Abstract
This paper will provide an overview of some projects in support of Wind Energy development involving Doppler lidar measurement of wind flow profiles. The high temporal and vertical resolution of these profiles allows the uncertainty of Numerical Weather Prediction models to be evaluated in forecasting dynamic processes and wind flow phenomena in the layer of rotor-blade operation.
Highlights
Intelligent development of wind-energy (WE) power plants requires high-quality measurements in the turbine rotor layer of the atmosphere to estimate the wind resources and understand meteorological processes controlling the Boundary Layer (BL) for the optimal design and operation of wind turbines, wind plants, and other components of the electrical grid
To address the need for wind flow measurements at turbine-rotor heights, Doppler-lidar technologies are an attractive option. These technologies are aimed at providing cost effective data through the layer swept by modern turbine rotor blades at needed temporal and vertical resolutions
Measurements from several offshore, ship-borne campaigns are available that use National Oceanic and Atmospheric
Summary
Intelligent development of wind-energy (WE) power plants requires high-quality measurements in the turbine rotor layer of the atmosphere to estimate the wind resources and understand meteorological processes controlling the Boundary Layer (BL) for the optimal design and operation of wind turbines, wind plants, and other components of the electrical grid. A potentially important tool in providing characteristics and behavior of the BL in response to various atmospheric conditions, stability, seasonality, and diurnal cycle is the numerical weather prediction (NWP) model, but without measurements in this layer for verification, the accuracy and fidelity of model output is unknown. To address the need for wind flow measurements at turbine-rotor heights, Doppler-lidar technologies are an attractive option. These technologies are aimed at providing cost effective data through the layer swept by modern turbine rotor blades at needed temporal and vertical resolutions. The HRDL dataset from a field campaign, the New England Air Quality Study (NEAQS-2004), designed to study air quality off the New England coast, was used to investigate properties of the flow in the rotor layer in the offshore environment, and to validate performance of NOAA NWP models
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