CN115271994A - Power industry carbon emission monitoring method and device based on digital twinning - Google Patents
Power industry carbon emission monitoring method and device based on digital twinning Download PDFInfo
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Abstract
The invention provides a method and a device for monitoring carbon emission in the power industry based on digital twinning, wherein the corresponding method comprises the following steps: acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchasing and using process of a power generation enterprise; the method comprises the steps of obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise; and monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises. The invention combines carbon emission monitoring and digital twinning technology from two aspects of power enterprises and power grid enterprises, thereby realizing parallel simulation of carbon emission data in a power link on a virtual digital platform, and finally realizing digital combination, visibility, accurate calculation and good management of carbon emission in the power industry.
Description
Technical Field
The invention relates to the field of power industry, in particular to a method and a device for monitoring carbon emission in power industry based on digital twinning, belonging to the technical field of carbon emission in power industry.
Background
In recent years, electric carbon emission based on energy data has also received a wide attention. In addition, the space difference of the energy efficiency of the power plants in different areas is obvious, carbon emission monitoring is carried out on the links for transmission and distribution aiming at the characteristics of local energy power structures, and the method is favorable for carrying out staged peak-reaching differential control on different areas. The carbon emission of the power application period including power generation, power transmission and power distribution is subjected to early prediction, operation monitoring and process control by related power generation enterprises and power grids, and the digital and intelligent development of carbon emission monitoring and accounting is promoted.
Along with the development of the internet of things and big data technology, the fine monitoring and accounting of the power carbon emission become a necessary trend. In the prior art, a carbon emission accounting method mainly adopts an emission list statistical method, namely, a total emission is obtained by counting the combustion quantity of coal and other fuels of related enterprises, the carbonate consumption in a desulfurization process, the network loss in a power transmission process of a power grid and the like, and the problems of slow data acquisition, no information sharing, difficult intelligent control and the like exist in the process; meanwhile, the carbon emission accounting calculation process is complicated, the calculation method is complex, the requirement on professional technology is high, the accounting period is long and lags (the previous year is the period), and full coverage cannot be realized.
In summary, a method for real-time fine prediction, analysis, comparison and evaluation of power carbon emission is needed.
Disclosure of Invention
The method and the device for monitoring the carbon emission in the power industry based on the digital twinning combine the carbon emission monitoring and the digital twinning technology from two aspects of power enterprises and power grid enterprises, so that the parallel simulation of the carbon emission data in the power link on a virtual digital platform is realized, and finally the digital combination of the carbon emission in the power industry is realized, and the carbon emission is seen, calculated and managed well.
In order to achieve the above object, there is provided a power industry carbon emission monitoring method based on digital twinning, including:
acquiring the carbon dioxide emission generated in the fuel combustion process, the desulfurization process and the electricity purchasing and using process of a power generation enterprise;
obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise;
and monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
In one embodiment, the acquiring the carbon dioxide emissions generated by each of the fuel combustion process, the desulfurization process and the electricity purchasing process of the power generation enterprise comprises:
determining the carbon dioxide emission generated in the fuel combustion process according to the activity level parameter of the electric fuel and the carbon dioxide emission factor of the electric fuel;
determining the carbon dioxide emission amount generated in the desulfurization process according to the carbonate consumption amount in each desulfurizer and the emission factor of each desulfurizer;
and calculating the carbon dioxide emission generated by the purchase electricity using process according to the purchase electricity using quantity.
In one embodiment, the determining the amount of carbon dioxide emissions generated by the fuel combustion process based on the activity level parameter of the electric fuel and the carbon dioxide emission factor of the electric fuel comprises:
acquiring activity level parameters of each electric fuel and corresponding carbon dioxide emission factors;
calculating the carbon dioxide emission amount generated in the combustion process of each electric power fuel according to the activity level parameter of each electric power fuel and the corresponding carbon dioxide emission factor;
determining the carbon dioxide emission generated by the fuel combustion process according to the carbon dioxide emission generated by each electric fuel combustion process.
In one embodiment, the obtaining the activity level parameter and the corresponding carbon dioxide emission factor of each electric power fuel comprises:
determining the activity level parameter according to the average lower heating value and the net consumption of each power fuel;
the carbon dioxide emission factor is determined according to the carbon content per calorific value and the carbon oxidation rate of each electric fuel.
In an embodiment, the obtaining of the emission amount of sulfur hexafluoride generated in the usage process of the sulfur hexafluoride equipment of the power grid enterprise includes:
determining the discharge amount of sulfur hexafluoride generated in the using process of the sulfur hexafluoride equipment according to the discharge amount of the sulfur hexafluoride generated in the overhaul process and the retirement process of the sulfur hexafluoride equipment;
the step of determining the greenhouse gas emission amount of the power grid enterprise according to the carbon dioxide emission amount generated in the power distribution loss process comprises the following steps:
and determining the carbon dioxide emission generated in the power distribution loss process according to the power transmission and distribution loss and the annual average power supply emission factor of the regional power grid.
In one embodiment, the digital twin-based power industry carbon emission monitoring method further comprises:
and determining the power transmission and distribution loss electric quantity according to the power supply quantity and the power selling quantity of the power grid enterprise.
