanying drawings are exemplary and are intended only to explain the present disclosure and are not to be construed as limiting the present disclosure. On the contrary, the embodiments of the present disclosure include all variations, modifications, and equivalents that fall within the spirit and scope of the appended claims.

[0027] It should be noted that the information (including but not limited to user device information, user personal information, etc.), data (including but not limited to data used for analysis, stored data, displayed data, etc.) and signals involved in this disclosure are all authorized by the user or fully authorized by all parties, and the collection, use and processing of relevant data must comply with the relevant laws, regulations and standards of relevant countries and regions.

[0028] Figure 1 It is a flowchart of a method for calculating carbon emission reductions of a project proposed in one embodiment of the present disclosure.

[0029] It should be noted that the executor of the project carbon emission reduction accounting method of this embodiment is the project carbon emission reduction accounting device, which can be implemented by software and / or hardware. The device can be configured in a computer device, and the computer device can include but is not limited to a terminal, a server, etc. For example, the terminal can be a mobile phone, a handheld computer, etc.

[0030] like Figure 1 As shown in the figure, the carbon emission reduction accounting method of this project includes:

[0031] S101: Acquire basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data and emission source information, and the emission source information is used to indicate at least one first carbon emission source.

[0032] The project may be, for example, a photovoltaic power generation project, a wind power generation project, or a hydropower generation project, etc., without limitation.

[0033] The basic data may refer to the data related to the above items.

[0034] Among them, the first carbon emission source may refer to the carbon emission source in the entire production environment after the implementation of the above-mentioned project.

[0035] In the disclosed embodiment, when basic data related to a project is obtained, reliable data support can be provided for subsequent calculation of the carbon emission reduction of the project.

[0036] S102: Determine first activity level data and first carbon emission factor corresponding to each first carbon emission source based on basic data.

[0037] Among them, the first activity level data may refer to the activity level data corresponding to the first carbon emission source (such as energy consumption, raw material usage, etc.).

[0038] The first carbon emission factor can refer to the carbon emission factor corresponding to the first carbon emission source. The carbon emission factor refers to the greenhouse gas emissions generated per unit of activity data (such as energy consumption or production), typically expressed in carbon dioxide equivalents (CO2e). It is a key parameter for measuring the impact of an activity or process on climate change and is widely used in carbon emission accounting, carbon footprint assessment, and carbon reduction target setting.

[0039] Optionally, in some embodiments, the first carbon emission factor is determined based on the following method: determining a match between the first carbon emission source and a carbon emission factor database; if the match indicates that the first carbon emission source is included in the carbon emission factor database, then using the emission factor associated with the first carbon emission source in the carbon emission factor database as the first carbon emission factor. If the match indicates that the first carbon emission source is not included in the carbon emission factor database, then determining the first carbon emission factor corresponding to the first carbon emission source based on a first preset method, wherein the first preset method includes: experimental measurement, and / or analogical analysis, and / or literature research. This ensures the practicality and reliability of the determined first carbon emission factor.

[0040] Among them, the carbon emission factor database may refer to a database containing multiple carbon emission factors constructed based on relevant knowledge in the existing field of carbon emission technology.

[0041] S103: Calculate and determine a first carbon emission amount under the project scenario based on the first activity level data and the first carbon emission factor.

[0042] In the embodiment of the present disclosure, when calculating and determining the first carbon emissions under the project scenario based on the first activity level data and the first carbon emission factor, the product value of the first activity level data and the first carbon emission factor can be calculated as the carbon emissions corresponding to the first carbon emission source, and then the sum of the carbon emissions corresponding to all first carbon emission sources can be determined as the first carbon emissions under the project scenario.

[0043] S104: Determine the difference between the first carbon emission amount and the second carbon emission amount as the carbon emission reduction amount of the project, wherein the second carbon emission amount is the carbon emission amount under the baseline scenario before the implementation of the project.

