CN117408717A - Method and device for determining coverage range of carbon trade market industry and electronic equipment - Google Patents

Method and device for determining coverage range of carbon trade market industry and electronic equipment Download PDF

Info

Publication number
CN117408717A
CN117408717A CN202311436081.5A CN202311436081A CN117408717A CN 117408717 A CN117408717 A CN 117408717A CN 202311436081 A CN202311436081 A CN 202311436081A CN 117408717 A CN117408717 A CN 117408717A
Authority
CN
China
Prior art keywords
carbon
candidate
industries
industry
trade market
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311436081.5A
Other languages
Chinese (zh)
Inventor
张琦峰
陈晨
李沐泽
李锦霈
殷子祺
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Beijing Huaneng Changjiang Environmental Protection Technology Research Institute Co Ltd
Original Assignee
Beijing Huaneng Changjiang Environmental Protection Technology Research Institute Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Beijing Huaneng Changjiang Environmental Protection Technology Research Institute Co Ltd filed Critical Beijing Huaneng Changjiang Environmental Protection Technology Research Institute Co Ltd
Priority to CN202311436081.5A priority Critical patent/CN117408717A/en
Publication of CN117408717A publication Critical patent/CN117408717A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/018—Certifying business or products
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00—Commerce
    • G06Q30/02—Marketing; Price estimation or determination; Fundraising
    • G06Q30/0201—Market modelling; Market analysis; Collecting market data
    • G06Q30/0204—Market segmentation
    • G06Q30/0205—Location or geographical consideration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/04—Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Landscapes

  • Business, Economics & Management (AREA)
  • Accounting & Taxation (AREA)
  • Engineering & Computer Science (AREA)
  • Finance (AREA)
  • Strategic Management (AREA)
  • Development Economics (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Physics & Mathematics (AREA)
  • Marketing (AREA)
  • General Business, Economics & Management (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Theoretical Computer Science (AREA)
  • Technology Law (AREA)
  • Data Mining & Analysis (AREA)
  • Game Theory and Decision Science (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The application provides a method, a device and electronic equipment for determining coverage range of carbon trade market industry, wherein the method comprises the following steps: obtaining regional carbon emission reduction costs of M candidate industries for incorporating an original carbon trade market, selecting a first industry for incorporating the original carbon trade market from the M candidate industries according to the regional carbon emission reduction costs, re-selecting a second industry for incorporating the first updated carbon trade market from the M-1 candidate industries according to the regional carbon emission reduction costs of the M-1 candidate industries for incorporating the first updated carbon trade market, and incorporating the second industry into the first updated carbon trade market to obtain a second updated carbon trade market until an Mth updated carbon trade market is obtained so as to determine a carbon trade market coverage area, determining the carbon trade market coverage area based on regional carbon emission reduction cost indexes, and reducing regional carbon emission reduction costs of regions under the limitation of the carbon trade market coverage area so as to ensure the high efficiency of regional carbon emission reduction.

