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A series of metal–organic frameworks with high methane uptake and an empirical equation for predicting methane storage capacity

He, Yabing, Zhou, Wei, Yildirim, Taner, Chen, Banglin·2013·Energy & Environmental Science

Abstract

A series of metal–organic frameworks (NOTT-100a (MOF-505a), NOTT-101a, NOTT-102a, NOTT-103a and NOTT-109a) with variable open copper sites and micropore spaces have been examined as potential adsorbents for methane storage. They exhibit high adsorption capacities for methane at 300 K and 35 bar (181–196 cm3 (STP) cm−3). Supposing that the deliverable amount of methane is defined as the difference in the amount of methane adsorbed between 5 bar and 35 bar, NOTT-101a, NOTT-102a and NOTT-103a exhibit excellent deliverable capacities of methane (136–140 cm3 (STP) cm−3), comparable to the highest of all previously reported MOF materials. The gravimetric methane uptake in this MOF series systematically increases with increasing porosity, while their methane storage pore occupancy decreases with increasing pore size. The fact that gravimetric methane uptakes correlate well with their corresponding pore volumes enables us to derive an empirical equation: C = −126.69 × Vp2 + 381.62 × Vp − 12.57, where C is the excess gravimetric methane storage capacity at 35 bar and 300 K in cm3 (STP) g−1, and Vp is the pore volume of a MOF material in cm3 g−1. This empirical equation can predict the methane storage performance of previously reported microporous MOF materials of Vp less than 1.50 cm3 g−1 reasonably well, and thus provides a convenient method to screen MOFs for methane storage purposes.

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Metadata

Authors
He, Y., Zhou, W., Yildirim, T., & Chen, B.
Venue
Energy & Environmental Science
Published
2013
Volume
6
Issue
9
Pages
2735
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2056862048
Cited by
214
References
3
FWCI
14.77
Type
journal article
Language
en
Open access
closed

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He, Y., Zhou, W., Yildirim, T., & Chen, B. (2013). A series of metal–organic frameworks with high methane uptake and an empirical equation for predicting methane storage capacity. Energy & Environmental Science. https://doi.org/10.1039/c3ee41166d

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