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Simulations technique for the design of a vertical axis wind turbine device with experimental validation

Author

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  • Rolland, S.
  • Newton, W.
  • Williams, A.J.
  • Croft, T.N.
  • Gethin, D.T.
  • Cross, M.

Abstract

Computational fluid dynamics (CFDs) simulation tools are developed to analyse the aerodynamic performance of a novel design vertical axis wind turbine (VAWT) and compared against careful data from a 1.6m diameter device in a wind tunnel. The study investigates the extent to which a CFD model employing the simplest turbulence representation can provide a useful input to evaluate the impact of several key operational parameters: wind speed, rotor speed, yaw angle and blade pitch angle. The results show that simple turbulence modelling techniques are sufficient to evaluate the performance of the turbine in the designed operating conditions and can predict when the turbine will run outside each parameter’s operational range. However, such a simple turbulence representation may need further refinement to quantify more precisely the extent to which performance is affected when running some way outside this range.

Suggested Citation

  • Rolland, S. & Newton, W. & Williams, A.J. & Croft, T.N. & Gethin, D.T. & Cross, M., 2013. "Simulations technique for the design of a vertical axis wind turbine device with experimental validation," Applied Energy, Elsevier, vol. 111(C), pages 1195-1203.
    • Handle: RePEc:eee:appene:v:111:y:2013:i:c:p:1195-1203
    DOI: 10.1016/j.apenergy.2013.04.026
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    References listed on IDEAS

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    1. Rolland, S.A. & Thatcher, M. & Newton, W. & Williams, A.J. & Croft, T.N. & Gethin, D.T. & Cross, M., 2013. "Benchmark experiments for simulations of a vertical axis wind turbine," Applied Energy, Elsevier, vol. 111(C), pages 1183-1194.
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    5. Chong, W.T. & Naghavi, M.S. & Poh, S.C. & Mahlia, T.M.I. & Pan, K.C., 2011. "Techno-economic analysis of a wind–solar hybrid renewable energy system with rainwater collection feature for urban high-rise application," Applied Energy, Elsevier, vol. 88(11), pages 4067-4077.
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    Cited by:

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    3. Pagnini, Luisa C. & Burlando, Massimiliano & Repetto, Maria Pia, 2015. "Experimental power curve of small-size wind turbines in turbulent urban environment," Applied Energy, Elsevier, vol. 154(C), pages 112-121.
    4. Hassan, Syed Saddam ul & Javaid, M. Tariq & Rauf, Umar & Nasir, Sheharyar & Shahzad, Aamer & Salamat, Shuaib, 2023. "Systematic investigation of power enhancement of Vertical Axis Wind Turbines using bio-inspired leading edge tubercles," Energy, Elsevier, vol. 270(C).
    5. Cameron Gerrie & Sheikh Zahidul Islam & Sean Gerrie & Naomi Turner & Taimoor Asim, 2023. "3D CFD Modelling of Performance of a Vertical Axis Turbine," Energies, MDPI, vol. 16(3), pages 1-25, January.
    6. Chen, Wei-Hsin & Chen, Ching-Ying & Huang, Chun-Yen & Hwang, Chii-Jong, 2017. "Power output analysis and optimization of two straight-bladed vertical-axis wind turbines," Applied Energy, Elsevier, vol. 185(P1), pages 223-232.
    7. Liu, Xiong & Lu, Cheng & Liang, Shi & Godbole, Ajit & Chen, Yan, 2017. "Vibration-induced aerodynamic loads on large horizontal axis wind turbine blades," Applied Energy, Elsevier, vol. 185(P2), pages 1109-1119.
    8. Wang, Zhenyu & Zhuang, Mei, 2017. "Leading-edge serrations for performance improvement on a vertical-axis wind turbine at low tip-speed-ratios," Applied Energy, Elsevier, vol. 208(C), pages 1184-1197.
    9. Toja-Silva, Francisco & Lopez-Garcia, Oscar & Peralta, Carlos & Navarro, Jorge & Cruz, Ignacio, 2016. "An empirical–heuristic optimization of the building-roof geometry for urban wind energy exploitation on high-rise buildings," Applied Energy, Elsevier, vol. 164(C), pages 769-794.
    10. Yang, Min-Hsiung & Huang, Guan-Ming & Yeh, Rong-Hua, 2016. "Performance investigation of an innovative vertical axis turbine consisting of deflectable blades," Applied Energy, Elsevier, vol. 179(C), pages 875-887.
    11. Liu, Xiong & Lu, Cheng & Li, Gangqiang & Godbole, Ajit & Chen, Yan, 2017. "Effects of aerodynamic damping on the tower load of offshore horizontal axis wind turbines," Applied Energy, Elsevier, vol. 204(C), pages 1101-1114.
    12. Luo, Kun & Zhang, Sanxia & Gao, Zhiying & Wang, Jianwen & Zhang, Liru & Yuan, Renyu & Fan, Jianren & Cen, Kefa, 2015. "Large-eddy simulation and wind-tunnel measurement of aerodynamics and aeroacoustics of a horizontal-axis wind turbine," Renewable Energy, Elsevier, vol. 77(C), pages 351-362.
    13. Acarer, Sercan & Uyulan, Çağlar & Karadeniz, Ziya Haktan, 2020. "Optimization of radial inflow wind turbines for urban wind energy harvesting," Energy, Elsevier, vol. 202(C).
    14. Ying, P. & Chen, Y.K. & Xu, Y.G. & Tian, Y., 2015. "Computational and experimental investigations of an omni-flow wind turbine," Applied Energy, Elsevier, vol. 146(C), pages 74-83.
    15. 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.
    16. Roy, Sukanta & Saha, Ujjwal K., 2015. "Wind tunnel experiments of a newly developed two-bladed Savonius-style wind turbine," Applied Energy, Elsevier, vol. 137(C), pages 117-125.

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