CN-122022121-A - Coal gas data management and dynamic distribution method and system for process-level carbon emission accounting in steel industry

CN122022121ACN 122022121 ACN122022121 ACN 122022121ACN-122022121-A

Abstract

The invention relates to a method and a system for managing and dynamically distributing gas data for process-level carbon emission accounting in the steel industry, comprising the following steps of collecting flow and component parameters of gas in a gas channel corresponding to a blast furnace, a coke oven and a converter; the method comprises the steps of carrying out real-time data quality control processing and statistical calculation processing on collected data, screening to obtain effective data, calculating low-order heating value and unit heat value carbon content of coal gas based on the effective data, carrying out uncertainty analysis, constructing a mixed coal gas carbon emission distribution model based on a mass energy conservation equation, solving the duty ratio of each source coal gas in the mixed coal gas based on the low-order heating value and the unit heat value carbon content, verifying and correcting distribution results in combination with the results of uncertainty analysis, and completing splitting and distribution of carbon emission. Compared with the prior art, the method has the advantages of improving the reliability of the quality of the carbon data, reducing the labor cost and efficiency loss, tracing the data and the like.

Inventors

WANG BAOYI
Qu Yanrong
CHENG CHANGJIE
ZHANG MINGMING
XU SHAOBING

Assignees

欧冶云商股份有限公司

Dates

Publication Date: 20260512
Application Date: 20251223

Claims (10)

1. The coal gas data management and dynamic distribution method for process-level carbon emission accounting in the steel industry is characterized by comprising the following steps of: collecting flow and component parameters of gas in gas channels corresponding to a blast furnace, a coke oven and a converter; performing real-time data quality control processing and statistical calculation processing on the acquired data, and screening to obtain effective data; calculating the low-order heating value and the carbon content of the unit heating value of the coal gas based on the effective data, and performing uncertainty analysis; and constructing a mixed gas carbon emission distribution model based on a mass energy conservation equation, solving the ratio of each source gas in the mixed gas based on the low-order heating value and the carbon content of the unit heating value, and verifying and correcting a distribution result by combining an uncertainty analysis result to finish the splitting and distribution of carbon emission.
2. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in the steel industry according to claim 1, wherein the flow and composition parameters are obtained based on an on-line monitoring instrument deployed at a channel of a gas generation key node.
3. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in steel industry according to claim 1, wherein the real-time data quality control processing comprises flow threshold verification, component concentration threshold verification and jump verification.
4. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in steel industry according to claim 1, wherein the statistical calculation comprises dynamic confidence interval calculation, and boundary values are adopted to replace follow-up calculation when real-time data exceeds an interval.
5. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in steel industry according to claim 4, wherein the calculation of the dynamic confidence interval is specifically as follows: And calculating the mean value and standard deviation of the key parameters based on the historical data in the set time, and generating a dynamic confidence interval.
6. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in the steel industry according to claim 1, wherein the low-level heating value calculation mode is as follows: , Wherein, the The volume percentage of each component is calculated, Is the low-order heating value coefficient of the corresponding component.
7. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in the steel industry according to claim 1, wherein the unit heat value carbon content calculation mode is as follows: , Wherein, the The volume percentage of each component is calculated, In order to obtain the molar mass of the components, The low-position heating value of the gas is obtained.
8. The method for managing and dynamically distributing gas data for process-level carbon emission accounting in the steel industry according to claim 1, wherein the uncertainty analysis is realized by adopting Monte Carlo simulation.
9. The method for managing and dynamically distributing gas data and h for process-level carbon emission accounting in the steel industry according to claim 1, wherein when the mixed gas contains three or more sources, the built split model is an overdetermined equation set, and a least square method is adopted for carrying out best fit solution.
10. The utility model provides a coal gas data management and dynamic distribution system of iron and steel trade process level carbon emission accounting which characterized in that includes: The gas channel online data acquisition module is used for acquiring flow and component parameters of gas in the gas channels corresponding to the blast furnace, the coke oven and the converter; the data processing module is used for carrying out real-time data quality control processing and statistical calculation processing on the acquired data, screening and obtaining effective data, calculating the low-order heating value and the carbon content of the unit heating value of the coal gas based on the effective data, and carrying out uncertainty analysis; The model construction and solving module is used for constructing a mixed gas carbon emission distribution model based on a mass energy conservation equation, solving the ratio of each source gas in the mixed gas based on the low-level heating value and the unit heating value carbon content, verifying and correcting the distribution result by combining the uncertainty analysis result to obtain carbon emission splitting data, and completing splitting and distribution of carbon emission; And the process-level calculation application module is used for converting the carbon emission resolution data obtained by the model construction and solving module into process-level carbon emission calculation results.

