Multi-scene carbon emission reduction contribution quantification method and device in power grid operation

By constructing a multi-scenario carbon emission reduction quantitative model, quantifying the carbon emission reduction contribution in multiple fields such as energy production and transmission, energy use and substitution, and enterprise operations and management in power grid operations, the problem of difficulty in effectively quantifying the carbon emission reduction of power grids in existing technology is solved, and a comprehensive quantitative evaluation and display of carbon emission reduction contribution to power grid investment projects has been achieved.

CN120106363APending Publication Date: 2025-06-06STATE GRID JIANGSU ELECTRIC POWER CO LTD INNOVATION CENT
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Patent Information

Application Number
CN202510169731.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-17
Publication Date
2025-06-06

AI Technical Summary

Technical Problem

It is difficult for the prior art to effectively quantify the contribution of carbon emission reduction in multi-scenarios in power grid operations, especially in multiple fields such as energy production and transmission, energy use and substitution, and enterprise operations and management.

Method used

By constructing a multi-scenario carbon emission reduction quantitative model, the carbon emission reduction in power grid operations is divided into three dimensions: energy production and transmission, energy use and substitution, and enterprise operation and management. The carbon emission reduction in each dimension is calculated separately to achieve a quantitative assessment of the contribution of multi-scenario carbon emission reduction in power grid operations.

Benefits of technology

A comprehensive quantitative assessment of the contribution of carbon emission reduction in power grid investment projects has been achieved, helping power grid companies to demonstrate their contribution to carbon emission reduction, and promoting social energy conservation, carbon consumption reduction and comprehensive energy efficiency improvement.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses a multi-scene carbon emission reduction contribution quantification method and device in power grid operation, and the method comprises the steps: dividing the carbon emission reduction in the power grid operation into three dimensions: energy production and transmission, energy use and replacement, and enterprise operation and management according to different emission reduction scenes; and for the three dimensions, respectively calculating the carbon emission reduction amount of each dimension, thereby carrying out quantitative evaluation on the multi-scene carbon emission reduction contribution in the power grid operation. According to the method, a multi-scene carbon emission reduction quantitative model is constructed from three dimensions of energy production and transmission, energy use and substitution and enterprise operation and management, various carbon emission reduction contribution quantitative methods are determined, power grid enterprises can be effectively helped to comprehensively display power grid investment carbon emission reduction contributions, a green and low-carbon production and life style is helped to be guided, and the economic benefits of the power grid enterprises are improved. And social energy conservation, carbon reduction, consumption reduction and comprehensive energy efficiency level improvement are promoted.
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Description

Technical Field

[0001] The present invention belongs to the technical field of carbon emission reduction management, and specifically relates to a method and device for quantifying carbon emission reduction contributions in multiple scenarios in power grid operation. Background Art

[0002] Establishing a scientific carbon emission reduction quantitative model based on the production and operation characteristics of the power grid is the basis for conducting quantitative assessment of the carbon emission reduction contribution of power grid investment projects. However, carbon emission reduction projects in power grid operations involve multiple fields such as energy-saving transformation, energy efficiency improvement, electric energy substitution, new energy and renewable energy. In order to evaluate the carbon emission reduction contribution brought about by energy production and transmission, energy use and substitution, enterprise operation and management, it is necessary to propose a multi-scenario carbon emission reduction contribution quantitative model from the perspective of power grid operation, and truly present the carbon emission reduction contribution made by power grid enterprises in the construction of new power systems. Summary of the invention

[0003] Purpose of the invention: The present invention provides a method and device for quantifying the contribution of multi-scenario carbon emission reduction in power grid operation. By constructing a multi-scenario carbon emission reduction quantification model for power grid investment projects, the quantification method of various carbon emission reduction contributions is determined to help power grid companies fully demonstrate the carbon emission reduction contribution of power grid investment and transmit carbon value to upstream and downstream companies.

