CN116503225A - Carbon emission track analysis method for regional power distribution network key emission industry - Google Patents

Carbon emission track analysis method for regional power distribution network key emission industry Download PDF

Info

Publication number
CN116503225A
CN116503225A CN202310490504.5A CN202310490504A CN116503225A CN 116503225 A CN116503225 A CN 116503225A CN 202310490504 A CN202310490504 A CN 202310490504A CN 116503225 A CN116503225 A CN 116503225A
Authority
CN
China
Prior art keywords
carbon
emission
industry
carbon emission
regional
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
CN202310490504.5A
Other languages
Chinese (zh)
Inventor
张全娥
茹秋实
把明全
范捷生
韩欢
向敏
蒲昊
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.)
State Grid Gansu Electric Power Co Longnan Power Supply Co
Original Assignee
State Grid Gansu Electric Power Co Longnan Power Supply Co
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 State Grid Gansu Electric Power Co Longnan Power Supply Co filed Critical State Grid Gansu Electric Power Co Longnan Power Supply Co
Priority to CN202310490504.5A priority Critical patent/CN116503225A/en
Publication of CN116503225A publication Critical patent/CN116503225A/en
Pending legal-status Critical Current

Links

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02PCLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION OR PROCESSING OF GOODS
    • Y02P90/00Enabling technologies with a potential contribution to greenhouse gas [GHG] emissions mitigation
    • Y02P90/80Management or planning
    • Y02P90/84Greenhouse gas [GHG] management systems

Abstract

The invention discloses a carbon emission track analysis method for the key emission industry of a regional power distribution network, belongs to the technical field of carbon emission, and aims to solve the problem that the carbon footprint of the industry in the region is difficult to calculate. The method comprises the steps of energy consumption data acquisition, industry carbon emission classification, direct carbon emission-fossil fuel combustion carbon emission calculation of enterprises, determination of emission factors of indirect carbon emission sources, and establishment of a carbon footprint model of the regional key emission industry. According to the method, deep analysis is carried out on carbon emission of the regional distribution network key emission industry based on various energy data, a key emission industry carbon track metering model is established, a carbon emission track is directly measured and calculated through energy power consumption data and emission factors, the relevance between influence factors and carbon emission is not considered, quantitative analysis is carried out on carbon emission, and a carbon footprint is determined from the position through carbon emission track analysis, so that a carbon footprint reduction technology can be selected to reduce the carbon footprint, and further carbon footprint accounting of enterprises is realized.

