Wind power density statistics using the Weibull model for Inner Mongolia, China

Wind Engineering

Volumn 30, Issue 2, 2006, Pages 161-168

  Yingni, Jiang ^a,b   Xiuling, Yuan ^a   Jianmei, Feng ^a   Xiaojun, Chen ^b  

^a XI'AN JIAOTONG UNIVERSITY   (China)

^b ENGINEERING COLLEGE OF ARMED POLICE FORCE   (China)

Author keywords

Scale and shape parameters; Weibull distribution; Wind energy potential

Indexed keywords

ESTIMATION; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS; WEIBULL DISTRIBUTION;

SCALE PARAMETERS; SHAPE PARAMETERS; WEIBULL MODEL; WIND ENERGY POTENTIAL; WIND POWER DENSITY STATISTICS;

WIND POWER;

ESTIMATION; PROBABILITY DENSITY FUNCTION; STATISTICAL METHODS; WEIBULL DISTRIBUTION; WIND POWER;

ENERGY PLANNING; MODELING; PROBABILITY DENSITY FUNCTION; STATISTICAL DATA; TIME SERIES ANALYSIS; WEIBULL THEORY; WIND POWER;

ASIA; CHINA; EURASIA; FAR EAST; NEI MONGGOL;

EID: 33747678081     PISSN: 0309524X     EISSN: 0309524X     Source Type: Journal    
DOI: 10.1260/030952406778055072     Document Type: Article

References (18)

1. China Wind Power. Available from: http://www.winpower.org.cn/rule/index.isp;2006 (Accessed 20/5/2006).
2. China Green Industry. Availble from: http://www.chinagreen.org.cn/1stx/news/85/2005618165242.htm; 2006 (Accessed 20/5/2006).
3. Twidell J. W. and Weir A.D. Renewable Energy Resources, Ed2, Taylor and Francis, 2005.
4. Ulgen K. and Hepbasli A., Determination of Weibull parameters for wind energy analysis of Izmir, Turkey. Int J Energy Res, 2002; 26(6):495-506.
5. Lun I.Y.F. and Lam J.C. A study of Weibull parameters using long term wind observation. Renew Energy 2000; 20(2):145-53.
6. Dorvol A.S., Estimating wind speed distribution. Energy Convers Manag 2002; 43(17):2311-8.
7. Rehman S. and Halawani T.O., Statistical characteristics of wind in Saudi Arabia. Renew Energy 1994; 4(8):949-56.
8. Johnson G.L., Wind energy Systems, Prentice-Hall, USA, 1985.
9. Bergeles G., Wind turbines. Symeon Publishing Co., Athens; 1991.
10. Deaves D.M. and Lines I.G., On the fitting of low mean wind speed data to the Weibull distribution. Journal of Wind Engineering and Industrial Aerodynamics 1997; 66:169-78.
11. Cheng E. and Yeung C., Generalized extreme gust wind speed distributions. Journal of Wind Engineering and Industrial Aerodynamics 2002; 90:1657-69.
12. Seguro J.V. and Lambert T.W. Modern estimations of the parameters of the Weibull probability density distribution for wind energy analysis. J Wind Eng Ind Aerodyn 2000; 85:75-84.
13. Dorvlo A.S.S., Estimating wind speed distribution. Energy Conv Manage 2002;43:2311-8.
14. Garcia A, Torre J.L., Prieto E and De Francisco A., Fitting probability density distributions: a case study. Sol Energy 1998; 62(2):139-44.
15. Hennessey J. Some aspects of wind power statistics; J Appl Meteorol 1977;16(2):119-28.
16. Justus C.G, Hargraves W.R., Mikhail A, and Graber D., Methods for estimating wind speed frequency distribution. J Appl Meteorol 1978; 17(3):350-3.
17. Lu L, Yang H. and Burnett J., Investigation on wind power potential on Hong Kong islands-an analysis of wind power and wind turbine characteristics. Renew Energy 2002; 27(1):1-12.
18. Ali Naci Celik, A statistical analysis of wind power density based on the Weibull and Rayleigh models at the southern region of Turkey. Renewable Energy 2003; 29:593-604.