[0044] Optionally, in some embodiments, the second carbon emissions amount is determined by: determining a second carbon emission source under a baseline scenario, as well as second activity data and a second carbon emission factor corresponding to the second carbon emission source; and calculating and determining the second carbon emissions amount under the baseline scenario based on the second activity data and the second carbon emission factor. This ensures that the resulting second carbon emissions amount is compatible with the project, thereby ensuring the accuracy of the carbon emission reduction calculation results.

[0045] The second activity level data and the second carbon emission factor may refer to the activity level data and carbon emission factor corresponding to the second carbon emission source.

[0046] In this embodiment, basic data related to the project is obtained, including energy consumption data, raw material usage data, production process data, and emission source information, where the emission source information is used to indicate at least one first carbon emission source. Based on the basic data, first activity level data and a first carbon emission factor corresponding to each first carbon emission source are determined. Based on the first activity level data and the first carbon emission factor, the first carbon emissions under the project scenario are calculated and determined. The difference between the first carbon emissions and the second carbon emissions is determined as the carbon emission reduction of the project, where the second carbon emissions are the carbon emissions under the baseline scenario before the project is implemented. This simplifies the process of calculating the carbon emission reduction of the project while effectively improving its accuracy and scope of application.

[0047] Figure 2 It is a flowchart of a method for calculating carbon emission reductions of a project proposed in another embodiment of the present disclosure.

[0048] like Figure 2 As shown in the figure, the carbon emission reduction accounting method of this project includes:

[0049] S201: Acquire basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data and emission source information, and the emission source information is used to indicate at least one first carbon emission source.

[0050] S202: Determine first activity level data and first carbon emission factor corresponding to each first carbon emission source based on basic data.

[0051] S203: Calculate and determine a first carbon emission amount under the project scenario based on the first activity level data and the first carbon emission factor.

[0052] S204: Determine the difference between the first carbon emission amount and the second carbon emission amount as the carbon emission reduction amount of the project, wherein the second carbon emission amount is the carbon emission amount under the baseline scenario before the implementation of the project.

[0053] The description of S201 - S204 can be found in the above embodiment and will not be repeated here.

[0054] S205: Determine the uncertainty range corresponding to the parameters involved in the carbon emission reduction calculation process.

[0055] S206: Determine the degree of influence of the uncertainty range corresponding to each parameter on the carbon emission reduction based on the second preset method.

[0056] Among them, the uncertainty range can be used to indicate the value fluctuation range corresponding to the parameter.

[0057] Among them, the impact degree information can be used to indicate the impact degree of the uncertainty range corresponding to each parameter on the carbon emission reduction.

[0058] Optionally, in some embodiments, the second preset method is a Monte Carlo simulation method or a sensitivity analysis method. Alternatively, in the embodiments of the present disclosure, any other applicable method can be used as the second preset method to determine the degree of impact of the uncertainty range corresponding to each parameter on carbon emission reductions, without limitation.

[0059] S207: Determine a reliability assessment result of the carbon emission reduction amount based on the multiple impact degree information.

[0060] Specifically, the disclosed embodiments can determine the uncertainty ranges corresponding to the parameters involved in the carbon emission reduction calculation process; determine the degree of impact of each parameter's uncertainty range on the carbon emission reduction based on a second preset method; and determine a reliability assessment result for the carbon emission reduction based on the multiple degrees of impact information. This allows for a reliability assessment of the carbon emission reduction, providing a reliable basis for user decision-making.

[0061] In this embodiment, the uncertainty ranges corresponding to the parameters involved in the carbon emission reduction calculation process are determined; information about the degree of impact of each parameter's uncertainty range on the carbon emission reduction is determined based on a second preset method; and a reliability assessment result of the carbon emission reduction is determined based on the multiple levels of impact information. This allows for a reliability assessment of the carbon emission reduction, providing a reliable basis for user decision-making.

[0062] In summary, the present disclosure provides a method for calculating project carbon emission reductions, which includes six steps: data collection, emission factor determination, baseline scenario construction, project scenario carbon emission calculation, carbon emission reduction calculation, and uncertainty analysis.

[0063] Step 1: Data Collection: Collect basic data related to the project, including but not limited to energy consumption data (such as electricity, coal, and natural gas consumption), raw material usage data, production process data, and information on emission sources within the project boundary. Data sources can include project monitoring equipment, statistical reports, and third-party data agencies.

