Uncertainty quantification of infinite aligned wind farm performance using non-intrusive polynomial chaos and a distributed roughness model: Uncertainty quantification of infinite aligned wind farm performance

Foti, Daniel; Yang, Xiaolei; Sotiropoulos, Fotis

doi:10.1002/we.2072

Title: Uncertainty quantification of infinite aligned wind farm performance using non-intrusive polynomial chaos and a distributed roughness model: Uncertainty quantification of infinite aligned wind farm performance

Journal Article · Fri Dec 02 00:00:00 EST 2016 · Wind Energy

DOI:https://doi.org/10.1002/we.2072· OSTI ID:1533245

Foti, Daniel ^[1]; Yang, Xiaolei ^[2]; Sotiropoulos, Fotis ^[3]

St. Anthony Falls Laboratory, University of Minnesota, Minneapolis MN USA; Department of Mechanical Engineering, University of Minnesota, Minneapolis MN USA
St. Anthony Falls Laboratory, University of Minnesota, Minneapolis MN USA
Department of Civil Engineering, College of Engineering and Applied Science, Stony Brook University, Stony Brook MN USA

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Research Organization:: Univ. of Minnesota, Minneapolis, MN (United States); Lockheed Martin Corporation, Littleton, CO (United States)

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

DOE Contract Number:: EE0002980; EE0005482; AC04-94AL85000

OSTI ID:: 1533245

Journal Information:: Wind Energy, Vol. 20, Issue 6; ISSN 1095-4244

Publisher:: Wiley

Country of Publication:: United States

Language:: English

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