Description

Carbon emission track analysis method for regional power distribution network key emission industry
Technical Field
The invention belongs to the technical field of carbon emission, and particularly relates to a carbon emission track analysis method for the key emission industry of a regional power distribution network.
Background
The comprehensive carbon emission statistics accounting work is completed in 2021, the schedule is improved, the establishment of a unified and standardized carbon emission statistics accounting system is quickened, and the data quality is also highly valued. The prior art carbon metering calculation methods can be summarized into two types: an emission factor method and a mass balance method. The emission factor method can be simply understood as adding an emission factor to the energy consumption amount, the emission factor being a coefficient corresponding to the energy consumption amount. While in the carbon mass balance method, carbon emissions are obtained by subtracting the carbon output of non-carbon dioxide from the input carbon content. In contrast, the emission factor method is wider in application range and more common in application at present.
According to greenhouse gas accounting system issued by the world sustainable development industry and commerce council and the world resource research institute in 2012: the quantitative and reporting guidance specifications of greenhouse gas emission and reduction at the level of ISO14064-1:2018 organization, published by International organization for standardization of enterprises (revision), can be divided into direct emission and indirect emission according to whether enterprises own or control emission sources.
Where direct emissions are defined as range-emissions, meaning emissions generated by emissions sources directly controlled or owned by the business. Indirect emissions refer to emissions resulting from business activities, but occurring at emissions sources owned or controlled by other businesses. The enterprise standard further distinguishes indirect emissions into range two emissions and range three emissions. The second emissions range refers to greenhouse gas emissions generated by electricity, steam, heat or cold purchased by an enterprise (referred to as "energy indirect emissions" in ISO 14064-1), and the third emissions range includes all other indirect emissions (referred to as "other indirect emissions" in ISO 14064-1). The emission factor method is based on standard carbon metering.
In the greenhouse gas emission accounting practice of enterprises, the most common for carbon dioxide emission accounting generated by purchasing electricity is an emission factor estimation method, namely, the corresponding carbon emission amount is obtained by multiplying the electricity consumption of purchasing by the carbon emission factor of a power grid. Therefore, the carbon emission factor of the power grid is taken as an important parameter for connecting the power consumption and the carbon emission, whether the use is reasonable or not and whether the value is proper or not greatly influences the accounting quality of the greenhouse gas emission, and has important significance for accurately evaluating the carbon emission of each region, each enterprise and each project and formulating high-quality carbon peak and carbon neutralization implementation.
In the prior art, the research direction aiming at the relevance between the increase of the carbon emission and the influence factors thereof is more, but the research direction aims at the analysis of the carbon emission track of the important emission industry in the target area, the measurement and calculation of the carbon dioxide emission caused by each industry and all activities in the area, and the accurate track analysis method is lacking. In analysis of carbon emission tracks of industrial enterprises, the carbon emission factors of the power grid mainly adopt regional power grid emission factors issued by countries, the data is lagged, the updating time is long, the space-time resolution is not enough, the carbon emission amount cannot be accurately and objectively calculated when the method is used for carbon emission accounting in each region, the enterprises cannot be led to actively adjust electricity consumption behaviors, and low-carbon emission reduction measures are not conveniently formulated by each enterprise in each industry in the region.
Based on the problems in the background technology, it is highly desirable to establish an objective, visual and accurate power grid carbon emission factor system, and provide scientific data reference for monitoring carbon emission dynamics and implementing carbon reduction actions. Researchers then propose a carbon emission track analysis method for the regional distribution network key emission industry.
Disclosure of Invention
The invention aims to provide a method for analyzing carbon emission tracks in the key emission industry of a regional power distribution network, so as to solve the problem that the carbon footprint of the industry in the region is difficult to calculate.
In order to solve the problems, the technical scheme of the invention is as follows:
a carbon emission track analysis method for the key emission industry of a regional power distribution network comprises the following steps:
s1, energy consumption data are acquired;
acquiring primary energy consumption data such as industry natural gas, coal and the like, industry electricity consumption data and industry clean outsourcing thermal data;
s2, industry carbon emission classification;
s2.1, counting target enterprises;
counting and summarizing enterprise energy use data in the area, and selecting enterprises with annual greenhouse gas emission reaching carbon dioxide equivalent requirement values and above in the target area according to the enterprise energy consumption data;
s2.2, classifying the carbon emission according to sources;
determining a direct carbon emission source and an indirect carbon emission source of the industry according to the production process of the industry: direct carbon emission source: fossil fuels such as coal, petroleum, and natural gas;
