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O&M Models for Ocean Energy Converters: Calibrating through Real Sea Data

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School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
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School of Engineering, Institute for Infrastructure and Environment, The University of Edinburgh, Edinburgh EH9 3JG, UK
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Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
*
Author to whom correspondence should be addressed.
Energies 2019, 12(13), 2475; https://doi.org/10.3390/en12132475
Received: 15 May 2019 / Revised: 17 June 2019 / Accepted: 25 June 2019 / Published: 27 June 2019
(This article belongs to the Section Wind, Wave and Tidal Energy)
Of the cost centres that combine to result in Levelised Cost of Energy (LCOE), O&M costs play a significant part. Several developers have calculated component costs, demonstrating how they can become commercially competitive with other forms of renewable energy. However, there are uncertainties relating to the O&M figures that can only be reduced through lessons learned at sea. This work presents an O&M model calibrated with data from real sea experience of a wave energy device deployed at the Biscay Marine energy Platform (BiMEP): the OPERA O&M Model. Two additional case studies, utilising two other O&M calculation methodologies, are presented for comparison with the OPERA O&M Model. The second case study assumes the inexistence of an O&M model, utilising a Simplified Approach. The third case study applies DTOcean’s (a design tool for ocean energy arrays) O&M module. The results illustrate the potential advantages of utilising real sea data for the calibration and development of an O&M model. The Simplified Approach was observed to overestimate LCOE when compared to the OPERA O&M Model. This work also shows that O&M models can be used for the definition of optimal maintenance plans to assist with OPEX reduction. View Full-Text
Keywords: ocean energy; real sea experience; operating data; economic model; O&M model; array modelling tool ocean energy; real sea experience; operating data; economic model; O&M model; array modelling tool
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Bloise Thomaz, T.; Crooks, D.; Medina-Lopez, E.; van Velzen, L.; Jeffrey, H.; Lopez Mendia, J.; Rodriguez Arias, R.; Ruiz Minguela, P. O&M Models for Ocean Energy Converters: Calibrating through Real Sea Data. Energies 2019, 12, 2475.

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