<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Design and optimization of a small horizontal axis wind turbine using BEM theory and tip loss corrections

تصميم وتحسين توربينات الرياح ذات المحور الأفقي الصغير باستخدام نظرية BEM وتصحيحات فقدان الطرف

descriptionPublicationkeyboard_double_arrow_right Article , Other literature type 01 Jan 2021Publisher:EDP SciencesJournal:E3S Web of Conferences, volume 294, page 1,003 (eissn: 2267-1242,

Authors: Somaya Younoussi; Abdeslem Ettaouil;

doi: 10.1051/e3sconf/202129401003 , 10.60692/2gdc1-gne54 , 10.60692/e0qg4-b5692

Design and optimization of a small horizontal axis wind turbine using BEM theory and tip loss corrections

- Summary
- Subjects
- Metrics

Abstract

In this paper, an optimization approach of a small horizontal axis wind turbine based on BEM theory including De Vries and Shen et al. tip loss corrections is proposed. The optimal blade geometry was obtained by maximizing the power coefficient along the blade using the optimal angle of attack and the optimal tip speed ratio. The Newton’s iterative method applied to axial induction factor was used to solve the problem. This study was conducted for a NACA4418 small wind turbine, at low wind velocity. Among the two used tip loss corrections, the De Vries correction was found to be the most suitable for this blade optimization method. The optimal design was obtained for a tip speed ratio of 5 and has recorded a power coefficient equal to 0.463.

Related Organizations

Mohammed V University
Morocco
Mohamed I University
Morocco

Keywords

Artificial intelligence, Turbine blade, Aerospace Engineering, FOS: Mechanical engineering, Structural engineering, Control (management), Mechanics, Wind speed, Horizontal axis, Tip-speed ratio, Engineering, Meteorology, Blade (archaeology), Aerodynamics and Heat Transfer in Turbomachinery, Control theory (sociology), FOS: Mathematics, GE1-350, Physics, Power (physics), Computer science, Environmental sciences, Icing Mitigation Techniques for Wind Turbines and Aircraft, Wind Farm Optimization, Electrical engineering, Physical Sciences, Thermodynamics, Wind Energy Technology and Aerodynamics, Wind power, Mathematics, Turbine

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	1
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average