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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Tianna Bloise Thomaz & David Crooks & Encarni Medina-Lopez & Leonore van Velzen & Henry Jeffrey & Joseba Lopez Mendia & Raul Rodriguez Arias & Pablo Ruiz Minguela, 2019. "O&M Models for Ocean Energy Converters: Calibrating through Real Sea Data," Energies, MDPI, vol. 12(13), pages 1-20, June.
    • Handle: RePEc:gam:jeners:v:12:y:2019:i:13:p:2475-:d:243351
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    References listed on IDEAS

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    1. Thomas Michael Welte & Iver Bakken Sperstad & Espen Høegh Sørum & Magne Lorentzen Kolstad, 2017. "Integration of Degradation Processes in a Strategic Offshore Wind Farm O&M Simulation Model," Energies, MDPI, vol. 10(7), pages 1-18, July.
    2. Yuri Merizalde & Luis Hernández-Callejo & Oscar Duque-Perez & Víctor Alonso-Gómez, 2019. "Maintenance Models Applied to Wind Turbines. A Comprehensive Overview," Energies, MDPI, vol. 12(2), pages 1-41, January.
    3. Guanche, R. & de Andrés, A.D. & Simal, P.D. & Vidal, C. & Losada, I.J., 2014. "Uncertainty analysis of wave energy farms financial indicators," Renewable Energy, Elsevier, vol. 68(C), pages 570-580.
    4. O'Connor, M. & Lewis, T. & Dalton, G., 2013. "Operational expenditure costs for wave energy projects and impacts on financial returns," Renewable Energy, Elsevier, vol. 50(C), pages 1119-1131.
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    Cited by:

    1. Kushal A. Prasad & Aneesh A. Chand & Nallapaneni Manoj Kumar & Sumesh Narayan & Kabir A. Mamun, 2022. "A Critical Review of Power Take-Off Wave Energy Technology Leading to the Conceptual Design of a Novel Wave-Plus-Photon Energy Harvester for Island/Coastal Communities’ Energy Needs," Sustainability, MDPI, vol. 14(4), pages 1-55, February.
    2. He, Guanghua & Luan, Zhengxiao & Zhang, Wei & He, Runhua & Liu, Chaogang & Yang, Kaibo & Yang, Changhao & Jing, Penglin & Zhang, Zhigang, 2023. "Review on research approaches for multi-point absorber wave energy converters," Renewable Energy, Elsevier, vol. 218(C).
    3. Peña-Sanchez, Yerai & García-Violini, Demián & Penalba, Markel & Zarketa-Astigarraga, Ander & Ferri, Francesco & Nava, Vincenzo & Ringwood, John V., 2024. "Control co-design for wave energy farms: Optimisation of array layout and mooring configuration in a realistic wave climate," Renewable Energy, Elsevier, vol. 227(C).
    4. Chenglong Guo & Wanan Sheng & Dakshina G. De Silva & George Aggidis, 2023. "A Review of the Levelized Cost of Wave Energy Based on a Techno-Economic Model," Energies, MDPI, vol. 16(5), pages 1-30, February.
    5. Pennock, Shona & Vanegas-Cantarero, María M. & Bloise-Thomaz, Tianna & Jeffrey, Henry & Dickson, Matthew J., 2022. "Life cycle assessment of a point-absorber wave energy array," Renewable Energy, Elsevier, vol. 190(C), pages 1078-1088.
    6. Shona Pennock & Anna Garcia-Teruel & Donald R. Noble & Owain Roberts & Adrian de Andres & Charlotte Cochrane & Henry Jeffrey, 2022. "Deriving Current Cost Requirements from Future Targets: Case Studies for Emerging Offshore Renewable Energy Technologies," Energies, MDPI, vol. 15(5), pages 1-19, February.

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