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DOI10.1088/1748-9326/aaf9cf
Corrigendum: Observation-based solar and wind power capacity factors and power densities (Environmental Research Letters (2018) 13 (104008) DOI: 10.1088/1748-9326/aae102)
Miller L.M.; Keith D.W.
发表日期2019
ISSN17489318
卷号14期号:7
英文摘要An error in the estimate of wind plant area led us to underestimate wind power densities by about 40%. The error was our incorrectspecification of the geometric projection in the calculation of the area of Voroni polygons in our GIS software. The severity of this error increased with latitude so errors were smaller in Texas than Montana. Our method used area to filter out plants with installed capacity densities 0.1 MWi km-2, a step that generally removes plants with very small numbers of turbines, for which our Voroni method produces overly-large areas. Because the areas changed, the sample set also changed when the error was fixed. Finding the error motivated us to both provide a more detailed description of the method in the supplemental information is available online at stacks.iop.org/ERL/14/079501/mmedia and make data publicly available in anAddendum. © 2019 The Author(s). Published by IOP Publishing Ltd.
语种英语
来源期刊Environmental Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/154504
作者单位School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, United States; Harvard Kennedy School, Cambridge, MA 02138, United States; Atmospheric and Environmental Research, Lexington, MA 02421, United States
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Miller L.M.,Keith D.W.. Corrigendum: Observation-based solar and wind power capacity factors and power densities (Environmental Research Letters (2018) 13 (104008) DOI: 10.1088/1748-9326/aae102)[J],2019,14(7).
APA Miller L.M.,&Keith D.W..(2019).Corrigendum: Observation-based solar and wind power capacity factors and power densities (Environmental Research Letters (2018) 13 (104008) DOI: 10.1088/1748-9326/aae102).Environmental Research Letters,14(7).
MLA Miller L.M.,et al."Corrigendum: Observation-based solar and wind power capacity factors and power densities (Environmental Research Letters (2018) 13 (104008) DOI: 10.1088/1748-9326/aae102)".Environmental Research Letters 14.7(2019).
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