4.6 Article

A multi-scale approach for the discovery of zeolites for hydrogen sulfide removal

期刊

COMPUTERS & CHEMICAL ENGINEERING
卷 91, 期 -, 页码 206-218

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compchemeng.2016.03.015

关键词

H2S removal; Multi-scale optimization; Zeolites; Separation; Process optimization

资金

  1. National Science Foundation [EFRI-0937706, CBET-1263165]
  2. National Defense Science and Engineering Graduate (NDSEG)
  3. China Scholarship Council, CSC [201306880009]

向作者/读者索取更多资源

Removing H2S from industrial gases is important to avoid operational hazards and to meet environmental regulation. Microporous zeolites are potential adsorbents for separating H2S from other gases. While large number of candidate zeolites exists, it is not trivial to select cost-effective zeolites capable of satisfying process constraints and specifications. In this work, a novel method for the zeolite-based H2S separation is put forward which pertains to a multi-scale modeling, simulation, and optimization framework for combined material screening and process optimization to reduce the overall process cost. The framework spans the atomistic and mesoscopic scales for the screening and selection of zeolites and the macroscopic scale for the simulation and selection of optimal conditions for pressure swing adsorption (PSA)-based H2S separation technology. Applying this framework, several novel zeolites have been identified for the first time for separation of H2S from representative H2S/CO2, H2S/N-2, and H2S/CH4 mixtures. The zeolites which are screened are capable of removing H2S from natural gas, acid gas, tail gas, flue gas, refinery gas, biogas, landfill gas, and other gases of industrial importance. Results show that it is possible to perform cost-effective H2S removal by exploiting reverse selectivity of the gas molecules using novel micro-porous materials. We have also identified zeolite ABW as an adsorbent with high potential for commercialization for multi-purpose gas separation including acid gas removal from natural gas and carbon capture from power plants. (C) 2016 Elsevier Ltd. All rights reserved.

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