CORE
🇺🇦
make metadata, not war
Services
Services overview
Explore all CORE services
Access to raw data
API
Dataset
FastSync
Content discovery
Recommender
Discovery
OAI identifiers
OAI Resolver
Managing content
Dashboard
Bespoke contracts
Consultancy services
Support us
Support us
Membership
Sponsorship
Community governance
Advisory Board
Board of supporters
Research network
About
About us
Our mission
Team
Blog
FAQs
Contact us
Extreme wind events in a complex maritime environment: Ways of quantification
Authors
P. Patlakas Galanis, G. Barranger, N. Kallos, G.
Publication date
1 January 2016
Publisher
Abstract
The rising demand of energy consumption in isolated locations such as in islands leads in the expansion of on and off-shore wind farms. The optimization of the structural design of wind turbines for such applications requires a risk analysis that is made by using the definition of return periods of extreme events with respect to the lifespan of wind turbines. This work is focusing on the estimation and the analysis of extreme wind speeds by means of the corresponding return periods based on two methods: the Peaks Over Threshold and the Annual Maxima. In addition, different methodologies and tools are tested in order to achieve more accurate results. The data used for the application are both: observations (measurements from Met Stations located on Greek islands) and modeling (a 10-year model hindcast database). The sensitivity test results were used to adjust the methodologies and make 50-year extreme wind speed maps for Northeast Mediterranean (focusing on the sea and the islands). The outcome should be used as a guide for on and off-shore wind energy applications and other construction activities. © 2015 Elsevier Ltd
Similar works
Full text
Available Versions
Pergamos : Unified Institutional Repository / Digital Library Platform of the National and Kapodistrian University of Athens
See this paper in CORE
Go to the repository landing page
Download from data provider
oai:lib.uoa.gr:uoadl:2977195
Last time updated on 10/02/2023