Journal
ENERGY SOURCES PART B-ECONOMICS PLANNING AND POLICY
Volume 13, Issue 5, Pages 281-290Publisher
TAYLOR & FRANCIS INC
DOI: 10.1080/15567249.2018.1461150
Keywords
CAPEX; LCOE; nonlinear regression; offshore wind farm; OPEX; parametric expressions
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Funding
- UK Engineering and Physical Sciences Research Council (EPSRC)
- [EP/L016303/1]
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Installed wind energy capacity has been rapidly increasing over the last decade, with deployments in deeper waters and further offshore, with higher turbine ratings within new farms. Understanding the impact of different deployment factors on the overall cost of wind farms is pertinent toward benchmarking the potential of different investment decision alternatives. In this article, a set of parametric expressions for capital expenditure, operational expenditure, and levelized cost of energy are developed as a function of wind turbine capacity. These expressions have been developed through a series of simulations based on a fully integrated, tested cost model which are then generalized through the application of appropriate nonlinear regression equations for a typical offshore wind farm investment and taking into account most current published cost figures. The effectiveness of the models are countersigned through a series of cases, estimating the predicted values with a maximum error of 3.3%. These expressions will be particularly useful for the preliminary assessment of available deployment sites, offering cost estimates based on global decision variables.
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