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  4. Using bias-corrected reanalysis to simulate current and future wind power output
 
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Using bias-corrected reanalysis to simulate current and future wind power output
File(s)
Staffell, 2016 - Modelling Wind Power.pdf (3.02 MB)
Accepted version
1-s2.0-S0360544216311811-main.pdf (3.07 MB)
Published version
Author(s)
Staffell, IL
Pfenninger, S
Type
Journal Article
Abstract
Reanalysis models are rapidly gaining popularity for simulating wind power output due to their convenience and global coverage. However, they should only be relied upon once thoroughly proven. This paper reports the first international validation of reanalysis for wind energy, testing NASA's MERRA and MERRA-2 in 23 European countries. Both reanalyses suffer significant spatial bias, overestimating wind output by 50% in northwest Europe and underestimating by 30% in the Mediterranean. We derive national correction factors, and show that after calibration national hourly output can be modelled with R2 above 0.95. Our underlying data are made freely available to aid future research.

We then assess Europe's wind resources with twenty-year simulations of the current and potential future fleets. Europe's current average capacity factor is 24.2%, with countries ranging from 19.5% (Germany) to 32.4% (Britain). Capacity factors are rising due to improving technology and locations; for example, Britain's wind fleet is now 23% more productive than in 2005. Based on the current planning pipeline, we estimate Europe's average capacity factor could increase by nearly a third to 31.3%. Countries with large stakes in the North Sea will see significant gains, with Britain's average capacity factor rising to 39.4% and Germany's to 29.1%.
Date Issued
2016-11-01
Date Acceptance
2016-08-19
Citation
Energy, 2016, 114 (1), pp.1224-1239
URI
http://hdl.handle.net/10044/1/39214
URL
https://www.sciencedirect.com/science/article/pii/S0360544216311811?via%3Dihub
DOI
https://www.dx.doi.org/10.1016/j.energy.2016.08.068
ISSN
0360-5442
Publisher
Elsevier
Start Page
1224
End Page
1239
Journal / Book Title
Energy
Volume
114
Issue
1
Copyright Statement
© 2016 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license
(http://creativecommons.org/licenses/by/4.0/).
License URL
http://creativecommons.org/licenses/by/4.0/
Sponsor
Engineering & Physical Science Research Council (EPSRC)
Identifier
https://www.sciencedirect.com/science/article/pii/S0360544216311811?via%3Dihub
Grant Number
EP/L024756/1
Subjects
Science & Technology
Physical Sciences
Technology
Thermodynamics
Energy & Fuels
Wind power
Wind farm
Reanalysis
Capacity factor
Energy yield
Europe
ELECTRICITY
GENERATION
RESOURCE
EUROPE
UK
MERIT
MERRA
US
Energy
0913 Mechanical Engineering
0914 Resources Engineering and Extractive Metallurgy
0915 Interdisciplinary Engineering
Publication Status
Published
Date Publish Online
2016-09-02
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