CN-122024899-A - Accounting method and device for carbon dioxide emission of coal-fired boiler

CN122024899ACN 122024899 ACN122024899 ACN 122024899ACN-122024899-A

Abstract

The application discloses a method and a device for accounting carbon dioxide emission of a coal-fired boiler. The method comprises the steps of obtaining a current operation monitoring parameter set corresponding to target coal fired, judging whether abnormal data exist in the operation monitoring parameters, determining a coal quality analysis result corresponding to the target coal fired based on a plurality of preset formulas and the operation monitoring parameters if abnormal data do not exist, determining carbon dioxide emission corresponding to a target coal fired boiler according to the coal quality analysis result, and determining carbon dioxide emission corresponding to the target coal fired boiler based on an emission accounting model and the operation monitoring parameters if abnormal data do not exist.

Inventors

JIANG LONG
MOU XIAOZHE
XU YANG
DU LEI
SONG YUNCHANG
LI YUANYUAN
YANG XUETING
LI JINJING

Assignees

华北电力科学研究院有限责任公司
国家电网有限公司

Dates

Publication Date: 20260512
Application Date: 20251231

Claims (10)

1. A method for accounting for carbon dioxide emissions from a coal-fired boiler, the method comprising: Acquiring a current operation monitoring parameter set corresponding to a target coal fired furnace, wherein the current operation monitoring parameter set comprises a plurality of operation monitoring parameters; judging whether abnormal data exist in a plurality of operation monitoring parameters; If the coal is not present, determining a coal quality analysis result corresponding to the target coal fired based on a plurality of preset formulas and a plurality of operation monitoring parameters, and determining the carbon dioxide emission corresponding to the target coal fired boiler according to the coal quality analysis result; And if the carbon dioxide emission amount exists, determining the carbon dioxide emission amount corresponding to the target coal-fired boiler based on the emission amount accounting model and a plurality of operation monitoring parameters.
2. The method of claim 1, wherein the plurality of operation monitoring parameters include a nominal state flue gas amount, a coal amount, a boiler outlet flue gas volume moisture content, an excess air factor, a SO 2 concentration in a boiler outlet flue gas, a CO concentration in a boiler outlet flue gas, a NO concentration in a boiler outlet flue gas, an oxygen content in a boiler outlet flue gas, and a particulate matter concentration in a boiler outlet flue gas corresponding to the target in-furnace coal, wherein the determining a coal quality analysis result corresponding to the target in-furnace coal based on the plurality of preset formulas and the plurality of operation monitoring parameters comprises: Acquiring a constant item set corresponding to the target fired coal, wherein the constant item set comprises a coefficient for converting sulfur in the coal into SO 2 and a total ash ratio of fly ash; substituting the standard flue gas amount, the coal amount, the coefficient of converting sulfur in the coal into SO 2 and the SO 2 concentration in the boiler outlet flue gas into a first preset formula to calculate the received base sulfur content corresponding to the target fired coal; substituting the ash total amount ratio of the fly ash, the standard state smoke amount, the coal amount and the particulate matter concentration in the boiler outlet flue gas into a second preset formula to calculate the received base ash content corresponding to the target fired coal; Substituting the standard flue gas amount, the coal amount, the volume moisture content of the boiler outlet flue gas, the excess air coefficient, the SO 2 concentration in the boiler outlet flue gas, the CO concentration in the boiler outlet flue gas, the NO concentration in the boiler outlet flue gas, the oxygen content in the boiler outlet flue gas, the received base sulfur content and the received base ash content into a preset positive equation set to calculate the received base carbon content, the received base hydrogen content, the received base oxygen content, the received base nitrogen content and the received base moisture content corresponding to the target fired coal; and determining the received base sulfur content, the received base ash content, the received base carbon content, the received base hydrogen content, the received base oxygen content, the received base nitrogen content and the received base water content corresponding to the target coal fed into the furnace as the coal quality analysis result.
3. The method of claim 2, wherein determining the carbon dioxide emissions corresponding to the target coal-fired boiler based on the coal quality analysis result comprises: Calculating carbon dioxide emission factors and activity data corresponding to the target fired coal according to the received base sulfur content, the received base ash content, the received base carbon content, the received base hydrogen content, the received base oxygen content and the received base water content; and calculating the carbon dioxide emission corresponding to the target coal-fired boiler according to the carbon dioxide emission factor and the activity data corresponding to the target coal-fired boiler.
