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.
Original language | English |
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Article number | 2475 |
Pages (from-to) | 2475 |
Number of pages | 1 |
Journal | Energies |
Volume | 12 |
Issue number | 13 |
DOIs | |
Publication status | Published - 2019 |
Keywords
- Ocean energy
- Real sea experience
- Operating data
- Economic model
- O&M model
- Array modelling tool
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/745862/EU/Enabling Future Arrays in Tidal/EnFAIT
- info:eu-repo/grantAgreement/EC/H2020/654444/EU/Open Sea Operating Experience to Reduce Wave Energy Cost/OPERA
- Funding Info
- The authors are grateful to the European commission for funding the OPERA and EnFAIT projects as part of the Horizon 2020 framework. The authors also thankful to Oceantec-Idom for providing feedback to OPERA model’s inputs. A special thanks to Shona Pennock and Donald Noble for their diligent proofreading of this paper.