indirect carbon emission source: carbon emission caused by outsourcing power and thermal use;
s3, direct carbon emission-fossil fuel combustion carbon emission calculation of enterprises;
s4, determining an emission factor of an indirect carbon emission source;
when an enterprise calculates carbon dioxide generated by power consumption, the regional power grid average emission factor can be quoted, and the regional power grid average carbon emission factor is determined through regional power system data;
the regional power grid emission factor calculation method is that the carbon emission factors of all enterprise load nodes in the regional power distribution network are calculated through a system node carbon emission factor matrix, and then the regional power grid carbon emission factors are calculated;
s5, establishing a carbon footprint model of the regional key emission industry;
and according to the carbon emission factors of various energy sources, building a carbon emission model of the regional key industry by utilizing the energy consumption data of the industry.
Further, the carbon dioxide equivalent requirement value in step S2.1 may be 2.6 ten thousand tons of carbon dioxide equivalent in the notice about the key work related to the management of the greenhouse gas emission report of the 2022 year enterprise, issued by the 2022 ecological environment department, as a standard.
Further, in step S2.2, for the single enterprise selected in the target area in S2.1, the carbon emissions may be divided into a direct carbon emission source and an indirect carbon emission source by the carbon emission source, and the calculation formula of the carbon emissions of the single enterprise is as follows:
C enterprise 1 =C Directly and directly +C Indirect connection (1)
In the formula (1):
C enterprise 1 Carbon emissions for a single business in an industry within a region;
C directly and directly Carbon emissions generated by using fossil fuels such as coal, oil, and natural gas for the enterprise 1;
C indirect connection And outsourcing electricity and heat generated carbon emission for enterprises 1.
Further, the carbon emission generated by the direct carbon emission source of the enterprises in the step S2.2 is the sum of the carbon emission generated by the combustion of coal, petroleum, natural gas and other fossil fuels and various production processes; the calculation formula is as follows:
C directly and directly =C Coal +C Petroleum oil +C Natural gas +C Others (2)
In the formula (2):
C directly and directly Carbon emission generated by burning direct carbon emission sources of enterprises;
C coal Carbon emissions generated for the enterprise coal;
C petroleum oil Carbon emissions generated by burning petroleum for an enterprise;
C natural gas Carbon emissions generated by the combustion of natural gas for an enterprise;
C others Carbon emissions for other fossil fuel combustion and various production processes in enterprises, such as carbon dioxide generated during the use of carbonatesAnd (5) discharging.
Further, in step S2.2, the carbon emissions generated by the indirect carbon emission source of the enterprise are the sum of the carbon emissions generated by the electricity purchased by the electric company and the heat purchased by the heat company; the calculation formula is as follows:
C indirect connection =C Electric power +C Thermal power (3)
In the formula (3):
C indirect connection Carbon emissions generated for enterprise electrical and thermal consumption;
C electric power Carbon emissions for enterprises to purchase power from the grid;
C thermal power Carbon emissions generated for the outsourcing heat of the enterprise.
Further, the calculation formula of the carbon emission during the production process of the single enterprise product in the step S3 is as follows:
AD j =EC j ×NCV j (5)
EF j =CC j ×α j ×β (6)
wherein:
AD j combustion activity level data for the j-th fossil fuel, which is the heat of combustion of the j-th fossil fuel; EF (electric F) j Is the emission factor of the j-th fossil fuel;
EC j the consumption of fossil fuel j;
NCV j average low calorific value for the j-th fossil fuel;
CC j carbon content per unit heating value for the j-th fossil fuel;
α j carbon oxidation rate for the j-th fossil fuel;
beta is the ratio of carbon dioxide to carbon molecular weight, and the value is 44/12.
Further, in step S4, the calculation formula of the carbon emission factor of each load node of the system is as follows:
in formula (7);
E c the method comprises the steps of (1) carbon emission factor matrix for power utilization load nodes of enterprises in a regional distribution network;
P N active flux matrix for regional distribution network system nodes;
P B the power flow distribution matrix is a regional power distribution network system line power flow distribution matrix;
P G the power supply side output matrix of the regional power distribution network;
E G the output carbon emission intensity of the power supply side of the regional distribution network is calculated;
the regional power grid emission factor calculation formula is as follows:
in formula (8);
E m regional grid carbon emission factor for m regions;
P L the power of the power utilization load node is used for each enterprise in the m area;
E c,L carbon emission factors of power utilization load nodes of enterprises in the m area;
n is the number of businesses that incorporate carbon emission calculations in the region;
the calculation method of the regional thermodynamic emission factor is that the total amount of fuel consumed by regional thermodynamic production is multiplied by the carbon emission factor of the fuel divided by the total amount of thermodynamic production, and the calculation formula is as follows:
in the formula (9):
EF h the thermodynamic carbon emission factor is outsourced to the regional industry;
FC j is a regional thermodynamic systemThe consumption of fuel j is unified;
EF j carbon emission factor for fuel j;
HG is the total amount of thermal production of the regional thermodynamic system.
