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Expert Elicitation on Wind Farm Control

Abstract

Wind farm control is an active and growing field of research in which the control actions of individual turbines in a farm are coordinated, accounting for inter-turbine aerodynamic interaction, to improve the overall performance of the wind farm and to reduce costs. The primary objectives of wind farm control include increasing power production, reducing turbine loads, and providing electricity grid support services. Additional objectives include improving reliability or reducing external impacts to the environment and communities. In 2019, a European research project (FarmConners) was started with the main goal of providing an overview of the state-of-the-art in wind farm control, identifying consensus of research findings, data sets, and best practices, providing a summary of the main research challenges, and establishing a roadmap on how to address these challenges. Complementary to the FarmConners project, an IEA Wind Topical Expert Meeting (TEM) and two rounds of surveys among experts were performed. From these events we can clearly identify an interest in more public validation campaigns. Additionally, a deeper understanding of the mechanical loads and the uncertainties concerning the effectiveness of wind farm control are considered two major research
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Category

Academic article

Client

  • EC/H2020 / 857844

Language

English

Author(s)

  • Jan Willem van Wingerden
  • Paul A. Fleming
  • Tuhfe Göcmen
  • Irene Eguinoa
  • Bart Doekemeijer
  • Katherine Dykes
  • Michael Lawson
  • Eric Simely
  • Jennifer King
  • David Astrain
  • Mikel Iribas-Latour
  • Carlo Bottasso
  • Johan Meyers
  • Steffen Raach
  • Konstanze Kölle
  • Gregor Giebel

Affiliation

  • Delft University of Technology
  • National Renewable Energy Laboratory
  • Technical University of Denmark
  • Spain
  • Technical University of Munich
  • University of Leuven
  • Germany
  • SINTEF Energy Research / Energisystemer

Year

2020

Published in

Journal of Physics: Conference Series (JPCS)

ISSN

1742-6588

Publisher

IOP Publishing

Volume

1618

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