DocumentCode :
1966374
Title :
GIS-based wind farm site selection in Lebanon
Author :
Bazzi, Ali M. ; Fares, Dima A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Illinois at Urbana-Champaign, Champaign, IL
fYear :
2008
fDate :
18-20 May 2008
Firstpage :
201
Lastpage :
204
Abstract :
This paper includes an interactive wind farm design approach for Lebanon using geographic information systems (GIS). The procedure facilitates the process of locating a wind farm geographically, estimating its cost, and evaluating its generation capabilities. This paper uses Lebanon as a case study, and the procedure can be followed when similar necessary data are available for any other place. The procedure takes into consideration different design criteria such as wind data, urban areas, the type of turbines used, and the feasible distance between wind turbines. Moreover, GIS enhances wind data visualization and averaging. The procedure is implemented in ArcGISreg from ESRI and successfully locates the optimal site for wind farm based on the user preferences and the characteristics of the site under study. The results ensure noise pollution reduction, cost estimation, accurate farm area and location, and show the number of turbines that fit in this area. The paper also addresses privately owned wind farms ranging from household to commercial generation.
Keywords :
geographic information systems; power engineering computing; wind power plants; wind turbines; GIS-based wind farm; Lebanon; cost estimation; geographic information system; noise pollution reduction; turbines; wind data visualization; Decision support systems; Wind farms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electro/Information Technology, 2008. EIT 2008. IEEE International Conference on
Conference_Location :
Ames, IA
Print_ISBN :
978-1-4244-2029-2
Electronic_ISBN :
978-1-4244-2030-8
Type :
conf
DOI :
10.1109/EIT.2008.4554296
Filename :
4554296
Link To Document :
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