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Site-Dependent Wind Turbine Performance Index

Year 2013, Volume: 3 Issue: 3, 592 - 594, 01.09.2013

Alon Kuperman Yuri Ditkovich Asher Yahalom Michael Byalsky

https://izlik.org/JA29EY37CH

Abstract

This letterpresents a method for estimating the dependence of turbine performance index on the specific site. The approach is based on the Weibull wind probability distribution function and manufacturer provided power curve. Instead of choosing a particular model for approximating the power curve, commonly usedpolynomial fitting is employed. A general approach to calculating the turbine performance index is derived, suitable for both fixed and variable speed wind turbines.

Keywords

Wind Turbine Curve Fitting Weibull Distribution Performance Index

References

  • Hajiah A, Sebzali M. Optimal sizing of wind power systems in three high wind potential zones in Kuwait for remote housing electrification. Int J Renew Energy Res 2013; :167 – 171.
  • Gualtieri G. Development and application of an integrated wind resource assessment tool for wind farm planning. Int J Renew Energy Res 2012; 2:674 – 685.
  • Jamdade PG, Jamdade SG. Analysis of wind data for four locations in Ireland nased on Weibull distribution's linear regression model. Int J Renew Energy Res 2012; 2:451 – 455.
  • Roy A. Reliable estimation of density distribution in potential wind power sites of bangladesh. Int J Renew Energy Res 2012; 2:219 – 226.
  • Olaofe ZO, Folly KA. Statistical analysis of wind resoueces at Darling for energy production. Int J Renew Energy Res 2012; 2:250 – 261.
  • Nedaei M. Wind energy potential assessment in Chalus county in Iran. Int J Renew Energy Res 2012; 2:338 – 347.
  • Jangamshetti S, Rau V. Normalized power curves as a tool for identification of optimum wind turbine generator parameters. IEEE Trans Energy Conv 2001; 16:283 - 288.
  • Yeh TL, Wang L. A study on generator capacity for wind turbines under various tower heights and rated wind speeds using weibull distribution. IEEE Trans Energy Conv 2008; :592 - 602.
  • Huang SJ, Wan HH. Determination of suitability between wind turbine generators and sites including power density and capacity factor considerations. IEEE Trans Sust Energy 2012; :390 - 397.
  • El-Shimy M. Optimum site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt. Renew Energy 2010; 35:1870 - 1878.
  • Ditkovich Y, Kuperman A, Yahalom A, Byalsky M. A generalized approach to estimating the capacity factor of fixed speed wind turbines. IEEE Trans Sust Energy 2012; 3:607
  • Akdag S, Dinler A. A new method to estimate Weibull parameters for wind energy applications. Energy Conv Manag ; 50:1761 – 1766.
  • Masters G. Renewable and Efficient Electric Power Systems. Wiley: New Jersey, 2004.

