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Scenario Analysis of Cost-Effectiveness of Maintenance Strategies for Fixed Tidal Stream Turbines in the Atlantic Ocean
,
Peter Deeney,
Fiona Devoy McAuliffe,
Kevin Leyne,
Michael Togneri ,
Jimmy Murphy
Journal of Marine Science and Engineering, Volume: 11, Issue: 5, Start page: 1046
Swansea University Author:
Michael Togneri
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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...
| Published in: | Journal of Marine Science and Engineering |
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| ISSN: | 2077-1312 |
| Published: |
MDPI AG
2023
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa63967 |
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| 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. |
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| Keywords: |
Tidal stream turbine; stochastic O&M model; corrective and planned maintenance; annual failure rate; downtime; net income |
| College: |
Faculty of Science and Engineering |
| Funders: |
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. |
| Issue: |
5 |
| Start Page: |
1046 |