Optimization Study on Desulfurization and Decyanation Process of Coke Oven Gas Based on Regression Model
In recent years,the coking industry has been continuously developing and growing.At the same time,with the increasingly strict environmental requirements,the requirements for the efficiency of desulfurization and decyanation technology in coke oven gas in the coking industry have become increasingly high.This article studies the use of regression models to analyze the factors that affect desulfurization efficiency in engineering,and measures and calculates the desulfurization level of the corresponding desulfurization process.Based on the analysis results,the third phase desulfurization device was optimized and designed,and the completed device was evaluated.Based on relevant evaluations,the production methods were further improved,and the advantages of the desulfurization process in the fourth phase of the project were utilized to achieve organic integration,resulting in an economic benefit of approximately 12.56 million yuan/a.It can ensure excellent desulfurization effect at a lower cost.
regression modelcoke oven gasdesulfurization and decyanationoptimal design
NETL
NSTL
万方数据
维普
