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https://doi.org/10.5194/wes-20...
Article . 2022 . Peer-reviewed
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Wind Energy Science
Article . 2023 . Peer-reviewed
License: CC BY
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Wind Energy Science
Article . 2023
Data sources: DOAJ
Copernicus Publications
Other literature type . 2023
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Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy

Authors: Sue Ellen Haupt; Branko Kosović; Larry K. Berg; Colleen M. Kaul; Matthew Churchfield; Jeffrey Mirocha; Dries Allaerts; +15 Authors

Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy

Abstract

Abstract. The Mesoscale to Microscale Coupling team, part of the U.S. Department of Energy Atmosphere to electrons (A2e) initiative, has studied various important challenges related to coupling mesoscale models to microscale models for the use case of wind energy development and operation. Several coupling methods and techniques for generating turbulence at the microscale that is subgrid to the mesoscale have been evaluated for a variety of cases. Case studies included flat terrain, complex terrain, and offshore environments. Methods were developed to bridge the terra incognita, that scale from about 100 m through the depth of the boundary layer. The team used wind-relevant metrics and archived code, case information, and assessment tools and are making those widely available. Lessons learned and discerned best practices are described in the context of the cases studied for the purpose of enabling further deployment of wind energy.

Country
Netherlands
Keywords

TJ807-830, 551, Renewable energy sources

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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OpenAIRE UsageCountsViews provided by UsageCounts
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