CN113486299A - Regional real-time carbon emission data accounting method, device, equipment and storage medium - Google Patents
Regional real-time carbon emission data accounting method, device, equipment and storage medium Download PDFInfo
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Abstract
The disclosure relates to the technical field of low carbon, and provides a regional level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data. The regional real-time carbon emission data accounting method comprises the following steps: constructing a carbon emission accounting model based on department activity level data; collecting activity level data of various departments in real time; performing data cleaning on the collected activity level data of various departments; and substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional division. By utilizing the method and the device, the regional carbon emission can be accounted in real time or near real time, the daily carbon emission data of regional division can be generated, and the problems that the current carbon emission data set has time lag of one year or more and does not have daily or hour-level carbon emission data are solved.
Description
Technical Field
The disclosure relates to the technical field of low carbon, in particular to a regional level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data.
Background
The carbon emission data is basic scientific data for coping with climate change and taking climate action in each country, and refers to carbon emission obtained by observing or calculating through a related method. For a long time, for carbon emission caused by human activities such as fossil fuel combustion and industrial production process in various countries, accounting is generally carried out based on the method in '2006 IPCC national greenhouse gas list guideline catalogue'. The national carbon emission is equal to the sum of the products of the activity level (consumption) of each type of fuel and the emission factor (carbon emission per consumption) of the corresponding fuel, namely:
combustion carbon dioxide emission data set (CO) by International Energy Agency (IEA) fuel2Emission from Fuel Combustion) as an example, it mainly uses various national energy consumption statistics data as activity level data, and carries out national carbon emission accounting based on the activity level data, specifically as shown in fig. 1, fig. 1 is a general carbon emission accounting model taking an international energy agency fossil Fuel carbon dioxide emission data set as an example at present.
However, the distribution of energy statistics tends to have a long time lag (one year or more). For example, the "yearbook for energy statistics in china" generally releases energy statistics data of the previous year in the next year, so that accounting of carbon emission data has a time lag of at least one and a half years. In addition, energy activity data is typically only counted on a yearly scale, and only a few countries publish monthly energy statistics. Thus, carbon emission data sets typically account for national carbon emissions only on an annual scale.
Current carbon emission accounting methods and carbon emission data sets have failed to meet the higher requirements for carbon emission monitoring. Under the background of taking climate actions and successively declaring a 'carbon neutralization' plan in various countries around the world, carbon emission data has time lag of one to two years, which means that the carbon emission level cannot be monitored in real time and at high frequency, the latest carbon emission change condition cannot be known, and the action effect of various climate policies cannot be evaluated in time; secondly, annual emission data cannot reflect higher-frequency (day-level or hour-level) carbon emission information, and it is difficult to conduct research on finer time granularity on the carbon emission change rule.
In summary, the current carbon emission accounting method has two major technical problems to be overcome urgently: (1) the carbon emissions data set has a time lag of one year or more; (2) no day or hour carbon emissions data are available.
Disclosure of Invention
Technical problem to be solved
In view of the above, the present disclosure provides a regional-level real-time carbon emission data accounting method, device, apparatus and storage medium based on department activity level data, so as to solve the problem that the current carbon emission data set has a time lag of one year or more and does not have day-level or hour-level carbon emission data.
(II) technical scheme
In a first aspect of the present disclosure, a regional level real-time carbon emission data accounting method based on department activity level data is provided, including: constructing a carbon emission accounting model based on department activity level data; collecting activity level data of various departments in real time; performing data cleaning on the collected activity level data of various departments; and substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional division.
In some embodiments, the constructing a carbon emissions accounting model based on department activity level data comprises: the sources of carbon emissions are divided into six main divisions: electricity, industry, residential consumption, ground traffic, aviation and marine; the carbon emission accounting model based on department activity level data uses the following formula:
the activity level of a department is data which is related to the energy consumption of the department and can represent the actual activity intensity of the department; the carbon emission factor of a department depends on the fuel consumption structure and the fuel emission factor of the department.
