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2014 | 14 | 3 |

Tytuł artykułu

Comparison of wind turbine energy production models for rural applications

Autorzy

Treść / Zawartość

Warianty tytułu

PL
Porównanie modeli wytwarzania energii przez turbiny wiatrowe w zastosowaniach rolnicznych

Języki publikacji

EN

Abstrakty

EN
PL

Wydawca

-

Rocznik

Tom

14

Numer

3

Opis fizyczny

p.37-41,fig.,ref.

Twórcy

autor
  • University of Life Sciences in Lublin, Gleboka 28, 20-612 Lublin, Poland

Bibliografia

  • 1. Akdağ, S.A., and Güler, Ö. 2011. A Comparison of Wind Turbine Power Curve Models. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects 33, 2257–2263.
  • 2. Al-Bahadly, I., 2009. Building a wind turbine for rural home. Energy for Sustainable Development 13, 159–165.
  • 3. Brzezioski M., Choszowski M., Homoncik J., Pierzga K., Ząber K., Ząber Z. 2012. Small wind farms (in Polish). DR Zaber Sp. z o.o. Available on the Internet http://zaber.com.pl/Male_elektrownie_wiatrowe.php, accessed on Jan 31st, 2014.
  • 4. Busko E., Pazniak S., Kostuchevich S., Dudkina L. 2012. Perspectives of renewable energy sources use in enhancement of environmental and energy security of Belarus. TEKA. Commission of Motorization and Energetics in Agriculture, Vol. 12, No. 1, 13–20.
  • 5. Carrillo, C., Obando Montaño, A.F., Cidrás, J., and Díaz-Dorado, E. 2013. Review of power curve modelling for windturbines. Renewable and Sustainable Energy Reviews 21, 572–581.
  • 6. DR Ząber Sp. z o.o.. 2014. ZEFIR D7-P5-T10 Datasheet. DR Zaber Sp. z o.o. Available on the Internet http://zaber.com.pl/images/ZEFIR_D7_P5_T10.pdf. Accessed on February 5th 2014
  • 7. DR Ząber Sp. z o.o.. 2014. ZEFIR D10-P12-T12 Datasheet. DR Zaber Sp. z o.o. Available on the Internet http://zaber.com.pl /images/ZEFIR_D10_P12_T12.pdf. Accessed on February 5th 2014.
  • 8. Evance Wind Turbines Ltd. 2014. Available on the Internet: http://www.evancewind.com/products/ 10kw-solution/specification. Accessed on February 5th 2014.
  • 9. Gill, S., Stephen, B., and Galloway, S. 2012. Wind turbine condition assessment through power curve copula modeling. IEEE Transactions on Sustainable Energy 3, 94–101.
  • 10. Idaho National Laboratory. 2014. Avaliable on the Internet: https://inlportal.inl.gov/portal/server.pt/community/ wind_power/424/software. Accessed on February 4th 2014.
  • 11. IMGW. 2013. Climatic data. Institute of Meteorology and Water Management – National Research Institute. Available on the Internet: http://www.pogodynka.pl/ polska/daneklimatyczne/. Accessed on June 20th 2013.
  • 12. Jafarian, M., and Ranjbar, A.M. 2010. Fuzzy modeling techniques and artificial neural networks to estimate annual energy output of a wind turbine. Renewable Energy 35, 2008–2014.
  • 13. Lewandowski W. M. 2012. Proekologiczne odnawialne źródła energii. WNT.
  • 14. Lydia, M., Kumar, S.S., Selvakumar, A.I., and Prem Kumar, G.E. 2014. A comprehensive review on wind turbine power curve modeling techniques. Renewable and Sustainable Energy Reviews 30, 452–460.
  • 15. Mathew, S., 2006. Wind energy. Springer-Verlag, New York, NY.
  • 16. Michalak, P., Zimny, J., 2011. Wind energy development in the world, Europe and Poland from 1995 to 2009; current status and future perspectives. Renewable and Sustainable Energy Reviews 15, 2330–2341.
  • 17. Nasa Atmospheric Science Data Center. 2014. Surface meteorology and Solar Energy. Avaliable on the internet https://eosweb.larc.nasa.gov/cgi-bin/sse/sse.cgi, accessed on Jan 31st, 2014.
  • 18. Safari, B., and Gasore, J. 2010. A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda. Renewable Energy 35, 2874–2880.
  • 19. Schlechtingen, M., Santos, I.F., and Achiche, S. 2013. Using Data-Mining Approaches for Wind Turbine Power Curve Monitoring: A Comparative Study. IEEE Transactions on Sustainable Energy 4, 671–679.
  • 20. Seguro, J.V., and Lambert, T.W. 2000. Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis. Journal of Wind Engineering and Industrial Aerodynamics 85, 75–84.
  • 21. Üstüntaş, T., and Şahin, A.D. (2008). Wind turbine power curve estimation based on cluster center fuzzy logic modeling. Journal of Wind Engineering and Industrial Aerodynamics 96, 611–620.
  • 22. Villanueva, D., Feijóo, A., 2010. Wind power distributions: A review of their applications. Renewable and Sustainable Energy Reviews 14, 1490–1495.

Typ dokumentu

Bibliografia

Identyfikatory

Identyfikator YADDA

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