Scenario analysis of cost-effectiveness of maintenance strategies for fixed tidal stream turbines in the Atlantic Ocean
| dc.contributor.author | Kamidelivand, Mitra | en |
| dc.contributor.author | Deeney, Peter | en |
| dc.contributor.author | Devoy McAuliffe, Fiona | en |
| dc.contributor.author | Leyne, Kevin | en |
| dc.contributor.author | Togneri, Michael | en |
| dc.contributor.author | Murphy, Jimmy | en |
| dc.contributor.funder | European Regional Development Fund | en |
| dc.date.accessioned | 2023-06-27T11:13:40Z | |
| dc.date.available | 2023-06-27T11:13:40Z | |
| dc.date.issued | 2023-05-13 | en |
| dc.description.abstract | This paper has developed an operation and maintenance (O&M) model for projected 20 MW tidal stream farm case studies at two sites in the northeast Atlantic in France and at EMEC’s Fall of Warness site in the UK. The annual energy production, number of incidents, and downtimes of the farms for corrective and planned (preventive) maintenance strategies are estimated using Monte Carlo simulations that vary weather windows, repair vessel availabilities, and mean annual failure rates modelled by Weibull distributions. The trade-offs between the mean annual failure rates, time availability, O&M costs, and energy income minus the variable O&M costs were analysed. For all scenarios, a 5-year planned maintenance strategy could considerably decrease the mean annual failure rates by 37% at both sites and increase the net energy income. Based on a detailed sensitivity analysis, the study has suggested a simple decision-making method that examines how the variation in the mean annual failure rate and changes in spare-part costs would reduce the effectiveness of a preventive maintenance strategy. This work provides insights into the most important parameters that affect the O&M cost of tidal stream turbines and their effect on tidal energy management. The output of the study will contribute to decision-making concerning maintenance strategies. | en |
| dc.description.sponsorship | European Regional Development Fund (MONITOR project, which was funded by the Atlantic Area (EAPA_333/2016) and the SELKIE project, which has received funding from the European Union’s European Regional Development Fund through the Ireland-Wales Cooperation programme: Selkie 81874) | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Published Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.articleid | 1046 | en |
| dc.identifier.citation | Kamidelivand, M., Deeney, P., McAuliffe, F.D., Leyne, K., Togneri, M. and Murphy, J. (2023) ‘Scenario analysis of cost-effectiveness of maintenance strategies for fixed tidal stream turbines in the atlantic ocean’, Journal of Marine Science and Engineering, 11(5), 1046 (18 pp). https://doi.org/10.3390/jmse11051046. | en |
| dc.identifier.doi | 10.3390/jmse11051046 | en |
| dc.identifier.endpage | 18 | en |
| dc.identifier.issn | 2077-1312 | en |
| dc.identifier.issued | 5 | en |
| dc.identifier.journaltitle | Journal of Marine Science and Engineering | en |
| dc.identifier.startpage | 1 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/14690 | |
| dc.identifier.volume | 11 | en |
| dc.language.iso | en | en |
| dc.publisher | MDPI | en |
| dc.relation.ispartof | Journal of Marine Science and Engineering | en |
| dc.rights | © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). | en |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | en |
| dc.subject | Tidal stream turbine | en |
| dc.subject | Stochastic O&M model | en |
| dc.subject | Corrective and planned maintenance | en |
| dc.subject | Annual failure rate | en |
| dc.subject | Downtime | en |
| dc.subject | Net income | en |
| dc.title | Scenario analysis of cost-effectiveness of maintenance strategies for fixed tidal stream turbines in the Atlantic Ocean | en |
| dc.type | Article (peer-reviewed) | en |
| dc.type | journal-article | en |
| oaire.citation.issue | 5 | en |
| oaire.citation.volume | 11 | en |
