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Mathematical Modeling and Genetic Algorithm Optimization of Reactive Absorption of H2S
Authors:Fatemeh Bashipour  Saied Nouri Khorasani  Amir Rahimi
Affiliation:1. Department of Chemical Engineering, Isfahan University of Technology, Isfahan, Iran.;2. Department of Chemical Engineering, College of Engineering, University of Isfahan, Isfahan, Iran.
Abstract:A rate‐based mathematical model was developed for the reactive absorption of H2S in NaOH, with NaOCl or H2O2 as the chemical oxidant solutions in a packed column. A modified mass transfer coefficient in the gas phase was obtained by genetic algorithm and implemented in the model to correct the assumption of instantaneous reactions. The effects of different operating variables including the inlet H2S concentration, inlet gas mass flux, initial NaOH, concentrations of the chemical oxidants in the scrubbing solutions, and liquid‐to‐gas ratio on the H2S removal efficiency were studied. A genetic algorithm was employed to optimize the operating variables in order to obtain maximum removal efficiency of H2S. The model results were in good agreement with the experimental data.
Keywords:Genetic algorithm  H2S removal  Mathematical modeling  Packed‐bed column  Reactive absorption
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