Parametric CAPEX, OPEX, and LCOE expressions for offshore wind farms based on global deployment parameters

Ioannou, A., Angus, A. and Brennan, F. (2018) Parametric CAPEX, OPEX, and LCOE expressions for offshore wind farms based on global deployment parameters. Energy Sources, Part B: Economics, Planning, and Policy, 13(5), pp. 281-290. (doi: 10.1080/15567249.2018.1461150)

Abstract

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 (), water depth (WD), distance from port (D), and wind farm 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.

• Item Type: Articles
• Additional Information: This work was supported by grant EP/L016303/1 for Cranfield University and the University of Oxford, Centre for Doctoral Training in Renewable Energy Marine Structures (REMS) (http://www.rems-cdt.ac.uk/) from the UK Engineering and Physical Sciences Research Council (EPSRC).
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Ioannou, Dr Anastasia
• Authors: Ioannou, A., Angus, A., and Brennan, F.
• College/School: College of Science and Engineering > School of Engineering > Systems Power and Energy
• Journal Name: Energy Sources, Part B: Economics, Planning, and Policy
• Publisher: Taylor & Francis
• ISSN: 1556-7249
• ISSN (Online): 1556-7257
• Published Online: 04 May 2018
• Copyright Holders: Copyright © 2018 The Authors
• First Published: First published in Energy Sources, Part B: Economics, Planning, and Policy 13(5):281-290
• Publisher Policy: Reproduced under a Creative Commons License