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Aerodynamic design of horizontal axis wind turbine with innovative local linearization of chord and twist distributions

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  • Tahani, Mojtaba
  • Kavari, Ghazale
  • Masdari, Mehran
  • Mirhosseini, Mojtaba

Abstract

This study is aimed to aerodynamically design a 1 mega-Watt horizontal axis wind turbine in order to obtain the maximum power coefficient by linearizing the chord and twist distributions. A new linearization method has been used for chord and twist distributions by crossing tangent line through different points on them. The results have determined the best point along chord and twist distribution which has higher total power coefficient in the linearization method. When the distribution of chord length and twist angle is linear, blade manufacturing becomes more accurate and easier. Since the geometry of the blades determines the power generated by rotor, designing the blade is a very important issue. Herein, calculations are done for different types of airfoil families namely Risø-A1-21, Risø-A1-18, S809, S814 and Du 93-W-210. Hence, the effect of selecting different airfoil families is also indicated. Lift and drag coefficients of the selected airfoils have been extracted from airfoil catalogue which are determined by XFOIL. Optimum linearized chord and twist distribution by considering total power coefficient as optimization criterion is determined and observed that 60%–64% and 30%–37% of the blade span-wise are the best places for optimum linearization of chord and twist, respectively.

Suggested Citation

  • Tahani, Mojtaba & Kavari, Ghazale & Masdari, Mehran & Mirhosseini, Mojtaba, 2017. "Aerodynamic design of horizontal axis wind turbine with innovative local linearization of chord and twist distributions," Energy, Elsevier, vol. 131(C), pages 78-91.
  • Handle: RePEc:eee:energy:v:131:y:2017:i:c:p:78-91
    DOI: 10.1016/j.energy.2017.05.033
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    References listed on IDEAS

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    5. Yossri, W. & Ben Ayed, S. & Abdelkefi, A., 2023. "Evaluation of the efficiency of bioinspired blade designs for low-speed small-scale wind turbines with the presence of inflow turbulence effects," Energy, Elsevier, vol. 273(C).
    6. Shen, Xin & Chen, Jinge & Hu, Ping & Zhu, Xiaocheng & Du, Zhaohui, 2018. "Study of the unsteady aerodynamics of floating wind turbines," Energy, Elsevier, vol. 145(C), pages 793-809.
    7. Moghadassian, Behnam & Sharma, Anupam, 2020. "Designing wind turbine rotor blades to enhance energy capture in turbine arrays," Renewable Energy, Elsevier, vol. 148(C), pages 651-664.
    8. Jia, Liangyue & Hao, Jia & Hall, John & Nejadkhaki, Hamid Khakpour & Wang, Guoxin & Yan, Yan & Sun, Mengyuan, 2021. "A reinforcement learning based blade twist angle distribution searching method for optimizing wind turbine energy power," Energy, Elsevier, vol. 215(PA).
    9. Mohammed Debbache & Messaoud Hazmoune & Semcheddine Derfouf & Dana-Alexandra Ciupageanu & Gheorghe Lazaroiu, 2021. "Wind Blade Twist Correction for Enhanced Annual Energy Production of Wind Turbines," Sustainability, MDPI, vol. 13(12), pages 1-17, June.
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    11. Dallatu Abbas Umar & Chong Tak Yaw & Siaw Paw Koh & Sieh Kiong Tiong & Ammar Ahmed Alkahtani & Talal Yusaf, 2022. "Design and Optimization of a Small-Scale Horizontal Axis Wind Turbine Blade for Energy Harvesting at Low Wind Profile Areas," Energies, MDPI, vol. 15(9), pages 1-22, April.
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    14. Alkhabbaz, Ali & Yang, Ho-Seong & Weerakoon, A.H Samitha & Lee, Young-Ho, 2021. "A novel linearization approach of chord and twist angle distribution for 10 kW horizontal axis wind turbine," Renewable Energy, Elsevier, vol. 178(C), pages 1398-1420.

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