Description

Coal gas data management and dynamic distribution method and system for process-level carbon emission accounting in steel industry Technical Field The invention relates to the technical field of carbon emission in the steel industry, in particular to a method and a system for managing and dynamically distributing coal gas data for process-level carbon emission accounting in the steel industry. Background According to the requirement of carbon emission data accuracy of the carbon peak carbon neutralization target, the carbon emission accounting in the steel industry is developing towards the process level and the datum line. Blast Furnace Gas (BFG), coke Oven Gas (COG) and converter gas (LDG) are used as main secondary energy sources flowing among working procedures, and accurate carbon footprint distribution is a precondition for realizing accurate working procedure level accounting and is also a technical difficulty faced by the current industry. The prior art generally employs a fixed factor method, i.e., calculation using industry average or default emission factors, and a periodic manual detection method. The method has the problem that the actual fluctuation of the gas composition and the heat value of the enterprise cannot be reflected, so that systematic deviation exists between the accounting result and the actual emission. Whereas periodic manual detection algorithms rely on periodic (e.g., monthly) manual sampling and offline analysis data representing the entire accounting period. The method has the problems that the data density is low, the timeliness is poor, the real-time change of the gas parameters cannot be captured, human errors are easily introduced in a data acquisition link, and the high requirements of process-level accounting on the representativeness and the accuracy of the data are difficult to meet. For mixed gas, the existing method lacks an accurate and reliable model to reasonably split and trace the carbon emission to each production process, so that the carbon footprint of the process is distorted. Patent CN117635170a proposes a carbon emission management method in the steel manufacturing process of steel manufacturing enterprises, comprising obtaining a carbon flow map of the whole manufacturing process, and generating a carbon flow model according to the carbon flow map. Calculating the current link carbon emission of each manufacturing link in the current emission period by using the carbon flow model, the environment data and the loss data, respectively predicting the current category carbon emission corresponding to each emission category in the current emission period by using the carbon flow model according to the current link carbon emission and the current carbon fixation data, and judging whether the carbon emission of an enterprise in the current emission period exceeds the standard according to the comparison result of the carbon emission prediction total amount and the preset carbon emission threshold value in the current emission period. And if the current emission source data exceeds the standard, limiting the current emission source data corresponding to each manufacturing link by using a preset first quota rule. However, certain defects exist in data quality, working efficiency and automation, audit and standardization and mixed gas scenes. Disclosure of Invention The invention aims to overcome the defects of the prior art and provide a coal gas data management and dynamic distribution method and system for process-level carbon emission accounting in the steel industry, which replace manual accounting with automatic data flow to realize high-frequency near-real-time carbon accounting and provide timely and reliable data for fine management of carbon emission of enterprises. The aim of the invention can be achieved by the following technical scheme: a coal gas data management and dynamic distribution method for process-level carbon emission accounting in the steel industry comprises the following steps: collecting flow and component parameters of gas in gas channels corresponding to a blast furnace, a coke oven and a converter; performing real-time data quality control processing and statistical calculation processing on the acquired data, and screening to obtain effective data; calculating the low-order heating value and the carbon content of the unit heating value of the coal gas based on the effective data, and performing uncertainty analysis; and constructing a mixed gas carbon emission distribution model based on a mass energy conservation equation, solving the ratio of each source gas in the mixed gas based on the low-order heating value and the carbon content of the unit heating value, and verifying and correcting a distribution result by combining an uncertainty analysis result to finish the splitting and distribution of carbon emission. Further, the flow and composition parameters are obtained based on-line monitoring meters deployed at the channels of