Description

Method and device for determining coverage range of carbon trade market industry and electronic equipment
Technical Field
The present disclosure relates to the field of data processing technologies, and in particular, to a method and an apparatus for determining coverage of a carbon trade market industry, and an electronic device.
Background
At present, when determining the coverage range of the carbon trade market industry, the view angles of industry carbon emission reduction potential and carbon leakage risk are often considered, but the method cannot accurately reflect the essential attribute and key effect of a carbon trade mechanism, namely, the economic cost of realizing the carbon emission reduction target in a region is not reduced, and how to accurately determine the industry coverage range of the carbon trade market and reduce the regional carbon emission reduction cost of the region is a problem to be solved.
Disclosure of Invention
The object of the present application is to solve, at least to some extent, one of the technical problems in the art described above.
The first aspect of the application provides a method for determining coverage of carbon trade market industry, which comprises the following steps: obtaining regional carbon emission reduction costs of M candidate industries incorporated into an original carbon trade market, wherein M is a positive integer; selecting a first industry which is included in the original carbon trade market from the M candidate industries according to the regional carbon emission reduction cost, and including the first industry in the original carbon trade market to obtain a carbon trade market after first updating; and selecting a second industry which is incorporated into the first updated carbon trade market from the M-1 candidate industries according to the regional carbon emission reduction cost of the first updated carbon trade market incorporated into the M-1 candidate industries, and incorporating the second industry into the first updated carbon trade market to obtain a second updated carbon trade market until an Mth updated carbon trade market is obtained so as to determine the coverage range of the carbon trade market industry.
A second aspect of the present application provides a device for determining coverage of a carbon trade market industry, comprising: the acquisition module is used for acquiring regional carbon emission reduction costs of M candidate industries incorporated in an original carbon trade market, wherein M is a positive integer; the selection module is used for selecting a first industry which is included in the original carbon trade market from the M candidate industries according to the regional carbon emission reduction cost, the first industry is included in the original carbon trade market to obtain a first updated carbon trade market, the determination module is used for selecting a second industry which is included in the first updated carbon trade market from the M-1 candidate industries according to the regional carbon emission reduction cost of the M-1 candidate industries which is included in the first updated carbon trade market, and the second industry is included in the first updated carbon trade market to obtain a second updated carbon trade market until the Mth updated carbon trade market is obtained to determine the coverage range of the carbon trade market industry.
An embodiment of a third aspect of the present application provides an electronic device, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of determining carbon trade market coverage provided in the first aspect of the present application.
Embodiments of a fourth aspect of the present application provide a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform the method of determining the coverage of the carbon trade market industry provided in the first aspect of the present application.
An embodiment of a fifth aspect of the present application provides a computer program product which, when executed by an instruction processor in the computer program product, performs the method for determining the coverage of the carbon trade market industry provided by the first aspect of the present application.
According to the method and the device for determining the coverage range of the carbon trade market, the regional carbon emission reduction cost of the M candidate industries for bringing in the original carbon trade market is obtained, M is a positive integer, according to the regional carbon emission reduction cost, a first industry for bringing in the original carbon trade market is selected from the M candidate industries, the first industry is brought in the original carbon trade market to obtain a first updated carbon trade market, according to the regional carbon emission reduction cost of the M-1 candidate industries for bringing in the first updated carbon trade market again, a second industry for bringing in the first updated carbon trade market is selected from the M-1 candidate industries, the second industry is brought in the first updated carbon trade market to obtain a second updated carbon trade market until the Mth updated carbon trade market is obtained, and the coverage range of the carbon trade market is determined. According to the method and the device, the coverage range of the carbon trade market industry is determined based on the regional carbon emission reduction cost index, the regional carbon emission reduction cost of the region is reduced under the limitation of the coverage range of the carbon trade market industry, and the high efficiency of regional carbon emission reduction is ensured.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a flow chart of a method for determining coverage of a carbon trade market in accordance with an embodiment of the present application;
FIG. 2 is a flow chart of a method for determining coverage of a carbon trade market in accordance with another embodiment of the present application;
FIG. 3 is a flow chart of a method for determining coverage of a carbon trade market in accordance with another embodiment of the present application;
FIG. 4 is a schematic structural diagram of a device for determining coverage of a carbon trade market according to an embodiment of the present application;
fig. 5 is a block diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals refer to the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The following describes a method, an apparatus, an electronic device, and a medium for determining a coverage range of a carbon trade market industry according to an embodiment of the present application with reference to the accompanying drawings.
FIG. 1 is a flow chart illustrating a method for determining coverage of a carbon trade market according to an embodiment of the present application, as shown in FIG. 1, the method includes:
s101, obtaining regional carbon emission reduction costs of M candidate industries incorporated into an original carbon trade market, wherein M is a positive integer.
Wherein the raw carbon market comprises one or more industries that have incorporated the carbon market.
It should be noted that, the specific manner of obtaining the regional carbon emission reduction costs of the M candidate industries for inclusion in the original carbon trade market is not limited, and may be selected according to practical situations.
Optionally, carbon emission data and economic data of the M candidate industries may be obtained, and regional carbon emission reduction costs of the M candidate industries for inclusion in the original carbon market may be obtained based on the carbon emission data and the economic data.
S102, according to regional carbon emission reduction costs of the M candidate industries in the original carbon trade market, selecting a first industry in the original carbon trade market from the M candidate industries, and incorporating the first industry in the original carbon trade market to obtain a first updated carbon trade market.
In the embodiment of the present application, after obtaining the regional carbon emission reduction costs of the M candidate industries for inclusion in the original carbon trade market, the first industry for inclusion in the original carbon trade market may be selected from the M candidate industries according to the regional carbon emission reduction costs of the M candidate industries for inclusion in the original carbon trade market.
It should be noted that, the method for determining the coverage of the carbon trade market industry provided by the application aims at minimizing the regional carbon emission reduction cost, and determines the coverage of the carbon trade market industry.
Optionally, after obtaining the regional carbon emission reduction costs of the M candidate industries in the original carbon trade market, ascending order sorting can be performed on the regional carbon emission reduction costs of the M candidate industries in the original carbon trade market, and the candidate industry located at the first position in the sorting result is used as the first industry, namely, the industry with the minimum regional carbon emission reduction cost in the original carbon trade market is selected from the M candidate industries as the first industry.
For example, if there are 5 candidate industries, namely, industry a, industry B, industry C, industry D, industry E, the regional carbon emission reduction costs TAC for the industry a, industry B, industry C, industry D, industry E to be incorporated into the original carbon trade market can be obtained respectively A 、TAC B 、TAC C 、、TAC D 、TAC E TAC is aligned from small to large A 、TAC B 、TAC C 、、TAC D 、TAC E Sequencing if TAC C And if the first position is the minimum value, taking the industry C as the first industry, namely taking the industry C as the first industry which is brought into the original carbon trade market.
It should be noted that, after the first industry is obtained, the first industry is incorporated into the original carbon trade market, and then the carbon trade market after the first update is the original carbon trade market+the first industry, and the industry coverage of the carbon trade market is updated to the original carbon trade market+the first industry.
S103, the regional carbon emission reduction cost of the carbon trade market after the first update is brought into the M-1 candidate industries is selected from the M-1 candidate industries, a second industry which is brought into the carbon trade market after the first update is selected, the second industry is brought into the carbon trade market after the first update, the carbon trade market after the second update is obtained, and the carbon trade market after the M-th update is obtained until the carbon trade market after the M-th update is obtained, so that the coverage range of the carbon trade market industry is determined.
For example, when the industry C is taken as the first industry, 4 candidate industries (industry a, industry B, industry D, industry E) are currently selected, the regional carbon emission reduction cost of the current candidate industry for incorporating the first updated carbon market (the regional carbon emission reduction cost is the lowest), and the second industry is selected, if the industry B is taken as the second industry for incorporating the regional carbon emission reduction cost of the first updated carbon market, the industry B is taken as the second industry for incorporating the first updated carbon market, the second updated carbon market is the original carbon market+the first industry (industry C) +the second industry (industry B), and the industry coverage of the carbon market is updated to the original carbon market+the first industry (industry C) +the second industry (industry B).
For example, when the industry C is used as the first industry and the industry B is used as the second industry, the current candidate industries have 3 (industries a, D, and E), the regional carbon emission reduction cost of the current candidate industry for the second updated carbon market (the regional carbon emission reduction cost is the lowest), the third industry is selected, if the industry a is used as the third industry for the second updated carbon market, the third updated carbon market is the original carbon market+the first industry (industry C) +the second industry (industry B) +the third industry (industry a), and the industry coverage of the carbon market is updated to the original carbon market+the first industry (industry C) +the second industry (industry B) +the third industry (industry a).
It should be noted that, by taking the lowest emission reduction cost of regional carbon as a target, the selection process of the candidate industries is repeated until the carbon trade market updated for the mth time is obtained, so as to obtain the coverage range of the carbon trade market industry, and the specific process can be referred to the above embodiment and will not be repeated here.
For example, with the lowest regional carbon emission reduction cost as a goal, the industries for obtaining the carbon trade market are the first industry (industry C), the second industry (industry B), the third industry (industry a), the fourth industry (industry E), and the fifth industry (industry D), respectively, and the coverage of the finally obtained carbon trade market industries is: original carbon trade market + industry C + industry B + industry a + industry E + industry D.
According to the method for determining the coverage range of the carbon trade market, the regional carbon emission reduction cost of M candidate industries in an original carbon trade market is obtained, M is a positive integer, according to the regional carbon emission reduction cost, a first industry in the original carbon trade market is selected from the M candidate industries, the first industry is brought into the original carbon trade market to obtain a first updated carbon trade market, according to the regional carbon emission reduction cost of M-1 candidate industries in the first updated carbon trade market again, a second industry in the first updated carbon trade market is selected from the M-1 candidate industries, the second industry is brought into the first updated carbon trade market to obtain a second updated carbon trade market until the M updated carbon trade market is obtained, and the coverage range of the carbon trade market is determined. According to the method and the device, the coverage range of the carbon trade market industry is determined based on the regional carbon emission reduction cost index, the regional carbon emission reduction cost of the region is reduced under the limitation of the coverage range of the carbon trade market industry, and the high efficiency of regional carbon emission reduction is ensured.