[0064] Step 2: Determine emission factors: Based on the collected data and in conjunction with authoritative domestic and international carbon emission factor databases, determine the various emission factors applicable to the project. For special emission sources or production processes where authoritative data is lacking, emission factors are determined through experimental measurement, analogical analysis, and literature research.

[0065] Step 3: Baseline scenario construction: Construct a baseline scenario before the project is implemented, that is, assume the carbon emissions before the project is implemented. Consider the carbon emission data of other similar projects with similar production scale, technology level and management model as the project, combine the characteristics of the project and historical data, and reasonably estimate the carbon emissions under the baseline scenario. Use the formula: Among them E 基准 Q is the carbon emissions at each stage before the project is implemented, that is, the baseline emissions. j is the activity level data of the jth emission source (such as energy consumption, raw material usage, etc.), EF j is the emission factor corresponding to the jth emission source of the project, and m is the number of types of emission sources.

[0066] Step 4: Calculate carbon emissions under the project scenario: Calculate carbon emissions under the project scenario based on the collected actual project operation data and the determined emission factors. Use the formula: Among them E 项目 is the carbon emissions under the project scenario, Q i The activity level data of the i-th emission source of the project (such as energy consumption, raw material usage, etc.), EF iis the emission factor corresponding to the i-th emission source of the project, and n is the number of emission sources.

[0067] Step 5: Calculate carbon emission reduction: Calculate the carbon emission reduction of the project by comparing the carbon emissions under the project scenario and the baseline scenario. The formula is: ER = E 基准 -E 项目 , where ER is the carbon emission reduction of the project.

[0068] Step 6: Uncertainty Analysis: Conduct uncertainty analysis on the data and parameters involved in the calculation process to assess the reliability of the carbon emission reduction calculation results. Using methods such as Monte Carlo simulation and sensitivity analysis, determine the uncertainty range of each input parameter and its impact on the carbon emission reduction calculation results, providing a reference for decision makers.

[0069] The specific application scenario takes photovoltaic power generation projects as an example:

[0070] Step 1 Data Collection:

[0071] (1) Annual power generation: The annual total power generation of the photovoltaic power generation project is obtained through the project monitoring system.

[0072] (2) Energy consumption during project construction and operation: Collect the amount of raw materials (silicon, EVA film, photovoltaic glass, etc.) and energy consumption (electricity, etc.) used during the project construction process, and the energy consumption (electricity, etc.) generated by equipment operation and maintenance during the operation phase.

[0073] Step 2: Determine emission factors: Refer to the emission factor data of the local power grid to determine the carbon emission factor of electricity, and refer to professional databases and national standards to determine the corresponding carbon emission factors for the production of various raw materials.

[0074] Step 3: Baseline scenario construction: Assume that if there is no photovoltaic power generation project in the region, electricity will be provided by traditional thermal power. Based on the power consumption structure of the region and the average carbon emission level of thermal power generation, estimate the carbon emissions under the baseline scenario. 基准 =Q 火电 ×EF 煤 , is E 基准 Baseline emissions, Q 火电 is the coal consumption of thermal power generation, EF 煤 is the carbon emission factor corresponding to coal.

[0075] Step 4 Calculation of carbon emissions of project scenario: Using Calculate the carbon emissions embodied in various raw materials during the project construction period, as well as the sum of the carbon emissions generated by energy consumption during operation.

[0076] Step 5: Calculate carbon emission reduction: By comparing the carbon emissions of the baseline scenario and the project scenario, the carbon emission reduction of the photovoltaic power generation project is obtained.

[0077] Step 6: Uncertainty analysis: Analyze factors such as the uncertainty of power generation forecasts and emission factors to assess the fluctuation range of carbon emission reduction accounting results.

[0078] Figure 3 It is a structural diagram of a project carbon emission reduction accounting device proposed in one embodiment of the present disclosure.

