Abstract
A commercial wave energy system will typically consist of many interacting wave energy converters installed in a park. The performance of the park depends on many parameters such as array layout and number of devices, and may be evaluated based on different measures such as energy absorption, electricity quality, or cost of the produced electricity. As wave energy is currently at the stage where several large-scale installations are being planned, optimizing the park performance is an active research area, with many important contributions in the past few years. Here, this research is reviewed, with focus on identifying the current state-of-the-art, analyzing how realistic, reliable and relevant the methods and the results are, and outlining directions for future research.
Highlights
Wave energy has the potential to contribute significantly to the world’s electricity consumption
There is some progress in studying the hydrodynamical interactions in wave energy arrays using non-linear potential theory and even computational fluid dynamics methods (Devolder et al, 2017, 2018), the optimization of arrays typically involves a large number of evaluations
We have reviewed the state of the art of wave energy park optimization, with a focus on developments in the last five years
Summary
Wave energy has the potential to contribute significantly to the world’s electricity consumption. Interaction between the devices will affect the full performance, reliability, cost, and life-time of the park. Many parameters will affect the interaction and the park performance, reliability, and costs. The number of devices and their separation distance, the park layout, mooring configurations, electrical and power take-off (PTO) systems, rated power of individual devices, constraints of subsystems, and so on—all parameters should be tuned to obtain the optimal design of the wave energy park before installation. Wave direction and variability, water depth, currents, and distance from shore are some factors that all affect the wave energy system, and different sites and environmental conditions will require different optimal solutions. Optimization is the procedure of identifying the best solution from some set of available alternatives, under given constraints. In a more complex situation, optimization includes finding the best available values of some objective functions given a defined parameter space
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