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Surrogate-Based Optimization of Tidal Turbine Arrays: A Case Study for the Faro-Olhão Inlet

  • Eduardo González-GorbeñaEmail author
  • André Pacheco
  • Theocharis A. Plomaritis
  • Óscar Ferreira
  • Cláudia Sequeira
  • Theo Moura
Conference paper
First Online:
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 11538)

Abstract

This paper presents a study for estimating the size of a tidal turbine array for the Faro-Olhão Inlet (Potugal) using a surrogate optimization approach. The method compromises problem formulation, hydro-morphodynamic modelling, surrogate construction and validation, and constraint optimization. A total of 26 surrogates were built using linear RBFs as a function of two design variables: number of rows in the array and Tidal Energy Converters (TECs) per row. Surrogates describe array performance and environmental effects associated with hydrodynamic and morphological aspects of the multi inlet lagoon. After validation, surrogate models were used to formulate a constraint optimization model. Results evidence that the largest array size that satisfies performance and environmental constraints is made of 3 rows and 10 TECs per row.

Keywords

Hydro-morphodynamic modelling Marine renewable energy Ria Formosa 
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Notes

Acknowledgements

Eduardo González-Gorbeña has received funding for the OpTiCA project (http://msca-optica.eu/) from the Marie Skłodowska-Curie Actions of the European Union’s H2020-MSCA-IF-EF-RI-2016/GA#: 748747. The paper is a contribution to the SCORE project, funded by the Portuguese Foundation for Science and Technology (FCT–PTDC/AAG-TEC/1710/2014). André Pacheco was supported by the Portuguese Foundation for Science and Technology under the Portuguese Researchers’ Programme 2014 entitled “Exploring new concepts for extracting energy from tides” (IF/00286/2014/CP1234).

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© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Centre for Marine and Environmental ResearchUniversidade do AlgarveFaroPortugal
  2. 2.Faculty of Marine and Environmental Science, Department of Earth ScienceUniversidad de CádizCádizSpain

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