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Reliability-based design optimization in offshore renewable energy systems

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  • Clark, Caitlyn E.
  • DuPont, Bryony

Abstract

Offshore wind farm operations and maintenance costs currently total 6 m€/year, or 25–28% of total costs. For wave and tidal energy converters, this cost is projected to be twice that of offshore wind, but has high levels of uncertainty. As the wave and tidal energy industries mature, decreasing O&M costs through reliability-based design optimization is critical to increasing feasibility and competitiveness with other energy technologies. In this paper, we will synthesize existing information on reliability-based optimization in systems analogous to offshore renewable energy systems. We will conclude by highlighting opportunities for future work in this field.

Suggested Citation

  • Clark, Caitlyn E. & DuPont, Bryony, 2018. "Reliability-based design optimization in offshore renewable energy systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 390-400.
    • Handle: RePEc:eee:rensus:v:97:y:2018:i:c:p:390-400
    DOI: 10.1016/j.rser.2018.08.030
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    Cited by:

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    3. Meng, Debiao & Yang, Shiyuan & Jesus, Abílio M.P. de & Zhu, Shun-Peng, 2023. "A novel Kriging-model-assisted reliability-based multidisciplinary design optimization strategy and its application in the offshore wind turbine tower," Renewable Energy, Elsevier, vol. 203(C), pages 407-420.
    4. Teixeira-Duarte, Felipe & Clemente, Daniel & Giannini, Gianmaria & Rosa-Santos, Paulo & Taveira-Pinto, Francisco, 2022. "Review on layout optimization strategies of offshore parks for wave energy converters," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    5. Tsao, Yu-Chung & Thanh, Vo-Van, 2021. "Toward blockchain-based renewable energy microgrid design considering default risk and demand uncertainty," Renewable Energy, Elsevier, vol. 163(C), pages 870-881.
    6. Dominik McInnis & Massimiliano Capezzali, 2020. "Managing Wind Turbine Generators with a Profit Maximized Approach," Sustainability, MDPI, vol. 12(17), pages 1-16, September.
    7. Osorio, Julian D. & Panwar, Mayank & Rivera-Alvarez, Alejandro & Chryssostomidis, Chrys & Hovsapian, Rob & Mohanpurkar, Manish & Chanda, Sayonsom & Williams, Herbert, 2020. "Enabling thermal efficiency improvement and waste heat recovery using liquid air harnessed from offshore renewable energy sources," Applied Energy, Elsevier, vol. 275(C).
    8. Rocchetta, Roberto & Crespo, Luis G. & Kenny, Sean P., 2020. "A scenario optimization approach to reliability-based design," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    9. Ramezani, Mahyar & Choe, Do-Eun & Heydarpour, Khashayar & Koo, Bonjun, 2023. "Uncertainty models for the structural design of floating offshore wind turbines: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 185(C).

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