In a second aspect, the present invention provides a digital twin-based power industry carbon emission monitoring device, comprising:
the power generation emission acquisition module is used for acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and an electric power purchase and use process of a power generation enterprise;
the system comprises a power grid emission obtaining module, a power grid management module and a power distribution module, wherein the power grid emission obtaining module is used for obtaining the emission of sulfur hexafluoride generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and the emission of carbon dioxide generated in the power distribution loss process to determine the greenhouse gas emission of the power grid enterprise;
and the emission monitoring module is used for monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
In one embodiment, the power generation emission amount acquisition module includes:
a combustion emission determination unit for determining the carbon dioxide emission generated by the fuel combustion process according to the activity level parameter of the electric fuel and the carbon dioxide emission factor of the electric fuel;
a desulfurization emission amount determining unit for determining an emission amount of carbon dioxide generated in the desulfurization process according to the consumption amount of carbonate in each desulfurizing agent and an emission factor of each desulfurizing agent;
and the electric power emission calculating unit is used for calculating the carbon dioxide emission generated in the purchase using electric power process according to the purchase using electric power quantity.
In one embodiment, the combustion discharge amount determination unit includes:
the emission factor acquisition unit is used for acquiring the activity level parameter of each electric fuel and the corresponding carbon dioxide emission factor;
a single fuel emission calculating unit for calculating the carbon dioxide emission generated in the combustion process of each electric fuel according to the activity level parameter of each electric fuel and the corresponding carbon dioxide emission factor;
a combustion emission amount determining subunit for determining the amount of carbon dioxide emission generated by the fuel combustion process based on the amount of carbon dioxide emission generated by the combustion process of each of the electric fuels.
In one embodiment, the emission factor acquiring unit includes:
a level parameter determination unit for determining the activity level parameter from the average lower heating value and the net consumption amount of each power fuel;
and the emission factor determination unit is used for determining the carbon dioxide emission factor according to the carbon content per unit heating value and the carbon oxidation rate of each electric fuel.
In one embodiment, the grid emission obtaining module includes:
the equipment sulfur hexafluoride determining unit is used for determining the sulfur hexafluoride emission generated in the using process of the sulfur hexafluoride equipment according to the sulfur hexafluoride emission generated in the overhaul process and the retirement process of the sulfur hexafluoride equipment;
and the distribution sulfur hexafluoride determining unit is used for determining the carbon dioxide emission generated in the distribution loss process according to the power transmission and distribution loss electric quantity and the annual average power supply emission factor of the regional power grid.
In one embodiment, the digital twin-based electric power industry carbon emission monitoring device further comprises:
and the power consumption and distribution loss and power consumption determining module is used for determining the power transmission and distribution loss and power consumption according to the power supply quantity and the power selling quantity of the power grid enterprise.
In a third aspect, the present invention provides an electronic device, comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of the digital twin-based power industry carbon emission monitoring method when executing the program.
In a fourth aspect, the invention provides a computer readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of a digital twin based power industry carbon emission monitoring method.
As can be seen from the above description, in the power industry carbon emission monitoring method and apparatus based on digital twin according to the embodiments of the present invention, the corresponding method includes: firstly, acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchasing and using process of a power generation enterprise; secondly, obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of the power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise; and finally, monitoring the carbon emission of the power industry according to the greenhouse gas emission of power generation enterprises and the greenhouse gas emission of power grid enterprises. The invention combines the carbon emission detection and the digital twinning technology in the power industry, realizes the parallel simulation of the carbon emission data of the power link on a virtual digital platform, performs the test and the measurement through the interaction of real and virtual information flows, and finally realizes the digital combination of the carbon emission, the visualization, the accurate calculation and the good management.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to these drawings without creative efforts.
FIG. 1 is a schematic flow diagram of a digital twin-based power industry carbon emission monitoring method provided in an embodiment of the invention;
FIG. 2 is a flow chart of the steps 100 of the digital twin-based electric power industry carbon emission monitoring method in an embodiment of the invention;
FIG. 3 is a flow chart of a step 101 of a digital twin-based electric power industry carbon emission monitoring method in an embodiment of the invention;
FIG. 4 is a flowchart illustrating a step 1011 of a digital twin-based electric power industry carbon emission monitoring method according to an embodiment of the present invention;
FIG. 5 is a flow chart of steps 200 of a digital twin-based electric power industry carbon emission monitoring method in an embodiment of the invention;
FIG. 6 is a diagram of a digital twin-based electric power industry carbon emission monitoring and evaluation system according to an exemplary embodiment of the present invention;
FIG. 7 is a schematic structural diagram of a digital twin-based power industry carbon emission monitoring device in an embodiment of the invention;
fig. 8 is a schematic structural diagram of the power generation emission amount determination module 10 in the embodiment of the invention;
fig. 9 is a schematic structural view of a combustion discharge amount determining unit 10a in the embodiment of the invention;
fig. 10 is a schematic structural view of an emission factor acquisition unit 10a1 in the embodiment of the present invention;
fig. 11 is a schematic structural diagram of the grid emission determination module 20 according to the embodiment of the present invention;
fig. 12 is a schematic structural diagram of an electronic device in an embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
It should be noted that the terms "comprises" and "comprising," and any variations thereof, in the description and claims of this application and the above-described drawings, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be noted that, in the present application, the embodiments and features of the embodiments may be combined with each other without conflict. The present application will be described in detail below with reference to the embodiments with reference to the attached drawings.
The embodiment of the invention provides a specific implementation manner of a power industry carbon emission monitoring method based on digital twins, and referring to fig. 1, the method specifically comprises the following steps:
step 100: and acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a process of purchasing and using electric power of a power generation enterprise.
