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Optimum turbine-site matching

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  • Albadi, M.H.
  • El-Saadany, E.F.

Abstract

This paper presents a new formulation for the turbine-site matching problem, based on wind speed characteristics at any site, the power performance curve parameters of any pitch-regulated wind turbine, as well as turbine size and tower height. Wind speed at any site is characterized by the 2-parameter Weibull distribution function and the value of ground friction coefficient (α). The power performance curve is characterized by the cut-in, rated, and cut-out speeds and the rated power. The new Turbine-Site Matching Index (TSMI) is derived based on a generic formulation for Capacity Factor (CF), which includes the effect of turbine tower height (h). Using the CF as a basis for turbine-site matching produces results that are biased towards higher towers with no considerations for the associated costs. The proposed TSMI includes the effects of turbine size and tower height on the Initial Capital Cost (ICC) of wind turbines. The effectiveness and the applicability of the proposed TSMI are illustrated using five case studies. In general, for each turbine, there exists an optimal tower height, at which the value of the TSMI is at its maximum. The results reveal that higher tower heights are not always desirable for optimality.

Suggested Citation

  • Albadi, M.H. & El-Saadany, E.F., 2010. "Optimum turbine-site matching," Energy, Elsevier, vol. 35(9), pages 3593-3602.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:9:p:3593-3602
    DOI: 10.1016/j.energy.2010.04.049
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    References listed on IDEAS

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    Cited by:

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    4. 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.
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    6. Saheb Koussa, D. & Koussa, M. & Hadji, S., 2016. "Assessment of various WTG (wind turbine generators) production in different Algerian's climatic zones," Energy, Elsevier, vol. 96(C), pages 449-460.
    7. 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.
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    12. Islam, M.R. & Saidur, R. & Rahim, N.A., 2011. "Assessment of wind energy potentiality at Kudat and Labuan, Malaysia using Weibull distribution function," Energy, Elsevier, vol. 36(2), pages 985-992.
    13. Francisco Bilendo & Angela Meyer & Hamed Badihi & Ningyun Lu & Philippe Cambron & Bin Jiang, 2022. "Applications and Modeling Techniques of Wind Turbine Power Curve for Wind Farms—A Review," Energies, MDPI, vol. 16(1), pages 1-38, December.
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