In the above embodiment, regarding a specific process of obtaining the carbon emission reduction costs of the areas of the M candidate industries that are included in the original carbon market, it can be further understood with reference to fig. 2, and fig. 2 is a flow chart of a method for determining the coverage area of the carbon market industry according to another embodiment of the present application, as shown in fig. 2, the method includes:
s201, acquiring carbon emission data and economic data of M candidate industries.
It should be noted that, the specific manner of acquiring the carbon emission data and the economic data of the M candidate industries is not limited, and may be selected according to practical situations.
Alternatively, respective industry report data of the candidate industries may be acquired, from which carbon emission data and economic data are acquired.
S202, determining potential economic losses and accumulated carbon emission reduction of M candidate industries according to carbon emission data and economic data.
Alternatively, the carbon production efficiency difference, the carbon emission amount, the carbon emission intensity and the total production value of the M candidate industries may be obtained according to the carbon emission data and the economic data, and the potential economic loss of the M candidate industries may be determined according to the carbon production efficiency difference and the carbon emission amount.
In the embodiment of the application, after obtaining the carbon production efficiency difference value and the carbon emission, the following formula may be used to determine potential economic losses of M candidate industries:
wherein,potential economic loss (hundred million yuan) for t-year candidate industry i>Carbon production efficiency (ten thousand yuan/ton) for t year candidate industry i>The carbon production efficiency (ten thousand yuan/ton) of the candidate industry i in t+1 years is the reciprocal of the carbon emission intensity and the ∈10->Carbon emissions (million tons) for t year candidate industry i.
Alternatively, the cumulative carbon reduction for the M candidate industries may be determined based on the carbon emission intensity and the total production value.
In the embodiment of the application, after the carbon emission intensity and the total production value are obtained, the accumulated carbon emission reduction amounts of M candidate industries can be determined by using the following formula:
wherein,cumulative carbon emission reduction (million tons) for t year candidate industry i, for>Carbon emission reduction quota (million tons) for t-year candidate industry i, < >>For t year candidate i industry carbon emission intensity (ton/ten thousand yuan), the method is characterized by comprising the following steps of>Candidate i industry carbon emission intensity (ton/ten thousand yuan) for t-1 year,%>The total production value of the candidate industry i in t years.
Further, after obtaining potential economic losses and accumulated carbon emission reductions for M candidate industries, a marginal emission reduction cost curve for each candidate industry may be fitted, for example: and simulating the increasing trend of the marginal carbon emission reduction cost of each candidate industry along with the increasing carbon emission reduction of the accumulated carbon in a quadratic polynomial form.
For example, the following formula may be used to fit the industry marginal emission reduction cost curves:
wherein a is i 、b i 、c i To-be-estimated parameters of marginal emission reduction cost curve of candidate industry i,Cumulative carbon emission reduction (million tons) for t year candidate industry i, for>Potential economic loss (billions) for t-year candidate industry i.
S203, obtaining regional carbon emission reduction costs of M candidate industries for inclusion in the original carbon trade market according to potential economic losses and accumulated carbon emission reduction.
Optionally, the national evidence voluntary emission reduction of the M candidate industries may be obtained, and carbon emission reduction costs of the M candidate industries for inclusion in the original carbon trade market may be obtained according to the national evidence voluntary emission reduction, the potential economic loss, and the cumulative carbon emission reduction.
In the embodiment of the application, after the voluntary emission reduction, the potential economic loss and the accumulated carbon emission reduction of the national nuclear evidence are obtained, the following formula can be utilized to obtain the regional carbon emission reduction cost of the M candidate industries for being brought into the original carbon trade market:
wherein TAC i At t 0 Years to t 1 Candidate industries i incorporate regional carbon emission reduction total cost (hundred million yuan) of original carbon trade market in annual time period,At t for candidate industry i 0 Voluntary emission reduction by annual national nuclear evidence, < ->At t for candidate industry i 1 Voluntary emission reduction by annual national nuclear evidence, < ->Potential economic loss (hundred million yuan) for t-year candidate industry i>Cumulative carbon emissions (million tons) for t year candidate industry i.
According to the method for determining the coverage range of the carbon trade market, the potential economic loss and the accumulated carbon emission reduction of the M candidate industries are determined according to the carbon emission data and the economic data by acquiring the carbon emission data and the economic data of the M candidate industries, and the carbon emission reduction cost of the M candidate industries brought into the original carbon trade market is acquired according to the potential economic loss and the accumulated carbon emission reduction, so that the accuracy and the reliability of acquiring the carbon emission reduction cost are ensured, and a foundation is laid for the subsequent acquisition of the coverage range of the carbon trade market.
After the first industry is acquired, the original carbon trade market may be updated for the first time based on the first industry to form a new carbon trade market coverage area, and when the carbon emission reduction cost is acquired subsequently, the regional carbon emission reduction cost of the candidate industries not including the carbon trade market may be determined according to the non-linear programming model constructed in advance, and the candidate industries including the carbon trade market may be selected continuously with the minimum carbon emission reduction cost as a target, so as to acquire the carbon trade market coverage area.
In the above embodiment, with respect to a specific process of determining the carbon emission reduction cost of the candidate industry not incorporating the carbon trade market after the updated carbon trade market is obtained, it may be further understood with reference to fig. 3, and fig. 3 is a schematic flow chart of a method for determining the coverage range of the carbon trade market industry according to another embodiment of the present application, as shown in fig. 3, where the method includes:
s301, constructing a nonlinear programming model, wherein the nonlinear programming model comprises a carbon emission right distribution model and a carbon trade market simulation model.
It should be noted that, through the nonlinear programming model, the carbon emission reduction cost of the candidate industries which do not incorporate the carbon trade market can be determined on the basis of the updated carbon trade market.
S302, obtaining regional carbon emission reduction costs of M-1 candidate industries which are brought into the updated carbon trade market according to the linear programming model.
Optionally, the carbon emission allowance and the carbon emission reduction allowance of the M-1 candidate industries can be obtained through a carbon emission right allocation model.
Alternatively, a carbon emission right allocation model may be constructed based on the formulas (5) and (6), and carbon emission quotas and carbon emission reduction quotas of the M-1 candidate industries may be obtained by the formulas (5) and (6):
wherein,for t year candidate rowCarbon emission quota (million tons) for industry i, for example>Carbon emissions (million tons) for t year candidate industry i, CER t For the regional carbon emission reduction quota (million tons) of t year, ">At t 0 Carbon emissions (million tons) for annual candidate industry i.
Wherein,for the t-year candidate industry, i carbon emission reduction quota (million tons) and>carbon emission (million tons) for t-year candidate industry i->Carbon emission quota (million tons) for t year candidate industry i.
It should be noted that, the basic process of carbon emission reduction quota allocation among industries based on emission "grandfather allocation scheme" is described in the formula (5) and the formula (6), specifically, the carbon emission reduction quota of the t-year i industry is the difference between the carbon emission amount of the corresponding year and the carbon emission quota, while under the emission "grandfather allocation scheme", the carbon emission quota of the i industry is allocated according to the historical carbon emission ratio.
Alternatively, if it is assumed that the future carbon emission ratio of each industry remains unchanged, the t-year candidate industry i carbon emission reduction quota accounting process may be calculated using the following formula:
wherein,for t-year candidate industry i carbon emission reduction quota (million tons) and CER t For the regional carbon emission reduction quota (million tons) of t year, ">At t 0 Carbon emissions (million tons) for annual candidate industry i.
Optionally, the carbon emission reduction costs of the M-1 candidate industries for inclusion in the updated carbon market may be obtained through a carbon market simulation model, carbon emission quotas, and carbon emission reduction quotas.
Optionally, a carbon trade market simulation model may be constructed based on formulas (7), (8) and (9), and carbon emission quota for M-1 candidate industries may be obtained by formulas (7), (8) and (9):
wherein TAC is t 0 Years to t 1 Total carbon emission reduction cost (hundred million yuan) of candidate industry area in annual time period,At t for candidate industry i 0 Voluntary emission reduction by annual national nuclear evidence, < ->At t for candidate industry i 1 Voluntary emission reduction by annual national nuclear evidence, < ->Potential economic loss (hundred million yuan) for t-year candidate industry i>Cumulative carbon emissions (million tons) for t year candidate industry i.
Wherein,cumulative carbon reduction (million tons) for candidate industry i for t1 year,>at t 0 Cumulative carbon emission reduction (million tons) for 1 year candidate industry i, TRADE i TRADE size (million tons) for carbon emission reduction quota in the period t 0-t 1 of industry i, if TRADE i If the value is positive, the carbon emission reduction quota is born by other industries, and if TRADE i If the value is negative, the carbon emission reduction quota is not born for other industries, and the carbon emission reduction quota is not born for the other industries>At t 0 Years to t 1 Cumulative carbon emission reduction quota (million tons) for annual candidate industry i.
It should be noted that formula (9) is a candidate industry t 0 Years to t 1 The sum of the autonomous carbon emission reduction and the carbon emission quota trade size during the year must be no less than its initial carbon emission liability.
∑ i TRADE i ＝0(10)
Wherein, sigma i TRADE i For candidate industry t 0 Years to t 1 Cumulative carbon emission reduction quota trade size (million tons) over the year, representing candidate i industry t 0 Years to t 1 The trade market of carbon between industries is clear during the year.
According to the method for determining the coverage range of the carbon trade market, the nonlinear programming model is established, wherein the nonlinear programming model comprises the carbon emission right distribution model and the carbon trade market simulation model, the regional carbon emission reduction cost of M-1 candidate industries for incorporating the updated carbon trade market is obtained according to the linear programming model, after the original carbon trade market is updated to form a new carbon trade market coverage range, the regional carbon emission reduction cost of the rest candidate industries for incorporating the updated carbon trade market can be determined based on the nonlinear programming model, the accuracy and the reliability of obtaining the carbon emission reduction cost are guaranteed, and a foundation is laid for the follow-up obtaining of the carbon trade market coverage range.
Fig. 4 is a schematic structural diagram of a device for determining a coverage area of a carbon trade market according to an embodiment of the present application, as shown in fig. 4, the device 400 for determining a coverage area of a carbon trade market includes an obtaining module 41, a selecting module 42, and a determining module 43, where:
an obtaining module 41, configured to obtain regional carbon emission reduction costs of M candidate industries incorporated into an original carbon trade market, where M is a positive integer;
a selection module 42, configured to select a first industry that is included in the original carbon trade market from the M candidate industries according to the regional carbon emission reduction cost, and include the first industry in the original carbon trade market to obtain a carbon trade market after a first update;
the determining module 43 is configured to re-select a second industry that is included in the first updated carbon market from the M-1 candidate industries according to the regional carbon emission reduction cost that is included in the first updated carbon market by the M-1 candidate industries, and include the second industry in the first updated carbon market to obtain a second updated carbon market until an mth updated carbon market is obtained, so as to determine a coverage range of the carbon market.
The device for determining coverage of carbon trade market industry provided in the second aspect of the present application further has the following technical characteristics, including:
according to one embodiment of the present application, the obtaining module 41 is configured to: acquiring carbon emission data and economic data of M candidate industries; determining potential economic losses and accumulated carbon emission reductions of the M candidate industries according to the carbon emission data and the economic data; and acquiring regional carbon emission reduction costs of the M candidate industries, which are brought into the original carbon trade market, according to the potential economic loss and the accumulated carbon emission reduction.
According to one embodiment of the present application, the obtaining module 41 obtains the carbon production efficiency difference, the carbon emission amount, the carbon emission intensity and the total production value of the M candidate industries according to the carbon emission data and the economic data; determining potential economic losses for the M candidate industries based on the carbon production efficiency difference and the carbon emissions; and determining the accumulated carbon emission reduction amounts of the M candidate industries according to the carbon emission intensity and the production total value.
According to one embodiment of the present application, the obtaining module 41 is configured to: acquiring national evidence voluntary emission reduction of the M candidate industries; and acquiring regional carbon emission reduction costs of the M candidate industries, which are brought into the original carbon trade market, according to the voluntary emission reduction of the national nuclear evidence, the potential economic loss and the accumulated carbon emission reduction.
According to one embodiment of the present application, an apparatus 400 is used for: constructing a nonlinear programming model, wherein the nonlinear programming model comprises a carbon emission right distribution model and a carbon trade market simulation model; and acquiring regional carbon emission reduction cost of the M-1 candidate industries incorporated in the first updated carbon trade market according to the linear programming model.
According to one embodiment of the present application, an apparatus 400 is used for: acquiring carbon emission quota and carbon emission reduction quota of the M-1 candidate industries through the carbon emission right distribution model;
and acquiring regional carbon emission reduction costs of the M-1 candidate industries incorporated into the first updated carbon market through the carbon market simulation model, the carbon emission quota and the carbon emission reduction quota.
According to one embodiment of the present application, the selecting module 42 is configured to: and carrying out ascending sort on the regional carbon emission reduction cost of the M candidate industries which are included in the original carbon trade market, and taking the candidate industry with the first sorting result as the first industry which is included in the original carbon trade market.
According to the determining device for the coverage area of the carbon trade market, the regional carbon emission reduction cost of the original carbon trade market is brought into by the M candidate industries, M is a positive integer, the regional carbon emission reduction cost of the original carbon trade market is brought into according to the M candidate industries, the first industry of the original carbon trade market is selected from the M candidate industries, the updated carbon trade market is obtained by bringing the first industry into the original carbon trade market, the regional carbon emission reduction cost of the updated carbon trade market is brought into according to the M-1 candidate industries again, the second industry of the original carbon trade market is selected from the M-1 candidate industries until the M candidate industries are brought into the original carbon trade market, so that the coverage area of the carbon trade market is determined.
To achieve the above embodiments, the present application also provides an electronic device, a computer-readable storage medium, and a computer program product.
Fig. 5 is a block diagram of an electronic device according to an embodiment of the present application, and as shown in fig. 5, a device 1000 includes a memory 101, a processor 102, and a computer program stored on the memory 101 and executable on the processor 102, where the processor 102 executes program instructions to implement a method for determining coverage of the carbon trade market in the embodiment of fig. 1-3.
To implement the above-described embodiments, the present application also provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform the method of determining the carbon-trade market coverage of the embodiments of fig. 1-3.
To achieve the above embodiments, the present application also provides a computer program product which, when executed by an instruction processor in the computer program product, performs a method of determining the coverage of the carbon trade market industry of the embodiments of fig. 1 to 3.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "plurality" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more executable instructions for implementing specific logical functions or steps of the process, and additional implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
Logic and/or steps represented in the flowcharts or otherwise described herein, e.g., a ordered listing of executable instructions for implementing logical functions, can be embodied in any computer-readable medium for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device and execute the instructions. For the purposes of this description, a "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transport the program for use by or in connection with the instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of the computer-readable medium would include the following: an electrical connection (electronic device) having one or more wires, a portable computer diskette (magnetic device), a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber device, and a portable compact disc read-only memory (CDROM). In addition, the computer readable medium may even be paper or other suitable medium on which the program is printed, as the program may be electronically captured, via, for instance, optical scanning of the paper or other medium, then compiled, interpreted or otherwise processed in a suitable manner, if necessary, and then stored in a computer memory.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the various steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable Gate Arrays (PGAs), field Programmable Gate Arrays (FPGAs), and the like.
Those of ordinary skill in the art will appreciate that all or a portion of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, where the program may be stored in a computer readable storage medium, and where the program, when executed, includes one or a combination of the steps of the method embodiments.
In addition, each functional unit in each embodiment of the present application may be integrated in one processing module, or each unit may exist alone physically, or two or more units may be integrated in one module. The integrated modules may be implemented in hardware or in software functional modules. The integrated modules may also be stored in a computer readable storage medium if implemented in the form of software functional modules and sold or used as a stand-alone product.
The above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, or the like. Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.