[0079] like Figure 3 As shown, the carbon emission reduction accounting device 30 of the project includes:

[0080] An acquisition module 301 is configured to acquire basic data related to the project, wherein the basic data includes energy consumption data, raw material usage data, production process data, and emission source information, wherein the emission source information is used to indicate at least one first carbon emission source;

[0081] A first determination module 302 is configured to determine first activity level data and a first carbon emission factor corresponding to each first carbon emission source based on the basic data;

[0082] The second determination module 303 is configured to calculate and determine a first carbon emission amount under the project scenario based on the first activity level data and the first carbon emission factor;

[0083] The third determination module 304 is configured to determine the difference between the first carbon emission amount and the second carbon emission amount as the carbon emission reduction amount of the project, wherein the second carbon emission amount is the carbon emission amount under the baseline scenario before the implementation of the project.

[0084] It should be noted that the aforementioned explanation of the project carbon emission reduction accounting method is also applicable to the project carbon emission reduction accounting device of this embodiment and will not be repeated here.

[0085] In this embodiment, basic data related to the project is obtained, including energy consumption data, raw material usage data, production process data, and emission source information, where the emission source information is used to indicate at least one first carbon emission source. Based on the basic data, first activity level data and a first carbon emission factor corresponding to each first carbon emission source are determined. Based on the first activity level data and the first carbon emission factor, the first carbon emissions under the project scenario are calculated and determined. The difference between the first carbon emissions and the second carbon emissions is determined as the carbon emission reduction of the project, where the second carbon emissions are the carbon emissions under the baseline scenario before the project is implemented. This simplifies the process of calculating the carbon emission reduction of the project while effectively improving its accuracy and scope of application.

[0086] Figure 4 A block diagram of an exemplary computer device suitable for implementing embodiments of the present disclosure is shown. Figure 4The computer device 12 shown is only an example and should not bring any limitation to the functionality and scope of use of the embodiments of the present disclosure.

[0087] like Figure 4 As shown, computer device 12 is implemented as a general-purpose computing device. Components of computer device 12 may include, but are not limited to, one or more processors or processing units 16, system memory 28, and a bus 18 that connects various system components (including system memory 28 and processing unit 16).

[0088] Bus 18 represents one or more of several types of bus structures, including a memory bus or memory controller, a peripheral bus, an accelerated graphics port, a processor, or a local bus using any of a variety of bus architectures. Examples of such architectures include, but are not limited to, the Industry Standard Architecture (ISA) bus, the Micro Channel Architecture (MAC) bus, the Enhanced ISA bus, the Video Electronics Standards Association (VESA) local bus, and the Peripheral Component Interconnection (PCI) bus.

[0089] The computer device 12 typically includes a variety of computer system readable media. These media can be any available media that can be accessed by the computer device 12, including volatile and non-volatile media, removable and non-removable media.

[0090] The memory 28 may include computer system readable media in the form of volatile memory, such as random access memory (RAM) 30 and / or cache memory 32. The computer device 12 may further include other removable / non-removable, volatile / non-volatile computer system storage media. By way of example only, the storage system 34 may be configured to read and write non-removable, non-volatile magnetic media ( Figure 4 Not shown, often called a "hard drive").

[0091] although Figure 4Not shown, a disk drive for reading and writing to a removable non-volatile disk (e.g., a "floppy disk"), and an optical disk drive for reading and writing to a removable non-volatile optical disk (e.g., a Compact Disc Read Only Memory (hereinafter referred to as: CD-ROM), a Digital Video Disc Read Only Memory (hereinafter referred to as: DVD-ROM), or other optical media) may be provided. In these cases, each drive can be connected to the bus 18 via one or more data medium interfaces. The memory 28 may include at least one program product having a set (e.g., at least one) of program modules configured to perform the functions of the various embodiments of the present disclosure.

[0092] A program / utility 40 having a set (at least one) of program modules 42 may be stored, for example, in memory 28. Such program modules 42 include, but are not limited to, an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may include an implementation of a network environment. Program modules 42 generally implement the functions and / or methods of the embodiments described herein.

[0093] The computer device 12 can also communicate with one or more external devices 14 (e.g., a keyboard, pointing device, display 24, etc.), one or more devices that enable human interaction with the computer device 12, and / or any device that enables the computer device 12 to communicate with one or more other computing devices (e.g., a network card, a modem, etc.). This communication can occur via an input / output (I / O) interface 22. Furthermore, the computer device 12 can communicate with one or more networks (e.g., a local area network (LAN), a wide area network (WAN), and / or a public network such as the Internet) via a network adapter 20. As shown, the network adapter 20 communicates with the other modules of the computer device 12 via a bus 18. It should be understood that, although not shown, other hardware and / or software modules can be used in conjunction with the computer device 12, including but not limited to microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems.

[0094] The processing unit 16 executes various functional applications and data processing by running programs stored in the system memory 28, such as implementing the project carbon emission reduction accounting method mentioned in the above embodiment.

[0095] In order to implement the above embodiments, the present disclosure also proposes a non-temporary computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, it implements the project carbon emission reduction accounting method proposed in the above embodiments of the present disclosure.

[0096] In order to implement the above embodiments, the present disclosure further proposes a computer program product. When the instruction processor in the computer program product is executed, the project carbon emission reduction accounting method proposed in the above embodiments of the present disclosure is executed.

[0097] The collection, storage, use, processing, transmission, provision and disclosure of user personal information involved in this disclosure are in compliance with relevant laws and regulations and do not violate public order and good morals.

[0098] It is important to note that personal information collected from users should be used for legitimate and reasonable purposes and should not be shared or sold beyond these legitimate uses. Furthermore, such collection / sharing should be conducted only after receiving the user's informed consent, including but not limited to notifying the user to read the user agreement / user notice and sign an agreement / authorization that includes the relevant user information before using the feature. Furthermore, any necessary steps must be taken to safeguard and secure access to such personal information and ensure that others with access to personal information comply with its privacy policy and procedures.

[0099] This disclosure contemplates providing implementations that allow users to selectively block the use or access of personal information data. Specifically, this disclosure contemplates providing hardware and / or software to prevent or block access to such personal information data. Risks can be minimized by limiting data collection and deleting data once it is no longer needed. Furthermore, where applicable, such personal information can be de-identified to protect user privacy.

[0100] In the descriptions of the aforementioned embodiments, the reference terms "one embodiment", "some embodiments", "example", "specific example", or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present disclosure. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine the different embodiments or examples described in this specification and the features of the different embodiments or examples, unless they are mutually inconsistent.

[0101] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. Throughout the present disclosure, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0102] Any process or method description in a flowchart or otherwise described herein may be understood to represent a module, segment or portion of code comprising one or more executable instructions for implementing the steps of a custom logical function or process, and the scope of the preferred embodiments of the present disclosure includes additional implementations in which functions may be performed out of the order shown or discussed, including performing functions in a substantially simultaneous manner or in the reverse order depending on the functions involved, which should be understood by those skilled in the art to which the embodiments of the present disclosure belong.

[0103] The logic and / or steps represented in the flowcharts or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing the logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (e.g., a computer-based system, a system including a processor, or other system that can fetch and execute instructions from an instruction execution system, apparatus, or device). For purposes of this specification, a "computer-readable medium" can be any device that can contain, store, communicate, propagate, or transport a program for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include the following: an electrical connection with one or more wires (electronic devices), a portable computer disk cartridge (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and programmable read-only memory (EPROM or flash memory), fiber optic devices, and a portable compact disc read-only memory (CDROM). Furthermore, the computer-readable medium may even be paper or other suitable medium on which the program is printed, since the program may be obtained electronically, for example, by optically scanning the paper or other medium and then editing, interpreting or processing it in another suitable manner if necessary, and then storing it in a computer memory.

[0104] It should be understood that various parts of the present disclosure can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, multiple steps or methods can be implemented using software or firmware stored in a memory and executed by a suitable instruction execution system. For example, if implemented using hardware, as in another embodiment, any one of the following technologies known in the art or a combination thereof can be used to implement: a discrete logic circuit having a logic gate circuit for implementing a logic function on a data signal, an application-specific integrated circuit having a suitable combination of logic gate circuits, a programmable gate array (PGA), a field programmable gate array (FPGA), etc.

