Published July 1, 2017 | Version 1.0.0
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Costal operating wind farms: two datasets with concurrent SCADA, LiDAR and turbulent fluxes

  • 1. Federal University of Santa Catarina, Florianopolis, Brazil
  • 2. Federal Institute of Santa Catarina, Florianopolis, Brazil
  • 3. ENGIE Brazil, Florianopolis, Brazil

Description

This data collection consists of two datasets from a micrometeorological experiment conducted in two distinct operating wind farms in a coastal area of the northeast region of Brazil, called Pedra do Sal Wind Farm (UEPS) and Beberibe Wind Farm (UEBB). These wind farms are located on the northeast coast of Brazil where meteorological conditions are strongly influenced by trade winds and sea breeze. Both datasets represent a full-year of measurements from August/2013 to July/2014.

On both operating wind farms it was commissioned a fully instrumented IEC-compliant 100m met mast, with five levels of first-class calibrated cup anemometers and one level (100m) with 3D sonic anemometer. Additionally at UEPS there's an extra 3D sonic at 20m height on the met mast, as well as a VAISALA LEOSPHERE Windcube8 doppler wind lidar with a range up to 500m height and located 2.5D upwind of one of the wind turbines.

The Pedra do Sal wind farm (UEPS) has an installed capacity of 18MW, with 20 Enercon E-44 installed at 55m a.g.l. At Beberibe wind farm (UEBB) there are 32 Enercon E-48 wind turbines installed at 75m a.g.l. The dataset includes 10min SCADA data for all wind turbines on both wind farms.

This dataset has a high-quality combination of meteorological, SCADA and turbulent flux data of two operating wind farms in Brazil. During a full-year of measurements both datasets had a high data recovery rate (see attached tables). The dataset has already been used to assess the impact of atmospheric stability on the wind farm performance, as well as the effect of mesoscale patterns on the wind profile and wind farm power production. Recirculation of the sea breeze and the development of an internal boundary layer upwind the wind turbines were also characterized.

For more details on the experimental layout, wind turbine locations, meso and microcale wind conditions and any other information not stated in the NetCDF4 files, please refer to the reference material or contact one of the authors.

 

Notes

This dataset was created with the support by the Brazilian Electricity Regulatory Agency (ANEEL) under R&D project 0403 − 0020/2011, funded by ENGIE Brazil. The authors also acknowledge support from the National Council for Scientific and Technological Development of Brazil (CNPq).

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Additional details

Related works

Is documented by
10.1007/978-3-319-17777-9_80 (DOI)

References