Further, in step S5, a calculation method for an important emission industry in the carbon emission model is as follows:
wherein:
CE industry 1 Carbon emissions, an important emission industry in a region;
carbon emissions generated for the industry enterprise k direct carbon emissions source;
carbon emissions generated for an indirect carbon emissions source for enterprise k in the industry;
carbon emission for purchasing electricity to the power system for enterprise k in the industry;
carbon emission for purchasing heat from thermal power company for enterprise k in industry;
k is the number of enterprises in the industry;
E e k the total amount of power consumed by enterprise k in the industry;
E m the regional power grid emission factor;
Eh k the total amount of heat consumed by enterprise k in the industry;
EF h is a regional thermal factor.
The beneficial effects of the invention are as follows:
(1) The method is based on the method in the ex-office greenhouse gas emission accounting method and report guideline (trial run) and the method in the industry and other industry enterprise greenhouse gas emission accounting method and report guideline (trial run) which are common to 1 industry, divides the industry greenhouse gas emission into direct emission and indirect emission, and establishes an industry carbon emission track analysis model through industry electric power energy activity data and emission factors.
The method is characterized in that the regional key carbon emission industry is taken as a research object, carbon emission data of the industry are deeply analyzed, the industry carbon emission is divided into carbon emission generated by a direct carbon emission source and an indirect carbon emission source, the direct carbon emission is generated by burning fossil fuel directly used in the process of producing products by the industry, and the indirect carbon emission considers that the industry purchases electric power and thermal energy outwards to indirectly cause the carbon emission. In calculating regional grid emission factors, the amount of power generated by incorporating renewable energy into the grid is included. The regional power grid carbon emission factor can be calculated in real time, the change brought by regional clean energy development to the regional power grid carbon emission factor is considered, when the installation number of the clean energy in different regions and the fluctuation of the output of the clean energy change, the regional power grid carbon emission factor can be updated within a certain region range and a certain time, the accuracy of analysis of the industrial enterprise carbon emission track is improved, enterprises are guided to carry out low-carbon emission reduction, the lagging production process and production equipment are updated, and the clean energy consumption is promoted. The method can calculate the carbon emission of the key emission industry in the area according to the industry carbon track model, and aims to account the total emission amount of greenhouse gases caused by the industry activities.
(2) According to the method, deep analysis is carried out on carbon emission of the regional distribution network key emission industry based on various energy data, a key emission industry carbon track metering model is established, the carbon emission track is directly calculated through the energy power consumption data and emission factors, the relevance between the influence factors and the carbon emission is not considered, the key point is that quantitative analysis is carried out on the carbon emission, the carbon footprint is clear from the carbon emission track analysis, a carbon emission reduction technology can be selected to reduce the carbon footprint, further, carbon footprint accounting of enterprises is achieved, and the method has practical significance and practical value for accurately accounting the enterprise carbon footprint of enterprises such as regional production and manufacturing.
Drawings
Fig. 1 is a flowchart of a method for analyzing carbon emission trajectories in the area distribution network emphasis emission industry.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, based on the embodiments of the invention, which are apparent to those of ordinary skill in the art without inventive faculty, are intended to be within the scope of the invention.
Thus, the following detailed description of the embodiments of the invention, as presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention.
Example 1
As shown in fig. 1:
a carbon emission track analysis method for the key emission industry of a regional power distribution network comprises the following steps:
s1, energy consumption data are acquired;
acquiring primary energy consumption data such as industry natural gas, coal and the like, industry electricity consumption data and industry clean outsourcing thermal data;
s2, industry carbon emission classification;
s2.1, counting target enterprises;
counting and summarizing enterprise energy use data in an area, selecting enterprises with annual greenhouse gas emission reaching carbon dioxide equivalent requirement values and above in a target area according to the enterprise energy consumption data, wherein the carbon dioxide equivalent requirement values can adopt 2.6 ten thousand tons of carbon dioxide equivalent in notifications about important work related to the management of the greenhouse gas emission report of 2022 enterprises issued by the 2022 ecological environment department as a standard;
s2.2, classifying the carbon emission according to sources;
determining a direct carbon emission source and an indirect carbon emission source of the industry according to the production process of the industry: direct carbon emission source: fossil fuels such as coal, petroleum, and natural gas;
indirect carbon emission source: carbon emission caused by outsourcing power and thermal use;
for a single enterprise selected in the target area in S2.1, the carbon emissions may be divided into a direct carbon emission source and an indirect carbon emission source by a carbon emission source, and the calculation formula of the carbon emissions of the single enterprise is as follows:
C enterprise 1 =C Directly and directly +C Indirect connection (1)
In the formula (1):
C enterprise 1 Carbon emissions for a single business in an industry within a region;
C directly and directly Carbon emissions generated by using fossil fuels such as coal, oil, and natural gas for the enterprise 1;
C indirect connection Carbon emission generated by electricity and heat is outsourced for enterprises 1;
the carbon emission generated by the direct carbon emission source of enterprises is the sum of carbon emission generated by the combustion of coal, petroleum, natural gas and other fossil fuels and various production processes; the calculation formula is as follows:
C directly and directly =C Coal +C Petroleum oil +C Natural gas +C Others (2)
In the formula (2):
C directly and directly Carbon emission generated by burning direct carbon emission sources of enterprises;
C coal Carbon emissions generated for the enterprise coal;
C petroleum oil Carbon emissions generated by burning petroleum for an enterprise;
C natural gas Carbon emissions generated by the combustion of natural gas for an enterprise;
C others Carbon emissions generated for other fossil fuel combustion and various production processes of enterprises, such as carbon dioxide emissions generated in the process of using carbonate;
the carbon emission generated by the indirect carbon emission source of the enterprise is the sum of the electricity purchased by the electric company and the carbon emission generated by the heat purchased by the heat company in the industry; the calculation formula is as follows:
C indirect connection =C Electric power +C Thermal power (3)
In the formula (3):
C indirect connection Carbon emissions generated for enterprise electrical and thermal consumption;
C electric power Carbon emissions for enterprises to purchase power from the grid;
C thermal power Carbon emission generated for outsourcing heat of enterprises;
s3, direct carbon emission-fossil fuel combustion carbon emission calculation of enterprises;
the calculation formula of the carbon emission of fossil fuel combustion in the production process of single enterprise products is as follows:
AD j =EC j ×NCV j (5)
EF j =CC j ×α j ×β (6)
wherein:
AD j combustion activity level data for the j-th fossil fuel, which is the heat of combustion of the j-th fossil fuel;
EF j is the emission factor of the j-th fossil fuel;
EC j decontamination for j-th fossil fuelA fee amount;
NCV j average low calorific value for the j-th fossil fuel;
CC j carbon content per unit heating value for the j-th fossil fuel;
α j carbon oxidation rate for the j-th fossil fuel;
beta is the ratio of carbon dioxide to carbon molecular weight, and the value is 44/12;
s4, determining an emission factor of an indirect carbon emission source;
when an enterprise calculates carbon dioxide generated by power consumption, the regional power grid average emission factor can be quoted, and the regional power grid average carbon emission factor is determined through regional power system data;
the regional power grid emission factor calculation method is that the carbon emission factors of all enterprise load nodes in the regional power distribution network are calculated through a system node carbon emission factor matrix, and then the regional power grid carbon emission factors are calculated.
The calculation formula of the carbon emission factor of each load node of the system is as follows:
in formula (7);
E c the method comprises the steps of (1) carbon emission factor matrix for power utilization load nodes of enterprises in a regional distribution network;
P N active flux matrix for regional distribution network system nodes;
P B the power flow distribution matrix is a regional power distribution network system line power flow distribution matrix;
P G the power supply side output matrix of the regional power distribution network;
E G the output carbon emission intensity of the power supply side of the regional distribution network is calculated;
the regional power grid emission factor calculation formula is as follows:
in formula (8);
E m regional grid carbon emission factor for m regions;
P L the power of the power utilization load node is used for each enterprise in the m area;
E c,L carbon emission factors of power utilization load nodes of enterprises in the m area;
n is the number of businesses that incorporate carbon emission calculations in the region;
the calculation method of the regional thermodynamic emission factor is that the total amount of fuel consumed by regional thermodynamic production is multiplied by the carbon emission factor of the fuel divided by the total amount of thermodynamic production, and the calculation formula is as follows:
in the formula (9):
EF h the thermodynamic carbon emission factor is outsourced to the regional industry;
FC j consumption of fuel j for the regional thermodynamic system;
EF j carbon emission factor for fuel j;
HG is the total amount of thermal production of the regional thermodynamic system;
s5, establishing a carbon footprint model of the regional key emission industry;
according to carbon emission factors of various energy sources, utilizing energy consumption data of industries to construct a carbon emission model of a regional key industry;
the calculation method of an important emission industry in the carbon emission model comprises the following steps:
wherein:
CE industry 1 Carbon emissions, an important emission industry in a region;
carbon emissions generated for the industry enterprise k direct carbon emissions source;
carbon emissions generated for an indirect carbon emissions source for enterprise k in the industry;
carbon emission for purchasing electricity to the power system for enterprise k in the industry; />Carbon emission for purchasing heat from thermal power company for enterprise k in industry;
k is the number of enterprises in the industry;
E e k the total amount of power consumed by enterprise k in the industry;
E m the regional power grid emission factor;
Eh k the total amount of heat consumed by enterprise k in the industry;
EF h is a regional thermal factor.