In some embodiments, the collecting activity level data of each type of department in real time is collecting activity level data of each type of department which is disclosed and updated in real time, and specifically includes: for the electric power department, collecting public and real-time updated firepower generating capacity in real time as activity level data of the electric power department; for the industrial department, collecting the output of the industrial product which is disclosed and updated in real time as the activity level data of the industrial department; for a resident consumption department, collecting public and real-time updated gas consumption in real time as activity level data of the resident consumption department; for a ground traffic department, collecting public traffic flow in real time and updating the traffic flow in real time as activity level data of the ground traffic department; for an aviation department, acquiring public and real-time updated flight data in real time as activity level data of the aviation department; for the shipping department, the number of ships sailing which are public and updated in real time is collected in real time as activity level data of the shipping department.
In some embodiments, the performing data cleansing on the collected various types of department activity level data includes: removing repeated items and rejecting abnormal values; supplementing missing values by using a linear interpolation method; the time resolution of the data is unified day by day.
In some embodiments, the substituting the cleaned department data into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the region-level departments includes:
carbon emissionsDepartment of departmentActivity levelDepartment of departmentX carbon emission factorDepartment of department
Since the department carbon emission factor is unchanged, therefore:
finally, the daily carbon emission of regional grading departments is obtained.
In some embodiments, after obtaining the daily carbon emission of the regional division, the method further includes: and releasing or outputting the acquired daily carbon emission data of the regional classification departments in real time.
In another aspect of the present disclosure, there is provided a regional-level real-time carbon emission data accounting apparatus based on department activity level data, including: the carbon emission accounting model building module is used for building a carbon emission accounting model based on department activity level data; the data acquisition module is used for acquiring activity level data of various departments in real time; the data cleaning module is used for cleaning the collected activity level data of various departments; and the carbon emission calculation module is used for substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional-level departments.
In still another aspect of the present disclosure, there is provided a regional-level real-time carbon emission data accounting apparatus based on department activity level data, including: one or more processors; a memory storing a computer executable program which, when executed by the processor, causes the processor to implement the regional level real-time carbon emission data accounting method based on department activity level data.
In yet another aspect of the present disclosure, a storage medium containing computer-executable instructions that, when executed, implement the regional level real-time carbon emission data accounting method based on department activity level data is provided.
In yet another aspect of the present disclosure, there is provided a computer program comprising: computer-executable instructions that when executed perform the regional level real-time carbon emission data accounting method based on department activity level data.
(III) advantageous effects
Compared with the prior art, the regional real-time carbon emission data accounting method, the regional real-time carbon emission data accounting device, the regional real-time carbon emission data accounting equipment and the regional real-time carbon emission data accounting storage medium based on department activity level data have the following beneficial effects:
according to the regional level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data, the source of carbon emission is divided into six main departments of electric power, industry, residential consumption, ground traffic, aviation and shipping, a carbon emission accounting model based on the department activity level data is built, cleaned data of each department are substituted into the carbon emission accounting model based on the department activity level data for calculation, daily carbon emission of regional level departments is obtained, regional level carbon emission can be accounted in real time or near real time, a regional level department daily carbon emission data set is generated, and the problems that the current carbon emission data set has time lag of one year or more and does not have daily level or hour level carbon emission data are solved.
According to the regional-level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data, the source of carbon emission is divided into six main departments of electric power, industry, residential consumption, ground traffic, aviation and shipping, and compared with the carbon emission accounting based on fossil fuel consumption adopted in the prior art, the regional-level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data can accurately reflect the energy consumption level of each department in an all-around mode.
According to the regional-level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data, regional-level carbon emission can be accounted in real time or near real time, a regional-level daily carbon emission data set of branch departments is generated, and compared with the prior art that annual-scale carbon emission accounting can only be performed on regional-level emission, branch-department carbon emission list data with day-scale resolution can be calculated, the resolution scale of carbon emission data accounting is improved, and more accurate carbon emission data with higher time resolution (day-scale) can be provided for relevant decision-making departments.
