TY - JOUR
TI - Assessing the European offshore wind and wave energy resource for combined exploitation
AU - Kalogeri, C.
AU - Galanis, G.
AU - Spyrou, C.
AU - Diamantis, D.
AU - Baladima, F.
AU - Koukoula, M.
AU - Kallos, G.
JO - Renewable Energy
PY - 2017
VL - 101
TODO - null
SP - 244-264
PB - ELSEVIER SCIENCE LTD.
SN - 0960-1481
TODO - 10.1016/j.renene.2016.08.010
TODO - Energy conversion;  Energy resources;  Wave energy conversion;  Wind power, Combined exploitation;  Deep offshore;  Energy conversion systems;  High-resolution numerical models;  Off-shore wind energy;  Resource characterizations;  Wave energy;  Wave energy resources, Renewable energy resources, energy efficiency;  energy resource;  exploitation;  numerical model;  offshoring;  open ocean;  power generation;  renewable resource;  synergism;  wave energy;  wind power, Europe
TODO - The main concern when utilizing renewable energy resources is their intermittency and variability. One way to deal with this shortcoming is to harvest energy from complementary sources. In this study, wind and wave energy were selected as such and further analyzed in terms of availability, variability, coherence, correlation and potential impact from extreme values. This resource characterization was performed in different timescales, during a 10-year period, using high resolution numerical modeling systems. Based on the results of this analysis, the most suitable areas for combined exploitation were identified and the possible merits from this synergy were pin-pointed and discussed. It was indicated that the most suitable areas for combined use are the western offshore areas of Europe. The wind and wave fields in these open sea areas reveal the lowest correlation in the examined field in contrast to those located in semi-enclosed and enclosed basins that exhibit the highest ones. The joint exploitation in the former regions gives a less variable power output with considerable fewer hours of zero production. Moreover, the suitable energy conversion system for a specific area is strongly dependent on the local characteristics of the available resource. © 2016 Elsevier Ltd
ER -