Global sensitivity analysis for offshore wind cost modelling

被引:15
|
作者
Borras Mora, Esteve [1 ,2 ]
Spelling, James [2 ]
van der Weijde, Adriaan H. [3 ,4 ]
机构
[1] Univ Edinburgh, Ind Doctoral Ctr Offshore Renewable Energy IDCORE, Edinburgh EH9 3JL, Midlothian, Scotland
[2] EDF Energy R&D UK Ctr, Renewables, Croydon CR0 2AJ, England
[3] Univ Edinburgh, Sch Engn, Inst Energy Syst, Mayfield Rd, Edinburgh EH9 3DW, Midlothian, Scotland
[4] British Lib, Alan Turing Inst, London NW1 2DB, England
基金
英国工程与自然科学研究理事会;
关键词
decision making under uncertainty; global sensitivity analysis; offshore wind; offshore wind cost modelling;
D O I
10.1002/we.2612
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
The costs of offshore wind are decreasing rapidly. However, there is a need to better understand the key drivers behind these cost reductions. New environmental regulations, economic policies, technological advancements and financing structures have resulted in a set of relationships that need to be considered in order to define risks and profitability for the next generation of offshore wind farms. We use an industry-leading offshore wind cost modelling tool which integrates site characteristics, technology specificities and financial modelling expertise and apply state-of-art global sensitivity analysis methods for different classes of offshore wind farms, ranking the contribution of around 150 input parameters that influence the cost of offshore wind development. We show that the top 5 parameters when building an offshore wind investment business case are the wind speed, target equity rate of return, turbine costs, drilling costs and debt service coverage ratio. The contribution of this paper can help guide additional efforts towards reducing the uncertainty of those key parameters to decrease costs and provide a framework to choose global sensitivity analysis techniques for offshore wind techno-economic models.
引用
收藏
页码:974 / 990
页数:17
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