Wu, Peng;
(2020)
Decarbonising coastal shipping using fuel cells and batteries.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Fuel cells and batteries hold the potential to revolutionise emission performance for coastal ships. A critical review of previous research and projects in this field highlighted potential benefits offered through using fuel cell and battery technologies to decarbonise the coastal shipping. Currently, there is a lack of holistic design methods for such systems operating in different regions with variable energy properties. This research project aims to develop a holistic power sourcing sizing methodology that can optimise the alternative propulsion system designs, and effective energy management strategies for such systems. This research employs energy efficiency oriented propulsion system models which are calibrated and validated by experimental data. The proposed multi-objective sizing methodology explores the optimal power source sizing of a typical coastal ferry with sensitivity studies of different energy properties. The sizing methodology has been validated using the random search method. Reinforcement learning and deep reinforcement learning agents were trained with real-ship power profiles to generate near-optimal energy management strategies. These strategies have been compared and verified with results solved by deterministic dynamic programming. The conclusions of this research suggest that energy properties and power source characteristics can significantly influence the designs of hybrid fuel cell and battery systems. Ships operating on short routes can potentially benefit from such systems. Additionally, continuously monitored power profiles can be used to train reinforcement learning agents to achieve near-optimal operating costs.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Decarbonising coastal shipping using fuel cells and batteries |
| Event: | UCL (University College London) |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Copyright © The Author [year]. Original content in this thesis is licensed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) Licence (https://creativecommons.org/licenses/by/4.0/). Any third-party copyright material present remains the property of its respective owner(s) and is licensed under its existing terms. Access may initially be restricted at the author’s request. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Mechanical Engineering |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10101024 |
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