4. The method of claim 3, wherein the plurality of operational monitoring parameters further comprises dust removal efficiency, slag carbon content, and fly ash carbon content, and wherein said calculating carbon dioxide emissions factor and activity data corresponding to the target fired coal based on the received base sulfur content, the received base ash content, the received base carbon content, the received base hydrogen content, the received base oxygen content, and the received base moisture content comprises: Substituting the received base sulfur content, the received base ash content, the received base carbon content, the received base hydrogen content, the received base oxygen content and the received base moisture content into a third preset formula to calculate the low-level heating value corresponding to the target fired coal; Substituting the standard state smoke quantity, the particulate matter concentration in the boiler outlet smoke and the ash total amount ratio of the fly ash into a fourth preset formula to calculate the slag yield and the fly ash yield corresponding to the target fired coal; substituting the slag yield, the fly ash yield, the slag carbon content, the fly ash carbon content, the dust removal efficiency, the coal amount, the received base carbon content and the low-level heating value into a fifth preset formula to calculate a carbon dioxide emission factor corresponding to the target fired coal; substituting the low-order heating value and the coal burning amount into a sixth preset formula to calculate activity data corresponding to the target coal burning.
5. The method of claim 1, wherein the plurality of operational monitoring parameters include a nominal flue gas amount, a coal amount, a boiler outlet flue gas volumetric moisture content, an excess air factor, a SO 2 concentration in a boiler outlet flue gas, a CO concentration in a boiler outlet flue gas, a NO concentration in a boiler outlet flue gas, an oxygen content in a boiler outlet flue gas, a particulate concentration in a boiler outlet flue gas, a dust removal efficiency, a slag carbon content, and a fly ash carbon content corresponding to the target coal-fired boiler, and wherein determining the carbon dioxide emissions corresponding to the target coal-fired boiler based on the emissions accounting model and the plurality of operational monitoring parameters comprises: Removing abnormal data in the operation monitoring parameters; Inputting the operation monitoring parameters subjected to the elimination treatment into an emission accounting model to determine the carbon dioxide emission corresponding to the target coal-fired boiler; The emission accounting model is used for determining received base sulfur content, received base ash content, received base carbon content, received base hydrogen content, received base oxygen content and received base moisture content corresponding to the target fired coal according to a plurality of operation monitoring parameters after the elimination treatment, determining carbon dioxide emission factors and activity data corresponding to the target fired coal according to the received base sulfur content, the received base ash content, the received base carbon content, the received base hydrogen content, the received base oxygen content, the received base moisture content and a plurality of operation monitoring parameters after the elimination treatment, and determining carbon dioxide emission factors and activity data corresponding to the target fired coal according to the carbon dioxide emission factors and activity data corresponding to the target fired coal.
6. The method of claim 5, wherein the method further comprises: Obtaining a training sample set, wherein the training sample set comprises a plurality of training samples, and the training samples comprise a sample operation monitoring parameter set corresponding to sample coal, a sample received basal sulfur content, a sample received basal ash content, a sample received basal carbon content, a sample received basal hydrogen content, a sample received basal oxygen content, a sample received basal water content, a sample carbon dioxide emission factor, sample activity data and a sample carbon dioxide emission amount; performing iterative training on the deep learning model based on the training sample set, wherein, In each training round, judging whether the loss function of the deep learning model is converged or not; if the loss function converges, determining the deep learning model obtained after the round of training as the emission accounting model; And if the loss function is not converged, carrying out optimization adjustment on the model parameters of the deep learning model according to the loss function, and entering the next training round based on the optimized and adjusted deep learning model.
7. An accounting apparatus for carbon dioxide emissions from a coal-fired boiler, the apparatus comprising: The system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring a current operation monitoring parameter set corresponding to a target coal fired furnace, and the current operation monitoring parameter set comprises a plurality of operation monitoring parameters; the judging unit is used for judging whether abnormal data exist in the operation monitoring parameters; the first determining unit is used for determining a coal quality analysis result corresponding to the target coal fired boiler based on a plurality of preset formulas and a plurality of operation monitoring parameters when the abnormal data do not exist in the operation monitoring parameters, and determining the carbon dioxide emission corresponding to the target coal fired boiler according to the coal quality analysis result; And a second determining unit configured to determine, when it is determined that abnormal data exists in the plurality of operation monitoring parameters, an amount of carbon dioxide emissions corresponding to the target coal-fired boiler based on an emission amount accounting model and the plurality of operation monitoring parameters.
8. A computer device comprising a memory, a processor and a computer program stored on the memory, characterized in that the processor executes the computer program to carry out the steps of the method according to any one of claims 1 to 6.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 6.

