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Feasibility analysis of wind-energy utilization in Croatia

Author

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  • Feretić, Danilo
  • Tomšić, Željko
  • Čavlina, Nikola

Abstract

The competitiveness of wind powered generators built in Croatia has been investigated. Wind characteristics at suitable sites at 35-m height have been calculated by applying Weibull wind-distribution functions with altitude corrections suggested by Justus. Two sites on the Adriatic coast have been identified as promising locations and analyzed in detail, using a generally applicable method. Wind-power utilization at one of the sites with the best wind-energy potential in Croatia is now marginally competitive with fossil-fuel systems.

Suggested Citation

  • Feretić, Danilo & Tomšić, Željko & Čavlina, Nikola, 1999. "Feasibility analysis of wind-energy utilization in Croatia," Energy, Elsevier, vol. 24(3), pages 239-246.
    • Handle: RePEc:eee:energy:v:24:y:1999:i:3:p:239-246
    DOI: 10.1016/S0360-5442(98)00088-7
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    Cited by:

    1. Morales, J.M. & Mínguez, R. & Conejo, A.J., 2010. "A methodology to generate statistically dependent wind speed scenarios," Applied Energy, Elsevier, vol. 87(3), pages 843-855, March.
    2. Murthy, K.S.R. & Rahi, O.P., 2017. "A comprehensive review of wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 72(C), pages 1320-1342.
    3. Celik, A.N, 2002. "The system performance of autonomous photovoltaic–wind hybrid energy systems using synthetically generated weather data," Renewable Energy, Elsevier, vol. 27(1), pages 107-121.
    4. Celik, Ali N. & Kolhe, Mohan, 2013. "Generalized feed-forward based method for wind energy prediction," Applied Energy, Elsevier, vol. 101(C), pages 582-588.
    5. Mostafaeipour, Ali & Jadidi, Mohsen & Mohammadi, Kasra & Sedaghat, Ahmad, 2014. "An analysis of wind energy potential and economic evaluation in Zahedan, Iran," Renewable and Sustainable Energy Reviews, Elsevier, vol. 30(C), pages 641-650.
    6. Cabello, M. & Orza, J.A.G., 2010. "Wind speed analysis in the province of Alicante, Spain. Potential for small-scale wind turbines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3185-3191, December.
    7. Celik, A.N., 2003. "Assessing the suitability of wind speed probabilty distribution functions based on wind power density," Renewable Energy, Elsevier, vol. 28(10), pages 1563-1574.
    8. 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.

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