R
Raúl Bayoán Cal
Researcher at Portland State University
Publications - 126
Citations - 2216
Raúl Bayoán Cal is an academic researcher from Portland State University. The author has contributed to research in topics: Turbulence & Boundary layer. The author has an hindex of 22, co-authored 109 publications receiving 1774 citations. Previous affiliations of Raúl Bayoán Cal include École normale supérieure de Lyon & Johns Hopkins University.
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Experimental study of the horizontally averaged flow structure in a model wind-turbine array boundary layer
TL;DR: In this paper, the vertical transport of momentum and kinetic energy across a boundary layer flow with wind turbines is investigated in a wind-tunnel experiment with a 3×3 array of model wind turbines.
Journal Article
Experimental study of the horizontally averaged flow structure in a model wind-turbine array boundary layer
TL;DR: In this paper, the vertical transport of momentum and kinetic energy across a boundary layer flow with wind turbines is investigated in a wind-tunnel experiment with a 3×3 array of model wind turbines.
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Statistical analysis of kinetic energy entrainment in a model wind turbine array boundary layer
TL;DR: In this paper, various statistical features of turbulence causing vertical entrainment of mean-flow kinetic energy are studied using hot-wire velocimetry data taken in a model wind farm in a scaled wind tunnel experiment.
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Influence of the external conditions on transitionally rough favorable pressure gradient turbulent boundary layers
TL;DR: In this paper, the authors investigated the influence of external conditions on a transitionally rough favorable pressure gradient turbulent boundary layer, and found that the velocity profiles show the effects of the upstream conditions imposed on the flow when normalized with free-stream velocity.
Journal ArticleDOI
Experimental Study on Influence of Pitch Motion on the Wake of a Floating Wind Turbine Model
Stanislav Rockel,Elizabeth Camp,Jonas Schmidt,Joachim Peinke,Raúl Bayoán Cal,Michael Hölling +5 more
TL;DR: In this paper, the authors used particle image velocimetry (PVO) to measure the influence of platform pitch motion on the development of the wake of a model wind turbine.