Assessing the effectiveness of a global optimum strategy within a tidal farm for power maximization

Brutto, Ottavio A. Lo; Guillou, Sylvain; Thiebot, Jérôme; Gualous, Hamid

doi:10.1016/j.apenergy.2017.07.090

Cited by 13 publications

(1 citation statement)

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“…Moreover, the wake of individual turbines interacts with each other, and the hydrodynamic structure is quite complex, which is considered as the main influence on array performance [11]. Thus, study on layout optimization of TCTA is a critical consideration in large-scale exploitation of tidal current energy, which 2 of 17 concerns the utilization efficiency of generating devices and the economic benefit of the tidal power station [12].…”

Section: Introductionmentioning

confidence: 99%

Layout Optimization of a Tidal Current Turbine Array Based on Quantum Discrete Particle Swarm Algorithm

Wu,

Kang

et al. 2023

JMSE

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This article focuses on the optimization of the layout of a tidal current turbine array (TCTA) using the Quantum Discrete Particle Swarm (QDPS) algorithm. The objective of the optimization is to balance the maximum energy output and minimum levelized cost of energy (LCOE). The optimization model proposed in this paper was constructed by combining a computational tidal model and the QDPS algorithm, which incorporate several advancements, including modeling of underwater terrain, obtaining tidal current field using high-fidelity ocean model, considering turbine properties, formulating partial influence of wakes on turbines, accounting for interactions between multiple wakes, modeling of safe operating distance, developing an LCOE model, and computing the sea space utilization area of a tidal farm. The proposed method was applied to optimize the layout of TCTA in a real waterway, which employed maximum tidal current fields during flooding and ebbing periods of spring tides as input for safety reasons. The results indicate that compared to a regular staggered layout, the total power generation improved by 19% and 16%, and the LCOE reduced by 12% and 15%, respectively, when the concluded optimized layout was utilized. Sea area decreased by 24% when LCOE was minimum. Overall, the proposed method has a better performance and can support the set selection as well as turbines placements of tidal current farms.

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Section: Introductionmentioning

confidence: 99%