首页|Rate-based model for predicting and evaluating H2S absorption in the haloalkaliphilic biological desulfurization process
Rate-based model for predicting and evaluating H2S absorption in the haloalkaliphilic biological desulfurization process
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NSTL
Elsevier
? 2022 The Korean Society of Industrial and Engineering ChemistryThe highly efficient performance of H2S absorption is the crucial indicator for haloalkaliphilic biological desulfurization (HBDS) because it immediately concerns the H2S removal efficiency and pH change of alkaline solutions. Therefore, we investigated the effect of operating parameters on the H2S absorption's performance under haloalkaline conditions. The gas–liquid ratio and packing height significantly improve H2S removal efficiency, from 80% to 90% and 66% to 99%, respectively. The absorption temperature had a trivial impact on the H2S removal efficiency, and the maximum value appeared at 45 °C. Additionally, all operating parameters caused pH changes that varied in the acceptable range (0.1 to 0.5) during the absorption process. A rate-based model was successfully developed to predict the haloalkaliphilic H2S absorption process accurately. Moreover, this model could be implemented to effectively evaluate the HBDS system's stability and provide reliable theoretical guidance for the industrial HBDS process to ensure good process stability.
CAS Key Laboratory of Green Process and Engineering State Key Laboratory of Biochemical Engineering Institute of Process Engineering Chinese Academy of Sciences (CAS)
Environmental Microbiology and Biotechnology Aquatic Microbiology University of Duisburg-Essen
NSTL
Elsevier
