Analysis and comparison of turbulence models on wind turbine performance using SCADA data and machine learning technique-Reference-Cited by-同舟云学术

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Analysis and comparison of turbulence models on wind turbine performance using SCADA data and machine learning technique

Published:2023-01-29 Issue:1 Volume:10 Page:
ISSN:2331-1916
Container-title:Cogent Engineering
language:en
Short-container-title:Cogent Engineering

Author:

Liu Jui-Hung¹^ORCID,Chen Jien-Chen²,Corbita Nelson T.³^ORCID

Affiliation:

1. Mechanical Engineering Department, Southern Taiwan University of Science and Technology, Tainan City, Taiwan

2. Mechanical and Mechatronics Systems Research Lab, Industrial Technology Research Institute, Hsinchu, Taiwan

3. Mechanical Engineering Department, University of Science and Technology of Southern Philippines, Philippines

Funder

research

Publisher

Informa UK Limited

Subject

General Engineering,General Chemical Engineering,General Computer Science

Link

https://www.tandfonline.com/doi/pdf/10.1080/23311916.2023.2167345

Reference26 articles.

1. A novel VAWT passive flow control numerical and experimental investigations: Guided Vane Airfoil Wind Turbine

2. In the quest of an appropriate turbulence model for analyzing the aerodynamics of a conventional Savonius (S-type) wind rotor

3. An investigation of the impact of wind speed and turbulence on small wind turbine operation and fatigue loads

4. Understanding the Aerodynamic Behavior and Energy Conversion Capability of Small Darrieus Vertical Axis Wind Turbines in Turbulent Flows

5. Machine learning-enabled prediction of wind turbine energy yield losses due to general blade leading edge erosion

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2. Active Planning for Virtual Microgrids with Demand-Side and Distributed Energy Resources;Energies;2024-05-16

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