Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
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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Online Access: | https://doi.org/10.3390/jmse11051046 |
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ftmdpi:oai:mdpi.com:/2077-1312/11/5/1046/ 2023-08-20T04:08:41+02:00 Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean Mitra Kamidelivand Peter Deeney Fiona Devoy McAuliffe Kevin Leyne Michael Togneri Jimmy Murphy agris 2023-05-13 application/pdf https://doi.org/10.3390/jmse11051046 EN eng Multidisciplinary Digital Publishing Institute Marine Energy https://dx.doi.org/10.3390/jmse11051046 https://creativecommons.org/licenses/by/4.0/ Journal of Marine Science and Engineering; Volume 11; Issue 5; Pages: 1046 tidal stream turbine stochastic O& M model corrective and planned maintenance annual failure rate downtime net income Text 2023 ftmdpi https://doi.org/10.3390/jmse11051046 2023-08-01T10:03:47Z 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. Text Northeast Atlantic MDPI Open Access Publishing Journal of Marine Science and Engineering 11 5 1046 |
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Open Polar |
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MDPI Open Access Publishing |
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ftmdpi |
language |
English |
topic |
tidal stream turbine stochastic O& M model corrective and planned maintenance annual failure rate downtime net income |
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tidal stream turbine stochastic O& M model corrective and planned maintenance annual failure rate downtime net income Mitra Kamidelivand Peter Deeney Fiona Devoy McAuliffe Kevin Leyne Michael Togneri Jimmy Murphy Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean |
topic_facet |
tidal stream turbine stochastic O& M model corrective and planned maintenance annual failure rate downtime net income |
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. |
format |
Text |
author |
Mitra Kamidelivand Peter Deeney Fiona Devoy McAuliffe Kevin Leyne Michael Togneri Jimmy Murphy |
author_facet |
Mitra Kamidelivand Peter Deeney Fiona Devoy McAuliffe Kevin Leyne Michael Togneri Jimmy Murphy |
author_sort |
Mitra Kamidelivand |
title |
Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean |
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 |
publisher |
Multidisciplinary Digital Publishing Institute |
publishDate |
2023 |
url |
https://doi.org/10.3390/jmse11051046 |
op_coverage |
agris |
genre |
Northeast Atlantic |
genre_facet |
Northeast Atlantic |
op_source |
Journal of Marine Science and Engineering; Volume 11; Issue 5; Pages: 1046 |
op_relation |
Marine Energy https://dx.doi.org/10.3390/jmse11051046 |
op_rights |
https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.3390/jmse11051046 |
container_title |
Journal of Marine Science and Engineering |
container_volume |
11 |
container_issue |
5 |
container_start_page |
1046 |
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1774721096726085632 |