Please use this identifier to cite or link to this item: https://doi.org/10.15480/882.2336
Publisher DOI: 10.1088/1757-899X/518/3/032020
Title: Analysis of wind turbine using QBlade software
Language: English
Authors: Alaskari, Mustafa 
Abdullah, Oday Ibraheem 
Majeed, Mahir H. 
Issue Date: 5-Jun-2019
Publisher: IOP
Source: IOP Conference Series: Materials Science and Engineering 3 (518): 032020- (2019-06-05)
Part of Series: IOP conference series / Materials science and engineering 
Abstract (english): Owing to the fast development in the energy field, the demands are increasing to improve energy efficiency and lifetime of wind turbine. The wind blades are considered as the most important and expensive part in the wind system. Therefore, it's important to understand deeply the behaviour of turbine blades. In this research paper, full details were presented to analyze and optimize the behaviour and performance of the blade of the small horizontal axis wind turbine (less than 1 KW). QBlade software was used to simulate the wind turbine blade during the working conditions. The mathematical formulations which used in QBlade software were based on the Blade Element Momentum method (BEM). It was studied deeply the effect of design parameters (Twist Angle and Chord length) on the behaviour and performance of the wind turbine. It was used SG6043 airfoil for 10 different sections of 1.17 m blade length. The obtained results were of high accuracy, and it was proved that the QBlade software is reliable to analyze the blades of wind turbine. The paper exhibits the necessary steps to build and optimize the blade of wind turbine, in addition to the features and advantages of the software.
Conference: 2nd International Conference on Sustainable Engineering Techniques (ICSET 2019) 
URI: http://hdl.handle.net/11420/2932
DOI: 10.15480/882.2336
ISSN: 1757-899X
Institute: Laser- und Anlagensystemtechnik G-2 
Type: InProceedings (Aufsatz / Paper einer Konferenz etc.)
License: CC BY 3.0 (Attribution) CC BY 3.0 (Attribution)
Appears in Collections:Publications with fulltext

Files in This Item:
File Description SizeFormat
Alaskari_2019_IOP_Conf._Ser.__Mater._Sci._Eng._518_032020.pdfVerlags-PDF1,66 MBAdobe PDFThumbnail
View/Open
Show full item record

Page view(s)

343
Last Week
10
Last month
35
checked on Oct 22, 2020

Download(s)

225
checked on Oct 22, 2020

Google ScholarTM

Check

Note about this record

Export

This item is licensed under a Creative Commons License Creative Commons