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

Eduardo Gorbeña, André Pacheco, Theocharis Plomaritis, Óscar Ferreira, Cláudia Sequeira, Theo Moura.

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

ICCS 2019: Computational Science – ICCS 2019 pp 548-561

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.

 

https://link.springer.com/chapter/10.1007%2F978-3-030-22744-9_43