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Effective short-cut modelling of wind park efficiency

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  • Kiranoudis, C.T.
  • Maroulis, Z.B.

Abstract

A short-cut model suitable for the estimation of the overall wind park efficiency was developed. Its parameters were estimated by fitting the predictions of a detailed explicit kinematic wake model for a wide range of wind velocities, number of turbines utilized, relative distances of turbines and various types of commercial wind turbines. An empirical model was used to represent the turbine power curve. The turbine grid adopted was the uniform one, where each individual machine is equally placed between its neighbours. The proposed short-cut model represented the full model in a quite satisfactory way and it was presented in a suitable formulation for dealing with wind park preliminary design problems. The effect of wind direction was also taken into consideration and was properly analysed.

Suggested Citation

  • Kiranoudis, C.T. & Maroulis, Z.B., 1997. "Effective short-cut modelling of wind park efficiency," Renewable Energy, Elsevier, vol. 11(4), pages 439-457.
    • Handle: RePEc:eee:renene:v:11:y:1997:i:4:p:439-457
    DOI: 10.1016/S0960-1481(97)00011-6
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    Cited by:

    1. Pérez Albornoz, C. & Escalante Soberanis, M.A. & Ramírez Rivera, V. & Rivero, M., 2022. "Review of atmospheric stability estimations for wind power applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 163(C).
    2. Matthias Ritter & Simone Pieralli & Martin Odening, 2017. "Neighborhood Effects in Wind Farm Performance: A Regression Approach," Energies, MDPI, vol. 10(3), pages 1-16, March.
    3. Joselin Herbert, G.M. & Iniyan, S. & Amutha, D., 2014. "A review of technical issues on the development of wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 619-641.
    4. Bastankhah, Majid & Porté-Agel, Fernando, 2014. "A new analytical model for wind-turbine wakes," Renewable Energy, Elsevier, vol. 70(C), pages 116-123.
    5. Kiranoudis, C. T. & Voros, N. G. & Maroulis, Z. B., 2001. "Short-cut design of wind farms," Energy Policy, Elsevier, vol. 29(7), pages 567-578, June.
    6. Matthias Ritter & Simone Pieralli & HMartin Odening, 2016. "Neighborhood Effects in Wind Farm Performance: An Econometric Approach," SFB 649 Discussion Papers SFB649DP2016-012, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    7. González-Longatt, F. & Wall, P. & Terzija, V., 2012. "Wake effect in wind farm performance: Steady-state and dynamic behavior," Renewable Energy, Elsevier, vol. 39(1), pages 329-338.
    8. Serrano González, Javier & Burgos Payán, Manuel & Santos, Jesús Manuel Riquelme & González-Longatt, Francisco, 2014. "A review and recent developments in the optimal wind-turbine micro-siting problem," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 133-144.
    9. Ouammi, Ahmed & Sacile, Roberto & Zejli, Driss & Mimet, Abdelaziz & Benchrifa, Rachid, 2010. "Sustainability of a wind power plant: Application to different Moroccan sites," Energy, Elsevier, vol. 35(10), pages 4226-4236.
    10. Yang, Zhixue & Ren, Zhouyang & Li, Zhenwen & Xu, Yan & Li, Hui & Li, Wenyuan & Hu, Xiuqiong, 2022. "A comprehensive analysis method for levelized cost of energy in tidal current power generation farms," Renewable Energy, Elsevier, vol. 182(C), pages 982-991.
    11. Shaaban, S. & Albatal, A. & Mohamed, M.H., 2018. "Optimization of H-Rotor Darrieus turbines' mutual interaction in staggered arrangements," Renewable Energy, Elsevier, vol. 125(C), pages 87-99.
    12. Gonzalez-Rodriguez, Angel G. & Burgos-Payan, Manuel & Riquelme-Santos, Jesus & Serrano-Gonzalez, Javier, 2015. "Reducing computational effort in the calculation of annual energy produced in wind farms," Renewable and Sustainable Energy Reviews, Elsevier, vol. 43(C), pages 656-665.
    13. Ouammi, Ahmed & Ghigliotti, Valeria & Robba, Michela & Mimet, Abdelaziz & Sacile, Roberto, 2012. "A decision support system for the optimal exploitation of wind energy on regional scale," Renewable Energy, Elsevier, vol. 37(1), pages 299-309.

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