[0004] Invention content: To achieve the above objectives, the present invention provides a method for quantifying carbon emission reduction contributions in multiple scenarios in power grid operation, comprising the following steps:

[0005] According to different emission reduction scenarios, the carbon emission reduction in power grid operation is divided into three dimensions: energy production and transmission, energy use and substitution, and enterprise operation and management;

[0006] For the three major dimensions, the carbon emission reduction in each dimension is calculated separately, thereby quantitatively evaluating the contribution of carbon emission reduction in multiple scenarios in power grid operation.

[0007] Specifically, the energy production and transmission dimension includes four carbon emission reductions:

[0008] ① Carbon emission reduction from non-fossil energy power generation, that is, the total amount of carbon emission reduction brought about by the consumption and utilization of non-fossil energy such as hydropower, nuclear power, and new energy;

[0009] ② Line loss carbon emission reduction, that is, the carbon emission reduction corresponding to the power saving brought about by the reduction of power grid line loss rate;

[0010] ③ Electricity carbon emission reduction from power generation rights trading, that is, the corresponding emission reduction generated by the power trading center's power generation rights transfer transactions from low-carbon power generation to high-carbon power generation;

[0011] ④ Carbon emission reduction during the construction of power transmission and transformation projects, that is, the carbon emission reduction generated by the use of new materials, new processes and new equipment during the construction of the company's infrastructure projects.

[0012] Specifically, the method for calculating carbon emission reduction in the energy production and transmission dimensions includes:

[0013] ① Carbon emission reduction from non-fossil energy power generation = non-fossil energy power generation × regional benchmark emission factor;

[0014] ② Line loss emission reduction = (line loss rate last year - line loss rate this year) × power supply this year × national power generation kilowatt-hour carbon emission coefficient;

[0015] ③ Carbon emission reduction from power generation rights trading = replaced electricity × carbon emission reduction coefficient of the unit;

[0016] ④ Carbon emission reduction during the construction of power transmission and transformation projects = emission reduction due to the application of new materials + emission reduction due to the application of new processes + emission reduction due to the application of new equipment;

[0017] Among them, new materials refer to the high-strength steel towers used in overhead lines, and their carbon emission reduction = high-strength steel usage × steel saving coefficient × steel emission factor;

[0018] The new technology refers to the use of cableway transportation in overhead line construction. Its carbon emission reduction = emission reduction coefficient of cableway used in line engineering × number of kilometers of mountain line;

[0019] New equipment refers to the use of prefabricated cabin-type temporary construction facilities in construction. Its carbon emission reduction = carbon emission reduction coefficient of prefabricated cabin-type temporary construction × number of projects.

[0020] Specifically, the energy use and substitution dimension includes three carbon emission reductions:

[0021] 1) Carbon emission reductions due to electricity substitution, i.e., carbon emission reductions due to terminal electricity substitution, including the total amount of carbon emissions reduced in the fields of industry, construction, transportation, agriculture and rural areas, and daily consumption due to electricity substitution;

[0022] 2) Carbon emission reductions from electricity demand response, i.e., carbon emission reductions from saving power system investment through demand response;

[0023] 3) Carbon emission reduction due to energy efficiency improvement, that is, the carbon emissions corresponding to the reduction in consumption of various energy categories achieved by the company through social energy efficiency improvement projects.

[0024] Specifically, the method for calculating carbon emission reduction in the energy use and substitution dimensions includes:

[0025] 1) Carbon emission reduction from electricity substitution = ∑ the amount of various fossil energy sources replaced × the carbon emission factors of various fossil energy sources - the amount of electricity replaced × the carbon emission coefficient of national power generation per kilowatt-hour;

[0026] 2) Carbon emission reduction in response to electricity demand = reduction in electricity consumption × national carbon emission coefficient for electricity generation per kilowatt-hour + maximum reduction in peak load × (average unit power generation investment × unit investment emission coefficient for power generation system + average unit supporting power grid investment × unit investment emission coefficient for power grid system);

[0027] 3) Carbon emission reduction due to energy efficiency improvement = electricity saving from energy efficiency improvement projects × national carbon emission coefficient per kilowatt-hour of electricity generated.