According to the regional-level real-time carbon emission data accounting method, device, equipment and storage medium based on department activity level data, various activity level data are collected in real time, the carbon emission is calculated in real time by using the constructed carbon emission accounting model based on the department activity level data, the carbon emission data is updated and published in real time, the capability of updating the carbon emission data in real time is achieved, and the updating and publishing capability of the carbon emission data is improved to a real-time level.
Drawings
The above and other objects, features and advantages of the present disclosure will become more apparent from the following description of embodiments of the present disclosure with reference to the accompanying drawings, in which:
FIG. 1 is a general model of carbon emissions accounting currently exemplified by the International energy agency fossil fuel carbon dioxide emissions data set.
Fig. 2 is a flow chart of a regional level real-time carbon emissions data accounting method based on department activity level data in accordance with an embodiment of the disclosure.
Fig. 3 is a schematic diagram of the selection of the activity level carbon emission sources and activity level data for each department according to an embodiment of the disclosure.
Fig. 4 is a schematic diagram of a regional level real-time carbon emissions data accounting method based on department activity level data, in accordance with an embodiment of the disclosure.
Fig. 5 is a schematic diagram of a regional level real-time carbon emissions data accounting apparatus based on department activity level data, in accordance with an embodiment of the present disclosure.
Fig. 6 is a block diagram of an electronic device for regional level real-time carbon emissions data accounting based on department activity level data in accordance with an embodiment of the disclosure.
[ reference numerals ]:
s1, S2, S3, S4: step (ii) of
500: regional real-time carbon emission data accounting device
501: carbon emission accounting model construction module
502: data acquisition module
503: data cleaning module
504: carbon emission calculation module
600: electronic device
610: processor with a memory having a plurality of memory cells
620: memory device
621: computer program
Detailed Description
Hereinafter, embodiments of the present disclosure will be described with reference to the accompanying drawings. It should be understood that the description is illustrative only and is not intended to limit the scope of the present disclosure. In the following detailed description, for purposes of explanation, numerous specific details are set forth in order to provide a thorough understanding of the embodiments of the disclosure. It may be evident, however, that one or more embodiments may be practiced without these specific details. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present disclosure.
All terms (including technical and scientific terms) used herein have the same meaning as commonly understood by one of ordinary skill in the art unless otherwise defined. It is noted that the terms used herein should be interpreted as having a meaning that is consistent with the context of this specification and should not be interpreted in an idealized or overly formal sense.
And the shapes and sizes of the respective components in the drawings do not reflect actual sizes and proportions, but merely illustrate the contents of the embodiments of the present disclosure. Furthermore, in the claims, any reference signs placed between parentheses shall not be construed as limiting the claim.
Furthermore, the word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The use of ordinal numbers such as "S1", "S2", "S3", "S4", etc., in the specification and claims to modify a claim element step is not intended to imply any previous ordinal number with respect to the claim step, nor the order in which a claimed step is sequenced from one requested step to another, or the order of manufacture of a method, and the use of such ordinal numbers is only used to clearly distinguish one requested step from another requested step by a certain name.
In response to the problem that the current carbon emission data set has a time lag of one year or more and does not have carbon emission data on the day level or the hour level, embodiments of the present disclosure improve the existing carbon emission data accounting scheme, providing the regional level real-time carbon emission data accounting method based on department activity level data as shown in fig. 2.
An embodiment of the present disclosure provides a regional level real-time carbon emission data accounting method based on department activity level data, as shown in fig. 2, fig. 2 is a flowchart of a regional level real-time carbon emission data accounting method based on department activity level data according to an embodiment of the present disclosure. It should be noted that fig. 2 is only an example of an application scenario in which the embodiment of the present disclosure may be applied to help those skilled in the art understand the technical content of the present disclosure, but does not mean that the embodiment of the present disclosure may not be used in other environments or scenarios.