Specifically, the total emissions of the power generation enterprises include carbon dioxide emissions during the combustion of fuels, carbon dioxide emissions during the desulfurization of coal-fired power generation enterprises, and carbon dioxide emissions generated by the enterprises purchasing electricity.
Specifically, for carbon dioxide emission in the process of generating power by combusting biomass mixed fuel, only carbon dioxide emission of fossil fuel (such as coal) in the mixed fuel is counted, and for carbon dioxide emission caused in the process of generating power by incinerating garbage, only carbon dioxide emission of fossil fuel (such as coal) used in the process of generating power is counted.
Step 200: the method comprises the steps of obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise.
Specifically, the greenhouse gas emission of the power grid enterprise refers to sulfur hexafluoride emission generated in the process of using sulfur hexafluoride equipment to overhaul and retire and carbon dioxide emission generated in the power production link corresponding to the power transmission and distribution loss, and the specific calculation formula is as follows:
wherein E is the total amount of greenhouse gas emission, tCO2-e；
The sulfur hexafluoride discharge amount, tCO, generated in the process of using the sulfur hexafluoride equipment to overhaul and decommission2-e；ELoss of networkTotal carbon dioxide emission, tCO, due to power distribution losses2-e。
Greenhouse gases, also known as greenhouse effect gases, contain both gases inherent in nature and unnatural gases synthesized by anthropology. A central feature of greenhouse gases is their ability to efficiently absorb solar wavelength radiation. In general, there are about 30 kinds of greenhouse gases having such characteristics, and carbon dioxide, methane, carbon monoxide, and the like are the main greenhouse gases which are easy to contact and understand in daily life. According to the amount of greenhouse gases generated by human activities and the influence of different greenhouse gases on warming of the climate, six types of greenhouse gases requiring the attention of all human beings and strictly controlling the emission thereof are proposed in the kyoto protocol: carbon dioxide, methane, nitrous oxide, hydrofluorocarbons, perfluorocarbons, sulfur hexafluoride.
Sulfur hexafluoride is an artificially synthesized substance, has quite stable chemical properties, and has wide application in electrical equipment due to good insulation and arc extinction. However, the influence of the method on global warming is very large, and the method has the following two reasons:
first, the global warming potential value of sulfur hexafluoride. Global warming potential refers to the quality of the greenhouse effect produced by different greenhouse gases relative to the same effect of carbon dioxide within a defined 100-year time frame, which index sets the GWP of carbon dioxide as a relative measure 1, while the GWPs of the other five greenhouse gases are: methane 21, nitrous oxide 310, hydrofluorocarbons 140 to 11700, perfluorocarbons 6500 to 9200, and sulphur hexafluoride have a GWP which is surprising 23900, i.e. sulphur hexafluoride has a climate warming power 23900 times that of carbon dioxide.
Secondly, the sulfur hexafluoride is not easy to decompose, the life cycle in the atmosphere is quite long, and the greenhouse effect is huge due to long-term accumulation. Since sulfur hexafluoride is a synthetic gas and has a relatively stable chemical property, it is very difficult to react with other substances after being discharged into the air. Although it can undergo slow photolysis and sedimentation in the atmosphere in the stratosphere and above for an excessively long lifetime of 3200 years, it will accumulate in the atmosphere continuously, thereby causing the greenhouse effect of sulfur hexafluoride to increase continuously for a relatively long time.
Step 300: and monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
Specifically, based on the greenhouse gas emission amount of the power generation enterprise and the greenhouse gas emission amount of the power grid enterprise respectively obtained in the steps 100 and 200, a carbon map model is established by utilizing three-dimensional visualization, the capacities of tracking emission factors, emission reduction dynamic simulation deduction, emission alarm detection analysis and the like are established, and meanwhile, relevant big data such as enterprise data, load data and the like can be fused, so that a clear carbon emission monitoring, control and analysis system is established.
As can be seen from the above description, the method for monitoring carbon emission in the power industry based on the digital twin according to the embodiment of the present invention first obtains the carbon dioxide emission generated by the fuel combustion process, the desulfurization process, and the process of purchasing and using power of the power generation enterprise; secondly, obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of the power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise; and finally, monitoring the carbon emission of the power industry according to the greenhouse gas emission of power generation enterprises and the greenhouse gas emission of power grid enterprises. The invention combines the carbon emission detection and the digital twinning technology in the power industry, realizes the parallel simulation of the carbon emission data of the power ring section on the virtual digital platform, and carries out the test and the measurement and calculation through the interaction of the real and the virtual information flow, and finally realizes the digital combination of the carbon emission, the visualization, the accurate calculation and the good management.
In one embodiment, referring to fig. 2, step 100 comprises:
step 101: determining the amount of carbon dioxide emissions generated by the fuel combustion process based on the activity level parameter for each of the electrical fuels and the carbon dioxide emission factor;
step 102: and determining the carbon dioxide emission amount generated in the desulfurization process according to the carbonate consumption amount in each desulfurizing agent and the emission factor of each desulfurizing agent.
