Capturing the journey of wind from the wind turbines (poster)

Conference paper (2015)
Department
Aerodynamics, Wind Energy & Propulsion (Aerospace Engineering) (TU Delft)
Copyright: © 2015 The Author(s)
More Info
expand_more

Published Date

10-11-2015

Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Source:

Delft Energy Initiative PhD Poster Event, Delft, The Netherlands, 10 November 2015

Faculty

Aerospace Engineering

Department

Aerodynamics, Wind Energy & Propulsion

Abstract

Wind turbine design, control strategies often assume Taylor’s frozen turbulence where the fluctuating part of the wind is assumed to be constant. In practise, the wind turbine faces higher turbulence in case of gusts and lower turbulence in some cases. With Lidar technology, the frozen turbulence assumption could be avoided and the evolution of wind towards the wind turbine could be studied. This studey therefore bridges the gap between measurements and controls of the turbine. In this poster, the autoregressive methods for prediction of the wind speeds evolving from farwind to nearwind are analysed and an empirical state space model is developed. The results are therefore useful in developing the transfer function for efficient wind turbine control thereby, reducing fatigue and extreme loads in the wind turbine.

Files

321264.pdf
(pdf | 1.66 Mb)