[0105] Those skilled in the art will understand that all or part of the steps in the method of the above embodiment can be completed by instructing related hardware through a program, and the program can be stored in a computer-readable storage medium. When the program is executed, it includes one or a combination of the steps of the method embodiment.

[0106] In addition, the functional units in the various embodiments of the present disclosure may be integrated into a single processing module, or each unit may exist physically separately, or two or more units may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or in the form of software functional modules. If the integrated modules are implemented in the form of software functional modules and sold or used as independent products, they may also be stored in a computer-readable storage medium.

[0107] The storage medium mentioned above may be a read-only memory, a magnetic disk, or an optical disk, etc. Although the embodiments of the present disclosure have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting the present disclosure. A person of ordinary skill in the art may make changes, modifications, substitutions, and variations to the above embodiments within the scope of the present disclosure.

Claims

1. A method for calculating carbon emission reductions of a project, characterized in that: include: Acquiring basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data, and emission source information, wherein the emission source information is used to indicate at least one first carbon emission source; determining, based on the basic data, first activity level data and a first carbon emission factor corresponding to each of the first carbon emission sources; Calculate and determine a first carbon emission amount under the project scenario based on the first activity level data and the first carbon emission factor; The difference between the first carbon emissions and the second carbon emissions is determined as the carbon emission reduction of the project, wherein the second carbon emissions are the carbon emissions under the baseline scenario before the implementation of the project.

2. The method according to claim 1, wherein The first carbon emission factor is determined based on the following method: Determining a matching result between the first carbon emission source and a carbon emission factor database; If the matching result indicates that the first carbon emission source is included in the carbon emission factor database, the emission factor associated with the first carbon emission source in the carbon emission factor database is used as the first carbon emission factor.

3. The method according to claim 2, wherein The method further comprises: If the matching result indicates that the first carbon emission source is not included in the carbon emission factor database, the first carbon emission factor corresponding to the first carbon emission source is determined based on a first preset method, wherein the first preset method includes: experimental measurement method, and / or analogy analysis method, and / or literature research method.

4. The method according to claim 1, wherein The second carbon emissions are determined based on the following method: Determining a second carbon emission source under the baseline scenario, as well as second activity level data and a second carbon emission factor corresponding to the second carbon emission source; The second carbon emissions under the baseline scenario are calculated and determined based on the second activity level data and the second carbon emission factor.

5. The method according to claim 1, wherein The method further comprises: Determine the uncertainty ranges corresponding to the parameters involved in the carbon emission reduction calculation process; Determining, based on a second preset method, information on the degree of influence of the uncertainty range corresponding to each parameter on the carbon emission reduction; A reliability assessment result of the carbon emission reduction amount is determined based on the multiple pieces of impact degree information.

6. The method according to claim 5, wherein The second preset method is a Monte Carlo simulation method or a sensitivity analysis method.

7. A project carbon emission reduction accounting device, characterized in that: include: an acquisition module, configured to acquire basic data related to the project, wherein the basic data includes: energy consumption data, raw material usage data, production process data, and emission source information, wherein the emission source information is used to indicate at least one first carbon emission source; a first determining module, configured to determine, based on the basic data, first activity level data and a first carbon emission factor corresponding to each of the first carbon emission sources; a second determination module, configured to calculate and determine a first carbon emission amount under a project scenario based on the first activity level data and the first carbon emission factor; The third determination module is used to determine the difference between the first carbon emissions and the second carbon emissions as the carbon emission reduction of the project, wherein the second carbon emissions are the carbon emissions under the baseline scenario before the implementation of the project.

8. A computer device, characterized in that: include: at least one processor; as well as a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the method according to any one of claims 1 to 6.

9. A non-transitory computer-readable storage medium storing computer instructions, characterized in that: in, The computer instructions are used to cause the computer to execute the method according to any one of claims 1 to 6.

10. A computer program product, characterized in that The invention comprises a computer program which, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

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