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Research Advances towards Low Cost, High Efficiency PEM Electrolysis

Open access
Ayers, Katherine E., Anderson, Everett B., Capuano, Christopher, Carter, Blake, Dalton, Luke, Hanlon, Greg, Manco, Judith, Niedzwiecki, Michael·2010·ECS Transactions

Abstract

Water electrolysis has benefits over other hydrogen generation technologies due to the lack of carbon footprint when integrated with a renewable source of energy. Specifically, proton exchange membrane (PEM) electrolysis is a promising technology for hydrogen generation applications because of the lack of corrosive electrolytes, small footprint, and ability to generate at high pressure, requiring only deionized water and an energy source. PEM electrolysis also produces very pure hydrogen, with none of the typical catalyst poisons that may be found in hydrogen produced from reforming. However, significant advances are required in order to in order to provide a cost-competitive hydrogen source for energy markets. This paper will discuss the current limitations and recent work by Proton Energy Systems towards reaching the DOE Hydrogen Program objective for distributed production of hydrogen from distributed water electrolysis of $3.70/gge by 2012.

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Metadata

Authors
Ayers, K. E., Anderson, E. B., Capuano, C., Carter, B., Dalton, L., Hanlon, G., Manco, J., & Niedzwiecki, M.
Venue
ECS Transactions
Published
2010-10-01
Volume
33
Issue
1
Pages
3-15
ISSN
  • 1938-5862 (ISSN-L)
  • 1938-6737
OpenAlex
W2330120295
Cited by
367
References
0
FWCI
4.37
Type
conference paper
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Research Advances towards Low Cost, High Efficiency PEM Electrolysis. https://app.cochat.ai/papers/10.1149/1.3484496
The paper
Ayers, K. E., Anderson, E. B., Capuano, C., Carter, B., Dalton, L., Hanlon, G., Manco, J., & Niedzwiecki, M. (2010). Research Advances towards Low Cost, High Efficiency PEM Electrolysis. ECS Transactions. https://doi.org/10.1149/1.3484496

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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.