The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Optimum Conditions for Adsorptive Storage
Abstract
The storage of gases in porous adsorbents, such as activated carbon and carbon nanotubes, is examined here thermodynamically from a systems viewpoint, considering the entire adsorption-desorption cycle. The results provide concrete objective criteria to guide the search for the "Holy Grail" adsorbent, for which the adsorptive delivery is maximized. It is shown that, for ambient temperature storage of hydrogen and delivery between 30 and 1.5 bar pressure, for the optimum adsorbent the adsorption enthalpy change is 15.1 kJ/mol. For carbons, for which the average enthalpy change is typically 5.8 kJ/mol, an optimum operating temperature of about 115 K is predicted. For methane, an optimum enthalpy change of 18.8 kJ/mol is found, with the optimum temperature for carbons being 254 K. It is also demonstrated that for maximum delivery of the gas the optimum adsorbent must be homogeneous, and that introduction of heterogeneity, such as by ball milling, irradiation, and other means, can only provide small increases in physisorption-related delivery for hydrogen. For methane, heterogeneity is always detrimental, at any value of average adsorption enthalpy change. These results are confirmed with the help of experimental data from the literature, as well as extensive Monte Carlo simulations conducted here using slit pore models of activated carbons as well as atomistic models of carbon nanotubes. The simulations also demonstrate that carbon nanotubes offer little or no advantage over activated carbons in terms of enhanced delivery, when used as storage media for either hydrogen or methane.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Equation of State Calculations by Fast Computing Machines
Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., & Teller, E. (1953) · The Journal of Chemical Physics · doi:10.1063/1.1699114 · Cited by 37,192
Cited by
Pillared Graphene: A New 3-D Network Nanostructure for Enhanced Hydrogen Storage
Dimitrakakis, G. K., Tylianakis, E., & Froudakis, G. E. (2008) · Nano Letters · doi:10.1021/nl801417w · Cited by 772
Advanced carbon aerogels for energy applications
Biener, J., Stadermann, M., Suss, M., Worsley, M. A., Biener, M. M., Rose, K. A., & Baumann, T. F. (2011) · Energy & Environmental Science · doi:10.1039/c0ee00627k · Cited by 651
Han, S. S., Mendoza-Cortés, J. L., & Goddard III, W. A. (2009) · Chemical Society Reviews · doi:10.1039/b802430h · Cited by 594
Nouar, F., Eckert, J., Eubank, J. F., Forster, P., & Eddaoudi, M. (2009) · Journal of the American Chemical Society · doi:10.1021/ja807229a · Cited by 485
Nanoporous Polymers for Hydrogen Storage
Germain, J., Fréchet, J. M. J., & Svec, F. (2009) · Small · doi:10.1002/smll.200801762 · Cited by 432
Metadata
- Authors
- Bhatia, S. K., & Myers, A. L.
- Venue
- Langmuir
- Publisher
- American Chemical Society (ACS)
- Published
- 2006-01-17
- Volume
- 22
- Issue
- 4
- Pages
- 1688-1700
- ISSN
- 0743-7463 (ISSN-L)
- 1520-5827
- OpenAlex
- W2079819807
- Cited by
- 1,113
- References
- 1
- FWCI
- 42.10
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.