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Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean

Mitra Kamidelivand Orcid Logo, Peter Deeney, Fiona Devoy McAuliffe, Kevin Leyne, Michael Togneri Orcid Logo, Jimmy Murphy Orcid Logo

Journal of Marine Science and Engineering, Volume: 11, Issue: 5, Start page: 1046

Swansea University Author: Michael Togneri Orcid Logo

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DOI (Published version): 10.3390/jmse11051046

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 co...

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Published in: Journal of Marine Science and Engineering
ISSN: 2077-1312
Published: MDPI AG 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa63967
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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&amp;M costs, and energy income minus the variable O&amp;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&amp;M cost of tidal stream turbines and their effect on tidal energy management. 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spelling v2 63967 2023-07-27 Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean 7032d5a521c181cea18dbb759e1ffdeb 0000-0002-6820-1680 Michael Togneri Michael Togneri true false 2023-07-27 MECH 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. Journal Article Journal of Marine Science and Engineering 11 5 1046 MDPI AG 2077-1312 Tidal stream turbine; stochastic O&amp;M model; corrective and planned maintenance; annual failure rate; downtime; net income 13 5 2023 2023-05-13 10.3390/jmse11051046 http://dx.doi.org/10.3390/jmse11051046 COLLEGE NANME Mechanical Engineering COLLEGE CODE MECH Swansea University Another institution paid the OA fee This study was supported by the 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. The APC was funded by Selkie 81874. 2023-09-07T13:25:39.6222895 2023-07-27T11:24:50.3664147 Faculty of Science and Engineering School of Engineering and Applied Sciences - Materials Science and Engineering Mitra Kamidelivand 0000-0002-3888-1769 1 Peter Deeney 2 Fiona Devoy McAuliffe 3 Kevin Leyne 4 Michael Togneri 0000-0002-6820-1680 5 Jimmy Murphy 0000-0001-9814-1255 6 63967__28320__a4e5b02dc7e14b1ea791efef11009871.pdf 63967.VOR.pdf 2023-08-18T13:20:06.3273844 Output 3442515 application/pdf Version of Record true © 2023 by the authors. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license. true eng https://creativecommons.org/licenses/by/4.0/
title Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
spellingShingle Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
Michael Togneri
title_short Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
title_full Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
title_fullStr Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
title_full_unstemmed Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
title_sort Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
author_id_str_mv 7032d5a521c181cea18dbb759e1ffdeb
author_id_fullname_str_mv 7032d5a521c181cea18dbb759e1ffdeb_***_Michael Togneri
author Michael Togneri
author2 Mitra Kamidelivand
Peter Deeney
Fiona Devoy McAuliffe
Kevin Leyne
Michael Togneri
Jimmy Murphy
format Journal article
container_title Journal of Marine Science and Engineering
container_volume 11
container_issue 5
container_start_page 1046
publishDate 2023
institution Swansea University
issn 2077-1312
doi_str_mv 10.3390/jmse11051046
publisher MDPI AG
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Engineering and Applied Sciences - Materials Science and Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Engineering and Applied Sciences - Materials Science and Engineering
url http://dx.doi.org/10.3390/jmse11051046
document_store_str 1
active_str 0
description 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.
published_date 2023-05-13T13:25:41Z
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