LAPSE:2023.21107
Published Article

LAPSE:2023.21107
O&M Models for Ocean Energy Converters: Calibrating through Real Sea Data
March 21, 2023
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.
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.
Record ID
Keywords
array modelling tool, economic model, M model, O&, ocean energy, operating data, real sea experience
Subject
Suggested Citation
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. (2023). LAPSE:2023.21107
Author Affiliations
Bloise Thomaz T: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Crooks D: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Medina-Lopez E: School of Engineering, Institute for Infrastructure and Environment, The University of Edinburgh, Edinburgh EH9 3JG, UK
van Velzen L: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Jeffrey H: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Lopez Mendia J: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Rodriguez Arias R: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Ruiz Minguela P: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Crooks D: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Medina-Lopez E: School of Engineering, Institute for Infrastructure and Environment, The University of Edinburgh, Edinburgh EH9 3JG, UK
van Velzen L: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Jeffrey H: School of Engineering, Institute for Energy Systems, The University of Edinburgh, Edinburgh EH9 3JG, UK
Lopez Mendia J: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Rodriguez Arias R: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Ruiz Minguela P: Tecnalia, Energy and Environment Division, Parque Tecnológico de Bizkaia, E48160 Derio, Bizkaia, Spain
Journal Name
Energies
Volume
12
Issue
13
Article Number
E2475
Year
2019
Publication Date
2019-06-27
ISSN
1996-1073
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PII: en12132475, Publication Type: Journal Article
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LAPSE:2023.21107
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https://doi.org/10.3390/en12132475
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