IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v12y2008i3p874-882.html
   My bibliography  Save this article

Estimating and modelling the wind resource of Hungary

Author

Listed:
  • Radics, Kornélia
  • Bartholy, Judit

Abstract

Among renewable energy resources, wind energy utilisation increased most intensely during the last decade. The sudden and widespread wind technological developments raised the question of the effectiveness of wind energy utilisation in moderate wind regions, such as Hungary. In order to support the European Union (EU) and national governmental efforts and to facilitate initiatives on renewable energy consumption, a research started on estimating and mapping the potential wind resources of the country.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:rensus:v:12:y:2008:i:3:p:874-882
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364-0321(06)00127-4
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Tar, Károly & Farkas, István & Rózsavölgyi, Kornél, 2011. "Climatic conditions for operation of wind turbines in Hungary," Renewable Energy, Elsevier, vol. 36(2), pages 510-518.
    2. Veronesi, F. & Grassi, S. & Raubal, M., 2016. "Statistical learning approach for wind resource assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 56(C), pages 836-850.
    3. Ucar, Aynur & Balo, Figen, 2009. "Investigation of wind characteristics and assessment of wind-generation potentiality in Uludag-Bursa, Turkey," Applied Energy, Elsevier, vol. 86(3), pages 333-339, March.
    4. Péter Kiss & László Varga & Imre M. Jánosi, 2009. "Contrasting Electricity Demand with Wind Power Supply: Case Study in Hungary," Energies, MDPI, vol. 2(4), pages 1-12, September.
    5. Arayeh Afsordegan & Luis Del Vasto-Terrientes & Aida Valls & Núria Agell & Mónica Sánchez, 2022. "Finding the most sustainable wind farm sites with a hierarchical outranking decision aiding method," Annals of Operations Research, Springer, vol. 312(2), pages 1307-1335, May.
    6. Al-Yahyai, Sultan & Charabi, Yassine & Gastli, Adel, 2010. "Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(9), pages 3192-3198, December.
    7. Hartmann, Bálint & Börcsök, Endre & Groma, Veronika Oláhné & Osán, János & Talamon, Attila & Török, Szabina & Alföldy-Boruss, Márk, 2017. "Multi-criteria revision of the Hungarian Renewable Energy Utilization Action Plan – Review of the aspect of economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1187-1200.
    8. Campos, José & Csontos, Csaba & Munkácsy, Béla, 2023. "Electricity scenarios for Hungary: Possible role of wind and solar resources in the energy transition," Energy, Elsevier, vol. 278(PB).
    9. Poulet, P. & Outbib, R., 2015. "Energy production for dwellings by using hybrid systems based on heat pump variable input power," Applied Energy, Elsevier, vol. 147(C), pages 413-429.
    10. Alam, Md. Mahbub & Rehman, Shafiqur & Meyer, Josua P. & Al-Hadhrami, Luai M., 2011. "Review of 600–2500kW sized wind turbines and optimization of hub height for maximum wind energy yield realization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(8), pages 3839-3849.
    11. Ucar, Aynur & Balo, Figen, 2009. "Evaluation of wind energy potential and electricity generation at six locations in Turkey," Applied Energy, Elsevier, vol. 86(10), pages 1864-1872, October.
    12. Dahmouni, A.W. & Salah, M. Ben & Askri, F. & Kerkeni, C. & Nasrallah, S. Ben, 2010. "Wind energy in the Gulf of Tunis, Tunisia," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(4), pages 1303-1311, May.
    13. de la Rosa, Juan José González & Pérez, Agustín Agüera & Palomares Salas, José Carlos & Ramiro Leo, José Gabriel & Muñoz, Antonio Moreno, 2011. "A novel inference method for local wind conditions using genetic fuzzy systems," Renewable Energy, Elsevier, vol. 36(6), pages 1747-1753.
    14. Kwami Senam A. Sedzro & Adekunlé Akim Salami & Pierre Akuété Agbessi & Mawugno Koffi Kodjo, 2022. "Comparative Study of Wind Energy Potential Estimation Methods for Wind Sites in Togo and Benin (West Sub-Saharan Africa)," Energies, MDPI, vol. 15(22), pages 1-28, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Janos Szlavik & Maria Csete, 2012. "Climate and Energy Policy in Hungary," Energies, MDPI, vol. 5(2), pages 1-24, February.
    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. 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.
    4. Jebaraj, S. & Iniyan, S., 2006. "A review of energy models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 10(4), pages 281-311, August.
    5. Péter Kiss & László Varga & Imre M. Jánosi, 2009. "Contrasting Electricity Demand with Wind Power Supply: Case Study in Hungary," Energies, MDPI, vol. 2(4), pages 1-12, September.
    6. 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.
    7. 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.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:rensus:v:12:y:2008:i:3:p:874-882. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.