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Layouts for ocean wave energy farms: Models, properties, and optimization

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  • Moarefdoost, M. Mohsen
  • Snyder, Lawrence V.
  • Alnajjab, Basel

Abstract

Renewable energy, such as wave energy, plays a significant role in sustainable energy development. Wave energy represents a large untapped source of energy worldwide and potentially offers a vast source of sustainable energy. We present models and a heuristic algorithm for choosing optimal locations of wave energy conversion (WEC) devices within an array, or wave farm. The location problem can have a significant impact on the total power of the farm due to the interactions among the incident ocean waves and the scattered and radiated waves produced by the WECs. Depending on the nature of the interference (constructive or destructive) among these waves, the wave energy entering multiple devices, and thus the power output of the farm, may be significantly larger or smaller than the energy that would be seen if the devices were operating in isolation. Our algorithm chooses WEC locations to maximize the performance of a wave farm as measured by a well known performance measure called the q-factor, which is the ratio of the power from an array of N WECs to the power from N WECs operating independently, under the point absorber approximation. We prove an analytical optimal solution for the 2-WEC problem and, based on the properties of the 2-WEC solution, we propose an iterative heuristic optimization algorithm for the general problem.

Suggested Citation

  • Moarefdoost, M. Mohsen & Snyder, Lawrence V. & Alnajjab, Basel, 2017. "Layouts for ocean wave energy farms: Models, properties, and optimization," Omega, Elsevier, vol. 66(PB), pages 185-194.
    • Handle: RePEc:eee:jomega:v:66:y:2017:i:pb:p:185-194
    DOI: 10.1016/j.omega.2016.06.004
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    References listed on IDEAS

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    1. Surrey, A. J. & Page, William, 1974. "Some issues in the current debate about energy and natural resources," Omega, Elsevier, vol. 2(5), pages 651-665, October.
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    Cited by:

    1. 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).
    2. Pau Mercadé Ruiz & Vincenzo Nava & Mathew B. R. Topper & Pablo Ruiz Minguela & Francesco Ferri & Jens Peter Kofoed, 2017. "Layout Optimisation of Wave Energy Converter Arrays," Energies, MDPI, vol. 10(9), pages 1-17, August.
    3. Yang, Bo & Wu, Shaocong & Zhang, Hao & Liu, Bingqiang & Shu, Hongchun & Shan, Jieshan & Ren, Yaxing & Yao, Wei, 2022. "Wave energy converter array layout optimization: A critical and comprehensive overview," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    4. 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).
    5. 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.
    6. Pau Mercadé Ruiz & Francesco Ferri & Jens Peter Kofoed, 2017. "Experimental Validation of a Wave Energy Converter Array Hydrodynamics Tool," Sustainability, MDPI, vol. 9(1), pages 1-20, January.
    7. Alireza Shadmani & Mohammad Reza Nikoo & Riyadh I. Al-Raoush & Nasrin Alamdari & Amir H. Gandomi, 2022. "The Optimal Configuration of Wave Energy Conversions Respective to the Nearshore Wave Energy Potential," Energies, MDPI, vol. 15(20), pages 1-29, October.

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