Bulletin of the American Physical Society
71st Annual Meeting of the APS Division of Fluid Dynamics
Volume 63, Number 13
Sunday–Tuesday, November 18–20, 2018; Atlanta, Georgia
Session Q03: Energy Harvesting and Power Generation III
12:50 PM–3:26 PM,
Tuesday, November 20, 2018
Georgia World Congress Center
Room: B204
Chair: Richard Stevens, University of Twente
Abstract ID: BAPS.2018.DFD.Q03.2
Abstract: Q03.00002 : Acoustic tomography of turbulent flows near wind turbines
1:03 PM–1:16 PM
Presenter:
Nicholas Hamilton
(National Renewable Energy Laboratory)
Authors:
Nicholas Hamilton
(National Renewable Energy Laboratory)
James Hansen
(Arizona State University)
Julie Lundquist
(University of Colorado, Boulder)
Patrick Moriarty
(National Renewable Energy Laboratory)
Vladimir Ostashev
(University of Colorado, Boulder)
Acoustic tomography of the atmosphere is a relatively unexplored remote sensing technology with the potential to improve fundamental scientific knowledge of atmospheric turbulence and acoustic wave propagation in the atmosphere and potential to expand our capabilities in terms of wind turbine wake observations. Existing remote sensing technologies rely on wave backscatter off of airborne particulate matter, which limits spatial and temporal resolution and cannot produce reliable flow estimates near solid bodies. In contrast, acoustic tomography relies on the direct travel of signals between transducers in a network and can achieve much higher resolutions in space and time. Signal travel times are combined using a stochastic inversion technique to reconstruct both the velocity and temperature fields within the transducer network. An acoustic tomography array at the National Wind Technology Center has been developed to investigate atmospheric flows from which energy is extracted by utility scale wind turbines and to make observations around wind turbines to illuminate wake physics and provide highly resolved observations necessary for high-fidelity model validation efforts.
To cite this abstract, use the following reference: http://meetings.aps.org/link/BAPS.2018.DFD.Q03.2
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