It can be understood that, for a power generation enterprise with a coal-fired unit, the carbon dioxide emission of the desulfurization process should be considered in the process of calculating the emission of greenhouse gases, specifically, the carbon dioxide emission is calculated by the consumption of carbonate and the emission factor, and is calculated according to the following formula:
in the formula, EDesulphurisationFor carbon dioxide emissions of the desulfurization process, tCO2；CALkIs the carbonate consumption in the kth desulfurizing agent, t; EFkIs the emission factor of carbonate in the kth desulfurizing agent, tCO2T; k is a type of desulfurizing agent.
Step 103: and calculating the carbon dioxide emission generated in the process of purchasing the electric power according to the amount of the purchased electric power.
In one embodiment, referring to fig. 3, step 101 further comprises:
step 1011: acquiring activity level parameters and corresponding carbon dioxide emission factors of each electric fuel;
step 1012: calculating the carbon dioxide emission generated in the combustion process of each electric fuel according to the activity level parameter of each electric fuel and the corresponding carbon dioxide emission factor;
specifically, see the following equation:
in the formula, EBurning ofEmission of carbon dioxide, tCO, for combustion of consumed fuel2-e；ADiAn activity level parameter for the i-th fuel consumed, GJ; EFiIs the carbon dioxide emission factor, tCO, of the ith fuel2-e/GJ; i is the fuel type code.
Step 1013: determining the amount of carbon dioxide emissions generated by the fuel combustion process based on the amount of carbon dioxide emissions generated by each of the electrical fuel combustion processes.
Specifically, the carbon dioxide emission generated in the combustion process of various electric power fuels is cumulatively summed to determine the carbon dioxide emission generated in the combustion process of the power generation enterprise fuel.
In one embodiment, referring to fig. 4, step 1011 includes:
step 10111: determining the activity level parameter according to the average lower heating value and the net consumption of each power fuel;
in particular, the activity level parameter AD for the ith fueliCalculating according to the following formula;
ADi＝NCVi×FCi
in the formula, NCViThe average lower calorific value of the ith fuel is GJ/t for solid or liquid fuel; for gas fuel, the unit is GJ/104m3；FCiNet consumption of the ith fuel in t for solid or liquid fuels and 10 for liquid fuels4m3。
It should be noted that the data of the fuel combustion activity level of each type is determined according to the energy consumption ledger or statistical statement of the enterprise, which is equal to the data flowing into the enterprise boundary and specifically sent to various combustion devices as the part of fuel combustion, and does not include the part of fuel combustion where the byproduct or combustible waste gas generated in the industrial production process is recovered.
Step 10112: and determining the carbon dioxide emission factor according to the carbon content per unit heating value and the carbon oxidation rate of each electric fuel.
The carbon dioxide emission factor of the fuel is calculated as:
in the formula, CCiIs the carbon content per calorific value of the ith fuel, tC/GJ; OFiThe carbon oxidation rate of the i-th fuel is expressed in%.
In one embodiment, referring to fig. 5, step 200 comprises:
step 201: determining the sulfur hexafluoride emission generated in the using process of the sulfur hexafluoride equipment according to the sulfur hexafluoride emission generated in the overhaul process and the retirement process of the sulfur hexafluoride equipment;
the emission of sulfur hexafluoride equipment used in power grid enterprises in the repair and decommissioning process is calculated according to the following formula:
in the formula (I), the compound is shown in the specification,
for emissions generated during the overhaul and decommissioning of sulfur hexafluoride plants, tCO2-e；RECCapacity, iSulfur hexafluoride container for decommissioned equipment iAmount, expressed in nameplate data, kg; RECRecovery of iThe actual recovery amount of sulfur hexafluoride of the decommissioned equipment i is kg; REPCapacity, jThe sulfur hexafluoride capacity of the overhaul equipment j is expressed by nameplate data in kg; REPRecovery of jKg is the actual recovery amount of sulfur hexafluoride of the overhaul equipment j;
is the global warming potential of sulfur hexafluoride, and has a value of 23900.
Step 202: and determining the carbon dioxide emission generated in the power distribution loss process according to the power transmission and distribution loss and the annual average power supply emission factor of the regional power grid.
Specifically, the carbon dioxide emission of the power grid enterprise is mainly from greenhouse gas emission generated due to power consumption on the power transmission and distribution line, and the consumption is calculated by the power supply amount and the power selling amount and is measured by megawatt hours.
The carbon emission generated by the power transmission and distribution electric quantity loss of the power grid enterprise is calculated according to the following formula:
Eloss of network＝ADLoss of network×EFElectric network
In the formula, ELoss of networkFor carbon dioxide emissions, tCO, due to power transmission and distribution losses2-e；ADLoss of networkThe electric quantity is power consumption, MW x h; EFElectric networkAnnual average power supply emission factor, tCO, for regional power grids2-e/(MW×h)。
In one embodiment, the digital twin-based power industry carbon emission monitoring method further comprises:
step 400: and determining the power transmission and distribution loss electric quantity according to the power supply quantity and the power selling quantity of the power grid enterprise.
Specifically, the electric power consumption of the transmission and distribution power is calculated according to the following formula:
ADloss of network＝ELSupplying power-ELSelling electricity
In the above formula, ADLoss of networkThe electric quantity is the electric quantity of power transmission and distribution loss, MW multiplied by h; el (electro luminescence)Supplying powerFor power supply, MW × h; el (electro luminescence)Electricity selling deviceFor selling electricity, i.e. end user electricity, MW × h.