Description

Accounting method and device for carbon dioxide emission of coal-fired boiler Technical Field The application relates to the technical field of carbon emission accounting, in particular to a method and a device for accounting carbon dioxide emission of a coal-fired boiler. Background Along with the adjustment of energy structures and the proposal of carbon emission reduction targets, the monitoring and accounting of the carbon dioxide emission of coal-fired power plants gradually become the research focus in the power industry and the environmental protection field. The existing accounting methods are mainly divided into two types, namely an emission factor method and a material balance algorithm. The emission factor method is used for obtaining the carbon dioxide emission through calculation by multiplying the fuel consumption by a preset emission factor, is simple and convenient to operate and low in cost, and can construct an evidence chain through multi-source data cross verification, but the uncertainty is large due to the fact that the statistical data and the preset emission factor are relied on, so that the accuracy of the accounting result is low. The material balance algorithm is based on conservation of carbon elements, the accuracy is higher than that of an emission factor method, the concentration and the flow rate of the flue gas are monitored in real time through an infrared technology, emission fluctuation can be dynamically captured, artificial interference is reduced, the data fitness is verified to be higher through test points, but the accounting method is limited by factors such as uneven flow field of a flue, the flow rate measurement accuracy and the like, and therefore the accuracy of an accounting result is lower. Disclosure of Invention The embodiment of the application provides a method and a device for accounting carbon dioxide emission of a coal-fired boiler, which mainly aim to improve the accuracy of accounting the carbon dioxide emission of the coal-fired boiler in the running process of the coal-fired boiler. In order to solve the technical problems, the embodiment of the application provides the following technical scheme: in a first aspect, the present application provides a method for accounting for carbon dioxide emissions from a coal-fired boiler, the method comprising: Acquiring a current operation monitoring parameter set corresponding to a target coal fired furnace, wherein the current operation monitoring parameter set comprises a plurality of operation monitoring parameters; judging whether abnormal data exist in a plurality of operation monitoring parameters; If the coal is not present, determining a coal quality analysis result corresponding to the target coal fired based on a plurality of preset formulas and a plurality of operation monitoring parameters, and determining the carbon dioxide emission corresponding to the target coal fired boiler according to the coal quality analysis result; And if the carbon dioxide emission amount exists, determining the carbon dioxide emission amount corresponding to the target coal-fired boiler based on the emission amount accounting model and a plurality of operation monitoring parameters. In a second aspect, the present application also provides an accounting apparatus for carbon dioxide emissions from a coal-fired boiler, the apparatus comprising: The system comprises an acquisition unit, a control unit and a control unit, wherein the acquisition unit is used for acquiring a current operation monitoring parameter set corresponding to a target coal fired furnace, and the current operation monitoring parameter set comprises a plurality of operation monitoring parameters; the judging unit is used for judging whether abnormal data exist in the operation monitoring parameters; the first determining unit is used for determining a coal quality analysis result corresponding to the target coal fired boiler based on a plurality of preset formulas and a plurality of operation monitoring parameters when the abnormal data do not exist in the operation monitoring parameters, and determining the carbon dioxide emission corresponding to the target coal fired boiler according to the coal quality analysis result; And a second determining unit configured to determine, when it is determined that abnormal data exists in the plurality of operation monitoring parameters, an amount of carbon dioxide emissions corresponding to the target coal-fired boiler based on an emission amount accounting model and the plurality of operation monitoring parameters. In a third aspect, embodiments of the present application provide a computer device comprising a memory, a processor and a computer program stored on the memory, the processor executing the computer program to carry out the steps of the method of the first aspect. In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored thereon a computer pro