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difference in wind rose as seen from Fig. 11 which
contributes to large power density difference. The
prediction may be improved by more precise siting which
includes topographic elements, as well as data from
additional met stations to account for more complex flow.
TABLE V
MEAN VALUES FROM MET STATION DATA AND FROM WEB SITE
(MARCH 2005)
Original met
station data
Unit Measured Weibullfit
Discre
pancy
Mean wind speed m/s 4.17 4.15 0.49%
Mean power
density
http://meteo.infospace.r
u
W/m² 101.16 103.02 1.85%
Unit Measured Weibullfit
Discre
pancy
Mean wind speed m/s 4.26 4.24 0.30%
Mean power
density
W/m² 103.37 105.30 1.87%
b)
Fig. 11 Wind roses obtained from a) wind mast station measurements and b)
from web site data
VI. CONCLUSIONS
The regional wind climate assessment requires wind
data bases from the regional met stations, while for siting of
wind energy potential the measurements at higher
elevations than standard 10 m height met station
instruments are needed.
The possibility of wind climate prediction in Deliblatska
Peščara region in North Serbia using scarce met data from
internet address http://meteo.infospace.ru was tested. The
testing was performed for relatively windy month March
2005 year. It was found that rounded-off originally hourly
a)
averaged data taken each hour at the met station Banatski
Karlovac gave satisfactory results compared to more precise
0.1 m/s discretised wind velocity values from the same data
base. Relatively scarce hourly averaged data taken each
third hour with rounded–off 1 m/s discretisation wind
velocity were used to predict wind climate of Deliblatska
Peščara. This procedure was found satisfactory regarding
the mean wind velocity, but less effective concerning wind
rose. For wind energy potential assessment at selected site
both, more precise modeling based on roughness, orography
and obstacles data, as well as more improved wind data
base are required.
VII. ACKNOWLEDGMENT
The authors wish to thank the RISE partners for their
contributions and the EC for partially funding this project.
Thanks are due to Helimax Company and Municipality
Pančevo for measuring data at Dolovo site. The valuable
contribution of Mrs. Bojana Jakovljević, Mrs. Zlatica
Popov, Mr. Veljko Zlatanović and Mr. Mirko Stojkanović is
greatly acknowledged.
VIII. REFERENCES
[1] R. Putnik, S. Grkovica, R. Milojković et.al. "Possibility for wind
conversion to electricity", EPS, Belgrade, 2002. (in Serbian)
[2] Gburčik Petar et. al., " Study of potential of Serbia for exploitation of
wind and solar energy", MNZŽS, National energy eficiency programm,
EE704-1052A (2005) (in Serbian)
[3] Žarko Stevanović, Predrag Živković. presented at 12th
Thermodynamics Symposium of Serbia and Montenegro, Sokobanja,
Serbia and Montenegro, 2005. (in Serbian)
[4] E. M. Nielsen, P. Astrup, C.B. Hasager, R. Barthelmie, S. Pryor, "
Satellite information fro wind energy applications", RISO R-1479 (EN)
report, Nov. 2004.
IX. BIOGRAPHIES
Miodrag Zlatanović was born in Belgrade,
Serbia, on August 3, 1947. He graduated and finished PhD thesis at Belgrade
University.
He is a professor at the Faculty of Electrical Engineering, Belgrade
University, teaching plasma technology, sensors and transducers and
renewable energy sources. The fields of research interest include Plasma
surface engineering, Renewable energy sources, Sensors and MHD energy
conversion. He received the award for innovation and gold medal for IMT
industry development.
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