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Investigation of the wind energy characteristics and power generation in Lithuania

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  • Katinas, Vladislovas
  • Sankauskas, Donatas
  • Markevičius, Antanas
  • Perednis, Eugenijus

Abstract

In this article the wind flow characteristics, a current situation and future prospects of the wind energy use and power generation in Lithuania are investigated. During the last ten years the assessment of wind power resources was carried out, wind measurement data were collected and analyzed, whereas Lithuanian wind resources map was developed on the basis of the obtained results. A long-term (1945–1990) wind data for 19 meteorological stations and performed measurements in sites revealed that the most suitable region for building wind turbine (WT) of large-scale is the 10 km wide coastal strip near the Baltic Sea. Also, the investigations demonstrate that WT can be installed in the continental part of Lithuania. However, the efficiency of WT will be slightly less in the continental part as in the near-shore. The energy efficiency was evaluated by the capacity factor Cp, which was calculated for installed WT in different regions of the country. The aim of the work is to present the results of investigation of wind climate conditions in the coastal area of the Baltic Sea and other regions of Lithuania and evaluate wind energy generation in the country.

Suggested Citation

  • Katinas, Vladislovas & Sankauskas, Donatas & Markevičius, Antanas & Perednis, Eugenijus, 2014. "Investigation of the wind energy characteristics and power generation in Lithuania," Renewable Energy, Elsevier, vol. 66(C), pages 299-304.
    • Handle: RePEc:eee:renene:v:66:y:2014:i:c:p:299-304
    DOI: 10.1016/j.renene.2013.12.013
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    References listed on IDEAS

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    Cited by:

    1. Chen Sun & Dong Liu & Yun Wang & Yi You, 2017. "Assessment of Credible Capacity for Intermittent Distributed Energy Resources in Active Distribution Network," Energies, MDPI, vol. 10(8), pages 1-24, July.
    2. Li, Chong & Liu, Youying & Li, Gang & Li, Jianyan & Zhu, Dasheng & Jia, Wenhua & Li, Guo & Zhi, Youran & Zhai, Xinyu, 2016. "Evaluation of wind energy resource and wind turbine characteristics at two locations in China," Technology in Society, Elsevier, vol. 47(C), pages 121-128.
    3. Katinas, Vladislovas & Gecevicius, Giedrius & Marciukaitis, Mantas, 2018. "An investigation of wind power density distribution at location with low and high wind speeds using statistical model," Applied Energy, Elsevier, vol. 218(C), pages 442-451.
    4. Chandel, S.S. & Ramasamy, P. & Murthy, K.S.R, 2014. "Wind power potential assessment of 12 locations in western Himalayan region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 39(C), pages 530-545.
    5. Baseer, M.A. & Meyer, J.P. & Rehman, S. & Md. Mahbub Alam, & Al-Hadhrami, L.M. & Lashin, A., 2016. "Performance evaluation of cup-anemometers and wind speed characteristics analysis," Renewable Energy, Elsevier, vol. 86(C), pages 733-744.

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