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Pitch angle control for a small-scale Darrieus vertical axis wind turbine with straight blades (H-Type VAWT)

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  • Abdalrahman, Gebreel
  • Melek, William
  • Lien, Fue-Sang

Abstract

Unlike horizontal axis wind turbines (HAWTs), the Darrieus vertical axis wind turbine (H-type VAWT) has been the subject of only a few recent studies directed at improving its self-starting capability and/or aerodynamic performance. The technique currently used for improving the performance of this type of turbine is pitch angle control. This paper presents intelligent blade pitch control for enhancing the performance of H-type VAWTs with respect to power output. To determine the optimum pitch angles, ANSYS Fluent Computational Fluid Dynamics (CFD) software was used for a study of the aerodynamic performance of a 2D variable pitch angle H-type VAWT at a variety of tip speed ratios (TSRs). For each case examined, the power coefficient (Cp) was calculated and compared to published experimental and CFD findings. The results obtained from the CFD model were then applied for the construction of an aerodynamic model of an H-type VAWT rotor, which constituted a prerequisite for designing an intelligent pitch angle controller using a multilayer perceptron artificial neural network (MLP-ANN) method. The performance of the MLP-ANN blade pitch controller was compared to that of a conventional controller (PID). The findings demonstrate that for an H-type VAWT, compared to a conventional PID controller, an MLP-ANN results in superior power output.

Suggested Citation

  • Abdalrahman, Gebreel & Melek, William & Lien, Fue-Sang, 2017. "Pitch angle control for a small-scale Darrieus vertical axis wind turbine with straight blades (H-Type VAWT)," Renewable Energy, Elsevier, vol. 114(PB), pages 1353-1362.
    • Handle: RePEc:eee:renene:v:114:y:2017:i:pb:p:1353-1362
    DOI: 10.1016/j.renene.2017.07.068
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    References listed on IDEAS

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    Cited by:

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    11. Zhang, Lijun & Gu, Jiawei & Zhu, Huaibao & Hu, Kuoliang & Li, Xiang & Jiao, Liuyang & Miao, Junjie & Liu, Jing & Wang, Zhiwei, 2021. "Rationality research of the adjustment law for the blade pitch angle of H-type vertical-axis wind turbines," Renewable Energy, Elsevier, vol. 167(C), pages 484-496.
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    13. José Luis Torres-Madroñero & Joham Alvarez-Montoya & Daniel Restrepo-Montoya & Jorge Mario Tamayo-Avendaño & César Nieto-Londoño & Julián Sierra-Pérez, 2020. "Technological and Operational Aspects That Limit Small Wind Turbines Performance," Energies, MDPI, vol. 13(22), pages 1-39, November.
    14. Ould Moussa, Mohamed, 2020. "Experimental and numerical performances analysis of a small three blades wind turbine," Energy, Elsevier, vol. 203(C).
    15. Jae-Chan Park & In-Ho Kim & Hyung-Jo Jung, 2019. "Feasibility Study of Fluctuating Wind Pressure around High-Rise Buildings as a Potential Energy-Harvesting Source," Energies, MDPI, vol. 12(21), pages 1-31, October.
    16. Yang, J.J. & He, E.M., 2020. "Coupled modeling and structural vibration control for floating offshore wind turbine," Renewable Energy, Elsevier, vol. 157(C), pages 678-694.
    17. Barnes, Andrew & Marshall-Cross, Daniel & Hughes, Ben Richard, 2021. "Towards a standard approach for future Vertical Axis Wind Turbine aerodynamics research and development," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
    18. Lin Pan & Ze Zhu & Zhaoyang Shi & Leichong Wang, 2021. "Modeling and Investigation of Blade Trailing Edge of Vertical Axis Offshore Wind Turbine," Sustainability, MDPI, vol. 13(19), pages 1-25, September.
    19. Sagharichi, A. & Zamani, M. & Ghasemi, A., 2018. "Effect of solidity on the performance of variable-pitch vertical axis wind turbine," Energy, Elsevier, vol. 161(C), pages 753-775.
    20. Bundi, Josephat Machoka & Ban, Xiaojun & Wekesa, David Wafula & Ding, Shuchen, 2020. "Pitch control of small H-type Darrieus vertical axis wind turbines using advanced gain scheduling techniques," Renewable Energy, Elsevier, vol. 161(C), pages 756-765.
    21. Hosseini, Ehsan & Aghadavoodi, Ehsan & Fernández Ramírez, Luis M., 2020. "Improving response of wind turbines by pitch angle controller based on gain-scheduled recurrent ANFIS type 2 with passive reinforcement learning," Renewable Energy, Elsevier, vol. 157(C), pages 897-910.
    22. Pereira, T.R. & Batista, N.C. & Fonseca, A.R.A. & Cardeira, C. & Oliveira, P. & Melicio, R., 2018. "Darrieus wind turbine prototype: Dynamic modeling parameter identification and control analysis," Energy, Elsevier, vol. 159(C), pages 961-976.

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