Claims (8)

1. A carbon emission track analysis method for the key emission industry of a regional power distribution network is characterized by comprising the following steps: the method comprises the following steps:
s1, energy consumption data are acquired;
acquiring primary energy consumption data such as industry natural gas, coal and the like, industry electricity consumption data and industry clean outsourcing thermal data;
s2, industry carbon emission classification;
s2.1, counting target enterprises;
counting and summarizing enterprise energy use data in the area, and selecting enterprises with annual greenhouse gas emission reaching carbon dioxide equivalent requirement values and above in the target area according to the enterprise energy consumption data;
s2.2, classifying the carbon emission according to sources;
determining a direct carbon emission source and an indirect carbon emission source of the industry according to the production process of the industry: direct carbon emission source: fossil fuels such as coal, petroleum, and natural gas;
indirect carbon emission source: carbon emission caused by outsourcing power and thermal use;
s3, direct carbon emission-fossil fuel combustion carbon emission calculation of enterprises;
s4, determining an emission factor of an indirect carbon emission source;
when an enterprise calculates carbon dioxide generated by power consumption, the regional power grid average emission factor can be quoted, and the regional power grid average carbon emission factor is determined through regional power system data;
the regional power grid emission factor calculation method is that the carbon emission factors of all enterprise load nodes in the regional power distribution network are calculated through a system node carbon emission factor matrix, and then the regional power grid carbon emission factors are calculated;
s5, establishing a carbon footprint model of the regional key emission industry;
and according to the carbon emission factors of various energy sources, building a carbon emission model of the regional key industry by utilizing the energy consumption data of the industry.
2. The method for analyzing the carbon emission track of the regional power distribution network key emission industry as claimed in claim 1, wherein the method comprises the following steps: the carbon dioxide equivalent requirement value in step S2.1 may be 2.6 ten thousand tons of carbon dioxide equivalent in the notice about the key work related to the management of the greenhouse gas emission report of 2022 year enterprise, which is issued by the 2022 ecological environment department.
3. The method for analyzing the carbon emission track of the regional power distribution network key emission industry as claimed in claim 1, wherein the method comprises the following steps: in step S2.2, for the single enterprise selected in the target area in S2.1, the carbon emissions may be divided into a direct carbon emission source and an indirect carbon emission source by the carbon emission source, and the calculation formula of the carbon emissions of the single enterprise is as follows:
C enterprise 1 =C Directly and directly +C Indirect connection (1)
In the formula (1):
C enterprise 1 Carbon emissions for a single business in an industry within a region;
C directly and directly Carbon emissions generated by using fossil fuels such as coal, oil, and natural gas for the enterprise 1;
C indirect connection And outsourcing electricity and heat generated carbon emission for enterprises 1.
4. A method for analyzing carbon emission trajectories of a regional power distribution network in an important emission industry as set forth in claim 3, wherein: the carbon emission generated by the direct carbon emission source of the enterprise in the step S2.2 is the sum of the carbon emission generated by the combustion of coal, petroleum, natural gas and other fossil fuels and various production processes; the calculation formula is as follows:
C directly and directly =C Coal +C Petroleum oil +C Natural gas +C Others (2)
In the formula (2):
C directly and directly Carbon emission generated by burning direct carbon emission sources of enterprises;
C coal Carbon emissions generated for the enterprise coal;
C petroleum oil Carbon emissions generated by burning petroleum for an enterprise;
C natural gas Carbon emissions generated by the combustion of natural gas for an enterprise;
C others Carbon emissions generated for other fossil fuel combustion and various production processes in enterprises, such as carbon dioxide emissions generated during the use of carbonates.
