skip to main content

2D Numerical Simulation and Sensitive Analysis of H-Darrieus Wind Turbine

1PhD candidate in Energy Systems Engineering, Sharif University of Technology, Tehran, P.O.Box 14565-114, Iran, Islamic Republic of

2Associate Professor of Department of Energy Engineering, Sharif University of Technology, Tehran, P.O.Box 14565-114, Iran, Islamic Republic of

Published: 18 Feb 2018.
Editor(s):

Citation Format:
Abstract

Recently, a lot of attention has been devoted to the use of Darrieus wind turbines in urban areas. The aerodynamics of a Darrieus turbine are very complex due to dynamic stall and changing forces on the turbine triggered by changing horizontal angles. In this study, the aerodynamics of H-rotor vertical axis wind turbine (VAWT) has been studied using computational fluid dynamics via two different turbulence models. Shear stress transport (SST) k-ω turbulence model was used to simulate a 2D unsteady model of the H-Darrieus turbine. In order to complete this simulation, sensitivity analysis of the effective turbine parameters such as solidity factor, airfoil shape, wind velocity and shaft diameter were done. To simulate the flow through the turbine, a 2D simplified computational domain has been generated. Then fine mesh for each case consisting of different turbulence models and dimensions has been generated. Each mesh in this simulation dependent on effective parameters consisted of domain size, mesh quality, time step and total revolution. The sliding mesh method was applied to evaluate the unsteady interaction between the stationary and rotating components. Previous works just simulated turbine, while in our study sensitivity analysis of effective parameters was done. The simulation results closely match the experimental data, providing an efficient and reliable foundation to study wind turbine aerodynamics. This also demonstrates computing the best value of the effective parameter. The sensitivity analysis revealed best value of the effective parameter that could be used in the process of designing turbine. This work provides the first step in developing an accurate 3D aerodynamic modeling of Darrieus wind turbines.

Article History: Received :August 19th 2017; Received: December 15th 2017; Accepted: Januari 14th 2018; Available online

How to Cite This Article: Saryazdi, S. M. E. and Boroushaki, M. (2018) 2D Numerical Simulation and Sensitive Analysis of H-Darrieus Wind Turbine. Int. Journal of Renewable Energy Development,7(1),23-34

https://doi.org/10.14710/ijred.7.1.23-24

Fulltext View|Download
Keywords: Darrieus; VAWT; CFD, Dynamic stall; Sensitive analysis

Article Metrics:

  1. Allet, A., Paraschivoiu, L (1995) Viscous Flow and Dynamic Stall Effects on Vertical-Axis Wind Turbines. International Journal of Rotating Machinery, 2(1), 1-14
  2. Betz, A. (1920) Das Maximum der theoretisch möglichenAusnützung des Windes durch Windmotoren. Zeitschriftfür das gesamte Turbinenwesen. 26, 307–309
  3. Biadgo A. M., Simonovic, A., Komarov, D., & Stupar, S. (2013) Numerical and Analytical Investigation of Vertical Axis Wind Turbine. FME Transactions, 41, 49-58
  4. El-Samanoudy, M., Ghorab, A. A. E., & Youssef, S. Z. (2010) Effect of some design parameters on the performance of a Giromill vertical axis wind turbine. AinShams Engineering Journal, 1(1), 85-95
  5. Hamada, K., et al. (2008) Investigation of scale economies for African biogas field study. Solar Energy, 82(4), 911–917
  6. Hwang, L. S., Lee, Y. H., & Kim, S. J. (2009) Optimization of cycloidal water turbine and the performance improvement by individual blade control. Applied Energy, 86(9), 1532-1540
  7. Horiuchi, K., Ushiyama, I., & Seki, K. (2005) Straight wing vertical axis wind turbines: A flow analysis. Wind Engineering, 29(3), 243–252
  8. Howell, R., et al. (2010) Wind tunnel and numerical study of a small vertical axis wind turbine. Renewable Energy, 35(2), 412-422
  9. Guerri, O., Sakout, A., & Bouhadef, K. (2007) Unsteady flow simulation and dynamic stall around vertical axis wind turbine blades. AIAA aerodynamics conference Reno
  10. Launder, B. E., & Spalding, D. B. (1972) Lectures in Mathematical Models of Turbulence. Academic Press, London, England
  11. Lee, T., & Gerontakos, P. (2004) Investigation of flow over an oscillating airfoil. Journal of Fluid Mechanics, 512, 313-341
  12. Menter, F. R., Kuntz, M., & Langtry, R. (1990) Ten years of industrial experience with the SST turbulence model. Flow Turbulence and Combustion, 77, 277-303
  13. RacitiCastelli, M., Englaro, A., & Benini, E., (2011) Darrieus wind turbine: proposal for a newperformance prediction model based on CFD. Energy, 36(8), 4919–4934
  14. Spera, D. (2009) Wind Turbine Technology, fundamental concepts of wind turbine engineering. ASME Press
  15. Wang, S., Ingham, D. B., Ma, L., Pourkashanian, M., Tao, Z. (2010) Numerical investigations on dynamic stall of low Reynolds number flow around oscillating airfoils Computers & Fluids, 39(9), 1529-1541
  16. White, M. F. Fluid mechanics. Ed. McGraw-hill

