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@article{Staffell:2016:10.1016/j.energy.2016.08.068,
author = {Staffell, IL and Pfenninger, S},
doi = {10.1016/j.energy.2016.08.068},
journal = {Energy},
pages = {1224--1239},
title = {Using bias-corrected reanalysis to simulate current and future wind power output},
url = {http://dx.doi.org/10.1016/j.energy.2016.08.068},
volume = {114},
year = {2016}
}
TY - JOUR
AB - 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%.
AU - Staffell,IL
AU - Pfenninger,S
DO - 10.1016/j.energy.2016.08.068
EP - 1239
PY - 2016///
SN - 0360-5442
SP - 1224
TI - Using bias-corrected reanalysis to simulate current and future wind power output
T2 - Energy
UR - http://dx.doi.org/10.1016/j.energy.2016.08.068
UR - https://www.sciencedirect.com/science/article/pii/S0360544216311811?via%3Dihub
UR - http://hdl.handle.net/10044/1/39214
VL - 114
ER -
Climate Science
Earth and Life Sciences
Energy and Low-Carbon Futures
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