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Title: Optimizing nanoporous materials for gas storage

Journal Article · · Physical Chemistry Chemical Physics. PCCP
DOI:https://doi.org/10.1039/C3CP55039G· OSTI ID:1474404
 [1];  [2];  [1];  [3];  [3];  [1]
  1. Univ. of California, Berkeley, CA (United States). Dept. of Chemical and Biomolecular Engineering
  2. Korea Advanced Inst. Science and Technology (KAIST), Daejeon (Korea, Republic of). Dept. of Chemical and Biomolecular Engineering
  3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

In this work, we address the question of which thermodynamic factors determine the deliverable capacity of methane in nanoporous materials. The deliverable capacity is one of the key factors that determines the performance of a material for methane storage in automotive fuel tanks. To obtain insights in how the molecular characteristics of a material are related to this deliverable capacity, we developed several statistical thermodynamic models. The predictions of these models are compared with the classical thermodynamics approach of Bhatia and Myers [Bhatia and Myers Langmuir, 2005, 22, 1688] and with the results of molecular simulations in which we screen the IZA zeolite structures and a hypothetical zeolite database of over 100,000 structures. Both the simulations and our models do not support the rule of thumb that, for methane storage, one should aim for an optimal heat of adsorption of 18.8 kJ/mol-1. Instead, our models show that one can identify an optimal heat of adsorption, but that this optimal heat of adsorption depends on the structure of the material. The different models we have developed are aimed to provide guidelines on how this optimal heat of adsorption is related to the molecular structure of the material.

Research Organization:
Univ. of Minnesota, Minneapolis, MN (United States). Nanoporous Materials Genome Center
Sponsoring Organization:
USDOE Office of Science (SC), Basic Energy Sciences (BES). Chemical Sciences, Geosciences, and Biosciences Division
Contributing Organization:
National Energy Research Scientific Computing Center
Grant/Contract Number:
FG02-12ER16362; SC0008688
OSTI ID:
1474404
Journal Information:
Physical Chemistry Chemical Physics. PCCP, Vol. 16, Issue 12; ISSN 1463-9076
Publisher:
Royal Society of ChemistryCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 70 works
Citation information provided by
Web of Science

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Cited By (11)

Hydrogen Storage Materials for Mobile and Stationary Applications: Current State of the Art journal June 2015
pyGAPS: a Python-based framework for adsorption isotherm processing and material characterisation journal September 2019
Quantifying similarity of pore-geometry in nanoporous materials journal May 2017
Towards general network architecture design criteria for negative gas adsorption transitions in ultraporous frameworks journal August 2019
High-throughput computational screening of nanoporous adsorbents for CO 2 capture from natural gas journal January 2016
Porous aluminophosphates as adsorbents for the separation of CO 2 /CH 4 and CH 4 /N 2 mixtures – a Monte Carlo simulation study journal January 2018
Large entropy derived from low-frequency vibrations and its implications for hydrogen storage journal February 2018
Prediction of hydrogen adsorption in nanoporous materials from the energy distribution of adsorption sites journal August 2019
Porous Aluminophosphates as Adsorbents for the Separation of CO2/CH4 and CH4/N2 Mixtures – a Monte Carlo Simulation Study posted_content May 2018
pyGAPS: A Python-Based Framework for Adsorption Isotherm Processing and Material Characterisation preprint April 2019
pyGAPS: A Python-Based Framework for Adsorption Isotherm Processing and Material Characterisation preprint August 2019

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