The DOI matches its Crossref record.
Hydrogen production by alkaline water electrolysis
Open accessAbstract
Water electrolysis is one of the simplest methods used for hydrogen production. It has the advantage of being able to produce hydrogen using only renewable energy. To expand the use of water electrolysis, it is mandatory to reduce energy consumption, cost, and maintenance of current electrolyzers, and, on the other hand, to increase their efficiency, durability, and safety. In this study, modern technologies for hydrogen production by water electrolysis have been investigated. In this article, the electrochemical fundamentals of alkaline water electrolysis are explained and the main process constraints (e.g., electrical, reaction, and transport) are analyzed. The historical background of water electrolysis is described, different technologies are compared, and main research needs for the development of water electrolysis technologies are discussed.
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
Chatenet, M., Pollet, B. G., Dekel, D. R., Dionigi, F., Deseure, J., Millet, P., Braatz, R. D., Bazant, M. Z., Eikerling, M., Staffell, I., et al. (2022) · Chemical Society Reviews · doi:10.1039/d0cs01079k · Cited by 2,025
An overview of water electrolysis technologies for green hydrogen production
Shiva Kumar, S., & Lim, H. (2022) · Energy Reports · doi:10.1016/j.egyr.2022.10.127 · Cited by 1,526
Recent advances in heterogeneous electrocatalysts for the hydrogen evolution reaction
Zeng, M., & Li, Y. (2015) · Journal of Materials Chemistry A · doi:10.1039/c5ta02974k · Cited by 1,294
Bareiß, K., de la Rua, C., Möckl, M., & Hamacher, T. (2019) · Applied Energy · doi:10.1016/j.apenergy.2019.01.001 · Cited by 587
A Review of The Methanol Economy: The Fuel Cell Route
Simon Araya, S., Liso, V., Cui, X., Li, N., Zhu, J., Sahlin, S. L., Jensen, S. H., Nielsen, M. P., & Kær, S. K. (2020) · Energies · doi:10.3390/en13030596 · Cited by 298
Metadata
- Authors
- Santos, D. M. F., Sequeira, C. A. C., & Figueiredo, J. L.
- Venue
- Química Nova
- Publisher
- FapUNIFESP (SciELO)
- Published
- 2013
- Volume
- 36
- Issue
- 8
- Pages
- 1176-1193
- ISSN
- 0100-4042 (ISSN-L)
- OpenAlex
- W2153633066
- Cited by
- 509
- References
- 0
- FWCI
- 3.97
- Type
- journal article
- Language
- en
- Open access
- gold
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 by alkaline water electrolysis. https://app.cochat.ai/papers/10.1590/s0100-40422013000800017
- The paper
- Santos, D. M. F., Sequeira, C. A. C., & Figueiredo, J. L. (2013). Hydrogen production by alkaline water electrolysis. Química Nova. https://doi.org/10.1590/s0100-40422013000800017
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.
