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Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile

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  • Abdelsalam, Ali M.
  • El-Askary, W.A.
  • Kotb, M.A.
  • Sakr, I.M.

Abstract

Blade linearization is used to simplify the blade design and reduce the blade manufacturing cost of Small-Scale Horizontal Axis Wind Turbine (SSHAWT). Compared to analytical studies, experimental investigations on the blade linearization of SSHAWT are rare. The present work aims to introduce a simple and efficient design of SSHAWT, and verify its performance experimentally. Two designs of rotor models are proposed and their performance is analyzed. The first one is a classical rotor with non-linear chord and twist distributions and the second one is a new linearized rotor design. Analytical optimizations of the linearized blades are employed through three tuning steps using Blade Element Momentum (BEM) theory. The highest coefficient of correlation with the classical rotor among the linearized rotor is found to be 0.969. The two rotor models, selected based on the optimization results are then fabricated, tested, and compared. The comparison made between the two designs is verified experimentally, at different wind speeds of 5, 6, 8, and 10 m/s. Further, measurements are performed at blade pitching of −3, 0, and 3°. It was found that, the proposed new linear design of the rotor blades has efficient performance, with maximum power coefficient Cpmax=0.426 at tip-speed ratio 5.1 and wind speed 10 m/s. The performance in terms of power coefficient approaches that achieved by non-linear blades. Moreover, there is significant reduction in the blade size volume of the new design by 26% which consequently reduces the blade weight. The results obtained in the present work show higher starting ability and extended operating range of the linearized model at lower wind speed compared with the classical model.

Suggested Citation

  • Abdelsalam, Ali M. & El-Askary, W.A. & Kotb, M.A. & Sakr, I.M., 2021. "Experimental study on small scale horizontal axis wind turbine of analytically-optimized blade with linearized chord twist angle profile," Energy, Elsevier, vol. 216(C).
  • Handle: RePEc:eee:energy:v:216:y:2021:i:c:s0360544220324117
    DOI: 10.1016/j.energy.2020.119304
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    References listed on IDEAS

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    1. Farhan, A. & Hassanpour, A. & Burns, A. & Motlagh, Y. Ghaffari, 2019. "Numerical study of effect of winglet planform and airfoil on a horizontal axis wind turbine performance," Renewable Energy, Elsevier, vol. 131(C), pages 1255-1273.
    2. Wang, Ying & Li, Gaohui & Shen, Sheng & Huang, Diangui & Zheng, Zhongquan, 2018. "Investigation on aerodynamic performance of horizontal axis wind turbine by setting micro-cylinder in front of the blade leading edge," Energy, Elsevier, vol. 143(C), pages 1107-1124.
    3. Fischer, Gunter Reinald & Kipouros, Timoleon & Savill, Anthony Mark, 2014. "Multi-objective optimisation of horizontal axis wind turbine structure and energy production using aerofoil and blade properties as design variables," Renewable Energy, Elsevier, vol. 62(C), pages 506-515.
    4. Singh, Ronit K. & Ahmed, M. Rafiuddin & Zullah, Mohammad Asid & Lee, Young-Ho, 2012. "Design of a low Reynolds number airfoil for small horizontal axis wind turbines," Renewable Energy, Elsevier, vol. 42(C), pages 66-76.
    5. Liu, Xiongwei & Wang, Lin & Tang, Xinzi, 2013. "Optimized linearization of chord and twist angle profiles for fixed-pitch fixed-speed wind turbine blades," Renewable Energy, Elsevier, vol. 57(C), pages 111-119.
    6. Maalawi, K.Y. & Badr, M.A, 2003. "A practical approach for selecting optimum wind rotors," Renewable Energy, Elsevier, vol. 28(5), pages 803-822.
    7. 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.
    8. Syed Ahmed Kabir, Ijaz Fazil & Ng, E.Y.K., 2017. "Insight into stall delay and computation of 3D sectional aerofoil characteristics of NREL phase VI wind turbine using inverse BEM and improvement in BEM analysis accounting for stall delay effect," Energy, Elsevier, vol. 120(C), pages 518-536.
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    Cited by:

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    2. Patricio A. Corbalán & Luciano E. Chiang, 2024. "Fast Power Coefficient vs. Tip–Speed Ratio Curves for Small Wind Turbines with Single-Variable Measurements following a Single Test Run," Energies, MDPI, vol. 17(5), pages 1-23, March.
    3. 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).
    4. 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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