[0028] Specifically, the enterprise operation and management dimension includes three carbon emission reductions:

[0029] A. Green operation and maintenance carbon emission reduction, that is, the carbon emission reduction in the process of power grid operation and maintenance brought about by advanced technologies such as digitalization, intelligence, and automation;

[0030] B. Carbon emission reduction from office energy use, i.e., carbon emission reduction from the reduction of comprehensive energy consumption of the company's production auxiliary rooms and electricity consumption of the data center computer room;

[0031] C. Carbon emission reductions from supply chain management, that is, the carbon emission reductions generated through modern smart supply chain management methods such as electronic and online processes in the procurement process of power grid companies.

[0032] Specifically, the carbon emission reduction calculation method in the enterprise operation and management dimension includes:

[0033] A. Green operation and maintenance carbon emission reduction = technical carbon emission reduction + operation and maintenance carbon emission reduction;

[0034] Among them, technical carbon emission reduction = number of mixed gas GIS application intervals × SF per interval 6 Average gas saving × SF 6 Gas carbon emission factor;

[0035] Operation and maintenance carbon emission reduction = number of substations under jurisdiction × average jurisdiction radius × average annual reduction in patrol times × vehicle fuel consumption per kilometer × fuel carbon emission factor + substation power consumption × power saving rate of intelligent control station equipment × national power generation kilowatt-hour carbon emission coefficient;

[0036] B. Carbon emission reduction of office energy use = (carbon emission intensity in the base year - carbon emission intensity in the current year) × total area corresponding to office energy use in the current year;

[0037] Among them, annual carbon emission intensity = ∑ (total carbon emission of each unit / office energy area of ​​each unit);

[0038] Total carbon emissions of each unit = fossil fuel combustion consumption × corresponding fossil fuel combustion emission factor + purchased electricity × national electricity carbon emission coefficient + purchased heat × heat emission factor;

[0039] C. Carbon emissions reduction from supply chain management = carbon emissions reduction from reducing paper printing through electronicization + carbon emissions reduction from reducing business travel through onlineization.

[0040] In addition, the present invention also provides a device for quantifying the contribution of carbon emission reductions in multiple scenarios in power grid operations, including a data-connected processor and a memory, wherein the memory is used to store multi-scenario carbon emission reduction data in power grid operations, so that the processor can perform quantitative calculations according to the above-mentioned multi-scenario carbon emission reduction contribution quantification method.

[0041] Beneficial effects: The present invention scientifically quantifies the carbon emission reduction contributions of ten scenarios, including non-fossil energy power generation, electricity substitution, electricity demand response, line loss reduction, energy efficiency improvement, power generation rights trading, supply chain management, transmission and transformation project construction, green operation and maintenance, and office energy use, from the three dimensions of energy production and transmission, energy use and substitution, and enterprise operation and management. It constructs a multi-scenario carbon emission reduction quantification model and determines the quantification method of various carbon emission reduction contributions, which can effectively help power grid companies to fully demonstrate the carbon emission reduction contribution of power grid investment, help lead a green and low-carbon production and lifestyle, and promote social energy conservation, carbon reduction, consumption reduction, and improvement of comprehensive energy efficiency levels. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 This is a schematic diagram of a method for quantifying carbon emission reduction contributions in multiple scenarios in an embodiment of the present invention. DETAILED DESCRIPTION

[0043] In order to facilitate the understanding of the present invention, the present invention will be described more comprehensively below, and preferred embodiments of the present invention are provided. However, the present invention can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to make the understanding of the disclosure of the present invention more thorough and comprehensive.

[0044] Reference Figure 1 The present invention provides a method for quantifying the contribution of carbon emission reduction in multiple scenarios in power grid operation. First, according to different emission reduction scenarios, the carbon emission reduction in power grid operation can be divided into three dimensions: energy production and transmission, energy use and substitution, and enterprise operation and management. In this way, the contribution of carbon emission reduction in multiple scenarios in power grid operation can be quantitatively evaluated.

