A continuous bivariate model for wind power density and wind turbine energy output estimations

Energy Conversion and Management

Volumn 48, Issue 2, 2007, Pages 420-432

  Carta, José Antonio ^a   Mentado, Dunia ^b  

^a UNIVERSITY OF LAS PALMAS DE GRAN CANARIA   (Spain)

^b Instituto Tecnologico de Canarias   (Spain)

Author keywords

Air density; Bivariate distributions; Univariate distributions; Wind power density; Wind speed; Wind turbine energy output

Indexed keywords

CLIMATOLOGY; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; PRODUCT DESIGN; WIND TURBINES;

AIR DENSITY; BIVARIATE PROBABILITY MODEL (BPM); DESIGN PROCESS; WIND POWER DENSITY;

WIND POWER;

EID: 33845939095     PISSN: 01968904     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.enconman.2006.06.019     Document Type: Article

References (32)

1. Spera D.A. Wind turbine technology. 3rd ed. (1995), ASME Press, New York
2. Manwell J.F., McGowan J.G., and Rogers A.L. Wind energy explained. 1st ed. (2002), John Wiley and Sons, Ltd., England
3. Ramírez P., and Carta J.A. Influence of the data sampling interval in the estimation of the parameters of the Weibull wind speed probability density distribution: a case study. Energy Convers Manage 46 (2005) 2419-2438
4. Jamil M. Wind power statistics and evaluation of wind energy density. Wind Eng 18 (1994) 227-240
5. Hennessey J.P. Some aspects of wind power statistics. J Appl Meteor 16 (1977) 119-128
6. Davis R.S. Equation for the determination of the density of moist air. Metrologia 29 (1992) 67-70
7. Giacomo P. Equation for the determination of the density of moist air. Metrologia 18 (1982) 33-40
8. Essa K.S.M., Etman S.M., and Embaby M. The effect of air density variation on wind power flux. Wind Eng 28 (2004) 305-310
9. Jackson K., van Dam C.P., and Yen-Nakafuji D. Wind turbine generator trends for site-specific tailoring. Wind Energy 8 (2005) 443-455
10. Burton T., Sharpe D., Jenkins N., and Bossanyi E. Wind energy handbook. 1st ed. (2001), John Wiley and Sons, Ltd., England
11. Lysen E.H. Introduction to wind energy. 2nd ed. (1983), Consultancy Services Wind Energy Developing Countries, The Netherlands
12. Koeppl G.W. Putnam's power from the wind. 2nd ed. (1982), Van Nostrand Reinhold, New York
13. Jones C.N. Notes on the effect of site wind-speed frequency distribution and machine performance characteristics on the annual energy output of a WECS. Wind Eng 10 (1986) 31-46
14. Jones C.N. The prediction of wind turbine energy output; a Brie survey. Wind Eng 12 (1988) 76-87
15. Justus C.G. Winds and wind system performance. 1st ed. (1978), Franklin Institute Press, US
16. Canavos G. Applied probability statistical methods. 1st ed. (1998), Little Brown & Company, New York
17. Hau E. Wind turbines. Fundamentals, technologies, application, economics. 1st ed. (2000), Springer, Germany
18. Le Gourieres D. Wind power plants, theory and design. 1st ed. (1982), Pergamon Press, New York
19. Akai T.J. Applied numerical methods for engineers. 2nd ed. (1994), John Wiley & Sons, Inc., New York
20. Kiryanov D. The Mathcad 2001i handbook. 1st ed. (2002), Delmar Thomson Learning, USA
21. Bueno C., and Carta J.A. Technical-economic analysis of wind-powered pumped hydrostorage systems. Part I: Model development. Solar Energy 78 (2005) 382-395
22. Troen I., and Petersen E.L. European wind atlas. 1st ed. (1989), Risø National Laboratory, Roskilde
23. Kotz S., Balakrishnan N., and Johnson N.L. Continuous multivariate distributions. Models and applications, 2nd ed. vol. 1 (2000), Wiley-Interscience, USA
24. Mardia K.V. Families of bivariate distributions. 1st ed. (1970), Lubrecht & Cramer Ltd., USA
25. IEC 61400-12. Wind turbine generator systems - Part 12: Wind turbine power performance testing. 1st ed. (1998-2002), International Electrotechnical Commission
26. ISO 2533. Standard atmosphere. 1st ed. Technical Committee 20. Subcommittee 6; 1975.
27. Rehman S., and Al-Abbadi N.M. Wind shear coefficients and their effect on energy production. Energy Convers Manage 46 (2005) 2578-2591
28. Hussain M. Dependence of power law index on surface wind speed. Energy Convers Manage 43 (2002) 467-472
29. Ramírez P., and Carta J.A. The use of wind probability distributions derived from the maximum entropy principle in the analysis of wind energy. A case study. Energy Convers Manage 47 (2006) 2564-2577
30. Carta JA, Ramírez P. Use of finite mixture distribution models in the analysis of wind energy in the Canarian Archipelago. Energy Convers Manage (in press), doi:10.1016/j.enconman.2006.04.004.
31. Draper N.R., and Smith H. Applied regression analysis. 1st ed. (1998), John Wiley & Sons, Inc., New York
32. Celik A.L. On the distributional parameters used in assessment of the suitability of wind speed probability density functions. Energy Convers Manage 45 (2004) 1735-1747