4.6 Article

Evaluating mixture adsorption models using molecular simulation

期刊

AICHE JOURNAL
卷 59, 期 8, 页码 3054-3064

出版社

WILEY-BLACKWELL
DOI: 10.1002/aic.14058

关键词

adsorption; gas; simulation; molecular; computer simulations (MC and MD); thermodynamics; classical; zeolites

资金

  1. Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy
  2. Deutsche Forschungsgemeinschaft (DFG) [SPP 1570]
  3. U.S. Department of Energy through the Carbon Capture Simulation Initiative (CCSI) [DE-AC02-05CH11231]
  4. Center for Gas Separations Relevant to Clean Energy Technologies, an Energy Frontier Research Center
  5. U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences [DE-SC0001015]
  6. NIH
  7. Theoretical and Computational Biophysics group at the Beckman Institute, University of Illinois at Urbana-Champaign

向作者/读者索取更多资源

The design of adsorption-based separation processes using novel adsorbents requires reliable data for the adsorption of fluid mixtures on candidate adsorbents. Due to the difficulty of generating sufficient data across possible operating conditions, process designs generally rely on interpolation of pure-component data using a model, most commonly ideal adsorbed solution theory (IAST), and related theories. There are many cases where IAST fails to provide an adequate description of mixture adsorption, usually due to the fact that practical adsorbents do not have uniform surfaces. We have evaluated the use of a segregated version of IAST, where competition is assumed to occur at isolated adsorption sites. This simple modification can provide the correct description of adsorption across a large range of pressures using ideal isotherm models. We also demonstrate the importance of identifying multiple sites even for weakly adsorbing components to provide the correct behavior at high pressure. (c) 2013 American Institute of Chemical Engineers AIChE J, 59: 3054-3064, 2013

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据