[0045] Among them, the energy production and transmission dimension includes four carbon emission reductions, namely, carbon emission reduction from non-fossil energy power generation, carbon emission reduction from line loss, carbon emission reduction from power generation rights trading, and carbon emission reduction from power transmission and transformation project construction process; the energy use and substitution dimension includes three carbon emission reductions, namely, carbon emission reduction from electricity substitution, carbon emission reduction from power demand response, and carbon emission reduction from energy efficiency improvement; the enterprise operation and management dimension includes three carbon emission reductions, namely, carbon emission reduction from green operation and maintenance, carbon emission reduction from office energy consumption, and carbon emission reduction from supply chain management.

[0046] Specifically, the calculation method of carbon emission reduction in each dimension is as follows:

[0047] 1. Carbon emissions reduction from non-fossil energy power generation:

[0048] (1) Calculation formula:

[0049] Total carbon emission reduction brought about by the consumption and utilization of non-fossil energy such as hydropower, nuclear power, and new energy:

[0050] Carbon emission reduction from non-fossil energy power generation = non-fossil energy power generation × regional benchmark emission factor.

[0051] (2) Data selection:

[0052] Non-fossil energy power generation includes the power generation of non-fossil energy power stations such as wind power, photovoltaic power, hydropower, biomass power, nuclear power, geothermal, tidal, and pumped storage, using the "Power Production Details" data in the "Online Power Grid" (PIS system);

[0053] The regional benchmark emission factor adopts the recommended value, and the latest publicly available data is used when there is updated data. Wind power stations and solar power stations are intermittent and non-dispatchable as Class I, and other power stations are Class II.

[0054] 2. Line loss reduction:

[0055] (1) Calculation formula:

[0056] The carbon emission reduction corresponding to the electricity saving brought about by the reduction of power grid line loss rate is:

[0057] This year's line loss carbon emission reduction = (last year's line loss rate - this year's line loss rate) × this year's power supply × national power generation kilowatt-hour carbon emission coefficient.

[0058] (2) Data selection:

[0059] The power supply and line loss rate adopt the data of "Power Supply Dispatch Table (parent company caliber)" in "Online Power Grid" (PIS system);

[0060] The national carbon emission coefficient per kilowatt-hour of power generation is the recommended value used in the national carbon emission coefficient per kilowatt-hour of power generation. When updated data is available, the latest publicly available data will be used.

[0061] 3. Carbon emission reduction from power generation rights trading:

[0062] (1) Calculation formula:

[0063] The corresponding emission reductions generated by the power trading center's transfer of power generation rights from low-carbon power generation to high-carbon power generation are:

[0064] Carbon emission reduction from power generation rights trading = replaced electricity × carbon emission reduction coefficient of the unit.

[0065] (2) Data selection:

[0066] The replacement electricity volume shall be the electricity volume executed for the monthly fire-to-fire replacement transaction in the "Market-based Trading Contract Details Table";

[0067] The carbon emission reduction coefficient of the unit adopts the recommended value.

[0068] 4. Carbon emission reduction during the construction of power transmission and transformation projects:

[0069] (1) Calculation formula:

[0070] Carbon emission reductions generated by the use of new materials, new processes and new equipment during the construction of infrastructure projects carried out by the company:

[0071] Carbon emission reduction during the construction of power transmission and transformation projects = emission reduction due to application of new materials + emission reduction due to application of new processes + emission reduction due to application of new equipment;

[0072] Among them, new materials refer to the high-strength steel towers used in overhead lines, and their carbon emission reduction = high-strength steel usage × steel saving coefficient × steel emission factor;

[0073] The new technology refers to the use of cableway transportation in overhead line construction. Its carbon emission reduction = emission reduction coefficient of cableway used in line engineering × number of kilometers of mountain line;

[0074] New equipment refers to the use of prefabricated cabin-type temporary construction facilities in construction. Its carbon emission reduction = carbon emission reduction coefficient of prefabricated cabin-type temporary construction × number of projects.

[0075] (2) Data selection:

[0076] High-strength steel usage: high-strength steel poles and towers are used for overhead lines, and new infrastructure technology statistical information table monthly report;

[0077] The number of kilometers of mountain line: refer to the project construction table, which is divided into suburban areas, urban areas, etc.;

[0078] Prefabricated cabin-type temporary buildings refer to assembled temporary buildings hoisted from outside the construction site to the site, including prefabricated panel houses;

[0079] The number of projects is for substation construction. Obtain substation construction projects of different voltage levels (110kV / 220kV / 500kV) from the construction plan issued by the company. Contact the construction units of each substation project one by one and ask whether they use prefabricated cabins. Then count the projects that use prefabricated cabins.

[0080] The recommended values ​​are adopted for the steel saving coefficient, steel emission factor, carbon emission reduction coefficient of cableway used in line projects, and carbon emission reduction coefficient of prefabricated cabin-type temporary construction.

[0081] 5. Carbon emission reduction from electricity substitution:

[0082] (1) Calculation formula:

[0083] The total amount of carbon emissions reduced by electricity substitution in industries, construction, transportation, agriculture, rural areas, and daily consumption:

[0084] Carbon emission reduction due to electricity substitution = ∑ the amount of various fossil energy sources replaced × the carbon emission factors of various fossil energy sources - the amount of electricity replaced × the carbon emission coefficient of national power generation per kilowatt-hour.

[0085] (2) Data selection:

[0086] The amount of fossil energy replaced adopts the recommended value, and the amount of electricity replaced is converted into fossil energy. The amount of electricity replaced includes the amount of electricity replaced in the fields of industry, construction, transportation, agriculture and rural areas, and daily consumption. It uses the "Electricity Service Management Platform" to export the replaced equipment, fuel type, and annual increase in electricity for eight major technical types of projects, including decentralized electric heating, electric boiler heating, heat pumps, electric storage air conditioners, industrial electric kilns, port shore power, electric vehicles, and household electrification;

[0087] The carbon emission factor of fossil energy and the national carbon emission coefficient per kilowatt-hour of electricity generation adopt recommended values, and when updated data are available, the latest publicly available data will be used.

[0088] 6. Carbon emission reductions from electricity demand response:

[0089] (1) Calculation formula:

[0090] Savings in electricity system investment and reducing electricity consumption through demand response can reduce carbon emissions:

[0091] Carbon emission reduction in electricity demand response = reduction in electricity consumption × national carbon emission coefficient for electricity generation per kilowatt-hour + maximum reduction in peak load × (average unit power generation investment × emission coefficient for unit investment in power generation system + average unit supporting power grid investment × emission coefficient for unit investment in power grid system).

[0092] (2) Data selection:

[0093] Reduce power consumption and minimize peak loads by using data from the "power demand side implementation management system" or "provincial smart energy platform";

[0094] The recommended values ​​shall be adopted for the average unit investment in power generation, the average unit investment in supporting power grids, the unit investment emission coefficient of power generation systems, and the unit investment emission coefficient of power grid systems. The unit investment emission coefficient of power generation systems and the unit investment emission coefficient of power grid systems shall be based on 2020 and decrease by 1% each year.

[0095] The national carbon emission coefficient per kilowatt-hour of power generation adopts the recommended value. When updated data is available, the latest publicly available data will be used.

[0096] 7. Energy efficiency improves carbon emission reduction:

[0097] (1) Calculation formula:

[0098] The company has carried out social energy efficiency improvement projects, and the reduction in consumption of various energy categories has achieved corresponding carbon emissions:

[0099] Carbon emission reduction due to energy efficiency improvement = electricity saved by energy efficiency improvement project × national carbon emission coefficient per kilowatt-hour of electricity generated.

[0100] (2) Data selection:

[0101] Energy efficiency improvement projects include: motor system energy saving, building energy saving, green lighting, heat pump, boiler (kiln) energy saving transformation, waste heat and waste pressure utilization, etc. The energy efficiency improvement project power saving does not include non-fossil energy power generation, and uses the annual power saving of the project in the "Electricity Service Management Platform";

[0102] The national carbon emission coefficient per kilowatt-hour of electricity generated adopts the recommended value, and when updated data is available, the latest publicly available data will be used.

[0103] 8. Carbon emission reduction from green operation and maintenance:

[0104] (1) Calculation formula:

[0105] Reduce carbon emissions during grid operation and maintenance through advanced technologies such as digitalization, intelligence, and automation:

[0106] Green operation and maintenance carbon emission reduction = technical carbon emission reduction + operation and maintenance carbon emission reduction;

[0107] Among them, technical carbon emission reduction = number of mixed gas GIS application intervals × SF per interval 6 Average gas saving × SF 6 Gas carbon emission factor;

[0108] Each interval SF 6 Average gas saving = (∑Number of intervals at each voltage level × SF per interval at the corresponding voltage level) 6 Gas savings) / total number of intervals;

[0109] Operation and maintenance carbon emission reduction = number of substations under jurisdiction × average jurisdiction radius × average annual reduction in patrol times × vehicle fuel consumption per kilometer × fuel carbon emission factor + substation power consumption × power saving rate of intelligent control station equipment × national power generation kilowatt-hour carbon emission coefficient;

[0110] Average jurisdiction radius = (∑ number of substations under the jurisdiction of each operation and maintenance team × number of kilometers of jurisdiction radius) / total number of substations under jurisdiction;

[0111] Average annual reduction in patrol frequency = (∑ number of substations under the jurisdiction of each voltage level × annual reduction in patrol frequency) / total number of substations under jurisdiction.

[0112] (2) Data selection:

[0113] The number of bays includes new substations and in-service substations through offline statistics;

[0114] Each voltage level per interval SF 6 Gas savings is the amount of SF that is reduced by using alternative insulating gases. 6 Gas volume is counted offline;

[0115] The average jurisdiction radius is the number of kilometers from the operation and maintenance team to the substation using the "equipment management system" (PMS system);

[0116] The power consumption of the station is calculated using the PMS system "Operation and Maintenance Center - Network Operation and Maintenance Management - Plan Supplement Page - Station Power Consumption Statistics";

[0117] The number of substations uses the PMS system "Grid Resource Center - Grid Resource Management - Equipment Account Management - Equipment Account Query Statistics";

[0118] The annual reduction in the number of inspections is achieved through optimizing routes, remote inspections, etc., using offline statistics;

[0119] The intelligent control station equipment includes the fans, air conditioners, humidity and other intelligent equipment of the substation. The power saving rate of the intelligent control station equipment is calculated according to the equipment design value;

[0120] The vehicle mileage and fuel consumption data are calculated by a comprehensive service company.

[0121] The national carbon emission coefficient per kilowatt-hour of electricity generated adopts the recommended value, and when updated data is available, the latest publicly available data will be used.

[0122] 9. Carbon emissions reduction from office energy use:

[0123] (1) Calculation formula:

[0124] Carbon emission reduction caused by the reduction of comprehensive energy consumption of the company's production auxiliary rooms and electricity consumption of the data center computer room:

[0125] Carbon emission reduction of office energy use = (carbon emission intensity in the base year - carbon emission intensity in the current year) × total area corresponding to office energy use in the current year;

[0126] Among them, annual carbon emission intensity = ∑ (total carbon emission of each unit / office energy area of ​​each unit);

[0127] Total carbon emissions of each unit = fossil fuel combustion consumption × corresponding fossil fuel combustion emission factor + purchased electricity × national carbon emission coefficient per kilowatt-hour of electricity + purchased heat × heat emission factor.

[0128] (2) Data selection:

[0129] Office energy consumption includes energy consumption of office-related facilities and equipment within the scope of the company's operational control, including energy consumption of leased office facilities and equipment; it does not include production-related energy consumption, such as engineering vehicles; nor does it include outsourced facilities and equipment, such as cafeterias;

[0130] The fossil fuel consumption is calculated using the statistical report of the Logistics Department. The purchased electricity does not include direct purchase of electricity from renewable energy or self-generated electricity. The electricity consumption data calculated by the Marketing 2.0 system is used.

[0131] The national carbon emission coefficient for electricity generation per kilowatt-hour adopts the recommended value, and when updated data is available, the latest publicly available data is used;

[0132] The thermal emission factor adopts the recommended value, and when updated data is available, the latest publicly available data will be used.

