Optimization of Flanged Diffuser for Small-Scale Wind Power Applications

The development of renewable and clean energy has become more crucial to societies due to the increasing energy demand and fast depletion of fossil fuels. A state-of-theart design for an augmented wind turbine has been introduced in the past years to increase the efficiency of compact horizontal axi...

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Main Authors: Mostafa Radwan Behery, Mostafa Radwan Behery, Djamal Hissein Didane, Djamal Hissein Didane, Bukhari Manshoor, Bukhari Manshoor
Format: Article
Language:en
Published: semarak ilmu 2024
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Online Access:http://eprints.uthm.edu.my/11055/1/J17530_abcbd1cb7a801f17ea0afcc87063717a.pdf
http://eprints.uthm.edu.my/11055/
https://doi.org/10.37934/cfdl.16.7.5470
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author Mostafa Radwan Behery, Mostafa Radwan Behery
Djamal Hissein Didane, Djamal Hissein Didane
Bukhari Manshoor, Bukhari Manshoor
author_facet Mostafa Radwan Behery, Mostafa Radwan Behery
Djamal Hissein Didane, Djamal Hissein Didane
Bukhari Manshoor, Bukhari Manshoor
author_sort Mostafa Radwan Behery, Mostafa Radwan Behery
building UTHM Library
collection Institutional Repository
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
continent Asia
country Malaysia
description The development of renewable and clean energy has become more crucial to societies due to the increasing energy demand and fast depletion of fossil fuels. A state-of-theart design for an augmented wind turbine has been introduced in the past years to increase the efficiency of compact horizontal axis wind turbines, exceeding the ideal Betz’s limit of the maximum energy captured from the wind. The optimization of the flanged diffuser - so-called diffuser augmented wind turbine DAWT - is investigated numerically using the multi-objective genetic algorithm “MOGA”. A 2D computational model is developed using ICEM CFD and solved by ANSYS Fluent. The Turbulence model selected is shear stress transport K-omega, with a pressure-based solver and a coupled algorithm scheme. The optimization objectives are to maximize the velocity ratio at the shroud throat and minimize shroud form dimensions. 517 design points were solved, and the design dimensions were categorized into four types: compact, small, medium, and large design. The results showed that the diffuser dimensions are the main parameters to increase velocity inside the shroud throat, where a long diffuser with a low converging angle drags more air inside the shroud, reaching in some cases more than double the upwind velocity. While the nozzle and flange are also effective in the different design types. It was found that a super long diffuser with a length ratio of 2.9 LD to throat diameter D is optimal with a diverging angle of 7.6˚, accompanied by a nozzle of ratio 1.2 LN/D and 12.6˚ converging angle and a flange length ratio of 0.6 LF/D. This optimal design increased the velocity ratio by almost 2.5 times.
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spelling my.uthm.eprints-110552024-06-04T02:44:01Z http://eprints.uthm.edu.my/11055/ Optimization of Flanged Diffuser for Small-Scale Wind Power Applications Mostafa Radwan Behery, Mostafa Radwan Behery Djamal Hissein Didane, Djamal Hissein Didane Bukhari Manshoor, Bukhari Manshoor TA Engineering (General). Civil engineering (General) The development of renewable and clean energy has become more crucial to societies due to the increasing energy demand and fast depletion of fossil fuels. A state-of-theart design for an augmented wind turbine has been introduced in the past years to increase the efficiency of compact horizontal axis wind turbines, exceeding the ideal Betz’s limit of the maximum energy captured from the wind. The optimization of the flanged diffuser - so-called diffuser augmented wind turbine DAWT - is investigated numerically using the multi-objective genetic algorithm “MOGA”. A 2D computational model is developed using ICEM CFD and solved by ANSYS Fluent. The Turbulence model selected is shear stress transport K-omega, with a pressure-based solver and a coupled algorithm scheme. The optimization objectives are to maximize the velocity ratio at the shroud throat and minimize shroud form dimensions. 517 design points were solved, and the design dimensions were categorized into four types: compact, small, medium, and large design. The results showed that the diffuser dimensions are the main parameters to increase velocity inside the shroud throat, where a long diffuser with a low converging angle drags more air inside the shroud, reaching in some cases more than double the upwind velocity. While the nozzle and flange are also effective in the different design types. It was found that a super long diffuser with a length ratio of 2.9 LD to throat diameter D is optimal with a diverging angle of 7.6˚, accompanied by a nozzle of ratio 1.2 LN/D and 12.6˚ converging angle and a flange length ratio of 0.6 LF/D. This optimal design increased the velocity ratio by almost 2.5 times. semarak ilmu 2024 Article PeerReviewed text en http://eprints.uthm.edu.my/11055/1/J17530_abcbd1cb7a801f17ea0afcc87063717a.pdf Mostafa Radwan Behery, Mostafa Radwan Behery and Djamal Hissein Didane, Djamal Hissein Didane and Bukhari Manshoor, Bukhari Manshoor (2024) Optimization of Flanged Diffuser for Small-Scale Wind Power Applications. CFD Letters, 16 (7). pp. 54-70. ISSN 2180-1363 https://doi.org/10.37934/cfdl.16.7.5470
spellingShingle TA Engineering (General). Civil engineering (General)
Mostafa Radwan Behery, Mostafa Radwan Behery
Djamal Hissein Didane, Djamal Hissein Didane
Bukhari Manshoor, Bukhari Manshoor
Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
title Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
title_full Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
title_fullStr Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
title_full_unstemmed Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
title_short Optimization of Flanged Diffuser for Small-Scale Wind Power Applications
title_sort optimization of flanged diffuser for small-scale wind power applications
topic TA Engineering (General). Civil engineering (General)
url http://eprints.uthm.edu.my/11055/1/J17530_abcbd1cb7a801f17ea0afcc87063717a.pdf
http://eprints.uthm.edu.my/11055/
https://doi.org/10.37934/cfdl.16.7.5470
url_provider http://eprints.uthm.edu.my/