Offshore wind turbine maintenance access: a closed-form probabilistic method for calculating delays caused by sea-state

被引:29
作者
Feuchtwang, Julian [1 ]
Infield, David [1 ]
机构
[1] Univ Strathclyde, Inst Energy & Environm, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland
基金
英国工程与自然科学研究理事会;
关键词
offshore maintenance; access delay; sea-state; probability; SPEED PERSISTENCE STATISTICS; WAVE HEIGHT;
D O I
10.1002/we.1539
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
080707 [能源环境工程]; 082001 [油气井工程];
摘要
Offshore wind energy is fast developing and with it a growing understanding of the challenge to maintain high levels of turbine availability and to keep down maintenance costs. Loss of turbine availability is, of course, related to component failure rate but is also highly dependent on access to the turbine, and this in turn reflects the wind and sea conditions occurring at the site as well as the operational limits of the vessels and plant being used.A computational approach has been developed on the basis of probability calculations, enabling very fast estimates to be made of offshore access probabilities and expected delays. These can be used directly to explore the impact of different parameters such as key component reliability, time to repair and access constraints at specific offshore sites. The methodology used is derived and explained in detail. Different numerical techniques are available to calculate the probability distributions and their parameters as required by the methodology. These are presented and contrasted. Example applications of the methodology are provided for two specific sites that provide a degree of validation and also allow comparison of the different numerical approaches to probability distribution identification. It is shown that the accessibility calculated using the developed method is believable in the context of operational access data for the sites in question. Copyright (c) 2012 John Wiley & Sons, Ltd.
引用
收藏
页码:1049 / 1066
页数:18
相关论文
共 23 条
[1]
[Anonymous], 2008, 09DP45 URN
[2]
[Anonymous], 2007, 09P45 URN
[3]
[Anonymous], 2007, 08P48 URN
[4]
Braam H, ECNC05060 ECN
[5]
[6]
ECN Wind Energy Industrial Support (EWIS), ECN O M TOOL
[7]
ECN Wind Energy Industrial Support (EWIS), ECN OMCE TOOL
[8]
Feuchtwang JB, 2011, EWEA OFFSH WIND C AM
[9]
Feuchtwang JB, 2009, EUR OFFSH WIND C STO
[10]
Fugro GEOS, 2001, 01030 OTO