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Complex terrain experiments in the New European Wind Atlas.

J Mann1, N Angelou2, J Arnqvist3

  • 1Technical University of Denmark, Roskilde, Denmark jmsq@dtu.dk.

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|March 8, 2017
PubMed
Summary
This summary is machine-generated.

The New European Wind Atlas project is conducting experiments in complex terrain to validate atmospheric flow models for wind energy. Doppler lidar systems are crucial for accurate wind measurements, enhancing the development of a European wind atlas.

Keywords:
Doppler lidarcomplex terrainmeteorological experiment

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Area of Science:

  • Atmospheric Science
  • Renewable Energy Engineering
  • Meteorology

Background:

  • The New European Wind Atlas project aims to create a comprehensive, accessible wind resource assessment for Europe and Turkey.
  • Understanding wind flow in complex terrains is critical for efficient and reliable wind energy deployment.
  • Existing wind atlases often lack detailed data for complex geographical areas.

Purpose of the Study:

  • To describe and present the experimental methodologies for validating atmospheric flow models within the New European Wind Atlas project.
  • To investigate wind flow properties relevant to wind turbine operation, including mean flow, turbulence, extreme winds, wind shear, veer, and diurnal/seasonal variations.
  • To assess the effectiveness of Doppler lidar systems in characterizing wind conditions in diverse and complex terrains.

Main Methods:

  • Conducting field experiments in various complex terrains across Europe.
  • Utilizing multiple synchronized, scanning Doppler lidar systems to measure wind flow at heights relevant to wind turbines (40-300m).
  • Supplementing or replacing traditional meteorological towers with advanced lidar technology for enhanced data acquisition.

Main Results:

  • Pilot experiments in Portugal and Germany demonstrate the high accuracy and value of synchronized scanning lidar for studying atmospheric processes.
  • Experimental data are being collected to validate atmospheric flow models used in wind resource assessment.
  • The study focuses on key wind parameters such as mean flow, turbulence intensity, wind shear, and wind veer.

Conclusions:

  • Doppler lidar systems, particularly synchronized scanning arrays, provide accurate and valuable data for wind energy applications in complex terrains.
  • The experimental data generated will significantly improve the reliability of atmospheric flow models for wind resource assessment.
  • The project will result in a freely accessible European wind atlas, supporting the expansion of wind energy.