OCEAN ENGINEERING | 卷:148 |
Offshore wind installation vessels - A comparative assessment for UK offshore rounds 1 and 2 | |
Article | |
Paterson, J.1  D'Amico, F.1  Thies, P. R.2  Kurt, R. E.3  Harrison, G.4  | |
[1] EDF Energy R&D UK Ctr, Interchange, 85 Stn Rd, London CR0 2AJ, England | |
[2] Univ Exeter, Coll Engn Math & Phys Sci, Cornwall Campus, Penryn TR10 9EZ, England | |
[3] Univ Strathclyde, Dept Naval Architecture Ocean & Marine Engn, Glasgow G4 0LZ, Lanark, Scotland | |
[4] Univ Edinburgh, Sch Engn, Inst Energy Syst, Edinburgh EH9 3JL, Midlothian, Scotland | |
关键词: Offshore wind installation; Vessel technology; Stochastic weather; Weather downtime; Installation risk; | |
DOI : 10.1016/j.oceaneng.2017.08.008 | |
来源: Elsevier | |
【 摘 要 】
Marine operations play a pivotal role throughout all phases of a wind farm's life cycle. In particular uncertainties associated with offshore installations can extend construction schedules and increase the capital expenditure (CAPEX) required for a given project. Installation costs typically account for approximately 30% of the overall project cost. This study considers the installation modelling for UK offshore Wind Rounds 1 and 2 using probabilistic simulation tool. The tool is used to output time-domain predictions for the completion of key installation phases. By varying key wind farm characteristics such as distance to shore and the number of turbines, an assessment of vessel performance was completed for each round by reviewing recorded durations predicted by the software. The results provide a quantification of installation vessel performance and the associated deviations present a measure of installation risk. It is identified that the Round 1 vessels experience less weather downtime but higher variability and the Round 2 vessels perform more consistently but experience larger delays. The paper provides a structured method to identify and benchmark offshore wind installation risks, to support developers and project planners.
【 授权许可】
Free
【 预 览 】
Files | Size | Format | View |
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10_1016_j_oceaneng_2017_08_008.pdf | 1041KB | download |