H2S Reactive Absorption from Off-Gas in a Spray Column: Insights from Experiments and Modeling

被引：11

作者：

Bashipour, Fatemeh ^{[1
]}

Khorasani, Saied Nouri ^{[1
]}

Rahimi, Amir ^{[2
]}

机构：

[1] Isfahan Univ Technol, Dept Chem Engn, Esfahan 8415683111, Iran

[2] Univ Isfahan, Coll Engn, Dept Chem Engn, Esfahan, Iran

来源：

CHEMICAL ENGINEERING & TECHNOLOGY | 2015年 / 38卷 / 12期

关键词：

Artificial neural network; Hydrogen sulfide; Reactive absorption; Response surface methodology; Spray column; ARTIFICIAL NEURAL-NETWORK; RESPONSE-SURFACE METHODOLOGY; OPTIMIZATION; REMOVAL; CO2; PERFORMANCE; ADSORPTION; EXTRACTION; TOWER;

D O I：

10.1002/ceat.201500233

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

H2S removal from an off-gas stream was performed in a spray column by H2S reactive absorption into a NaOH solution. The individual and interactive effects of three independent operating variables on the percentage of absorbed H2S were investigated: the initial pH of the scrubbing solution, the initial scrubbing solution temperature, and the volumetric liquid-to-gas ratio. The optimum operating variables were determined by response surface methodology (RSM) attaining a percentage of absorbed H2S of 98.7 +/- 0.2 %. Additionally, the process performance was modeled by an artificial neural network (ANN) to predict the percentage of absorbed H2S. The results showed that the experimental data agreed better with the ANN model than with the RSM results.

引用

页码：2137 / 2145

页数：9

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