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Performance modelling for wind turbines operating in harsh conditions

  • Published:2016-08-17 Issue:3 Volume:41 Page:417-428
  • ISSN:0363-907X
  • Container-title:International Journal of Energy Research
  • language:en
  • Short-container-title:Int. J. Energy Res.

Author:

Little Maxwell1,Pope Kevin1

Affiliation:

1. Memorial University of Newfoundland; 240 Prince Phillip Drive St John's NL Canada

Funder

Research and Development Corporation of Newfoundland and Labrador

Publisher

Wiley

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference25 articles.

1. Globalwindatlas.com Global Wind Atlas 2016 http://www.globalwindatlas.com

2. Pv.nrcan.gc.ca Cartes PV maps 2015 http://pv.nrcan.gc.ca/

3. Windatlas.ca Canadian Wind Energy Atlas 2015 http://www.windatlas.ca/en/index.php

4. Little ML Pope K Modeling Seasonal Wind Resource Variation in a Maritime-Influenced Humid Continental Climate 2015

5. Go.northernpower.com NPS 100 arctic turbine 2015 http://go.northernpower.com/NPS100Arctic

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1. A novel method of wind turbine bearing fault diagnosis based on gradient projection sparse reconstruction and fractional Fourier transform and improved convolutional long short-term memory;Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering;2023-06-23

2. Internal Ventilation and Thermal Characteristics of a New Ventilation System for a Large Offshore Permanent Magnet Wind Turbine Generator;2022 IEEE International Power and Renewable Energy Conference (IPRECON);2022-12-16

3. Power Losses Calculation in Wind Power Plant based on a Vector-Controlled Permanent Magnet Synchronous Generator;2021 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (ElConRus);2021-01-26

4. A review on development of offshore wind energy conversion system;International Journal of Energy Research;2020-09-17

5. A novel wind turbine health condition monitoring method based on common features distribution adaptation;International Journal of Energy Research;2020-06-13
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