Towards a risk-based decision support for offshore wind turbine installation and operation & maintenance

被引:21
作者
Gintautas, Tomas [1 ]
Sorensen, John Dalsgaard [1 ]
Vatne, Sigrid Ringdalen [2 ]
机构
[1] Aalborg Univ, Dept Civil Engn, Sofiendalsvej 11, Aalborg, Denmark
[2] MARINTEK, Otto Nielsens Veg 10, Trondheim, Norway
来源
13TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, EERA DEEPWIND'2016 | 2016年 / 94卷
关键词
decision support; offshore; wind turbine; marine operations; installation; risk; probability; weather window;
D O I
10.1016/j.egypro.2016.09.225
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
Costs of operation & maintenance, assembly, transport and installation of offshore wind turbines contribute significantly to the total cost of offshore wind farm. These operations are mostly carried out by specific ships that have to be hired for the operational phase and for duration of installation process, respectively. Duration, and therefore ship hiring costs is, among others, driven by waiting time for weather windows for weather-sensitive operations. Today, state of the art decision making criteria for weather-sensitive operations are restrictions to the significant wave height and the average wind velocity at reference height. However, actual limitations are physical, related to response of equipment used e.g. crane wire tension, rotor assembly motions while lifting, etc. Transition from weather condition limits to limits on physical equipment response in decision making would improve weather window predictions, potentially reducing cost of offshore wind energy. This paper presents a novel approach to weather window estimation using ensemble weather forecasts and statistical analysis of simulated installation equipment response. (C) 2016 The Authors. Published by Elsevier Ltd.
引用
收藏
页码:207 / 217
页数:11
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