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Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource

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  • Daniel Clemente

    (CIIMAR—Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, s/n, 4450-208 Matosinhos, Portugal
    Department of Civil Engineering, FEUP—Faculty of Engineering, University of Porto, rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal)

  • Felipe Teixeira-Duarte

    (CIIMAR—Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, s/n, 4450-208 Matosinhos, Portugal
    Department of Civil Engineering, FEUP—Faculty of Engineering, University of Porto, rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal)

  • Paulo Rosa-Santos

    (CIIMAR—Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, s/n, 4450-208 Matosinhos, Portugal
    Department of Civil Engineering, FEUP—Faculty of Engineering, University of Porto, rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal)

  • Francisco Taveira-Pinto

    (CIIMAR—Interdisciplinary Centre of Marine and Environmental Research, University of Porto, Terminal de Cruzeiros do Porto de Leixões, Avenida General Norton de Matos, s/n, 4450-208 Matosinhos, Portugal
    Department of Civil Engineering, FEUP—Faculty of Engineering, University of Porto, rua Dr. Roberto Frias, s/n, 4200-465 Porto, Portugal)

Abstract

The wave energy sector has not reached a sufficient level of maturity for commercial competitiveness, thus requiring further efforts towards optimizing existing technologies and making wave energy a viable alternative to bolster energy mixes. Usually, these efforts are supported by physical and numerical modelling of complex physical phenomena, which require extensive resources and time to obtain reliable, yet limited results. To complement these approaches, artificial-intelligence-based techniques (AI) are gaining increasing interest, given their computational speed and capability of searching large solution spaces and/or identifying key study patterns. Under this scope, this paper presents a comprehensive review on the use of computational systems and AI-based techniques to wave climate and energy resource studies. The paper reviews different optimization methods, analyses their application to extreme events and examines their use in wave propagation and forecasting, which are pivotal towards ensuring survivability and assessing the local wave operational conditions, respectively. The use of AI has shown promising results in improving the efficiency, accuracy and reliability of wave predictions and can enable a more thorough and automated sweep of alternative design solutions, within a more reasonable timeframe and at a lower computational cost. However, the particularities of each case study still limit generalizations, although some application patterns have been identified—such as the frequent use of neural networks.

Suggested Citation

  • Daniel Clemente & Felipe Teixeira-Duarte & Paulo Rosa-Santos & Francisco Taveira-Pinto, 2023. "Advancements on Optimization Algorithms Applied to Wave Energy Assessment: An Overview on Wave Climate and Energy Resource," Energies, MDPI, vol. 16(12), pages 1-28, June.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:12:p:4660-:d:1169172
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    References listed on IDEAS

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