%0 Journal Article
%T Selection Wind Farm Sites Based on GIS Using a Boolean Method: Evaluation of the Case of Cameroon
%A Fotsing Metegam Isabelle Flora
%A Njomo Donatien
%A Ren¨¦ Tchinda
%A Oumarou Hamandjoda
%J Journal of Power and Energy Engineering
%P 1-24
%@ 2327-5901
%D 2021
%I Scientific Research Publishing
%R 10.4236/jpee.2021.91001
%X The negative effects of traditional methods of
electricity generation on the<span style=\"font-family:;\" \"=\"\"><span style=\"font-family:Verdana;\"> environment have created the need for strategic
planning and development of renewable and sustainable energy systems. This
paper presents the analysis of the suitability of wind farm sites using a Boolean
decision-making approach </span><span style=\"font-family:Verdana;\">based on geographic
information system (GIS) modeling. This analysis is </span><span style=\"font-family:Verdana;\">based on different
climatic, geographical, economic and environmental criteria such </span><span style=\"font-family:Verdana;\">as wind resource, slope, accessibility by road,
proximity to the electricity</span><span style=\"font-family:Verdana;\"> network and optimal distance from airports.
The results of the study show that the most favorable sites are mainly located
in the northern part of the country, particularly in the Far North and North
regions. There are also favorable </span><span style=\"font-family:Verdana;\">sites in
the North-West, South-West, West, Littoral and very little in the</span><span style=\"font-family:Verdana;\"> South
while the central and eastern regions are not suitable. This is mainly due to
the tropical forest that covers the entire region of East Cameroon and the low
wind speed in these regions which is the determining factor for the
installation of wind farms. The appropriate land for the installation of wind </span><span style=\"font-family:Verdana;\">farms is </span><span style=\"font-family:Verdana;\">approximately
2.56% corresponding to an area of </span></span><span style=\"font-family:Verdana;\">11</span><span style=\"font-family:Verdana;\">,</span><span style=\"font-family:Verdana;\">602</span><span style=\"font-family:Verdana;\">.494414</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">km<span style=\"white-space:nowrap;\"><sup></sup></span><sup></sup></span><span style=\"font-family:Verdana;\"><sup>2</sup><span style=\"white-space:nowrap;\"></span></span><span style=\"font-family:Verdana;\">. Ho</span><span style=\"font-family:Verdana;\">w</span><span style=\"font-family:Verdana;\">ever, when we include the condition that a wind farm
must have at least 4</span><span style=\"font-family:;\" \"=\"\"> </span><span style=\"font-family:Verdana;\">km<sup></sup></span><span style=\"font-family:Verdana;\"><span style=\"white-space:normal;font-family:Verdana;\"><span style=\"white-space:nowrap;\"><sup></sup></span><sup></sup></span><span
%K Wind Energy
%K Boolean Method
%K Geographic Information System (GIS)
%K Cameroon
%K Wind Farm
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=106755