Reference Cases for Verification of Operation and Maintenance Simulation Models for Offshore Wind Farms

被引:89
作者
Dinwoodie, Iain [1 ]
Endrerud, Ole-Erik V. [2 ]
Hofmann, Matthias [3 ]
Martin, Rebecca [4 ]
Sperstad, Iver Bakken [3 ]
机构
[1] Univ Strathclyde, Ctr Doctoral Training, 204 George St, Glasgow G1 1XW, Lanark, Scotland
[2] Univ Stavanger, N-4036 Stavanger, Norway
[3] SINTEF Energy Res, NO-7465 Trondheim, Norway
[4] EDF Energy R&D UK Ctr Ltd, London SW1E 5JL, England
基金
英国工程与自然科学研究理事会;
关键词
D O I
10.1260/0309-524X.39.1.1
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 [动力工程及工程热物理]; 0820 [石油与天然气工程];
摘要
Due to lack of operating experience in the field of offshore wind energy and large costs associated with maintaining offshore wind farms, there is a need to develop accurate operation and maintenance models for strategic planning purposes. This paper provides an approach for verifying such simulation models and demonstrates it by describing the verification process for four models. A reference offshore wind farm is defined and simulated using these models to provide test cases and benchmark results for verification for wind farm availability and O&M costs. This paper also identifies key modelling assumptions that impact the results. The calculated availabilities for the four models show good agreement apart from cases where maintenance resources are heavily constrained. There are also larger discrepancies between the cost results. All the differences in the results can be explained by different modelling assumptions. Therefore, the models can be regarded as verified based on the presented approach.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 20 条
[1]
[Anonymous], [No title captured]
[2]
BMU and PTJ, FINO 1 MET DAT 2004
[3]
Development of a Combined Operational and Strategic Decision Support Model for Offshore Wind [J].
Dinwoodie, Iain ;
McMillan, David ;
Revie, Matthew ;
Lazakis, Iraklis ;
Dalgic, Yalcin .
DEEPWIND'2013 - SELECTED PAPERS FROM 10TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, 2013, 35 :157-166
[4]
A PROBABILISTIC APPROACH TO INTRODUCE RISK MEASUREMENT INDICATORS TO AN OFFSHORE WIND PROJECT EVALUATION - IMPROVEMENT TO AN EXISTING TOOL ECUME [J].
Douard, Fanny ;
Domecq, Celia ;
Lair, William .
SELECTED PAPERS FROM DEEP SEA OFFSHORE WIND R&D CONFERENCE, 2012, 24 :255-262
[5]
EWEA Offshore, 2012, EUR OFFSH WIND IND K
[6]
Wind turbine downtime and its importance for offshore deployment [J].
Faulstich, S. ;
Hahn, B. ;
Tavner, P. J. .
WIND ENERGY, 2011, 14 (03) :327-337
[7]
Offshore wind turbine maintenance access: a closed-form probabilistic method for calculating delays caused by sea-state [J].
Feuchtwang, Julian ;
Infield, David .
WIND ENERGY, 2013, 16 (07) :1049-1066
[8]
Hofmann M., 2014, A7374 TR SINTEF
[9]
NOWIcob - A tool for reducing the maintenance costs of offshore wind farms [J].
Hofmann, Matthias ;
Sperstad, Iver Bakken .
DEEPWIND'2013 - SELECTED PAPERS FROM 10TH DEEP SEA OFFSHORE WIND R&D CONFERENCE, 2013, 35 :177-186
[10]
A Review of Decision Support Models for Offshore Wind Farms with an Emphasis on Operation and Maintenance Strategies [J].
Hofmann, Matthias .
WIND ENGINEERING, 2011, 35 (01) :1-15