Improving wind turbine efficiency through detection and calibration of yaw misalignment-Reference-Cited by-同舟云学术

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Improving wind turbine efficiency through detection and calibration of yaw misalignment

Published:2020-11 Issue: Volume:160 Page:1217-1227
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Jing Bo,Qian Zheng,Pei Yan,Zhang Lizhong,Yang Tingyi

Funder

National Natural Science Foundation of China

Program for Changjiang Scholars and Innovative Research Team in University

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference35 articles.

1. Wind turbine condition monitoring by the approach of SCADA data analysis;Yang;Renew. Energy,2013

2. Wind turbine reliability: a comprehensive review towards effective condition monitoring development;Artigao;Appl. Energy,2018

3. Wind Energy Explained;Manwell,2009

4. Effects of yaw error on wind turbine running characteristics based on the equivalent wind speed model;Wan;Energies,2015

5. Influences of yaw angle and turbulence intensity on the performance of a 20 kW in-stream hydrokinetic turbine;Tian;Energy,2016

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Investigation of Wind Turbine Static Yaw Error Based on Utility-Scale Controlled Experiments;IEEE Transactions on Industry Applications;2024-07

2. A General Method For The Diagnosis Of Wind Turbine Systematic Yaw Error Based Solely On SCADA Data;Journal of Physics: Conference Series;2024-06-01

3. Components of Wind Turbines (Rotors, Blades, Drive Trains, Gearboxes, Generators, etc.);Encyclopedia of Renewable Energy, Sustainability and the Environment;2024

4. Control Methods for Horizontal Axis Wind Turbines (HAWT): State-of-the-Art Review;Energies;2023-09-04

5. Rotor imbalance detection and diagnosis in floating wind turbines by means of drivetrain condition monitoring;Renewable Energy;2023-08

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