No data available.
Please log in to see this content.
You have no subscription access to this content.
No metrics data to plot.
The attempt to load metrics for this article has failed.
The attempt to plot a graph for these metrics has failed.
The full text of this article is not currently available.
Evaluation of the wind resource and power performance of a turbine in Tenerife
3. M. Burlando, A. Podestà, L. Villa, C. F. Ratto, and G. Cassulo, “ Preliminary estimate of the large-scale wind energy resource with few measurements available: The case of Montenegro,” J. Wind Eng. Ind. Aerodyn. 97, 497 (2009).
10. D. L. Elliott and M. N. Schwartz, “ Wind energy potential in the United States,” Report No. PNL-SA-23109, Pacific Northwest Laboratory, Richland, WA, 1993.
13. B. Safari and J. Gasore, “ A statistical investigation of wind characteristics and wind energy potential based on the Weibull and Rayleigh models in Rwanda,” Renewable Energy 35, 2874 (2010).
16. M. R. Patel, Wind and Solar Power Systems (CRC, Florida, America, 1999).
21. J. K. Kaldellis, Wind Energy Management (Stamoulis, Athens, 1999).
23. B. Lange, S. Larsen, J. Højstrup, and R. Barthelmie, “ Importance of thermal effects and sea surface roughness for offshore wind resource assessment,” J. Wind Eng. Ind. Aerodyn. 92, 959 (2004).
26. J. P. Holman, Experimental Methods for Engineers (McGraw-Hill Book Company, 1971).
27. M. Villarrubia, Energía eólica (Ed. Ceac, España, 1993).
31. C. Sicot, P. Devinant, S. Loyer, and J. Hureau, “ Rotational and turbulence effects on a wind turbine blade. Investigation of the stall mechanisms,” J. Wind Eng. Ind. Aerodyn. 96, 1320 (2008).
Article metrics loading...
Tenerife, the largest of the Canary Islands, aims to enhance the contribution of renewable energies to its electricity demand. The objective of this work is twofold: (i) to assess the wind resources and (ii) to evaluate the energy that a specific wind turbine would produce at different locations across the island. Wind data from four meteorological stations covering a period of 91 years (1920–2011) are used. The annual and monthly distributions of wind velocity and power density are evaluated using the Weibull and Rayleigh distributions, and the prevailing wind directions are analyzed. The monthly energygenerated by an ideal turbine is compared to that generated by a real turbine for the four study sites. (An ideal turbine extracts all the energy available in the wind, whereas a real turbine is subjected to Betz’ law.) The high availability and capacity factors obtained are indicative of the large wind resource in Tenerife and in particular at three of the four study sites.
Full text loading...
Most read this month