5. A method for analyzing carbon emission trajectories of a regional power distribution network in the heavy emission industry as set forth in claim 3 or 4, wherein: in the step S2.2, the carbon emission generated by the indirect carbon emission source of the enterprise is the sum of the electricity purchased by the electric company and the carbon emission generated by the heat purchased by the heat company; the calculation formula is as follows:
C indirect connection =C Electric power +C Thermal power (3)
In the formula (3):
C indirect connection Carbon emissions generated for enterprise electrical and thermal consumption;
C electric power Carbon emissions for enterprises to purchase power from the grid;
C thermal power Carbon emissions generated for the outsourcing heat of the enterprise.
6. The method for analyzing the carbon emission track of the regional power distribution network key emission industry as claimed in claim 1, wherein the method comprises the following steps: the calculation formula of the carbon emission of the combustion of fossil fuel in the production process of single enterprise products in the step S3 is as follows:
AD j =EC j ×NCV j (5)
EF j =CC j ×α j ×β (6)
wherein:
AD j combustion activity level data for the j-th fossil fuel, which is the heat of combustion of the j-th fossil fuel;
EF j is the emission factor of the j-th fossil fuel;
EC j the consumption of fossil fuel j;
NCV j average low calorific value for the j-th fossil fuel;
CC j carbon content per unit heating value for the j-th fossil fuel;
α j carbon oxidation rate for the j-th fossil fuel;
beta is the ratio of carbon dioxide to carbon molecular weight, and the value is 44/12.
7. The method for analyzing the carbon emission track of the regional power distribution network key emission industry as claimed in claim 1, wherein the method comprises the following steps: in the step S4, the calculation formula of the carbon emission factor of each load node of the system is as follows:
in formula (7);
E c the method comprises the steps of (1) carbon emission factor matrix for power utilization load nodes of enterprises in a regional distribution network;
P N active flux matrix for regional distribution network system nodes;
P B the power flow distribution matrix is a regional power distribution network system line power flow distribution matrix;
P G the power supply side output matrix of the regional power distribution network;
E G the output carbon emission intensity of the power supply side of the regional distribution network is calculated;
the regional power grid emission factor calculation formula is as follows:
in formula (8);
E m regional grid carbon emission factor for m regions;
P L the power of the power utilization load node is used for each enterprise in the m area;
E c,L carbon emission factors of power utilization load nodes of enterprises in the m area;
n is the number of businesses that incorporate carbon emission calculations in the region;
the calculation method of the regional thermodynamic emission factor is that the total amount of fuel consumed by regional thermodynamic production is multiplied by the carbon emission factor of the fuel divided by the total amount of thermodynamic production, and the calculation formula is as follows:
in the formula (9):
EF h the thermodynamic carbon emission factor is outsourced to the regional industry;
FC j consumption of fuel j for the regional thermodynamic system;
EF j carbon emission factor for fuel j;
HG is the total amount of thermal production of the regional thermodynamic system.
8. The method for analyzing the carbon emission track of the regional power distribution network key emission industry as claimed in claim 1, wherein the method comprises the following steps: in step S5, a calculation method for an important emission industry in the carbon emission model is as follows:
wherein:
CE industry 1 Carbon emissions, an important emission industry in a region;
carbon emissions generated for the industry enterprise k direct carbon emissions source; />Indirect for enterprise k in industryCarbon emissions generated by a carbon emissions source; />Carbon emission for purchasing electricity to the power system for enterprise k in the industry; />Carbon emission for purchasing heat from thermal power company for enterprise k in industry; k is the number of enterprises in the industry;
E e k the total amount of power consumed by enterprise k in the industry;
E m the regional power grid emission factor;
Eh k the total amount of heat consumed by enterprise k in the industry;
EF h is a regional thermal factor.
CN202310490504.5A 2023-05-04 2023-05-04 Carbon emission track analysis method for regional power distribution network key emission industry Pending CN116503225A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202310490504.5A CN116503225A (en) 2023-05-04 2023-05-04 Carbon emission track analysis method for regional power distribution network key emission industry

