IEA Wind Task 32: Wind lidar identifying and mitigating barriers to the adoption of wind lidar

Research output: Contribution to journalJournal article – Annual report year: 2018Researchpeer-review



  • Author: Clifton, Andrew

    University of Stuttgart, Germany

  • Author: Clive, Peter

    Wood Group, United Kingdom

  • Author: Gottschall, Julia

    Fraunhofer-Gesellschaft, Germany

  • Author: Schlipf, David

    University of Stuttgart, Germany

  • Author: Simley, Eric

    Envision Energy USA Ltd., United States

  • Author: Simmons, Luke

    DNV GL USA, United States

  • Author: Stein, Detlef

    Multiversum GmbH, Germany

  • Author: Trabucchi, Davide

    University of Oldenburg, Germany

  • Author: Vasiljevic, Nikola

    Meteorology & Remote Sensing, Department of Wind Energy, Technical University of Denmark, Frederiksborgvej 399, 4000, Roskilde, Denmark

  • Author: Würth, Ines

    University of Stuttgart, Germany

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IEA Wind Task 32 exists to identify and mitigate barriers to the adoption of lidar for wind energy applications. It leverages ongoing international research and development activities in academia and industry to investigate site assessment, power performance testing, controls and loads, and complex flows. Since its initiation in 2011, Task 32 has been responsible for several recommended practices and expert reports that have contributed to the adoption of ground-based, nacelle-based, and floating lidar by the wind industry. Future challenges include the development of lidar uncertainty models, best practices for data management, and developing community-based tools for data analysis, planning of lidar measurements and lidar configuration. This paper describes the barriers that Task 32 identified to the deployment of wind lidar in each of these application areas, and the steps that have been taken to confirm or mitigate the barriers. Task 32 will continue to be a meeting point for the international wind lidar community until at least 2020 and welcomes old and new participants.
Original languageEnglish
Article number406
JournalRemote Sensing
Issue number3
Number of pages22
Publication statusPublished - 2018

Bibliographical note

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

CitationsWeb of Science® Times Cited: No match on DOI

    Research areas

  • Complex flow, Doppler lidar, Power performance testing, Resource assessment, Wind energy, Wind turbine controls

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