Open AccessOnline data‐driven approach of yaw error estimation and correction of horizontal axis wind turbine
Author(s) -
Xue Jianguo,
Wang Lu
Publication year - 2019
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2018.9293
Subject(s) - nacelle , wind power , aerodynamics , turbine , euler angles , rotor (electric) , horizontal axis , vertical axis , computer science , control theory (sociology) , aerospace engineering , engineering , physics , mechanical engineering , artificial intelligence , structural engineering , electrical engineering , control (management) , quantum mechanics , engineering drawing
Active yaw system is a very important component of modern horizontal axis wind turbines to keep the nacelle aligning with the stochastic wind direction. However, in practice, it is hard to keep the rotor facing into the wind precisely, which will lead to not only the loss in power production but the increment in aerodynamic loads. This study presents a data‐driven approach to estimate yaw error for remote terminal unit.