Further, the amount of power supply is calculated as follows:
ELsupplying power＝ELInternet access+ELInput device-ELOutput of
In the formula, ELInternet accessThe power supply online quantity of the power plant in the area is MW multiplied by h; el (electro luminescence)Input deviceInputting electric quantity from an external area, MW x h; el (electro luminescence)Output ofTo deliver power to the outer zone, MW × h.
The regional power dissipation factor is calculated as follows:
in the formula, EFgrid,iAverage CO for regional grid i2Emission factor, kgCO2/(KW×h)；Emgrid,iCarbon dioxide emissions, tCO, generated for power generation in the geographical area covered by the regional grid i2；EFgrid,jAverage carbon dioxide emission factor, kgCO, of a regional grid j for net delivery of electricity to a regional grid i2/(KW×h)；Eimp,j,iThe electric quantity, MW x h, is sent out to the regional power grid j; EFkAverage carbon dioxide emission factor, kgCO, for k-region generation of net export electricity to regional grid i2/(KW×h)；Eimp,k,iThe electric quantity from the k region (outer region) to the net export of the regional power grid i is MW multiplied by h; egrid,iThe total annual power generation within the geographic range covered by the regional power grid i is MW multiplied by h; i is a region code; j is other regional power grids which net send out electric quantity to the regional power grid i; and k is other areas for net outlet electric quantity to the regional power grid i.
To further illustrate the present solution, the present invention also provides a specific application example of the power industry carbon emission monitoring method based on the digital twin, see fig. 6, which specifically includes the following contents.
In an embodiment, a digital twin-based power industry carbon emission monitoring and evaluating system is further provided, which specifically includes: a physical layer, a data layer, a platform layer, and an application layer.
In the physical layer, the method mainly comprises the following steps: the system comprises a line, thermal power equipment, photovoltaic equipment, wind power equipment and coincidence equipment. Further, the method is formulated according to business management needs and twin model application characteristics of all stages of the full life cycle of the electric power, business management and carbon emission calculation needs are met, each constructed business and attribute information are represented by numbers, and the attribute information comprises the following steps: power generation enterprises and power grid enterprises.
The greenhouse gas emission calculation formula of the power generation enterprise is as follows:
E＝Eburning of+EDesulfurization of+EElectric power
Wherein E is the total carbon dioxide emission, tCO2；EBurning ofEmission of carbon dioxide, tCO, for combustion of fuel2；EDesulfurization ofEmission of carbon dioxide, tCO, for the desulfurization process2；EElectricityTo purchase carbon dioxide emissions using electricity generation, tCO2. Wherein the greenhouse gases E are produced by combustion of the fuelBurning ofThe greenhouse gases generated after the combustion of various fuels including the accounting main body are the sum of the emission amount of the greenhouse gases after the combustion.
In the process of calculating the carbon dioxide emission factor of the fuel, a conditional enterprise can detect the carbon content of the fuel periodically by self or entrusted with qualified professional organizations, also can detect the low-order heating value of the fuel periodically for common commercial fuels, and then calculates the carbon content of the fuel according to a formula. For gas fuels such as natural gas, the gas components can be detected at least once every batch of fuel or every half year, and then the carbon content is calculated according to the volume fraction of each gas component and the number of carbon atoms in the chemical formula of the component:
in the formula, CCjThe carbon content of the gas j to be measured, tC/104m3；
For each gas to be measuredThe volume fraction of the bulk component n ranges from 0 to 1, for example, the volume fraction of 95% is 0.95; CNnThe number of carbon atoms in the chemical molecule formula for the gas component n; 12 is the molar mass of carbon, kg/kmol;22.4 is the ideal gas molar volume in standard conditions, m3/kmol。
Enterprises which do not measure the carbon content of the fuel under the condition can monitor the low-order heating value of the fuel regularly and calculate the carbon content of the fuel according to the following formula:
CCj＝NCVj×EFj
in the formula, CCjThe carbon content of the fossil fuel variety j is as follows, and the unit is tC/t for solid and liquid fuels; for gaseous fuels, the unit is tC/104m3；NCVjThe fuel is the low-order heating value of fossil fuel variety j, and the unit is GJ/t for solid and liquid fuels; for gas fuel, the unit is GJ/104m3；EFjThe carbon content of the unit heat value of the fossil fuel variety j, tC/GJ.
The carbon oxidation rate of the coal-fired boiler of the power generation enterprise is calculated according to ash data, and the calculation formula is as follows:
OF in the formulaCoal (coal)The carbon oxidation rate of coal, expressed in%; gSlagThe annual slag yield, t; cSlagIs the average carbon content of the slag, expressed in%; gAshFly ash yield for the whole year, t; cAshIs the carbon content of the fly ash, expressed in%; etaDust removalThe average dust removal efficiency of the dust removal system is expressed in%; FCCoal (coal)Is the consumption of the coal, t; NCVCoal (coal)The average low calorific value of the fire coal, GJ/t; CC (challenge collapsar)Coal (coal)And is the carbon content of the coal unit calorific value, tC/GJ.
And when the relevant data of ash and slag cannot be obtained, adopting an accounting standard recommended value, and uniformly taking the carbon oxidation rate of the coal of the power generation enterprises as 98%.
For a data layer, the acquisition terminal is connected with a sensor or an electric meter through a wireless private network, the attribute information, the real-time information and other parameters related to the power generation enterprises and the power grid enterprises are defined as the coding information of the digital twin model, the coding information is respectively stored in a real-time database, a time sequence database, a relation database or a file database according to the characteristics, and the model information coding information corresponding to the digital twin model and the basic data in the basic database are mapped.
