SEM-REV energy site extreme wave prediction

Oleg Gaidai, Chunyan Ji, Christina Kalogeri and Junliang Gao

Renewable Energy, 2017, vol. 101, issue C, 894-899

Abstract: Accurate estimation of extreme wave conditions is critical for offshore renewable energy activities and applications. Wave power is the transport of energy by wind waves, and the capture of that energy to do useful work. Wave energy converter (WEC) devices are designed to sustain the wave-induced loads that they experience during both operational and survival sea states. The extreme values of these forces are often a key cost driver for WEC designs. These extreme loads often occur during severe storms; therefore careful examination of harsh wave conditions during the device design process is needed. Consequently the development of a specific extreme condition modeling method is essential.

Keywords: Wave height statistics; Probability; SEM-REV; Extreme value statistics; Gumbel distribution; Wave energy (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:101:y:2017:i:c:p:894-899

DOI: 10.1016/j.renene.2016.09.053

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