Direct Measurements of Wind Data over 100 Meters above the Ground in the Site of Lendinara, Italy

The wind resource in the Italian site of Lendinara (RO) is analyzed through a systematic anemometric campaign performed on the top of the bell tower, at an altitude of over 100 m above the ground. Both the average wind speed and the Weibull distribution are computed. The resulting average wind velocity is in accordance with the numerical predictions of the Italian Wind Atlas, confirming the accuracy of the extrapolation of wind data adopted for the evaluation of wind potential at higher altitudes with respect to the commonly placed measurement stations.

Authors:

• A. Dal Monte
• M. Raciti Castelli
• G. B. Bellato
• L. Stevanato
• E. Benini

Keywords:

• Anemometric campaign
• wind resource
• Weibull distribution
• wind atlas

References:

[1] The European Wind Energy Association, Powering the energy debate,
2010 Annual Report, www.ewea.org.
[2] http://www.fisica.unige.it/atmosfera/www_eng/vento/pot_eolico.htm.
[3] http://www.cesiricerca.it/.
[4] V. Lo Brano, A. Orioli, G. Ciulla, S. Culotta, "Quality of wind speed
fitting distributions for the urban area of Palermo, Italy", Renewable
Energy, Volume 36, Issue 3, March 2011, pp. 1026-1039.
[5] F. Castellani, G. Franceschini, "The Umbria Region wind atlas", 43rd
AIAA Aerospace Sciences Meeting and Exhibit - Meeting Papers, pp.
11503-11507, 2005.
[6] A. Lavagnini, G. Stellato, "Analytical Representation of Wind Speed
Distributions", Energie alternative: habitat territorio energia, Volume
5, Issue 21, pp. 35-41, Jan-Feb 1983.
[7] V. Fisauli, A. Lavagnini, M. Navanteri, G. Stellato, "Left bracket
Potentially Available Electric Energy from the Wind in Italy: Alternative
Habitat", Territorio Energia, Volume 4, Issue 16, pp. 103-112, Mar-Apr
1982.
[8] A. Lavagnini, G. Di Giacomo, G. Fracassi, V. Fisauli, G. Stellato, F.
Fox, S. Tiribocchi, A. Guerrini, "Wind maps of Italy", Energie
alternative: habitat territorio energia, Volume 3, Issue 14, pp. 493-500,
Nov-Dec 1981.
[9] E. Chiodo, D. Lauria, "Analytical study of different probability
distributions for wind speed related to power statistics", 2009
International Conference on Clean Electrical Power, ICCEP 2009, pp.
733-738, 2009.
[10] www.meteoveneto.com.
[11] M. Al-Fawzan, Methods for Estimating the Parameters of the Weibull
Distribution, King Abdulaziz City for Science and Technology, Riyadh
(Saudi Arabia), May 2000.
[12] CESI, Università di Genova: AA.VV., Atlante Eolico d-Italia,
Dipartimento di Fisica, http://www.ricercadisistema.it, 2002.