Platform layer: the carbon emission management system of power generation enterprises and power grids takes digital construction as a core, and realizes knowledge, data and business platforms based on a digital twin technology, thereby effectively promoting the intellectualization of emission monitoring. The main functions and roles of the platform layer are:
1. enterprises can realize refined management through the carbon emission management system, can realize partitioned shunt monitoring, and arrange carbon emission optimization measures according to data accumulation and analysis.
2. The key emission equipment is monitored in real time, transverse and longitudinal comparison is continuously carried out, emission analysis reports are generated, optimization measures are continuously taken, cost reduction and efficiency improvement can be achieved, a carbon emission monitoring platform is established by taking a boiler as an example, emission cost can be reduced, and enterprise social responsibility can be practiced.
3. The system realizes predictive maintenance, realizes digital twinning and three-dimensional visualization on the whole power link through the maintenance of recording equipment or lines and the replacement of equipment accessories, can realize full life cycle management, can alarm and wake up in time when having problems, can also realize advanced maintenance notification on part of equipment needing regular replacement at regular time, and can also realize abnormity and fault tracing at the same time.
An application layer: the realization that the transmission of electrical carbon emissions from the supply side production to the grid side becomes quantifiable, controllable and predictable becomes an important strategic platform for carbon emission monitoring systems. By means of real-time monitoring of carbon emission, bidirectional interaction between a power generation enterprise and a power grid end can be achieved, and positioning and traceability of carbon footprints are achieved.
As can be seen from the above description, the method for monitoring carbon emission in the power industry based on digital twinning provided by the embodiment of the present invention first obtains the carbon dioxide emission generated by each of the fuel combustion process, the desulfurization process, and the process of purchasing and using power of the power generation enterprise; secondly, obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of the power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise; and finally, monitoring the carbon emission of the power industry according to the greenhouse gas emission of power generation enterprises and the greenhouse gas emission of power grid enterprises. The invention utilizes the digital twin technology to build a carbon emission monitoring system, and can assist the electric power department to measure, calculate and manage the carbon emission.
Based on the same inventive concept, the embodiment of the present application further provides a digital twin-based power industry carbon emission monitoring device, which can be used to implement the method described in the above embodiment, such as the following embodiments. Because the principle of solving the problems of the power industry carbon emission monitoring device based on the digital twin is similar to that of the power industry carbon emission monitoring method based on the digital twin, the implementation of the power industry carbon emission monitoring device based on the digital twin can be referred to the implementation of the power industry carbon emission monitoring method based on the digital twin, and repeated parts are not described again. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the system described in the embodiments below is preferably implemented in software, implementations in hardware or a combination of software and hardware are also possible and contemplated.
An embodiment of the present invention provides a specific implementation manner of a digital twin-based power industry carbon emission monitoring device capable of implementing a digital twin-based power industry carbon emission monitoring method, and referring to fig. 7, the digital twin-based power industry carbon emission monitoring device specifically includes the following contents:
the power generation emission acquiring module 10 is used for acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchasing and using process of a power generation enterprise;
the power grid emission obtaining module 20 is configured to obtain sulfur hexafluoride emission generated in a using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in a power distribution loss process to determine greenhouse gas emission of the power grid enterprise;
and the emission monitoring module 30 is used for monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
In one embodiment, referring to fig. 8, the power generation emission amount acquisition module 10 includes:
a combustion emission amount determining unit 10a for determining the amount of carbon dioxide emission generated by the fuel combustion process according to the activity level parameter of the electric power fuel and the carbon dioxide emission factor of the electric power fuel;
a desulfurization emission amount determining unit 10b for determining an emission amount of carbon dioxide generated by the desulfurization process based on the consumption amount of carbonate in each desulfurizing agent and the emission factor of each desulfurizing agent;
an electric power emission amount calculating unit 10c for calculating an amount of carbon dioxide emission generated during the purchase use electric power based on the amount of purchase use electric power.
In one embodiment, referring to fig. 9, the combustion emission amount determination unit 10a includes:
an emission factor acquiring unit 10a1 for acquiring an activity level parameter of each electric fuel and a corresponding carbon dioxide emission factor;
a single fuel emission amount calculation unit 10a2 for calculating an amount of carbon dioxide emission generated by the combustion process of each electric power fuel based on the activity level parameter of each electric power fuel and the corresponding carbon dioxide emission factor;
a combustion emission amount determining subunit 10a3 for determining the amount of carbon dioxide emission generated by the fuel combustion process according to the amount of carbon dioxide emission generated by the combustion process of each electric fuel.
In one embodiment, referring to fig. 10, the emission factor acquiring unit 10a1 includes:
a level parameter determination unit 10a11 for determining the activity level parameter from the average lower heating value and the net consumption amount of each of the electric fuels;
an emission factor determination unit 10a12 for determining the carbon dioxide emission factor according to the carbon content per calorific value and the carbon oxidation rate of each electric fuel.
In an embodiment, referring to fig. 11, the grid emission obtaining module 20 includes:
the equipment sulfur hexafluoride determining unit 20a is configured to determine the amount of sulfur hexafluoride discharged in the usage process of the sulfur hexafluoride equipment according to the amount of sulfur hexafluoride discharged in the overhaul process and the retirement process of the sulfur hexafluoride equipment;
and the distribution sulfur hexafluoride determining unit 20b is used for determining the carbon dioxide emission generated in the distribution loss process according to the power transmission and distribution loss electric quantity and the annual average power supply emission factor of the regional power grid.
