Fan
Technical and economic analysis of hydrogen refuelling
Fan
Authors
Abstract
This paper focuses on technical and economic analysis of a hydrogen refilling station to provide operational insight through tight coupling of technical models of physical processes and economic models. This allows the dynamic relationships of the system to be captured and analysed to provide short/medium term analytical capability to support system design, planning, and financing. The modelling developed here highlights the need to closely link technical and economic models for technology led projects where technical capability and commercial feasibility are important. The results show that hydrogen fuel can be competitive with petrol on a GBP/KG basis if the return on investment period is over 10 years for PEM electrolysers and 5 for Alkaline electrolysers. We also show that subsidies on capital costs (as reflected by some R&D funding programs) make both PEM and Alkaline technologies cheaper than the equivalent price of petrol, which suggests more emphasis should be put on commercialising R&D funded projects as they have commercial advantages. The paper also shows that a combined wind and grid connected station is preferable so that a higher number of customers are served (i.e. minimum shortage of hydrogen).
Citation
Fan. (2016). Technical and economic analysis of hydrogen refuelling. Applied Energy, 211 - 220. https://doi.org/10.1016/j.apenergy.2015.10.094
Acceptance Date | Oct 13, 2015 |
---|---|
Publication Date | Apr 1, 2016 |
Journal | Applied Energy |
Print ISSN | 0306-2619 |
Publisher | Elsevier |
Pages | 211 - 220 |
DOI | https://doi.org/10.1016/j.apenergy.2015.10.094 |
Keywords | Hydrogen production; Hydrogen economics; PEM; Alkaline; Wind integration |
Publisher URL | https://doi.org/10.1016/j.apenergy.2015.10.094 |
Files
Z Fan - Technical and economic analysis of hydrogen refuelling.pdf
(971 Kb)
PDF
Publisher Licence URL
https://creativecommons.org/licenses/by-nc-nd/4.0/
You might also like
The role of ‘living laboratories’ in accelerating the energy system decarbonization
(2022)
Journal Article
A Review of Privacy-preserving Federated Learning for the Internet-of-Things
(2021)
Book Chapter
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search