Mesoscale to Microscale Coupling for Wind Energy Applications: Addressing the Challenges

Haupt, S. E.; Berg, L.; Churchfield, Matthew; Kosović, B.; Mirocha, J.; Shaw, W.

doi:10.1088/1742-6596/1452/1/012076

Mesoscale to Microscale Coupling for Wind Energy Applications: Addressing the Challenges

Journal Article · Wed Mar 04 00:00:00 EST 2020 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/1452/1/012076· OSTI ID:1659950

Haupt, S. E. ^[1]; Berg, L. ^[2]; ^[3]; Kosović, B. ^[1]; Mirocha, J. ^[4]; Shaw, W. ^[2]

National Center for Atmospheric Research, Boulder, CO (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

The purpose of the US DOE's Mesoscale to Microscale Coupling (MMC) Project is to develop, verify, and validate physical models and modeling techniques that bridge the most important atmospheric scales that determine wind plant performance and reliability. The project seeks to create a new predictive numerical simulation capability that represents a range of dynamic atmospheric flow conditions impacting wind plant performance.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Office of Energy Efficiency and Renewable Energy (EERE), Wind Energy Technologies Office

Grant/Contract Number:: AC36-08GO28308; AC52-07NA27344

OSTI ID:: 1659950

Report Number(s):: NREL/JA-5000-77158; MainId:26104; UUID:59d87b5a-0b2b-486c-9b7b-571ae53b6e67; MainAdminID:13681

Journal Information:: Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Vol. 1452; ISSN 1742-6588

Publisher:: IOP PublishingCopyright Statement

Country of Publication:: United States

Language:: English

References (11)

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On Bridging A Modeling Scale Gap: Mesoscale to Microscale Coupling for Wind Energy Haupt, Sue Ellen; Kosovic, Branko; Shaw, William Bulletin of the American Meteorological Society, Vol. 100, Issue 12 https://doi.org/10.1175/BAMS-D-18-0033.1	journal	December 2019
A methodology for the design and testing of atmospheric boundary layer models for wind energy applications Sanz Rodrigo, Javier; Churchfield, Matthew; Kosovic, Branko Wind Energy Science, Vol. 2, Issue 1 https://doi.org/10.5194/wes-2-35-2017	journal	January 2017
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Related Subjects

17 WIND ENERGY
atmospheric flow
numerical simulation
wind plant performance

Mesoscale to Microscale Coupling for Wind Energy Applications: Addressing the Challenges

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