Year 2013, Volume: 3 Issue: 3, 592 - 594, 01.09.2013

Alon Kuperman Yuri Ditkovich Asher Yahalom Michael Byalsky

https://izlik.org/JA29EY37CH

Abstract

References

  • Hajiah A, Sebzali M. Optimal sizing of wind power systems in three high wind potential zones in Kuwait for remote housing electrification. Int J Renew Energy Res 2013; :167 – 171.
  • Gualtieri G. Development and application of an integrated wind resource assessment tool for wind farm planning. Int J Renew Energy Res 2012; 2:674 – 685.
  • Jamdade PG, Jamdade SG. Analysis of wind data for four locations in Ireland nased on Weibull distribution's linear regression model. Int J Renew Energy Res 2012; 2:451 – 455.
  • Roy A. Reliable estimation of density distribution in potential wind power sites of bangladesh. Int J Renew Energy Res 2012; 2:219 – 226.
  • Olaofe ZO, Folly KA. Statistical analysis of wind resoueces at Darling for energy production. Int J Renew Energy Res 2012; 2:250 – 261.
  • Nedaei M. Wind energy potential assessment in Chalus county in Iran. Int J Renew Energy Res 2012; 2:338 – 347.
  • Jangamshetti S, Rau V. Normalized power curves as a tool for identification of optimum wind turbine generator parameters. IEEE Trans Energy Conv 2001; 16:283 - 288.
  • Yeh TL, Wang L. A study on generator capacity for wind turbines under various tower heights and rated wind speeds using weibull distribution. IEEE Trans Energy Conv 2008; :592 - 602.
  • Huang SJ, Wan HH. Determination of suitability between wind turbine generators and sites including power density and capacity factor considerations. IEEE Trans Sust Energy 2012; :390 - 397.
  • El-Shimy M. Optimum site matching of wind turbine generator: Case study of the Gulf of Suez region in Egypt. Renew Energy 2010; 35:1870 - 1878.
  • Ditkovich Y, Kuperman A, Yahalom A, Byalsky M. A generalized approach to estimating the capacity factor of fixed speed wind turbines. IEEE Trans Sust Energy 2012; 3:607
  • Akdag S, Dinler A. A new method to estimate Weibull parameters for wind energy applications. Energy Conv Manag ; 50:1761 – 1766.
  • Masters G. Renewable and Efficient Electric Power Systems. Wiley: New Jersey, 2004.
There are 13 citations in total.

Details

Primary Language English
Authors

Alon Kuperman This is me

Yuri Ditkovich This is me

Asher Yahalom This is me

Michael Byalsky This is me

Publication Date September 1, 2013
IZ https://izlik.org/JA29EY37CH
Published in Issue Year 2013 Volume: 3 Issue: 3

Cite

APA Kuperman, A., Ditkovich, Y., Yahalom, A., & Byalsky, M. (2013). Site-Dependent Wind Turbine Performance Index. International Journal Of Renewable Energy Research, 3(3), 592-594. https://izlik.org/JA29EY37CH
AMA 1.Kuperman A, Ditkovich Y, Yahalom A, Byalsky M. Site-Dependent Wind Turbine Performance Index. International Journal Of Renewable Energy Research. 2013;3(3):592-594. https://izlik.org/JA29EY37CH
Chicago Kuperman, Alon, Yuri Ditkovich, Asher Yahalom, and Michael Byalsky. 2013. “Site-Dependent Wind Turbine Performance Index”. International Journal Of Renewable Energy Research 3 (3): 592-94. https://izlik.org/JA29EY37CH.
EndNote Kuperman A, Ditkovich Y, Yahalom A, Byalsky M (September 1, 2013) Site-Dependent Wind Turbine Performance Index. International Journal Of Renewable Energy Research 3 3 592–594.
IEEE [1]A. Kuperman, Y. Ditkovich, A. Yahalom, and M. Byalsky, “Site-Dependent Wind Turbine Performance Index”, International Journal Of Renewable Energy Research, vol. 3, no. 3, pp. 592–594, Sept. 2013, [Online]. Available: https://izlik.org/JA29EY37CH
ISNAD Kuperman, Alon - Ditkovich, Yuri - Yahalom, Asher - Byalsky, Michael. “Site-Dependent Wind Turbine Performance Index”. International Journal Of Renewable Energy Research 3/3 (September 1, 2013): 592-594. https://izlik.org/JA29EY37CH.
JAMA 1.Kuperman A, Ditkovich Y, Yahalom A, Byalsky M. Site-Dependent Wind Turbine Performance Index. International Journal Of Renewable Energy Research. 2013;3:592–594.
MLA Kuperman, Alon, et al. “Site-Dependent Wind Turbine Performance Index”. International Journal Of Renewable Energy Research, vol. 3, no. 3, Sept. 2013, pp. 592-4, https://izlik.org/JA29EY37CH.
Vancouver 1.Alon Kuperman, Yuri Ditkovich, Asher Yahalom, Michael Byalsky. Site-Dependent Wind Turbine Performance Index. International Journal Of Renewable Energy Research [Internet]. 2013 Sep. 1;3(3):592-4. Available from: https://izlik.org/JA29EY37CH