As shown in fig. 2, a regional level real-time carbon emission data accounting method based on department activity level data according to an embodiment of the present disclosure includes the steps of:
step S1: constructing a carbon emission accounting model based on department activity level data;
in this step, the sources of carbon emissions are divided into six main sectors: electricity, industry, residential consumption, ground traffic, aviation and marine;
the carbon emission accounting model based on department activity level data uses the following formula:
the activity level of a department is data which is related to the energy consumption of the department and can represent the actual activity intensity of the department; the carbon emission factor of a department depends on the fuel consumption structure and the fuel emission factor of the department, and since the fuel emission factor remains stable for a certain time, the department emission factor assumption remains unchanged, and the uncertainty of the assumption is considered in the uncertainty calculation.
Step S2: collecting activity level data of various departments in real time;
in this step, the real-time collection of activity level data of various departments is real-time collection of activity level data of various departments which are disclosed and updated in real time, specifically, the main source of carbon emission of the electric power department is fossil fuel emission in the thermal power generation process, such as coal, petroleum and natural gas, so that the activity level of the electric power department can be represented by thermal power generation amount (or power generation amount); the main source of carbon emission of the ground transportation department is fossil fuel such as automobile consumption oil, so that the ground transportation department can be characterized by the traffic flow.
The selection of activity level data for each department is shown in fig. 3, and fig. 3 is a schematic diagram of the selection of activity level carbon emission sources and activity level data for each department according to the embodiment of the disclosure.
Referring to fig. 3, the collecting, in real time, activity level data of various departments, which are disclosed and updated in real time, includes: for the electric power department, collecting public and real-time updated firepower generating capacity in real time as activity level data of the electric power department; for the industrial department, collecting the output of the industrial product which is disclosed and updated in real time as the activity level data of the industrial department; for a resident consumption department, collecting public and real-time updated gas consumption in real time as activity level data of the resident consumption department; for a ground traffic department, collecting public traffic flow in real time and updating the traffic flow in real time as activity level data of the ground traffic department; for an aviation department, acquiring public and real-time updated flight data in real time as activity level data of the aviation department; for the shipping department, the number of ships sailing which are public and updated in real time is collected in real time as activity level data of the shipping department.
Step S3: performing data cleaning on the collected activity level data of various departments;
in this step, data cleaning is performed on the collected activity level data of various departments, including:
1) removing duplicate terms and rejecting outliers, wherein values greater than four times the standard deviation are generally considered outliers;
2) supplementing missing values by using a linear interpolation method; and
3) unifying temporal resolution of data as daily
Step S4: substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional division;
in this step, each department data after cleaning is substituted into the above-described carbon emission accounting model based on the department activity level data to be calculated:
carbon emissionsDepartment of departmentActivity levelDepartment of departmentX carbon emission factorDepartment of department
Since the department carbon emission factor is unchanged, therefore:
finally, the daily carbon emission of regional grading departments is obtained.
According to an embodiment of the disclosure, after obtaining the daily carbon emission of the regional-level departments, the regional-level real-time carbon emission data accounting method based on the department activity level data further includes: and releasing or outputting the acquired daily carbon emission data of the regional classification departments in real time.
Fig. 4 further illustrates a schematic diagram of a regional level real-time carbon emission data accounting method based on department activity level data, in accordance with an embodiment of the present disclosure. In the embodiment shown in fig. 4, the collection of the activity level data of various departments, which is disclosed and updated in real time, is realized through the collection input port, and the real-time release or output of the day-by-day carbon emission data of the regional division is realized through the output port. In a specific application, the data collection may also be implemented by other modules having a data collection function, the data distribution or output may also be implemented by other modules having a data distribution or output function, or the data collection, distribution or output may be implemented by integrating the data collection, distribution or output in one functional module. In addition, other technical contents related to fig. 4 are the same as those described above with reference to fig. 2 and 3, and are not described again here.
As shown in fig. 2 to 4, the regional level real-time carbon emission data accounting method based on department activity level data according to the embodiment of the present disclosure includes dividing a source of carbon emission into six main departments, i.e., power, industry, residential consumption, ground transportation, aviation, and marine transportation, constructing a carbon emission accounting model based on the department activity level data, and substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to perform calculation, thereby obtaining daily carbon emission of a regional level division, performing real-time or near real-time accounting on the regional level carbon emission, generating a daily carbon emission data set of the regional level division, and solving the problems that a current carbon emission data set has time lag of one year or more and does not have daily or hour-level carbon emission data.