Claims (10)

1. A method of determining coverage of a carbon trade market, the method comprising:
obtaining regional carbon emission reduction costs of M candidate industries incorporated into an original carbon trade market, wherein M is a positive integer;
selecting a first industry which is included in the original carbon trade market from the M candidate industries according to the regional carbon emission reduction cost, and including the first industry in the original carbon trade market to obtain a carbon trade market after first updating;
and selecting a second industry which is incorporated into the first updated carbon trade market from the M-1 candidate industries according to the regional carbon emission reduction cost of the first updated carbon trade market incorporated into the M-1 candidate industries, and incorporating the second industry into the first updated carbon trade market to obtain a second updated carbon trade market until an Mth updated carbon trade market is obtained so as to determine the coverage range of the carbon trade market industry.
2. The method of claim 1, wherein the obtaining the regional carbon emission reduction costs for the M candidate industries to be included in the raw carbon market comprises:
acquiring carbon emission data and economic data of M candidate industries;
determining potential economic losses and accumulated carbon emission reductions of the M candidate industries according to the carbon emission data and the economic data;
and acquiring regional carbon emission reduction costs of the M candidate industries, which are brought into the original carbon trade market, according to the potential economic loss and the accumulated carbon emission reduction.
3. The method of claim 2, wherein the determining potential economic losses and accumulated carbon reduction emissions for the M candidate industries from the carbon emission data and the economic data comprises:
acquiring carbon production efficiency difference values, carbon emission amounts, carbon emission intensities and total production values of the M candidate industries according to the carbon emission data and the economic data;
determining potential economic losses for the M candidate industries based on the carbon production efficiency difference and the carbon emissions;
and determining the accumulated carbon emission reduction amounts of the M candidate industries according to the carbon emission intensity and the production total value.
4. The method of claim 2, wherein the obtaining regional carbon emission reduction costs for the M candidate industries to be included in the raw carbon market based on the potential economic loss and the cumulative carbon emission reduction comprises:
acquiring national evidence voluntary emission reduction of the M candidate industries;
and acquiring regional carbon emission reduction costs of the M candidate industries, which are brought into the original carbon trade market, according to the voluntary emission reduction of the national nuclear evidence, the potential economic loss and the accumulated carbon emission reduction.
5. The method of claim 1, wherein the re-entering the regional carbon emission reduction costs of the first updated carbon market based on M-1 candidate industries includes:
constructing a nonlinear programming model, wherein the nonlinear programming model comprises a carbon emission right distribution model and a carbon trade market simulation model;
and acquiring regional carbon emission reduction cost of the M-1 candidate industries incorporated in the first updated carbon trade market according to the linear programming model.
6. The method of claim 5, wherein the obtaining, according to the linear programming model, the regional carbon emission reduction costs of the M-1 candidate industries for inclusion in the first updated carbon market comprises:
acquiring carbon emission quota and carbon emission reduction quota of the M-1 candidate industries through the carbon emission right distribution model;
and acquiring regional carbon emission reduction costs of the M-1 candidate industries incorporated into the first updated carbon market through the carbon market simulation model, the carbon emission quota and the carbon emission reduction quota.
7. The method of claim 1, wherein the selecting a first industry from the M candidate industries that is to be included in the raw carbon market based on the regional carbon emission reduction costs comprises:
and carrying out ascending sort on the regional carbon emission reduction cost of the M candidate industries which are included in the original carbon trade market, and taking the candidate industry with the first sorting result as the first industry which is included in the original carbon trade market.
8. A device for determining coverage of a carbon trade market, the device comprising:
the acquisition module is used for acquiring regional carbon emission reduction costs of M candidate industries incorporated in an original carbon trade market, wherein M is a positive integer;
a selection module for selecting a first industry which is included in the original carbon trade market from the M candidate industries according to the regional carbon emission reduction cost of the M candidate industries which are included in the original carbon trade market,
the determining module is used for enabling the first industry to be incorporated into the original carbon trade market to obtain an updated carbon trade market, and re-selecting a second industry which is incorporated into the original carbon trade market from M-1 candidate industries according to the regional carbon emission reduction cost of the updated carbon trade market, until all the M candidate industries are incorporated into the original carbon trade market, so as to determine the coverage range of the carbon trade market industry.
9. An electronic device comprising a processor and a memory;
wherein the processor runs a program corresponding to executable program code stored in the memory by reading the executable program code for implementing the method according to any one of claims 1-7.
10. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the steps of the method according to any one of claims 1-7.
CN202311436081.5A 2023-10-31 2023-10-31 Method and device for determining coverage range of carbon trade market industry and electronic equipment Pending CN117408717A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311436081.5A CN117408717A (en) 2023-10-31 2023-10-31 Method and device for determining coverage range of carbon trade market industry and electronic equipment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311436081.5A CN117408717A (en) 2023-10-31 2023-10-31 Method and device for determining coverage range of carbon trade market industry and electronic equipment

