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Evaluation of the performance of the Savonius hydrokinetic turbines in the straight and curved channels using advanced machine learning methods

Author

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  • Khani, Mohammad Sadegh
  • Shahsavani, Younes
  • Mehraein, Mojtaba
  • Soleimani Rad, Mohammad Hossein
  • Nikbakhsh, Amir Abbas

Abstract

Evaluation of the performance of hydrokinetic turbines is an essential subject in the renewable energy field. In this regard, advanced machine learning methods including hybrid CatBoost and standalone Catboost and linear regression were used for the first time for the straight channel data and channel bend data. The hybrid models were developed using whale optimization (WO), grey wolf optimization (GWO), and Bayesian optimization (BO) algorithms. Sensitivity analysis was also conducted to find the most influential parameters in the best model. Results showed that the hybrid models can predict the goal parameters, including the coefficient of the power (CP), the maximum value of the coefficient of the power (CPmax), and the tip speed ratio corresponding to the Cpmax (TSRmax) better than the standalone models. Among the models, GWO-CB is the best model, even in the k-fold cross-validation scenario. The R2 value of the GWO-CB reached 0.97, 0.94, and 0.84 for the CP, CPmax, and TSRmax, respectively. Among the effective parameters, the lateral position of the returning blade deflector and the number of stages had the maximum and minimum effects on the best model, respectively. The effect of the position of the turbines in the channel bend, which was considered in this research for the first time, was significant in the models.

Suggested Citation

  • Khani, Mohammad Sadegh & Shahsavani, Younes & Mehraein, Mojtaba & Soleimani Rad, Mohammad Hossein & Nikbakhsh, Amir Abbas, 2024. "Evaluation of the performance of the Savonius hydrokinetic turbines in the straight and curved channels using advanced machine learning methods," Energy, Elsevier, vol. 290(C).
    • Handle: RePEc:eee:energy:v:290:y:2024:i:c:s0360544223035831
    DOI: 10.1016/j.energy.2023.130189
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    1. Güney, M.S. & Kaygusuz, K., 2010. "Hydrokinetic energy conversion systems: A technology status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 2996-3004, December.
    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. Khani, Mohammad Sadegh & Shahsavani, Younes & Mehraein, Mojtaba & Kisi, Ozgur, 2023. "Performance evaluation of the savonius hydrokinetic turbine using soft computing techniques," Renewable Energy, Elsevier, vol. 215(C).
    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. Shamshirband, Shahaboddin & Petković, Dalibor & Amini, Amineh & Anuar, Nor Badrul & Nikolić, Vlastimir & Ćojbašić, Žarko & Mat Kiah, Miss Laiha & Gani, Abdullah, 2014. "Support vector regression methodology for wind turbine reaction torque prediction with power-split hydrostatic continuous variable transmission," Energy, Elsevier, vol. 67(C), pages 623-630.
    6. Kumar, Anuj & Saini, R.P., 2017. "Performance analysis of a Savonius hydrokinetic turbine having twisted blades," Renewable Energy, Elsevier, vol. 108(C), pages 502-522.
    7. Khan, M.J. & Bhuyan, G. & Iqbal, M.T. & Quaicoe, J.E., 2009. "Hydrokinetic energy conversion systems and assessment of horizontal and vertical axis turbines for river and tidal applications: A technology status review," Applied Energy, Elsevier, vol. 86(10), pages 1823-1835, October.
    8. Vermaak, Herman Jacobus & Kusakana, Kanzumba & Koko, Sandile Philip, 2014. "Status of micro-hydrokinetic river technology in rural applications: A review of literature," Renewable and Sustainable Energy Reviews, Elsevier, vol. 29(C), pages 625-633.
    9. Yuce, M. Ishak & Muratoglu, Abdullah, 2015. "Hydrokinetic energy conversion systems: A technology status review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 72-82.
    10. Kolekar, Nitin & Banerjee, Arindam, 2015. "Performance characterization and placement of a marine hydrokinetic turbine in a tidal channel under boundary proximity and blockage effects," Applied Energy, Elsevier, vol. 148(C), pages 121-133.
    11. Petković, Dalibor & Ćojbašič, Žarko & Nikolić, Vlastimir, 2013. "Adaptive neuro-fuzzy approach for wind turbine power coefficient estimation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 28(C), pages 191-195.
    12. Kumar, Anuj & Saini, R.P., 2017. "Performance analysis of a single stage modified Savonius hydrokinetic turbine having twisted blades," Renewable Energy, Elsevier, vol. 113(C), pages 461-478.
    13. Jianjun Yao & Fengshen Li & Junhua Chen & Zheng Yuan & Wangeng Mai, 2019. "Parameter Analysis of Savonius Hydraulic Turbine Considering the Effect of Reducing Flow Velocity," Energies, MDPI, vol. 13(1), pages 1-16, December.
    14. Payambarpour, S. Abdolkarim & Najafi, Amir F. & Magagnato, Franco, 2020. "Investigation of deflector geometry and turbine aspect ratio effect on 3D modified in-pipe hydro Savonius turbine: Parametric study," Renewable Energy, Elsevier, vol. 148(C), pages 44-59.
    15. Puertas-Frías, Carmen M. & Willson, Clinton S. & García-Salaberri, Pablo A., 2022. "Design and economic analysis of a hydrokinetic turbine for household applications," Renewable Energy, Elsevier, vol. 199(C), pages 587-598.
    16. 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.
    17. Kamoji, M.A. & Kedare, S.B. & Prabhu, S.V., 2009. "Experimental investigations on single stage modified Savonius rotor," Applied Energy, Elsevier, vol. 86(7-8), pages 1064-1073, July.
    18. Behrouzi, Fatemeh & Nakisa, Mehdi & Maimun, Adi & Ahmed, Yasser M., 2016. "Global renewable energy and its potential in Malaysia: A review of Hydrokinetic turbine technology," Renewable and Sustainable Energy Reviews, Elsevier, vol. 62(C), pages 1270-1281.
    19. Jeon, Keum Soo & Jeong, Jun Ik & Pan, Jae-Kyung & Ryu, Ki-Wahn, 2015. "Effects of end plates with various shapes and sizes on helical Savonius wind turbines," Renewable Energy, Elsevier, vol. 79(C), pages 167-176.
    20. Kumar, Anuj & Saini, R.P., 2016. "Performance parameters of Savonius type hydrokinetic turbine – A Review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 64(C), pages 289-310.
    21. Kumar, Dinesh & Sarkar, Shibayan, 2016. "A review on the technology, performance, design optimization, reliability, techno-economics and environmental impacts of hydrokinetic energy conversion systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 58(C), pages 796-813.
    22. Kang, Can & Zhao, Hexiang & Zhang, Yongchao & Ding, Kejin, 2021. "Effects of upstream deflector on flow characteristics and startup performance of a drag-type hydrokinetic rotor," Renewable Energy, Elsevier, vol. 172(C), pages 290-303.
    23. Jaohindy, Placide & McTavish, Sean & Garde, François & Bastide, Alain, 2013. "An analysis of the transient forces acting on Savonius rotors with different aspect ratios," Renewable Energy, Elsevier, vol. 55(C), pages 286-295.
    24. Frikha, Sobhi & Driss, Zied & Ayadi, Emna & Masmoudi, Zied & Abid, Mohamed Salah, 2016. "Numerical and experimental characterization of multi-stage Savonius rotors," Energy, Elsevier, vol. 114(C), pages 382-404.
    25. Patel, Vimal & Eldho, T.I. & Prabhu, S.V., 2019. "Velocity and performance correction methodology for hydrokinetic turbines experimented with different geometry of the channel," Renewable Energy, Elsevier, vol. 131(C), pages 1300-1317.
    26. Golecha, Kailash & Eldho, T.I. & Prabhu, S.V., 2011. "Influence of the deflector plate on the performance of modified Savonius water turbine," Applied Energy, Elsevier, vol. 88(9), pages 3207-3217.
    27. Chong, W.T. & Gwani, M. & Shamshirband, S. & Muzammil, W.K. & Tan, C.J. & Fazlizan, A. & Poh, S.C. & Petković, Dalibor & Wong, K.H., 2016. "Application of adaptive neuro-fuzzy methodology for performance investigation of a power-augmented vertical axis wind turbine," Energy, Elsevier, vol. 102(C), pages 630-636.
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