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Numerical investigation of performance refinement of a drag wind rotor using flow augmentation and momentum exchange optimization

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  • Mohammadi, M.
  • Mohammadi, R.
  • Ramadan, A.
  • Mohamed, M.H.

Abstract

Numerical ascertainment of improving performance of modified Savonius rotor as decreasing the minimum wind speed required for initiating the rotation is investigated using 3D flow predictions executed in ANSYS-FLUENT. For making the comparison feasible, the design represented in a similar paper is simulated and performance is compared with empirical data. Different types of nozzles are added after observing acceptable agreement between empirical and simulation results. Nozzle acts like an air intake on the advancing blade and fortifies the acting flow; it also eliminates the reverse moment caused by contacting the flow with returning blade. Therefore, increasing in power coefficient is anticipated. Systematic analysis of obtained torque and power coefficients with and without nozzle are presented. In the next step, this work is dedicated to bucket shape optimization. Buckets with multi-curvature are introduced and have been investigated in three stages. By installing a simple nozzle with tail in front of a Savonius wind turbine with double-curved two stage buckets, the Savonius turbine maximum power coefficient is improved from 0.13 to 0.39.

Suggested Citation

  • Mohammadi, M. & Mohammadi, R. & Ramadan, A. & Mohamed, M.H., 2018. "Numerical investigation of performance refinement of a drag wind rotor using flow augmentation and momentum exchange optimization," Energy, Elsevier, vol. 158(C), pages 592-606.
  • Handle: RePEc:eee:energy:v:158:y:2018:i:c:p:592-606
    DOI: 10.1016/j.energy.2018.06.072
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    References listed on IDEAS

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    1. Afungchui, David & Kamoun, Baddreddinne & Helali, Ali & Ben Djemaa, Abdellatif, 2010. "The unsteady pressure field and the aerodynamic performances of a Savonius rotor based on the discrete vortex method," Renewable Energy, Elsevier, vol. 35(1), pages 307-313.
    2. Mohammadi, M. & Lakestani, M. & Mohamed, M.H., 2018. "Intelligent parameter optimization of Savonius rotor using Artificial Neural Network and Genetic Algorithm," Energy, Elsevier, vol. 143(C), pages 56-68.
    3. Zhou, Tong & Rempfer, Dietmar, 2013. "Numerical study of detailed flow field and performance of Savonius wind turbines," Renewable Energy, Elsevier, vol. 51(C), pages 373-381.
    4. Mohamed, M.H. & Janiga, G. & Pap, E. & Thévenin, D., 2010. "Optimization of Savonius turbines using an obstacle shielding the returning blade," Renewable Energy, Elsevier, vol. 35(11), pages 2618-2626.
    5. Kacprzak, Konrad & Liskiewicz, Grzegorz & Sobczak, Krzysztof, 2013. "Numerical investigation of conventional and modified Savonius wind turbines," Renewable Energy, Elsevier, vol. 60(C), pages 578-585.
    6. Montelpare, Sergio & D'Alessandro, Valerio & Zoppi, Andrea & Ricci, Renato, 2018. "Experimental study on a modified Savonius wind rotor for street lighting systems. Analysis of external appendages and elements," Energy, Elsevier, vol. 144(C), pages 146-158.
    7. Morbiato, T. & Borri, C. & Vitaliani, R., 2014. "Wind energy harvesting from transport systems: A resource estimation assessment," Applied Energy, Elsevier, vol. 133(C), pages 152-168.
    8. Akwa, João Vicente & Vielmo, Horácio Antonio & Petry, Adriane Prisco, 2012. "A review on the performance of Savonius wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 16(5), pages 3054-3064.
    9. Altan, Burçin Deda & Atılgan, Mehmet, 2010. "The use of a curtain design to increase the performance level of a Savonius wind rotors," Renewable Energy, Elsevier, vol. 35(4), pages 821-829.
    10. Gupta, R. & Biswas, A. & Sharma, K.K., 2008. "Comparative study of a three-bucket Savonius rotor with a combined three-bucket Savonius–three-bladed Darrieus rotor," Renewable Energy, Elsevier, vol. 33(9), pages 1974-1981.
    11. Ferrari, G. & Federici, D. & Schito, P. & Inzoli, F. & Mereu, R., 2017. "CFD study of Savonius wind turbine: 3D model validation and parametric analysis," Renewable Energy, Elsevier, vol. 105(C), pages 722-734.
    12. Kamoji, M.A. & Kedare, S.B. & Prabhu, S.V., 2009. "Performance tests on helical Savonius rotors," Renewable Energy, Elsevier, vol. 34(3), pages 521-529.
    13. Roy, Sukanta & Saha, Ujjwal K., 2013. "Review on the numerical investigations into the design and development of Savonius wind rotors," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 73-83.
    14. Chan, C.M. & Bai, H.L. & He, D.Q., 2018. "Blade shape optimization of the Savonius wind turbine using a genetic algorithm," Applied Energy, Elsevier, vol. 213(C), pages 148-157.
    15. Tahani, Mojtaba & Rabbani, Ali & Kasaeian, Alibakhsh & Mehrpooya, Mehdi & Mirhosseini, Mojtaba, 2017. "Design and numerical investigation of Savonius wind turbine with discharge flow directing capability," Energy, Elsevier, vol. 130(C), pages 327-338.
    16. Menet, J.-L., 2004. "A double-step Savonius rotor for local production of electricity: a design study," Renewable Energy, Elsevier, vol. 29(11), pages 1843-1862.
    17. Ramadan, A. & Yousef, K. & Said, M. & Mohamed, M.H., 2018. "Shape optimization and experimental validation of a drag vertical axis wind turbine," Energy, Elsevier, vol. 151(C), pages 839-853.
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    Cited by:

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    3. Anesu Godfrey Chitura & Patrick Mukumba & Ndanduleni Lethole, 2024. "Enhancing the Performance of Savonius Wind Turbines: A Review of Advances Using Multiple Parameters," Energies, MDPI, vol. 17(15), pages 1-17, July.
    4. Guo, Fen & Song, Baowei & Mao, Zhaoyong & Tian, Wenlong, 2020. "Experimental and numerical validation of the influence on Savonius turbine caused by rear deflector," Energy, Elsevier, vol. 196(C).
    5. Khan, Zain Ullah & Ali, Zaib & Uddin, Emad, 2022. "Performance enhancement of vertical axis hydrokinetic turbine using novel blade profile," Renewable Energy, Elsevier, vol. 188(C), pages 801-818.
    6. Shaikh Zishan & Altaf Hossain Molla & Haroon Rashid & Kok Hoe Wong & Ahmad Fazlizan & Molla Shahadat Hossain Lipu & Mohd Tariq & Omar Mutab Alsalami & Mahidur R. Sarker, 2023. "Comprehensive Analysis of Kinetic Energy Recovery Systems for Efficient Energy Harnessing from Unnaturally Generated Wind Sources," Sustainability, MDPI, vol. 15(21), pages 1-18, October.
    7. Kumail Abdulkareem Hadi Al-Gburi & Balasem Abdulameer Jabbar Al-quraishi & Firas Basim Ismail Alnaimi & Ee Sann Tan & Ali Hussein Shamman Al-Safi, 2022. "Experimental and Simulation Investigation of Performance of Scaled Model for a Rotor of a Savonius Wind Turbine," Energies, MDPI, vol. 15(23), pages 1-23, November.
    8. Zhang, Yongchao & Kang, Can & Ji, Yanguang & Li, Qing, 2019. "Experimental and numerical investigation of flow patterns and performance of a modified Savonius hydrokinetic rotor," Renewable Energy, Elsevier, vol. 141(C), pages 1067-1079.

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