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

Tianna Bloise Thomaz, David Crooks, Encarni Medina-Lopez, Leonore van Velzen, Henry Jeffrey, Joseba Lopez Mendia, Raul Rodriguez Arias and Pablo Ruiz Minguela
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Tianna Bloise Thomaz: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
David Crooks: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Encarni Medina-Lopez: School of Engineering, Institute for Infrastructure and Environment, The University of Edinburgh, Edinburgh EH9 3JG, UK
Leonore van Velzen: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Henry Jeffrey: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Joseba Lopez Mendia: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Raul Rodriguez Arias: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Pablo Ruiz Minguela: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain

Energies, 2019, vol. 12, issue 13, 1-20

Abstract: 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.

Keywords: ocean energy; real sea experience; operating data; economic model; O&M model; array modelling tool (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6)

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