Based on the regional level real-time carbon emission data accounting method based on department activity level data according to the embodiment of the present disclosure shown in fig. 2 to 4, fig. 5 schematically shows a block diagram of a regional level real-time carbon emission data accounting apparatus based on department activity level data according to an embodiment of the present disclosure.
As shown in fig. 5, the regional real-time carbon emission data accounting apparatus 500 based on department activity level data provided in the embodiment of the present disclosure includes a carbon emission accounting model building module 501, a data collecting module 502, a data cleaning module 503, and a carbon emission accounting module 504, where: the carbon emission accounting model building module 501 is configured to build a carbon emission accounting model based on department activity level data; the data acquisition module 502 is used for acquiring activity level data of various departments in real time; the data cleaning module 503 is used for cleaning the collected activity level data of various departments; the carbon emission calculation module 504 is configured to substitute the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional-level departments.
It should be understood that the carbon emission amount accounting model building module 501, the data acquisition module 502, the data cleaning module 503 and the carbon emission amount calculation module 504 may be combined and implemented in one module, or any one of them may be split into a plurality of modules. Alternatively, at least part of the functionality of one or more of these modules may be combined with at least part of the functionality of the other modules and implemented in one module.
According to an embodiment of the present disclosure, at least one of the carbon emission amount accounting model building module 501, the data acquisition module 502, the data cleaning module 503, and the carbon emission amount calculation module 504 may be at least partially implemented as a hardware circuit, such as a Field Programmable Gate Array (FPGA), a Programmable Logic Array (PLA), a system on a chip, a system on a substrate, a system on a package, an Application Specific Integrated Circuit (ASIC), or may be implemented in hardware or firmware in any other reasonable manner of integrating or packaging a circuit, or in a suitable combination of three implementations of software, hardware, and firmware. Alternatively, at least one of the carbon emission amount accounting model building module 501, the data collecting module 502, the data cleaning module 503, and the carbon emission amount calculating module 504 may be at least partially implemented as a computer program module that, when executed by a computer, may perform the functions of the respective modules.
Fig. 5 is a block diagram of an area-level real-time carbon emission data accounting apparatus based on department activity level data according to an embodiment of the present disclosure, which is capable of accurately reflecting the energy consumption level of each department in all directions, compared to the carbon emission accounting based on fossil fuel consumption currently used in the prior art, by dividing the source of carbon emission into six main departments, i.e., electric power, industry, residential consumption, ground transportation, aviation, and marine transportation.
In addition, the regional carbon emission amount can be accounted in real time or near real time, and the regional-level and division daily carbon emission amount data set is generated, so that the division carbon emission list data with the daily scale resolution can be calculated, the resolution scale of the carbon emission data accounting is improved, and more accurate carbon emission data with higher time resolution (daily scale) can be provided for relevant decision-making departments compared with the prior art that only annual scale carbon emission accounting can be performed on regional-level emission.
Based on the regional level real-time carbon emission data accounting method based on department activity level data according to the embodiment of the present disclosure shown in fig. 2 to 4, and the block diagram of the regional level real-time carbon emission data accounting apparatus based on department activity level data according to the embodiment of the present disclosure shown in fig. 5, fig. 6 schematically shows the block diagram of the electronic device for regional level real-time carbon emission data accounting based on department activity level data according to the embodiment of the present disclosure.
As shown in fig. 6, the electronic device 600 includes: one or more processors 610; a memory 620 storing a computer executable program that, when executed by the processor 610, causes the processor 610 to implement the regional level real-time carbon emission data accounting method based on department activity level data according to an embodiment of the present disclosure shown in fig. 2 to 4.
In particular, the processor 610 may comprise, for example, a general purpose microprocessor, an instruction set processor and/or related chip set and/or a special purpose microprocessor (e.g., an Application Specific Integrated Circuit (ASIC)), or the like. The processor 610 may also include onboard memory for caching purposes. The processor 610 may be a single processing unit or a plurality of processing units for performing the different actions of the method flows according to embodiments of the present disclosure.