[0133] 10. Carbon emissions reduction from supply chain management:

[0134] (1) Calculation formula:

[0135] Carbon emission reductions generated through modern intelligent supply chain management methods such as electronic and online:

[0136] Carbon emissions reduction from supply chain management = carbon emissions reduction from reducing paper printing through electronicization + carbon emissions reduction from reducing business travel through onlineization;

[0137] Among them, the carbon emission reduction from reducing paper printing through electronicization = carbon emission of a single piece of paper × (the number of bidding packages of bidders throughout the year × the number of single bidding documents + the number of contracts signed throughout the year × the number of single contracts + the number of settlement documents handled throughout the year × the number of single settlement documents + the number of warehousing operation documents throughout the year × the number of single warehousing business documents + the number of supervision reports throughout the year × the number of single supervision reports);

[0138] The amount of carbon emissions reduced by reducing business travel through online means = (the number of bidders throughout the year × the mileage of long-distance travel × the carbon emissions per person per kilometer of long-distance travel) + (the number of contracts signed throughout the year × the mileage of long-distance travel × the carbon emissions per person per kilometer of long-distance travel) + (the number of settlement documents processed throughout the year × the mileage of long-distance travel × the carbon emissions per person per kilometer of long-distance travel).

[0139] (2) Data selection:

[0140] The number of bid packages and the number of bidders shall be counted by the ECP system first. The number of contracts signed and the number of annual supervision reports shall be counted by the electronic signature module and the quality control module of the ECP system respectively. If the system is not available, the offline statistics shall be used.

[0141] The number of settlement documents handled throughout the year and the number of warehousing operation documents throughout the year are based on ERP and supplier management platform data;

[0142] The carbon emissions of a single piece of paper, the number of papers of a single bid document, the number of papers of a single contract, the number of papers of a single settlement document, the number of papers of a single warehousing business document, the number of papers of a single supervision report, the mileage of long-distance travel, the carbon emissions per person per kilometer of long-distance travel, the mileage of short-distance travel, and the carbon emissions per person per kilometer of short-distance travel use the recommended values.

[0143] In addition, the present invention also provides a device for quantifying the contribution of multi-scenario carbon emission reductions in power grid operations, including a data-connected processor and a memory, wherein the memory is used to store multi-scenario carbon emission reduction data in power grid operations, and the processor is used to perform quantitative calculations based on the above-mentioned multi-scenario carbon emission reduction contribution quantification method and the carbon emission reduction data stored in the storage unit, and the calculation results can be further stored in the storage unit.

[0144] The above specific implementations are only descriptions of the preferred implementations of the present invention, and do not limit the protection scope of the present invention. Without departing from the design concept and spirit of the present invention, various modifications, substitutions and improvements made by ordinary technicians in this field to the technical solution of the present invention based on the text description and drawings provided by the present invention should all fall within the protection scope of the present invention.

Claims

1. A method for quantifying the contribution of carbon emission reduction in multiple scenarios in power grid operation, characterized in that: The following steps are involved: According to different emission reduction scenarios, the carbon emission reduction in power grid operation is divided into three dimensions: energy production and transmission, energy use and substitution, and enterprise operation and management; For the three major dimensions, the carbon emission reduction in each dimension is calculated separately, thereby quantitatively evaluating the contribution of carbon emission reduction in multiple scenarios in power grid operation.

2. The multi-scenario carbon emission reduction contribution quantification method according to claim 1 is characterized in that: The energy production and transmission dimension includes four carbon emission reductions, namely, carbon emission reduction from non-fossil energy power generation, carbon emission reduction from line losses, carbon emission reduction from power generation rights trading, and carbon emission reduction from the construction process of transmission and transformation projects.

