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Title: Wide Area Wind Field Monitoring Status & Results

Abstract

Volume-scanning elastic has been investigated as a means to derive 3D dynamic wind fields for characterization and monitoring of wind energy sites. An eye-safe volume-scanning lidar system was adapted for volume imaging of aerosol concentrations out to a range of 300m. Reformatting of the lidar data as dynamic volume images was successfully demonstrated. A practical method for deriving 3D wind fields from dynamic volume imagery was identified and demonstrated. However, the natural phenomenology was found to provide insufficient aerosol features for reliable wind sensing. The results of this study may be applicable to wind field measurement using injected aerosol tracers.

Authors:
;
Publication Date:
Research Org.:
Utah State University
Sponsoring Org.:
USDOE Office of Energy Efficiency and Renewable Energy (EERE)
OSTI Identifier:
1035563
Report Number(s):
DOE/EE0002734-1
TRN: US201215%%343
DOE Contract Number:  
EE0002734
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY; AEROSOLS; MONITORING; OPTICAL RADAR; wind field; lidar; aerosols; eye-safe; volume imaging

Citation Formats

Alan Marchant, and Jed Simmons. Wide Area Wind Field Monitoring Status & Results. United States: N. p., 2011. Web. doi:10.2172/1035563.
Alan Marchant, & Jed Simmons. Wide Area Wind Field Monitoring Status & Results. United States. doi:10.2172/1035563.
Alan Marchant, and Jed Simmons. Fri . "Wide Area Wind Field Monitoring Status & Results". United States. doi:10.2172/1035563. https://www.osti.gov/servlets/purl/1035563.
@article{osti_1035563,
title = {Wide Area Wind Field Monitoring Status & Results},
author = {Alan Marchant and Jed Simmons},
abstractNote = {Volume-scanning elastic has been investigated as a means to derive 3D dynamic wind fields for characterization and monitoring of wind energy sites. An eye-safe volume-scanning lidar system was adapted for volume imaging of aerosol concentrations out to a range of 300m. Reformatting of the lidar data as dynamic volume images was successfully demonstrated. A practical method for deriving 3D wind fields from dynamic volume imagery was identified and demonstrated. However, the natural phenomenology was found to provide insufficient aerosol features for reliable wind sensing. The results of this study may be applicable to wind field measurement using injected aerosol tracers.},
doi = {10.2172/1035563},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {9}
}