Titolo | Wave climate analysis for the design of wave energy harvesters in the Mediterranean Sea |
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Tipo di pubblicazione | Articolo su Rivista peer-reviewed |
Anno di Pubblicazione | 2015 |
Autori | Arena, F., Laface V., Malara G., Romolo A., Viviano A., Fiamma V., Sannino Gianmaria, and Carillo Adriana |
Rivista | Renewable Energy |
Volume | 77 |
Paginazione | 125-141 |
ISSN | 09601481 |
Parole chiave | Amount of information, climate conditions, data set, Design, energy efficiency, Energy harvesting, estimation method, extreme event, literature review, Long term statistics, long-term change, Mediterranean Sea, Ocean currents, Optimization, reliability analysis, Short-term statistics, Structural optimization, Structural reliability assessment, Theoretical aspects, wave climate, Wave direction, wave energy, Wave energy conversion, Wave energy harvesters, Wave energy statistics, Wave power |
Abstract | The objective of this paper is to provide a synthetic tool for determining expeditiously the wave climate conditions in several areas of the Mediterranean Sea. In the open literature, several authors have already conducted this specific analysis also for the area under examination in this paper. However, the need of discussing aspects strictly related to the design of wave energy harvesters is still relevant. Therefore, considering the variety of devices and the amount of information needed for conducting both an energy-wise optimization and a structural reliability assessment, a holistic view on the topic is provided. Specifically, the paper elucidates the theoretical aspects involved in the estimation of wave energy statistics and in the calculation of relevant return values. Next, it provides synthetic data representing the mean wave power and the return value of extreme events in several coastal areas of the Mediterranean Sea. In this regard, the paper complements information available in the open literature by discussing the influence of the directional pattern of the sea states in the determination of sea state statistics as well as in the design of a wave energy harvester. © 2014 Elsevier Ltd. |
Note | cited By 13 |
URL | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84918817157&doi=10.1016%2fj.renene.2014.12.002&partnerID=40&md5=0f68a9062002506256958638277e91fb |
DOI | 10.1016/j.renene.2014.12.002 |
Citation Key | Arena2015125 |