Last update:

  1. High-Fidelity Modeling and Investigation on Blade Shape and Twist Angle Effects on the Efficiency of Small-Scale Wind Turbines

    Widad Yossri, Samah Ben Ayed, Abdessattar Abdelkefi. Energies, 16 (8), 2023. doi: 10.3390/en16083430
  2. A computational fluid dynamics investigation of subsonic wing designs for unmanned aerial vehicle application

    Z Siddiqi, JW Lee. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233 (15), 2019. doi: 10.1177/0954410019852553
  3. Modeling of the aerodynamics of the integrated four blades (VAWT) having movable vanes

    Kadhim H. Suffer, Amina K. Hussain, S. Hussain. 2ND INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING & SCIENCE (IConMEAS 2019), 2213 , 2020. doi: 10.1063/5.0000184
  4. Numerical efficiency evaluation of a vertical axis turbine equipped with 4 digits and 5 digits NACA airfoils

    Florina Costea, Ion Malael, M.C. Balan, F. Bode, C. Croitoru, A. Dogeanu, A. Georgescu, C. Georgescu, I. Nastase, M. Sandu. E3S Web of Conferences, 85 , 2019. doi: 10.1051/e3sconf/20198503001
  5. Numerical investigation of a reduced scale Lenz wind turbine model for aerodynamic tunnel applications

    I O Bucur, I Malael, D Preda. IOP Conference Series: Earth and Environmental Science, 664 (1), 2021. doi: 10.1088/1755-1315/664/1/012027
  6. A review on modifications and performance assessment techniques in cross-flow hydrokinetic system

    Md. Mustafa Kamal, R.P. Saini. Sustainable Energy Technologies and Assessments, 51 , 2022. doi: 10.1016/j.seta.2021.101933
  7. Numerical investigation of the aerodynamic characteristics of a coupling of the three blades VAWT with a movable vanes

    Kadhim H. Suffer, Isam E. Yousif, Salsuwanda Bin Selamat. APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019), 2131 , 2019. doi: 10.1063/1.5118059
  8. The Modeling of Cross Flow Runner With Computational Fluid Dynamics on Microhydro Tube

    Purwanto, Budiyono, Hermawan, Sudarno, B. Warsito, Sudarno, T. Triadi Putranto. E3S Web of Conferences, 202 , 2020. doi: 10.1051/e3sconf/202020208008

Last update: 2024-11-21 19:40:20

  1. A computational fluid dynamics investigation of subsonic wing designs for unmanned aerial vehicle application

    Z Siddiqi, JW Lee. Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, 233 (15), 2019. doi: 10.1177/0954410019852553
  2. Modeling of the aerodynamics of the integrated four blades (VAWT) having movable vanes

    Kadhim H. Suffer, Amina K. Hussain, S. Hussain. 2ND INTERNATIONAL CONFERENCE ON MATERIALS ENGINEERING & SCIENCE (IConMEAS 2019), 2213 , 2020. doi: 10.1063/5.0000184
  3. Numerical efficiency evaluation of a vertical axis turbine equipped with 4 digits and 5 digits NACA airfoils

    Florina Costea, Ion Malael, M.C. Balan, F. Bode, C. Croitoru, A. Dogeanu, A. Georgescu, C. Georgescu, I. Nastase, M. Sandu. E3S Web of Conferences, 85 , 2019. doi: 10.1051/e3sconf/20198503001
  4. Numerical investigation of the aerodynamic characteristics of a coupling of the three blades VAWT with a movable vanes

    Kadhim H. Suffer, Isam E. Yousif, Salsuwanda Bin Selamat. APPLIED PHYSICS OF CONDENSED MATTER (APCOM 2019), 2131 , 2019. doi: 10.1063/1.5118059
  5. Effect of two-dimensional profile optimization on vertical axis wind turbine power performance

    Yiğit C.. Tehnicki Vjesnik, 28 (1), 2021. doi: 10.17559/TV-20191112194157
  6. A study on the effect of technology parameters on 3D geometric surface parameters in ball-end milling process

    Chau M.Q.. Journal of Mechanical Engineering Research and Developments, 43 (5), 2020.
  7. The Modeling of Cross Flow Runner With Computational Fluid Dynamics on Microhydro Tube

    Purwanto, Budiyono, Hermawan, Sudarno, B. Warsito, Sudarno, T. Triadi Putranto. E3S Web of Conferences, 202 , 2020. doi: 10.1051/e3sconf/202020208008