The memory 620, for example, can be any medium that can contain, store, communicate, propagate, or transport the instructions. For example, a readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, device, or propagation medium. Specific examples of the readable storage medium include: magnetic storage devices, such as magnetic tape or Hard Disk Drives (HDDs); optical storage devices, such as compact disks (CD-ROMs); a memory, such as a Random Access Memory (RAM) or a flash memory; and/or wired/wireless communication links.
The memory 620 may include a computer program 621, which computer program 621 may include code/computer-executable instructions that, when executed by the processor 610, cause the processor 610 to perform a method according to an embodiment of the disclosure, or any variation thereof.
The computer program 621 may be configured with, for example, computer program code comprising computer program modules. For example, in an example embodiment, code in computer program 621 may include at least one program module, including for example, module 621A, module 621B, … …. It should be noted that the division and number of the modules are not fixed, and those skilled in the art may use suitable program modules or program module combinations according to actual situations, so that the processor 610 may execute the method according to the embodiment of the present disclosure or any variation thereof when the program modules are executed by the processor 610.
The embodiments of the present disclosure also provide a computer-readable medium, which may be included in the device/apparatus/system described in the above embodiments; or may exist separately and not be assembled into the device/apparatus/system. The above-mentioned computer-readable medium carries one or more programs which, when executed, implement a regional level real-time carbon emission data accounting method based on department activity level data according to an embodiment of the present disclosure.
According to embodiments of the present disclosure, a computer readable medium may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present disclosure, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In contrast, in the present disclosure, a computer-readable signal medium may include a propagated data signal with computer-readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, optical fiber cable, radio frequency signals, etc., or any suitable combination of the foregoing.
The present disclosure also provides a computer program comprising: computer-executable instructions that when executed are for implementing a regional level real-time carbon emission data accounting method based on department activity level data in accordance with an embodiment of the disclosure.
The present disclosure has been described in detail so far with reference to the accompanying drawings. From the above description, those skilled in the art should clearly recognize the present disclosure.
It is to be noted that, in the attached drawings or in the description, the implementation modes not shown or described are all the modes known by the ordinary skilled person in the field of technology, and are not described in detail. In addition, the above definitions of the respective elements are not limited to the specific structures, shapes or modes mentioned in the embodiments, and those skilled in the art may easily modify or replace them.
Of course, the present disclosure may also include other parts according to actual needs, and since the parts are not related to the innovation of the present disclosure, the details are not described herein.
Similarly, it should be appreciated that in the foregoing description of exemplary embodiments of the disclosure, various features of the disclosure are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various disclosed aspects. However, the disclosed method should not be interpreted as reflecting an intention that: that is, the claimed disclosure requires more features than are expressly recited in each claim. Rather, as the following claims reflect, disclosed aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this disclosure.
Further, in the drawings or description, the same drawing reference numerals are used for similar or identical parts. Features in various embodiments illustrated in the description may be freely combined to form a new scheme without conflict, and in addition, each claim may be taken alone as an embodiment or the features in various claims may be combined to form a new embodiment. Further, elements or implementations not shown or described in the drawings are of a form known to those of ordinary skill in the art. Additionally, while exemplifications of parameters including particular values may be provided herein, it is to be understood that the parameters need not be exactly equal to the respective values, but may be approximated to the respective values within acceptable error margins or design constraints.
Unless a technical obstacle or contradiction exists, the above-described various embodiments of the present disclosure may be freely combined to form further embodiments, which are all within the scope of protection of the present disclosure.
While the present disclosure has been described in connection with the accompanying drawings, the embodiments disclosed in the drawings are intended to be illustrative of the preferred embodiments of the disclosure, and should not be construed as limiting the disclosure. The dimensional proportions in the drawings are merely schematic and are not to be understood as limiting the disclosure.
Although a few embodiments of the present general inventive concept have been shown and described, it would be appreciated by those skilled in the art that changes may be made in these embodiments without departing from the principles and spirit of the general inventive concept, the scope of which is defined in the claims and their equivalents.
