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Surrogate-Based Optimization of Tidal Turbine Arrays: A Case Study for the Faro-Olhão Inlet
Author(s) -
Eduardo González-Gorbeña,
A. Pacheco,
Theocharis A. Plomaritis,
Óscar Ferreira,
C. Sequeira,
Theo Moura
Publication year - 2019
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/978-3-030-22744-9_43
Subject(s) - inlet , surrogate model , turbine , constraint (computer aided design) , tidal power , marine engineering , mathematical optimization , engineering , mathematics , mechanical engineering
This paper presents a study for estimating the size of a tidal turbine array for the Faro-Olhao 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.

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