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Capacity factor of wind turbines

Author

Listed:
  • Abed, K.A.
  • El-Mallah, A.A.
Abstract
The power generated by a wind turbine depends on both the design characteristics of the turbine and the properties of the wind resource. These parameters determine the capacity factor (ratio of average power output to rated power of the turbine). Since detailed information on the wind-speed frequency is often lacking, the shape factor (k) of the Weibull distribution is taken to be equal to 2, which may lead to significant errors. It is our aim to estimate capacity factors for shape factors between 1.5 and 3 and for sites with average wind speeds ranging from 4 to 8 m/s. The results have been analyzed to obtain a general form for the capacity factor. Our method may be useful to turbine manufacturers in designing electronic control systems.

Suggested Citation

  • Abed, K.A. & El-Mallah, A.A., 1997. "Capacity factor of wind turbines," Energy, Elsevier, vol. 22(5), pages 487-491.
    • Handle: RePEc:eee:energy:v:22:y:1997:i:5:p:487-491
    DOI: 10.1016/S0360-5442(96)00146-6
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    Cited by:

    1. Xiaolei Liu & Motohiko Murai, 2022. "Engineering Possibility Studies of a Novel Cylinder-Type FOWT Using Torus Structure with Annular Flow," Energies, MDPI, vol. 15(13), pages 1-16, July.
    2. Song, Dongran & Yang, Yinggang & Zheng, Songyue & Tang, Weiyi & Yang, Jian & Su, Mei & Yang, Xuebing & Joo, Young Hoon, 2019. "Capacity factor estimation of variable-speed wind turbines considering the coupled influence of the QN-curve and the air density," Energy, Elsevier, vol. 183(C), pages 1049-1060.
    3. Mercure, Jean-François & Salas, Pablo, 2012. "An assessement of global energy resource economic potentials," Energy, Elsevier, vol. 46(1), pages 322-336.
    4. Sliz-Szkliniarz, Beata & Vogt, Joachim, 2011. "GIS-based approach for the evaluation of wind energy potential: A case study for the Kujawsko-Pomorskie Voivodeship," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(3), pages 1696-1707, April.
    5. Suzer, Ahmet Esat & Atasoy, Vehbi Emrah & Ekici, Selcuk, 2021. "Developing a holistic simulation approach for parametric techno-economic analysis of wind energy," Energy Policy, Elsevier, vol. 149(C).
    6. A Albani & MZ Ibrahim & KH Yong & ZM Yusop & MA Jusoh & AR Ridzuan, 2021. "The wind energy potential in Kudat Malaysia by considering the levelized cost of energy for combined wind turbine capacities," Energy & Environment, , vol. 32(7), pages 1149-1169, November.
    7. Albadi, M.H. & El-Saadany, E.F., 2010. "Optimum turbine-site matching," Energy, Elsevier, vol. 35(9), pages 3593-3602.
    8. Masseran, Nurulkamal, 2015. "Evaluating wind power density models and their statistical properties," Energy, Elsevier, vol. 84(C), pages 533-541.
    9. Kies, Alexander & Schyska, Bruno U. & Bilousova, Mariia & El Sayed, Omar & Jurasz, Jakub & Stoecker, Horst, 2021. "Critical review of renewable generation datasets and their implications for European power system models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 152(C).
    10. Amina Bensalah & Georges Barakat & Yacine Amara, 2022. "Electrical Generators for Large Wind Turbine: Trends and Challenges," Energies, MDPI, vol. 15(18), pages 1-36, September.
    11. Khraiwish Dalabeeh, Ali S., 2017. "Techno-economic analysis of wind power generation for selected locations in Jordan," Renewable Energy, Elsevier, vol. 101(C), pages 1369-1378.
    12. Hoogwijk, Monique & de Vries, Bert & Turkenburg, Wim, 2004. "Assessment of the global and regional geographical, technical and economic potential of onshore wind energy," Energy Economics, Elsevier, vol. 26(5), pages 889-919, September.
    13. Chang, Tian-Pau & Liu, Feng-Jiao & Ko, Hong-Hsi & Cheng, Shih-Ping & Sun, Li-Chung & Kuo, Shye-Chorng, 2014. "Comparative analysis on power curve models of wind turbine generator in estimating capacity factor," Energy, Elsevier, vol. 73(C), pages 88-95.
    14. Jean-Francois Mercure & Pablo Salas, 2013. "An assessment of energy resources for global decarbonisation," 4CMR Working Paper Series 002, University of Cambridge, Department of Land Economy, Cambridge Centre for Climate Change Mitigation Research.
    15. Daaou Nedjari, H. & Haddouche, S. Kheder & Balehouane, A. & Guerri, O., 2018. "Optimal windy sites in Algeria: Potential and perspectives," Energy, Elsevier, vol. 147(C), pages 1240-1255.
    16. Carta, J.A. & Ramírez, P. & Velázquez, S., 2009. "A review of wind speed probability distributions used in wind energy analysis: Case studies in the Canary Islands," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(5), pages 933-955, June.
    17. de Medeiros, Armando Lúcio Ramos & Araújo, Alex Maurício & de Oliveira Filho, Oyama Douglas Queiroz & Rohatgi, Janardan & dos Santos, Maurílio José, 2015. "Analysis of design parameters of large-sized wind turbines by non-dimensional model," Energy, Elsevier, vol. 93(P1), pages 1146-1154.
    18. Alexander Kies & Bruno U. Schyska & Lueder Von Bremen, 2016. "Curtailment in a Highly Renewable Power System and Its Effect on Capacity Factors," Energies, MDPI, vol. 9(7), pages 1-18, June.
    19. de Vries, Bert J.M. & van Vuuren, Detlef P. & Hoogwijk, Monique M., 2007. "Renewable energy sources: Their global potential for the first-half of the 21st century at a global level: An integrated approach," Energy Policy, Elsevier, vol. 35(4), pages 2590-2610, April.

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