Publications (1)

Publication Number Publication Date
CN117408717A true CN117408717A (en) 2024-01-16

Family

ID=89495932

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311436081.5A Pending CN117408717A (en) 2023-10-31 2023-10-31 Method and device for determining coverage range of carbon trade market industry and electronic equipment

Country Status (1)

Country Link
CN (1) CN117408717A (en)

Similar Documents

Publication Publication Date Title
CN105335133A (en) Method and apparatus for generating business rule model
CN103646238A (en) Method and device for estimating direction field of fingerprint
CN112734494A (en) Sales prediction method and device, terminal equipment and readable storage medium
CN105653521A (en) Data verification method and device
CN115016042B (en) Precipitation prediction method and system based on multi-encoder fusion radar and precipitation information
CN114596440B (en) Semantic segmentation model generation method and device, electronic equipment and storage medium
CN115102202A (en) Energy storage control method based on rolling type real-time electricity price prediction
CN117408717A (en) Method and device for determining coverage range of carbon trade market industry and electronic equipment
CN117708547A (en) Novel turbine unit vibration signal processing method and system
CN116228334A (en) Prediction method and prediction device for power transmission and transformation project cost
CN117370796A (en) Wind turbine generator system fault prediction model training and fault prediction method and device
CN108133485A (en) GIS rasterizings problem area recognition methods, device, terminal and medium in flakes
CN114254801A (en) Industrial user power consumption long-term prediction method and device based on similarity measurement
CN115293335A (en) Image identification method and device based on implicit universal matrix multiplication
CN112241806B (en) Road damage probability prediction method, device terminal equipment and readable storage medium
CN115423159A (en) Photovoltaic power generation prediction method and device and terminal equipment
CN108108467A (en) Data-erasure method and device
CN114037993A (en) Substation pointer instrument reading method and device, storage medium and electronic equipment
CN112632937A (en) Scrap list generation method and device, storage medium and electronic equipment
CN117437329B (en) High-consequence region drawing method, system, readable storage medium and computer device
CN117236794B (en) BIM-based engineering supervision information management method, system, medium and equipment
CN116306427A (en) Curve interpolation method based on FPGA
CN116168113A (en) Drawing method and system for raw coal selectivity curve and reselection distribution curve
CN111932031B (en) Cargo state prediction method and device and multi-classification modeling method
CN117540909A (en) Correction method and device for input flow prediction result, electronic equipment and medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination