Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential

The type of airfoil with small wind turbine blades should be selected based on the wind potential of the area in which the turbine is used. In this study, 10 low Reynolds number airfoils, namely, BW-3, E387, FX 63-137, S822, S834, SD7062, SG6040, SG6043, SG6051, and USNPS4, were selected and their p...

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Main Authors: Vahid Akbari, Mohammad Naghashzadegan, Ramin Kouhikamali, Farhad Afsharpanah, Wahiba Yaïci
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/10/8/687
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author Vahid Akbari
Mohammad Naghashzadegan
Ramin Kouhikamali
Farhad Afsharpanah
Wahiba Yaïci
author_facet Vahid Akbari
Mohammad Naghashzadegan
Ramin Kouhikamali
Farhad Afsharpanah
Wahiba Yaïci
author_sort Vahid Akbari
collection DOAJ
description The type of airfoil with small wind turbine blades should be selected based on the wind potential of the area in which the turbine is used. In this study, 10 low Reynolds number airfoils, namely, BW-3, E387, FX 63-137, S822, S834, SD7062, SG6040, SG6043, SG6051, and USNPS4, were selected and their performance was evaluated in a 1 kW wind turbine in terms of the power coefficient and also the startup time, by performing a multi-objective optimization study. The blade element momentum technique was utilized to perform the calculations of the power coefficient and startup time and the differential evolution algorithm was employed to carry out the optimization. The results reveal that the type of airfoil used in the turbine blade, aside from the aerodynamic performance, completely affects the turbine startup performance. The SG6043 airfoil has the highest power coefficient and the BW-3 airfoil presents the shortest startup time. The high lift-to-drag ratio of the SG6043 airfoil and the low inertia of the turbine blades fitted with the BW-3 airfoil make them suitable for operation in windy regions and areas with low wind speeds, respectively.
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spelling doaj.art-e9edaa8f7bcd4313a02cb172fd92cbc72023-12-01T23:55:39ZengMDPI AGMachines2075-17022022-08-0110868710.3390/machines10080687Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind PotentialVahid Akbari0Mohammad Naghashzadegan1Ramin Kouhikamali2Farhad Afsharpanah3Wahiba Yaïci4Department of Mechanical Engineering, University Campus 2, University of Guilan, Rasht 41996, IranDepartment of Mechanical Engineering, University of Guilan, Rasht 41996, IranDepartment of Mechanical Engineering, University of Guilan, Rasht 41996, IranDepartment of Mechanical Engineering, Babol Noshirvani University of Technology, Babol 47148, IranCanmetENERGY Research Centre, Natural Resources Canada, Ottawa, ON K1A 1M1, CanadaThe type of airfoil with small wind turbine blades should be selected based on the wind potential of the area in which the turbine is used. In this study, 10 low Reynolds number airfoils, namely, BW-3, E387, FX 63-137, S822, S834, SD7062, SG6040, SG6043, SG6051, and USNPS4, were selected and their performance was evaluated in a 1 kW wind turbine in terms of the power coefficient and also the startup time, by performing a multi-objective optimization study. The blade element momentum technique was utilized to perform the calculations of the power coefficient and startup time and the differential evolution algorithm was employed to carry out the optimization. The results reveal that the type of airfoil used in the turbine blade, aside from the aerodynamic performance, completely affects the turbine startup performance. The SG6043 airfoil has the highest power coefficient and the BW-3 airfoil presents the shortest startup time. The high lift-to-drag ratio of the SG6043 airfoil and the low inertia of the turbine blades fitted with the BW-3 airfoil make them suitable for operation in windy regions and areas with low wind speeds, respectively.https://www.mdpi.com/2075-1702/10/8/687multi-objective optimizationsmall wind turbinerenewable energyturbine bladeairfoilwind power
spellingShingle Vahid Akbari
Mohammad Naghashzadegan
Ramin Kouhikamali
Farhad Afsharpanah
Wahiba Yaïci
Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential
Machines
multi-objective optimization
small wind turbine
renewable energy
turbine blade
airfoil
wind power
title Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential
title_full Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential
title_fullStr Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential
title_full_unstemmed Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential
title_short Multi-Objective Optimization and Optimal Airfoil Blade Selection for a Small Horizontal-Axis Wind Turbine (HAWT) for Application in Regions with Various Wind Potential
title_sort multi objective optimization and optimal airfoil blade selection for a small horizontal axis wind turbine hawt for application in regions with various wind potential
topic multi-objective optimization
small wind turbine
renewable energy
turbine blade
airfoil
wind power
url https://www.mdpi.com/2075-1702/10/8/687
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