A new insight into the Position Optimization of Wave Energy Converters by a Hybrid Local Search
Mehdi Neshat, Bradley Alexander, Nataliia Sergiienko, Markus Wagner

TL;DR
This paper introduces a hybrid local search method combined with numerical optimization to optimize the placement of wave energy converters, significantly improving power output in various wave scenarios.
Contribution
A novel hybrid optimization approach for buoy placement in wave farms that outperforms existing methods in solution quality and convergence speed.
Findings
Outperforms state-of-the-art heuristic methods in all tested scenarios.
Achieves higher power output through optimized buoy placement.
Demonstrates effectiveness across diverse wave climates.
Abstract
Renewable energy, such as ocean wave energy, plays a pivotal role in addressing the tremendous growth of global energy demand. It is expected that wave energy will be one of the fastest-growing energy resources in the next decade, offering an enormous potential source of sustainable energy. This research investigates the placement optimization of oscillating buoy-type wave energy converters (WEC). The design of a wave farm consisting of an array of fully submerged three-tether buoys is evaluated. In a wave farm, buoy positions have a notable impact on the farm's output. Optimizing the buoy positions is a challenging research problem because of very complex interactions (constructive and destructive) between buoys. The main purpose of this research is maximizing the power output of the farm through the placement of buoys in a size-constrained environment. This paper proposes a new hybrid…
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Taxonomy
TopicsWave and Wind Energy Systems