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202310490504.5A CN116503225A (en) 2023-05-04 2023-05-04 Carbon emission track analysis method for regional power distribution network key emission industry

Publications (1)

Publication Number Publication Date
CN116503225A true CN116503225A (en) 2023-07-28

Family

ID=87324479

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202310490504.5A Pending CN116503225A (en) 2023-05-04 2023-05-04 Carbon emission track analysis method for regional power distribution network key emission industry

Country Status (1)

Country Link
CN (1) CN116503225A (en)

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116823295A (en) * 2023-08-31 2023-09-29 国网山东省电力公司营销服务中心(计量中心) Method, system, equipment and medium for measuring carbon emission in steel industry
CN117291628A (en) * 2023-09-21 2023-12-26 南通大学 Comprehensive energy system carbon emission amount calculation method, device and storage medium

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116823295A (en) * 2023-08-31 2023-09-29 国网山东省电力公司营销服务中心(计量中心) Method, system, equipment and medium for measuring carbon emission in steel industry
CN116823295B (en) * 2023-08-31 2024-04-19 国网山东省电力公司营销服务中心(计量中心) Method, system, equipment and medium for measuring carbon emission in steel industry
CN117291628A (en) * 2023-09-21 2023-12-26 南通大学 Comprehensive energy system carbon emission amount calculation method, device and storage medium

Similar Documents

Publication Publication Date Title
CN116503225A (en) Carbon emission track analysis method for regional power distribution network key emission industry
CN115018230A (en) Low-carbon robust economic optimization operation method of comprehensive energy system considering emission reduction cost
CN114511128A (en) Carbon emission data processing method and device, storage medium and processor
Schoeneberger et al. Electrification potential of US industrial boilers and assessment of the GHG emissions impact
CN106228464A (en) A kind of grouping of the world economy thermal power generation corporations based on B/S framework carbon emission control method
CN109767080B (en) Demand side response evaluation method of community comprehensive energy system
CN105956786A (en) Energy management system used for fertilizer enterprise
CN114626570A (en) Power carbon emission trajectory analysis method and device
CN115879632A (en) Data processing method for carbon emission measurement and calculation data of industrial enterprise
CN114943480A (en) Iron and steel enterprise carbon emission monitoring method
CN110766335B (en) Regional power planning method considering demand side response
CN115600796A (en) Enterprise carbon disk checking and calculating method based on carbon elimination factor method
Wang et al. Economic benefits assessment of urban wind power central heating demonstration project considering the quantification of environmental benefits: A case from northern China
CN110244568B (en) Energy hub model of industrial enterprise microgrid and multi-energy complementary optimization control method thereof
CN116664161B (en) Carbon dioxide emission accounting technology selection method based on coal-fired thermal power plant
Zhang et al. Research on carbon emission measurement method based on carbon emission reduction of power grid supply chain
CN107977736A (en) The optimization method and system of fuel gas system based on calorific value balance
CN111091230A (en) Scientific coal blending co-combustion system based on coal full-value chain management of coal-fired power plant
CN113592561A (en) Green power index generation method based on big power economy data
Peng et al. An improved LP model for energy optimization of the integrated iron and steel plant with a cogeneration system in China
Gyanwali et al. Demand side management in industrial sector of nepal
Zhang et al. Exploring the impact of “double carbon target” on environmental efficiency of coal cities in China
Qiang et al. Research on the equilibrium of carbon trading income under the “source-load” scenario incorporated into the aggregator
Al Rafea Utilizing ‘power-to-gas’ technology for storing energy and to optimize the synergy between environmental obligations and economical requirements
Schoeneberger Energy Systems Analysis Framework for the Decarbonization of Industrial Process Heat

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