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Research Article

Investigation of S1046 profile bladed vertical axis wind turbine and artificial intelligence-based performance evaluation

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Pages 8771-8790 | Received 31 Jan 2023, Accepted 17 Jun 2023, Published online: 07 Jul 2023
 

ABSTRACT

It is very important to determine the parameters affecting the performance of the Darrieus-type wind turbine and its effects. In particular, it should be specified at which TSR value the peak power coefficient is obtained. In this study, standard and modified S1046 airfoils and aspect ratios (H/D), angle of attack (AoA), turbulent/non-turbulent flow (WT), number of blades (N), and chord length (C) were tested. Then, four different machines learning-based multi-output regression models (Decision Tree, Linear Regression, K-Nearest Neighbors, and Random Forest) were trained to make performance predictions with the data obtained from the evaluated test setup. Thirdly, feature selection based on the Random Forest algorithm, which is the best performing multi-output regression model, was performed using data due to changing parameter values on the established system. The importance of the parameters was determined. The operating range of the system was at relatively low TSR values. When analyzing the blade profile, the modified blade version performed better in certain combinations compared to the standard profile. Maximum power coefficient (Cp) was obtained from the modified turbine structure with 5 degrees of attack angle, H/D = 1.85, and C = 60 mm. The present study aims to increase the turbine’s power coefficient and aims to predict results as power coefficient without doing many different experiments.

Nomenclature

H=

Height of Blade (mm)

D=

Diameter of Turbine (mm)

d=

Diameter of Grid Hole (mm)

H/D=

Aspect Ratio (-)

x=

Grid Distance (mm)

Cp=

Power Coefficient (-)

λ=

Tip Speed Ratio (-)

T=

Torque (Ncm)

n=

Number of Revolution (rpm)

S=

Solidity (-)

Ls=

Strut Length (mm)

Reb=

Reynolds Number (-)

U=

Free Stream Velocity (m/s)

ω=

Angular Velocity (rad/s)

R=

The radius of the Turbine (mm)

DC=

Diameter of Connection Plate (mm)

Dh=

Hole Diameter on Connection Plate (mm)

AoA=

The angle of Attack (Degree)

C=

Chord length (mm)

Dd=

Drilled hole

u’=

Fluctuation Velocity (m/s)

WT=

With Turbulence

urms=

Root Mean Square of fluctuation

β=

Porosity (-)

Acknowledgements

The present work is supported by The Scientific and Technological Research Council of Turkey, TUBITAK project no:315M478, and Erciyes University, FDK-2019-9685, FDA-2018-8258. Moreover, the authors would like to thank Nigde Omer Halisdemir University, Mechanical Engineering Dept., Aerodynamics Laboratory, and Erciyes University, Faculty of Aeronautics and Astronautics Subsonic Wind Tunnel Laboratory.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

The work was supported by the Bilimsel Araştırma Projeleri, Erciyes Üniversitesi [FDA-2018-8258]; Türkiye Bilimsel ve Teknolojik Araştırma Kurumu [315M478].

Notes on contributors

Suleyman Osmanli

Suleyman Osmanli born in Turkiye 1986, graduated in Mechanical Engineering from Cukurova university in 2011 and received his Master’s in Mechanical Engineering in 2016 and PhD. in 2021. His areas of interest include , fluid mechanics, aerodynamics, flow controls and renewable energy sources.

Selahaddin Orhan Akansu

Selahaddin Orhan Akansu received PhD. degree in Mechanical Engineerig from Erciyes University in 1986. Currently, he is working as Professor in the Department of Mechanical Engineerig. His research areas are engineering, fuels, combustion and thermodynamics.

Nuh Azginoglu

Nuh Azginoglu born in 1987 in Turkiye. He received bechalor, master and PhD. degrees in Computer Engineerig from Erciyes University in 2010, 2013 and 2019 respectively. Research areas are bioinformatics, artificial intelligent, sofware.

Yahya Erkan Akansu

Yahya Erkan Akansu received PhD. degree in Mechanical Engineerig from Karadeniz Technical University in 2004. Currently, he is working as Professor in the Department of Mechanical Engineerig in Nigde Omer Halisdemir University. His research areas are active and passive flow controls, aerodynamics and thermodynamics.

Ibrahim Develi

Ibrahim Develi received PhD. degree in lectronical Engineerig from Erciyes University in 2003. Currently, he is working as Professor in the Department of Electrical and Electronical Engineerig in Erciyes University. His research areas are Technical Sciences, Information Systems, Communication and Control Engineering, Communication Engineering, Information Theory, Communication System Theory.

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