The above-mentioned embodiments are intended to illustrate the objects, aspects and advantages of the present disclosure in further detail, and it should be understood that the above-mentioned embodiments are only illustrative of the present disclosure and are not intended to limit the present disclosure, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present disclosure should be included in the scope of the present disclosure.
Claims (10)
1. A regional level real-time carbon emission data accounting method based on department activity level data is characterized by comprising the following steps:
constructing a carbon emission accounting model based on department activity level data;
collecting activity level data of various departments in real time;
performing data cleaning on the collected activity level data of various departments;
and substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional division.
2. The regional-level real-time carbon emission data accounting method based on department activity level data as claimed in claim 1, wherein the constructing of the carbon emission accounting model based on department activity level data comprises:
the sources of carbon emissions are divided into six main divisions: electricity, industry, residential consumption, ground traffic, aviation and marine;
the carbon emission accounting model based on department activity level data uses the following formula:
the activity level of a department is data which is related to the energy consumption of the department and can represent the actual activity intensity of the department; the carbon emission factor of a department depends on the fuel consumption structure and the fuel emission factor of the department.
3. The regional-level real-time carbon emission data accounting method based on department activity level data according to claim 2, wherein the real-time collection of the activity level data of various departments is real-time collection of public and real-time updated activity level data of various departments, and specifically comprises:
for the electric power department, collecting public and real-time updated firepower generating capacity in real time as activity level data of the electric power department;
for the industrial department, collecting the output of the industrial product which is disclosed and updated in real time as the activity level data of the industrial department;
for a resident consumption department, collecting public and real-time updated gas consumption in real time as activity level data of the resident consumption department;
for a ground traffic department, collecting public traffic flow in real time and updating the traffic flow in real time as activity level data of the ground traffic department;
for an aviation department, acquiring public and real-time updated flight data in real time as activity level data of the aviation department;
for the shipping department, the number of ships sailing which are public and updated in real time is collected in real time as activity level data of the shipping department.
4. The regional level real-time carbon emission data accounting method based on department activity level data as claimed in claim 3, wherein the data cleaning of the collected various types of department activity level data comprises:
removing repeated items and rejecting abnormal values;
supplementing missing values by using a linear interpolation method; and
the time resolution of the data is unified day by day.
5. The regional level real-time carbon emission data accounting method based on department activity level data as claimed in claim 4, wherein the step of substituting the cleaned department data into the carbon emission accounting model based on department activity level data to obtain the daily carbon emission of regional level departments comprises:
carbon emissionsDepartment of departmentActivity levelDepartment of departmentX carbon emission factorDepartment of department
Since the department carbon emission factor is unchanged, therefore:
finally, the daily carbon emission of regional grading departments is obtained.
6. The regional level real-time carbon emission data accounting method based on department activity level data as claimed in claim 5, wherein after obtaining the daily carbon emission of regional level departments, the method further comprises:
and releasing or outputting the acquired daily carbon emission data of the regional classification departments in real time.
7. An area-level real-time carbon emission data accounting apparatus based on department activity level data, comprising:
the carbon emission accounting model building module is used for building a carbon emission accounting model based on department activity level data;
the data acquisition module is used for acquiring activity level data of various departments in real time;
the data cleaning module is used for cleaning the collected activity level data of various departments;
and the carbon emission calculation module is used for substituting the cleaned data of each department into the carbon emission accounting model based on the department activity level data to obtain the daily carbon emission of the regional-level departments.
8. An area-level real-time carbon emission data accounting apparatus based on department activity level data, comprising:
one or more processors;
a memory storing a computer executable program which, when executed by the processor, causes the processor to implement the regional level real-time carbon emission data accounting method based on department activity level data of any one of claims 1 to 6.
9. A storage medium containing computer-executable instructions that, when executed, implement the regional level real-time carbon emission data accounting method based on department activity level data of any one of claims 1-6.
10. A computer program, comprising: computer-executable instructions for implementing the regional level real-time carbon emission data accounting method based on department activity level data of any one of claims 1-6 when executed.
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