3. The multi-scenario carbon emission reduction contribution quantification method according to claim 2 is characterized in that: The calculation method of carbon emission reduction in energy production and transmission dimension includes: ① Carbon emission reduction from non-fossil energy power generation = non-fossil energy power generation × regional benchmark emission factor; ② Line loss emission reduction = (line loss rate of the previous year - line loss rate of this year) × power supply of this year × national power generation kilowatt-hour carbon emission coefficient; ③ Carbon emission reduction from power generation rights trading = replaced electricity × carbon emission reduction coefficient of the unit; ④ Carbon emission reduction during the construction of power transmission and transformation projects = emission reduction due to the application of new materials + emission reduction due to the application of new processes + emission reduction due to the application of new equipment; Among them, new materials refer to the high-strength steel poles and towers used in overhead lines, and their carbon emission reduction = high-strength steel usage × steel saving coefficient × steel emission factor; The new technology refers to the use of cableway transportation in overhead line construction. Its carbon emission reduction = emission reduction coefficient of cableway used in line engineering × number of kilometers of mountain line; New equipment refers to the use of prefabricated cabin-type temporary construction facilities in construction. Its carbon emission reduction = carbon emission reduction coefficient of prefabricated cabin-type temporary construction × number of projects.

4. The multi-scenario carbon emission reduction contribution quantification method according to claim 1 is characterized in that: The energy use and substitution dimension includes three carbon emission reductions, namely, carbon emission reductions from electricity substitution, carbon emission reductions from electricity demand response, and carbon emission reductions from energy efficiency improvement.

5. The multi-scenario carbon emission reduction contribution quantification method according to claim 4 is characterized in that: The calculation method of carbon emission reduction in the energy use and substitution dimension includes: 1) Carbon emission reduction from electricity substitution = ∑ the amount of various fossil energy sources replaced × the carbon emission factors of various fossil energy sources - the amount of electricity replaced × the carbon emission coefficient of national power generation per kilowatt-hour; 2) Carbon emission reduction in response to electricity demand = reduction in electricity consumption × national carbon emission coefficient for electricity generation per kilowatt-hour + maximum reduction in peak load × (average unit power generation investment × unit investment emission coefficient for power generation system + average unit supporting power grid investment × unit investment emission coefficient for power grid system); 3) Carbon emission reduction due to energy efficiency improvement = electricity saving from energy efficiency improvement projects × national carbon emission coefficient per kilowatt-hour of electricity generated.

6. The multi-scenario carbon emission reduction contribution quantification method according to claim 1 is characterized in that: The enterprise operation and management dimension includes three carbon emission reductions, namely green operation and maintenance carbon emission reduction, office energy consumption carbon emission reduction, and supply chain management carbon emission reduction.

7. The multi-scenario carbon emission reduction contribution quantification method according to claim 6 is characterized in that: The calculation method of carbon emission reduction in the enterprise operation and management dimension includes: A. Green operation and maintenance carbon emission reduction = technical carbon emission reduction + operation and maintenance carbon emission reduction; Among them, technical carbon emission reduction = number of mixed gas GIS application intervals × average SF6 gas savings per interval × SF6 gas carbon emission factor; Operation and maintenance carbon emission reduction = number of substations under jurisdiction × average jurisdiction radius × average annual reduction in patrol times × vehicle fuel consumption per kilometer × fuel carbon emission factor + substation power consumption × power saving rate of intelligent control station equipment × national power generation kilowatt-hour carbon emission coefficient; B. Carbon emission reduction of office energy use = (carbon emission intensity in the base year - carbon emission intensity in the current year) × total area corresponding to office energy use in the current year; Among them, annual carbon emission intensity = ∑ (total carbon emission of each unit / office energy area of ​​each unit); Total carbon emissions of each unit = fossil fuel combustion consumption × corresponding fossil fuel combustion emission factor + purchased electricity × national electricity carbon emission coefficient + purchased heat × heat emission factor; C. Carbon emissions reduction from supply chain management = carbon emissions reduction from reducing paper printing through electronicization + carbon emissions reduction from reducing business travel through onlineization.

8. A device for quantifying carbon emission reduction contributions in multiple scenarios in power grid operation, characterized in that: It includes a data-connected processor and memory, wherein the memory is used to store multi-scenario carbon emission reduction data in power grid operation, so that the processor can perform quantitative calculations according to the multi-scenario carbon emission reduction contribution quantification method described in any one of claims 1 to 7.