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Article Navigation >  Green Energy&Environment  > 2018  >  3(2): 107-119
Minman Tong, Youshi Lan, Qingyuan Yang, Chongli Zhong. High-throughput computational screening and design of nanoporous materials for methane storage and carbon dioxide capture. Green Energy&Environment, 2018, 3(2): 107-119. doi: 10.1016/j.gee.2017.09.004
Citation: Minman Tong, Youshi Lan, Qingyuan Yang, Chongli Zhong. High-throughput computational screening and design of nanoporous materials for methane storage and carbon dioxide capture. Green Energy&Environment, 2018, 3(2): 107-119. doi: 10.1016/j.gee.2017.09.004
shu

High-throughput computational screening and design of nanoporous materials for methane storage and carbon dioxide capture

doi: 10.1016/j.gee.2017.09.004
  • a.

    School of Chemistry and Materials Science, Jiangsu Normal University, Xuzhou 221116, China

  • b.

    Beijing Advanced Innovation Center for Soft Matter Science and Engineering, Beijing University of Chemical Technology, Beijing 100029, China

  • c.

    State Key Laboratory of Organic-Inorganic Composites, Beijing University of Chemical Technology, Beijing 100029, China

More Information
  • Corresponding author: E-mail address: qyyang@mail.buct.edu.cn (Qingyuan Yang)
  • Received date 07 June 2017, Accepted date 30 September 2017, RevRecd date 24 August 2017, Available online 07 October 2017, Publish date 30 April 2018,
    Abstract
  • The globally increasing concentrations of greenhouse gases in atmosphere after combustion of coal- or petroleum-based fuels give rise to tremendous interest in searching for porous materials to efficiently capture carbon dioxide (CO2) and store methane (CH4), where the latter is a kind of clean energy source with abundant reserves and lower CO2 emission. Hundreds of thousands of porous materials can be enrolled on the candidate list, but how to quickly identify the really promising ones, or even evolve materials (namely, rational design high-performing candidates) based on the large database of present porous materials? In this context, high-throughput computational techniques, which have emerged in the past few years as powerful tools, make the targets of fast evaluation of adsorbents and evolving materials for CO2 capture and CH4 storage feasible. This review provides an overview of the recent computational efforts on such related topics and discusses the further development in this field.

     

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