Performance of a wind turbine blade in sandstorms using a CFD-BEM based neural network-Reference-Cited by-同舟云学术

Performance of a wind turbine blade in sandstorms using a CFD-BEM based neural network

Published:2020-09 Issue:5 Volume:12 Page:053310
ISSN:1941-7012
Container-title:Journal of Renewable and Sustainable Energy
language:en
Short-container-title:Journal of Renewable and Sustainable Energy

Author:

Zidane Iham F.¹²,Swadener Greg²^ORCID,Ma Xianghong²,Shehadeh Mohamed F.³,Salem Mahmoud H.¹,Saqr Khalid M.¹^ORCID

Affiliation:

1. Mechanical Engineering Department, College of Engineering and Technology, Arab Academy of Science, Technology and Maritime Transport (AASTMT), 1029 Abu Kir, Alexandria, Egypt

2. School of Engineering and Applied Science, Aston University, Aston Triangle, Birmingham B4 7ET, United Kingdom

3. Marine Engineering Department, College of Engineering and Technology, Arab Academy of Science. Technology and Maritime Transport (AASTMT), 1029 Abu Kir, Alexandria, Egypt

Publisher

AIP Publishing

Subject

Renewable Energy, Sustainability and the Environment

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0012272

Reference53 articles.

1. Fluid dynamics wind turbine design: Critical analysis, optimization and application of BEM theory

2. BEM theory: How to take into account the radial flow inside of a 1-D numerical code

3. Optimization of power coefficient on a horizontal axis wind turbine using bem theory

4. Considering induction factor using BEM method in wind farm layout optimization

5. Review of computational and experimental approaches to analysis of aerodynamic performance in horizontal-axis wind turbines (HAWTs)

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