CAS OpenIR
Rate-based model for predicting and evaluating H2S absorption in the haloalkaliphilic biological desulfurization process
Chen, Zheng1,2; Yang, Gama1,2; Mu, Tingzhen1; Yang, Maohua1; Samak, Nadia A.4; Peh, Sumit1,2; Jia, Yunpu1,2; Hao, Xuemi1,2; Zhao, Xuhao1; Xing, Jianmin1,2,3
2022-06-25
Source PublicationJOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
ISSN1226-086X
Volume110Pages:479-490
AbstractThe 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 degrees 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. (C)2022 The Korean Society of Industrial and Engineering Chemistry. Published by Elsevier B.V. All rights reserved.
KeywordHaloalkaliphilic biological desulfurization H2S absorption Process stability Rate-based model Simulation Optimization
DOI10.1016/j.jiec.2022.03.020
Language英语
WOS KeywordHYDROGEN-SULFIDE ; CARBON-DIOXIDE ; BIOGAS DESULFURIZATION ; AQUEOUS AMMONIA ; CO2 ABSORPTION ; PHASE-BEHAVIOR ; MASS-TRANSFER ; PERFORMANCE ; BIOREACTOR ; SOLUBILITY
Funding ProjectNational Key Research & Development Program of China[2020YFA0906800] ; National Science Foundation of China[21878307] ; National Science Foundation of China[31800030] ; National Science Foundation of China[31872633]
WOS Research AreaChemistry ; Engineering
WOS SubjectChemistry, Multidisciplinary ; Engineering, Chemical
Funding OrganizationNational Key Research & Development Program of China ; National Science Foundation of China
WOS IDWOS:000891729100004
PublisherELSEVIER SCIENCE INC
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/55931
Collection中国科学院过程工程研究所
Corresponding AuthorMu, Tingzhen; Xing, Jianmin
Affiliation1.Chinese Acad Sci, Inst Proc Engn, CAS Key Lab Green Proc & Engn, State Key Lab Biochem Engn, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Coll Chem Engn, Beijing 100049, Peoples R China
3.Chem & Chem Engn Guangdong Lab, Shantou 515031, Peoples R China
4.Univ Duisburg Essen, Environm Microbiol & Biotechnol, Aquat Microbiol, D-4141 Essen, Germany
Recommended Citation
GB/T 7714
Chen, Zheng,Yang, Gama,Mu, Tingzhen,et al. Rate-based model for predicting and evaluating H2S absorption in the haloalkaliphilic biological desulfurization process[J]. JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY,2022,110:479-490.
APA Chen, Zheng.,Yang, Gama.,Mu, Tingzhen.,Yang, Maohua.,Samak, Nadia A..,...&Xing, Jianmin.(2022).Rate-based model for predicting and evaluating H2S absorption in the haloalkaliphilic biological desulfurization process.JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY,110,479-490.
MLA Chen, Zheng,et al."Rate-based model for predicting and evaluating H2S absorption in the haloalkaliphilic biological desulfurization process".JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY 110(2022):479-490.
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