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Present state of wind energy utilisation in Hungary: policy, wind climate, and modelling studies


  • Bartholy, J.
  • Radics, K.
  • Bohoczky, F.


Earlier renewable energy studies suggested that Hungary does not have considerable extractable wind power due to the low mean annual wind speed. Recent technological developments with the remarkable increase of tower height and rotor diameter of wind power stations made it possible to reevaluate wind energy consumption in continental regions such as the Carpathian Basin. This paper presents the policy changes of the Hungarian government concerning the joining of the country to the European Union planned in 2004. In order to support governmental efforts on renewable energy consumption a research project started on mapping potential wind resources of the country. It was essential to measure and analyse the flows in the lower 100-150 m of the boundary layer through vertical profile estimations. Then, serving the optimal siting the WAsP model has been applied to extrapolate the measured data at different regions of Hungary.

Suggested Citation

  • Bartholy, J. & Radics, K. & Bohoczky, F., 2003. "Present state of wind energy utilisation in Hungary: policy, wind climate, and modelling studies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 7(2), pages 175-186, April.
  • Handle: RePEc:eee:rensus:v:7:y:2003:i:2:p:175-186

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    References listed on IDEAS

    1. Peter A. Schulkin, 1993. "Analysis," Challenge, Taylor & Francis Journals, vol. 36(5), pages 59-60, September.
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    Cited by:

    1. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    2. Patlitzianas, Konstantinos & Karagounis, Konstantinos, 2011. "The progress of RES environment in the most recent member states of the EU," Renewable Energy, Elsevier, vol. 36(2), pages 429-436.
    3. Montes, German Martinez & Martin, Enrique Prados & Bayo, Javier Alegre & Garcia, Javier Ordoñez, 2011. "The applicability of computer simulation using Monte Carlo techniques in windfarm profitability analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(9), pages 4746-4755.
    4. Patlitzianas, Konstantinos D. & Kagiannas, Argyris G. & Askounis, Dimitris Th. & Psarras, John, 2005. "The policy perspective for RES development in the new member states of the EU," Renewable Energy, Elsevier, vol. 30(4), pages 477-492.
    5. Radics, Kornélia & Bartholy, Judit, 2008. "Estimating and modelling the wind resource of Hungary," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(3), pages 874-882, April.
    6. Xydis, G. & Koroneos, C. & Loizidou, M., 2009. "Exergy analysis in a wind speed prognostic model as a wind farm sitting selection tool: A case study in Southern Greece," Applied Energy, Elsevier, vol. 86(11), pages 2411-2420, November.

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