skip to main content
OSTI.GOV title logo U.S. Department of Energy
Office of Scientific and Technical Information

Title: NREL/L-TERRA

Abstract

Lidar (light detection and ranging) instruments are often used in wind energy studies in place of meteorological towers, as they can collect measurements at higher heights than met towers and are more easily moved to different parts of a site. While lidars can accurately measure mean wind speeds, they frequently measure different values of turbulence intensity (TI) than would be measured by a cup anemometer on a tower. Discrepancies in TI values are caused by several factors, including instrument noise and volume averaging. The inability of lidars to accurately measure turbulence is a significant barrier to replacing met towers with lidars in the future. There is currently no accepted standard process for quantifying and removing these errors in lidar TI measurements. The Software is an error reduction algorithm for lidar-measured turbulence. The algorithm is trained using co-located lidar and meteorological tower data. Lidar-measured parameters, such as wind speed, shear, and TI, will be used to predict the difference between the lidar- and tower-measured TI. The algorithm will be disseminated as a set of computer code that can be used by lidar users and manufacturers to correct lidar TI data in real time or in post-processing.

Developers:
 [1];  [1]
  1. National Renewable Energy Lab. (NREL), Golden, CO (United States)
Release Date:
Project Type:
Software Type:
Programming Languages:
Python
Licenses:
Sponsoring Org.:
USDOE

Primary Award/Contract Number:
AC36-08GO28308
Other Award/Contract Number:
LDRD
Code ID:
19413
Site Accession Number:
Research Org.:
National Renewable Energy Lab. (NREL), Golden, CO (United States)
Country of Origin:
United States

Citation Formats

Newman, Jennifer, Clifton, Andrew, and USDOE. NREL/L-TERRA. Computer software. https://www.osti.gov//servlets/purl/1476903. USDOE. 22 Aug. 2018. Web. doi:10.11578/dc.20181004.1.
Newman, Jennifer, Clifton, Andrew, & USDOE. (2018, August 22). NREL/L-TERRA [Computer software]. https://www.osti.gov//servlets/purl/1476903. doi:10.11578/dc.20181004.1.
Newman, Jennifer, Clifton, Andrew, and USDOE. NREL/L-TERRA. Computer software. August 22, 2018. https://www.osti.gov//servlets/purl/1476903. doi:10.11578/dc.20181004.1.
@misc{osti_1476903,
title = {NREL/L-TERRA},
author = {Newman, Jennifer and Clifton, Andrew and USDOE},
abstractNote = {Lidar (light detection and ranging) instruments are often used in wind energy studies in place of meteorological towers, as they can collect measurements at higher heights than met towers and are more easily moved to different parts of a site. While lidars can accurately measure mean wind speeds, they frequently measure different values of turbulence intensity (TI) than would be measured by a cup anemometer on a tower. Discrepancies in TI values are caused by several factors, including instrument noise and volume averaging. The inability of lidars to accurately measure turbulence is a significant barrier to replacing met towers with lidars in the future. There is currently no accepted standard process for quantifying and removing these errors in lidar TI measurements. The Software is an error reduction algorithm for lidar-measured turbulence. The algorithm is trained using co-located lidar and meteorological tower data. Lidar-measured parameters, such as wind speed, shear, and TI, will be used to predict the difference between the lidar- and tower-measured TI. The algorithm will be disseminated as a set of computer code that can be used by lidar users and manufacturers to correct lidar TI data in real time or in post-processing.},
url = {https://www.osti.gov//servlets/purl/1476903},
doi = {10.11578/dc.20181004.1},
year = {2018},
month = {8},
note =
}

Software:
Publicly Accessible Repository
https://github.com/NREL/L-TERRA

Save / Share: