Abstract
The design of optimal wave energy parks, namely, arrays of devices known as wave energy converters (WECs) that extract energy from water waves, is an important consideration for the renewable transition. In this paper, the problem of simultaneously optimising the layout and device parameters of a wave energy park is considered within the framework of linear water wave theory. Each WEC is modelled as a heaving truncated cylinder coupled to a spring-damper power take-off. The single-WEC scattering problem is solved using an integral equation/Galerkin method, and interactions between the WECs are solved via a self-consistent multiple scattering theory. The layout of the array and power take-off parameters of its constituent devices are simultaneously optimised using a genetic algorithm, with the goal of maximising energy absorption under a unidirectional, irregular sea described by a Pierson--Moskowitz spectrum. When constrained to a rectangular bounding box that is elongated in the direction of wave propagation, the optimal arrays consist of graded pseudo-line arrays when the number of WECs is sufficiently large. Moreover, low-frequency waves propagate further into the array than high-frequency waves, which is indicative of rainbow absorption, namely, the effect wherein waves spatially separate in a graded array based on their frequency, and are preferentially absorbed at these locations. Arrays optimised for a square bounding box did not show strong evidence of grading or rainbow reflection, which indicates that more complicated interaction effects are present.