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Title: Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration

Abstract

New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulencemore » information for optimal control of the wind turbines at large wind farms.« less

Authors:
Publication Date:
Research Org.:
University of Colorado Boulder
Sponsoring Org.:
USDOE
OSTI Identifier:
1053852
Report Number(s):
DOE/EE0001384
DOE Contract Number:
EE0001384
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
17 WIND ENERGY

Citation Formats

Rodney Frehlich. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration. United States: N. p., 2012. Web. doi:10.2172/1053852.
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Rodney Frehlich. Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration. United States. doi:10.2172/1053852.
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Rodney Frehlich. Tue . "Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration". United States. doi:10.2172/1053852. https://www.osti.gov/servlets/purl/1053852.
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@article{osti_1053852,
title = {Upstream Measurements of Wind Profiles with Doppler Lidar for Improved Wind Energy Integration},
author = {Rodney Frehlich},
abstractNote = {New upstream measurements of wind profiles over the altitude range of wind turbines will be produced using a scanning Doppler lidar. These long range high quality measurements will provide improved wind power forecasts for wind energy integration into the power grid. The main goal of the project is to develop the optimal Doppler lidar operating parameters and data processing algorithms for improved wind energy integration by enhancing the wind power forecasts in the 30 to 60 minute time frame, especially for the large wind power ramps. Currently, there is very little upstream data at large wind farms, especially accurate wind profiles over the full height of the turbine blades. The potential of scanning Doppler lidar will be determined by rigorous computer modeling and evaluation of actual Doppler lidar data from the WindTracer system produced by Lockheed Martin Coherent Technologies, Inc. of Louisville, Colorado. Various data products will be investigated for input into numerical weather prediction models and statistically based nowcasting algorithms. Successful implementation of the proposed research will provide the required information for a full cost benefit analysis of the improved forecasts of wind power for energy integration as well as the added benefit of high quality wind and turbulence information for optimal control of the wind turbines at large wind farms.},
doi = {10.2172/1053852},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Oct 30 00:00:00 EDT 2012},
month = {Tue Oct 30 00:00:00 EDT 2012}
}
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Technical Report:
View Technical Report (2.39 MB)
DOI:  10.2172/1053852
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