In one embodiment, the digital twin-based power industry carbon emission monitoring device further comprises:
and the power consumption determining module 40 is configured to determine the power consumption of the power transmission and distribution according to the power supply amount and the power selling amount of the power grid enterprise.
As can be seen from the above description, the device for monitoring carbon emission in the power industry based on digital twin according to the embodiment of the present invention first obtains the carbon dioxide emission generated by each of the fuel combustion process, the desulfurization process, and the process of purchasing and using electric power of the power generation enterprise; secondly, obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of the power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise; and finally, monitoring the carbon emission of the power industry according to the greenhouse gas emission of power generation enterprises and the greenhouse gas emission of power grid enterprises. The invention combines the carbon emission detection and the digital twinning technology in the power industry, realizes the parallel simulation of the carbon-saving emission data of the power ring on the virtual digital platform, and carries out the test and measurement and calculation through the interaction of the real and virtual information flows, and finally realizes the digital combination of the carbon emission, the visualization, the accurate calculation and the good management.
An embodiment of the present application further provides a specific implementation manner of an electronic device, which is capable of implementing all steps in the digital twin-based power industry carbon emission monitoring method in the foregoing embodiment, and referring to fig. 12, the electronic device specifically includes the following contents:
a processor (processor) 1201, a memory (memory) 1202, a communication Interface 1203, and a bus 1204;
the processor 1201, the memory 1202 and the communication interface 1203 complete communication with each other through the bus 1204; the communication interface 1203 is used for implementing information transmission among related devices such as a server-side device, a greenhouse gas measurement device, and a client device.
The processor 1201 is used to call the computer program in the memory 1202, and the processor executes the computer program to realize all the steps in the digital twin-based power industry carbon emission monitoring method in the above-described embodiment, for example, the processor executes the computer program to realize the following steps:
step 100: acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchasing and using process of a power generation enterprise;
step 200: the method comprises the steps of obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise;
step 300: and monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
Embodiments of the present application also provide a computer-readable storage medium capable of implementing all steps in the digital twin-based power industry carbon emission monitoring method in the above embodiments, where the computer-readable storage medium stores thereon a computer program, and the computer program implements all steps of the digital twin-based power industry carbon emission monitoring method in the above embodiments when executed by a processor, for example, the processor implements the following steps when executing the computer program:
step 100: acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchasing and using process of a power generation enterprise;
step 200: the method comprises the steps of obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise;
step 300: and monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
To sum up, the computer-readable storage medium provided by the embodiment of the present invention can support a service provider to perform adaptive offline and online of services according to the availability of its own software and hardware resources, thereby implementing self-isolation capability of the service provider and ensuring the success rate of the service provider in responding to a service request.
All the embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the hardware + program class embodiment, since it is substantially similar to the method embodiment, the description is simple, and reference may be made to the partial description of the method embodiment for relevant points.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
Although the present application provides method steps as in an embodiment or a flowchart, more or fewer steps may be included based on conventional or non-inventive labor. The order of steps recited in the embodiments is merely one manner of performing the steps in a multitude of orders and does not represent the only order of execution. In practice, the apparatus or client products may be implemented in a sequential or parallel manner (e.g., parallel processor or multi-threaded environments) according to the embodiments or methods shown in the drawings.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
The principle and the implementation mode of the invention are explained by applying specific embodiments in the invention, and the description of the embodiments is only used for helping to understand the method and the core idea of the invention; meanwhile, for a person skilled in the art, according to the idea of the present invention, there may be variations in the specific embodiments and the application scope, and in summary, the content of the present specification should not be construed as a limitation to the present invention.
Claims (14)
1. A power industry carbon emission monitoring method based on digital twinning is characterized by comprising the following steps:
acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchase and use process of a power generation enterprise;
obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise;
and monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
2. The electric power industry carbon emission monitoring method of claim 1, wherein the obtaining of carbon dioxide emissions generated by each of a fuel combustion process, a desulfurization process, and a process of purchasing and using electric power of a power generation enterprise comprises:
determining the amount of carbon dioxide emissions generated by the fuel combustion process according to the activity level parameter of the electric fuel and the carbon dioxide emission factor of the electric fuel;
determining the carbon dioxide emission amount generated in the desulfurization process according to the carbonate consumption amount in each desulfurizing agent and the emission factor of each desulfurizing agent;
and calculating the carbon dioxide emission generated in the process of purchasing the electric power according to the amount of the purchased electric power.
3. The electric power industry carbon emission monitoring method of claim 1, wherein the determining the amount of carbon dioxide emissions generated by the fuel combustion process based on the activity level parameter of the electric power fuel and the carbon dioxide emission factor of the electric power fuel comprises:
acquiring activity level parameters and corresponding carbon dioxide emission factors of each electric fuel;
calculating the carbon dioxide emission amount generated in the combustion process of each electric power fuel according to the activity level parameter of each electric power fuel and the corresponding carbon dioxide emission factor;
determining the carbon dioxide emission generated by the fuel combustion process according to the carbon dioxide emission generated by each electric fuel combustion process.
4. The electric power industry carbon emission monitoring method of claim 3, wherein the obtaining activity level parameters and corresponding carbon dioxide emission factors for each electric power fuel comprises:
determining the activity level parameter according to the average lower heating value and the net consumption of each power fuel;
and determining the carbon dioxide emission factor according to the carbon content per unit heating value and the carbon oxidation rate of each electric fuel.
5. The method for monitoring carbon emission in the power industry based on digital twinning as claimed in claim 1, wherein the step of obtaining the emission amount of sulfur hexafluoride generated in the using process of the sulfur hexafluoride equipment of the power grid enterprise comprises the following steps:
determining the sulfur hexafluoride emission generated in the using process of the sulfur hexafluoride equipment according to the sulfur hexafluoride emission generated in the overhaul process and the retirement process of the sulfur hexafluoride equipment;
the determining the greenhouse gas emission of the power grid enterprise according to the carbon dioxide emission generated in the power distribution loss process comprises the following steps:
and determining the carbon dioxide emission generated in the power distribution loss process according to the power transmission and distribution loss and the annual average power supply emission factor of the regional power grid.
6. The digital twin-based power industry carbon emission monitoring method of claim 5, further comprising:
and determining the power transmission and distribution loss electric quantity according to the power supply quantity and the power selling quantity of the power grid enterprise.
7. A power industry carbon emission monitoring device based on digital twinning, comprising:
the power generation emission acquisition module is used for acquiring carbon dioxide emission generated in a fuel combustion process, a desulfurization process and a power purchase and use process of a power generation enterprise;
the system comprises a power grid emission obtaining module, a power grid management module and a power distribution module, wherein the power grid emission obtaining module is used for obtaining sulfur hexafluoride emission generated in the using process of sulfur hexafluoride equipment of a power grid enterprise and carbon dioxide emission generated in the power distribution loss process to determine greenhouse gas emission of the power grid enterprise;
and the emission monitoring module is used for monitoring the carbon emission of the power industry according to the greenhouse gas emission of the power generation enterprises and the greenhouse gas emission of the power grid enterprises.
8. The electric power industry carbon emission monitoring device of claim 7, wherein the power generation emission amount obtaining module comprises:
a combustion emission determining unit for determining the carbon dioxide emission generated in the fuel combustion process according to the activity level parameter of the electric fuel and the carbon dioxide emission factor of the electric fuel;
a desulfurization emission amount determining unit for determining an emission amount of carbon dioxide generated by the desulfurization process according to the consumption amount of carbonate in each desulfurization agent and an emission factor of each desulfurization agent;
and the electric power emission calculating unit is used for calculating the carbon dioxide emission generated in the purchase using electric power process according to the purchase using electric power quantity.
9. The electric power industry carbon emission monitoring apparatus of claim 8, wherein the combustion emission determining unit includes:
the emission factor acquisition unit is used for acquiring the activity level parameter of each electric fuel and the corresponding carbon dioxide emission factor;
a single fuel emission amount calculation unit for calculating the carbon dioxide emission amount generated in the combustion process of each electric fuel according to the activity level parameter of each electric fuel and the corresponding carbon dioxide emission factor;
a combustion emission determination subunit for determining the carbon dioxide emission generated by the fuel combustion process according to the carbon dioxide emission generated by each electric fuel combustion process.
10. The electric power industry carbon emission monitoring device of claim 9, wherein the emission factor obtaining unit includes:
a level parameter determination unit for determining the activity level parameter from the average lower heating value and the net consumption amount of each power fuel;
and the emission factor determination unit is used for determining the carbon dioxide emission factor according to the carbon content per unit heating value and the carbon oxidation rate of each electric fuel.
11. The digital twin-based power industry carbon emission monitoring device of claim 7, wherein the grid emission obtaining module comprises:
the equipment sulfur hexafluoride determining unit is used for determining the sulfur hexafluoride emission generated in the using process of the sulfur hexafluoride equipment according to the sulfur hexafluoride emission generated in the overhaul process and the retirement process of the sulfur hexafluoride equipment;
and the distribution sulfur hexafluoride determining unit is used for determining the carbon dioxide emission generated in the distribution loss process according to the power transmission and distribution loss electric quantity and the annual average power supply emission factor of the regional power grid.
12. The digital twin-based power industry carbon emission monitoring device of claim 11, further comprising:
and the power consumption and distribution loss and power consumption determining module is used for determining the power transmission and distribution loss and power consumption according to the power supply quantity and the power selling quantity of the power grid enterprise.
13. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor when executing the program performs the steps of the digital twinning based power industry carbon emission monitoring method of any of claims 1 to 6.
14. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the digital twin-based power industry carbon emission monitoring method according to any one of claims 1 to 6.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117575635A (en) * | 2024-01-16 | 2024-02-20 | 四川绿豆芽信息技术有限公司 | Carbon index tracing method and system |
| CN118014221A (en) * | 2024-04-08 | 2024-05-10 | 国网吉林省电力有限公司经济技术研究院 | Data-driven-based power grid side carbon emission global sensitivity analysis method |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117575635A (en) * | 2024-01-16 | 2024-02-20 | 四川绿豆芽信息技术有限公司 | Carbon index tracing method and system |
| CN117575635B (en) * | 2024-01-16 | 2024-03-29 | 四川绿豆芽信息技术有限公司 | Carbon index tracing method and system |
| CN118014221A (en) * | 2024-04-08 | 2024-05-10 | 国网吉林省电力有限公司经济技术研究院 | Data-driven-based power grid side carbon emission global sensitivity analysis method |
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