Abstract
In EWTEC2007 [1] a methodology was presented to evaluate the wave energy resource in coastal waters based on wave data obtained from numerical reanalysis of meteorological data. The proposed methodology had the following steps: (a) calibration of deep water wave reanalysis data; (b) sea states classification; (c) deep to shallow water propagation of the most representative sea states; (d) propagation of the complete series of sea states using an interpolation scheme; and (e) statistical characterization of the wave energy resources in the objective points.
In the new approach presented in this paper, some improvements to the different steps of the methodology have been incorporated. A maximum-dissimilarity algorithm has been applied to select a reduced number of sea states which are more appropriate for transferring the reanalysis database from deep water to shallow water.
Besides, wind energy generation has also been considered to improve the definition of local wave energy resources by incorporating wind data in the propagation of each sea state. Finally, a scattered data interpolation based on Radial Basic Function has been used to propagate the wave climate.
The proposed methodology has been calibrated and validated using satellite and buoy wave data for the wave resource analysis of the Asturias coast (North Spain). Some results of that analysis are finally presented.