Global levelised cost of electricity from offshore wind
File(s) LCOE submitted manuscript_revision1_clean.docx (3.61 MB)
Accepted version
Author(s)
Bosch, Jonathan
Staffell, Iain
Hawkes, Adam D
Type
Journal Article
Abstract
There is strong agreement across the energy modelling community that wind energy will be a key route to mitigating carbon emissions in the electricity sector. This paper presents a Geospatial Information System methodology for estimating spatially-resolved levelised cost of electricity for offshore wind, globally. The principal spatial characteristics of capital costs are transmission distance (i.e. the distance to grid connection) and water depth, because of the disparate costs of turbine foundation technologies. High resolution capacity factors are estimated from a bottom-up estimation of global wind speeds calculated from several decades of wind speed data. A technology-rich description of fixed and floating foundation types allows the levelised cost of electricity to be calculated for 1 × 1 km grid cells, relative to location-specific annual energy production, and accounting for exclusion areas, array losses and turbine availability. These data can be used to assess the economically viable offshore wind energy potential, globally and on a country basis, and can serve as inputs to energy systems models.
Date Issued
2019-12-15
Date Acceptance
2019-10-13
Citation
Energy, 2019, 189, pp.116357-116357
ISSN
0360-5442
Publisher
Elsevier BV
Start Page
116357
End Page
116357
Journal / Book Title
Energy
Volume
189
Copyright Statement
© 2019 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Identifier
https://www.sciencedirect.com/science/article/abs/pii/S0360544219320523?via%3Dihub
Subjects
Energy
0913 Mechanical Engineering
0915 Interdisciplinary Engineering
0914 Resources Engineering and Extractive Metallurgy
Publication Status
Published
Article Number
116357
Date Publish Online
2019-10-15
