Boundary Layers: Wind Turbine Interactions I

Presentations

• Data Assimilation for the Prediction of Wake Trajectories Within Wind Farms

  ORAL

  Nov. 24, 2019, 3:48 PM – Nov. 24, 2019, 4:01 PM

  Authors

  • Maxime Lejeune

    • Universite catholique de Louvain (UCLouvain)

  • Marion Coquelet

    • UCLouvain - UMons
    • UCLouvain - UMONS

  • Nicolas Coudou

    • UCLouvain - UMons - VKI

  • Maud Moens

    • Universite catholique de Louvain (UCLouvain)

  • Philippe Chatelain

    • UCLouvain
    • Universit\'e catholique de Louvain
    • Université catholique de Louvain
    • Universite catholique de Louvain
    • Universite Catholique de Louvain, UCLouvain
    • Universite catholique de Louvain (UCLouvain)
    • Universite Catholique de Louvain

  View abstract →

• Analytical model for yawed turbine asymmetric wakes.

  ORAL

  Nov. 24, 2019, 4:01 PM – Nov. 24, 2019, 4:14 PM

  Authors

  • Michele Guala

    • University of Minnesota
    • St. Anthony Falls Laboratory, University of Minnesota
    • St. Anthony Falls Laboratory, CEGE, University of Minnesota

  • Bingzheng Dou

    • Department of Mechanical Engineering, Tsinghua University

  • Liping Lei

    • Department of Mechanical Engineering, Tsinghua University

  • Pan Zeng

    • Department of Mechanical Engineering, Tsinghua University

  View abstract →

• A generalized top down model for Equivalent Roughness of Fully Developed Wind Farm

  ORAL

  Nov. 24, 2019, 4:14 PM – Nov. 24, 2019, 4:27 PM

  Authors

  • Huan Zhang

    • State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China, 102206

  • Mingwei Ge

    • State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China, 102206

  • Yongqian Liu

    • State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China, 102206

  • Xiang Yang

    • Pennsylvania State University
    • Mechanical Engineering, Penn State University, State College, PA, USA, 16802
    • Penn State University

  View abstract →

• On the evaluation of Taylor's frozen-flow hypothesis in modeling the meandering of turbine wakes

  ORAL

  Nov. 24, 2019, 4:27 PM – Nov. 24, 2019, 4:40 PM

  Authors

  • Xiaolei Yang

    • Institute of Mechanics, Chinese Academy of Sciences

  • Guowei He

    • Institute of Mechanics, Chinese Academy of Sciences

  View abstract →

• Numerical Perspectives on Wind Turbine Wakes

  ORAL

  Nov. 24, 2019, 4:40 PM – Nov. 24, 2019, 4:53 PM

  Authors

  • Rubel Das

    • University of New Mexico

  • Sang Lee

    • University of New Mexico

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• Assessment of wake superposition models through wind tunnel tests and LiDAR measurements.

  ORAL

  Nov. 24, 2019, 4:53 PM – Nov. 24, 2019, 5:06 PM

  Authors

  • Stefano Letizia

    • University of Texas at Dallas

  • Lu Zhan

    • University of Texas at Dallas

  • Emmanouil Nanos

    • Technical University of Munich

  • Carlo Bottasso

    • Technical University of Munich

  • Mario A. Rotea

    • University of Texas at Dallas

  • Giacomo Valerio Iungo

    • University of Texas at Dallas

  View abstract →

• Impact of utility-scale wind turbine wakes on surface fluxes

  ORAL

  Nov. 24, 2019, 5:06 PM – Nov. 24, 2019, 5:19 PM

  Authors

  • Aliza Abraham

    • St. Anthony Falls Laboratory, University of Minnesota
    • University of Minnesota

  • Jiarong Hong

    • University of Minnesota
    • University of Minnesota, Twin Cities
    • Dept. of Mech. Engineering, UMN
    • St. Anthony Falls Laboratory, University of Minnesota
    • Department of Mechanical Engineering \& Saint Anthony Falls Lab, University of Minnesota

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• UAS Swarming for Three-Dimensional Wake Measurements of Building and Turbine Wakes

  ORAL

  Nov. 24, 2019, 5:19 PM – Nov. 24, 2019, 5:32 PM

  Authors

  • Seabrook Whyte

    • Oklahoma State University

  • Rakshit Allamraju

    • Oklahoma State University

  • Taylor Mitchell

    • Oklahoma State University

  • Victoria Natalie

    • Oklahoma State University

  View abstract →