The DOI matches its Crossref record.
Hydrogen Production Using Sorption-Enhanced Reaction
Abstract
This study examined the sorption-enhanced production of H 2 via the steam−methane reforming process using a mixture of Ni-based commercial reforming catalyst and Ca-based sorbent obtained from commercial dolomite. The rates of the reforming, water−gas shift, and CO 2 removal reactions are sufficiently fast that combined reaction equilibrium was closely approached, allowing for >95 mol % H 2 (dry basis) to be produced in a single step. A dolomite pretreatment procedure was developed to remove sulfur, which was necessary to avoid poisoning of the reforming catalyst. The multicycle durability of the catalyst−sorbent mixture was studied as a function of regeneration temperature and gas composition using a laboratory-scale fixed-bed reactor. Twenty-five-cycle tests showed only moderate activity loss under most of the regeneration conditions studied. The primary loss in activity was associated with the inexpensive sorbent instead of the more expensive catalyst.
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
Cited by
Dean, C. C., Blamey, J., Florin, N. H., Al-Jeboori, M. J., & Fennell, P. S. (2011) · Chemical Engineering Research and Design · doi:10.1016/j.cherd.2010.10.013 · Cited by 375
Capture of CO2 from combustion gases in a fluidized bed of CaO
Abanades, J. C., Anthony, E. J., Lu, D. Y., Salvador, C., & Alvarez, D. (2004) · AIChE Journal · doi:10.1002/aic.10132 · Cited by 373
Perejón, A., Romeo, L. M., Lara, Y., Lisbona, P., Martínez, A., & Valverde, J. M. (2016) · Applied Energy · doi:10.1016/j.apenergy.2015.10.121 · Cited by 367
Multiphase carbon mineralization for the reactive separation of CO2 and directed synthesis of H2
Gadikota, G. (2020) · Nature Reviews Chemistry · doi:10.1038/s41570-019-0158-3 · Cited by 95
Metadata
- Authors
- Lopez Ortiz, A., & Harrison, D. P.
- Venue
- Industrial & Engineering Chemistry Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2001-06-02
- Volume
- 40
- Issue
- 23
- Pages
- 5102-5109
- ISSN
- 0888-5885 (ISSN-L)
- 1520-5045
- OpenAlex
- W2460867982
- Cited by
- 261
- References
- 0
- FWCI
- 1.23
- 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
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hydrogen Production Using Sorption-Enhanced Reaction. https://app.cochat.ai/papers/10.1021/ie001009c
- The paper
- Lopez Ortiz, A., & Harrison, D. P. (2001). Hydrogen Production Using Sorption-Enhanced Reaction. Industrial & Engineering Chemistry Research. https://doi.org/10.1021/ie001009c
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.