摘要
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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;"> of surface area, is goes from 2.56% to 2.22% (11</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;">602.494414 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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;"> to</span><span style="font-family:Verdana;"> 10</span><span style="font-family:Verdana;">,</span><span style="font-family:;" "=""><span style="font-family:Verdana;">344.424539 km</span><span style="font-family:Verdana;"><sup></sup></span></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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;">);thus a surface reduction of approximately 1258</span><span style="font-family:Verdana;">.</span><span style="font-family:;" "=""><span style="font-family:Verdana;">069875 km</span><span style="font-family:Verdana;"><sup></sup></span></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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;">. We can conclude that despite the fact that Cameroon does not have a huge potential for wind energy because of the low wind speed observed in the country, it is still possible to have some favorable sites for the installation of the parks wind. In addition, a study of hybrid solar-wind systems could improve the efficiency of the power plants in Cameroon.</span>
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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;"> of surface area, is goes from 2.56% to 2.22% (11</span><span style="font-family:Verdana;">,</span><span style="font-family:Verdana;">602.494414 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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;"> to</span><span style="font-family:Verdana;"> 10</span><span style="font-family:Verdana;">,</span><span style="font-family:;" "=""><span style="font-family:Verdana;">344.424539 km</span><span style="font-family:Verdana;"><sup></sup></span></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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;">);thus a surface reduction of approximately 1258</span><span style="font-family:Verdana;">.</span><span style="font-family:;" "=""><span style="font-family:Verdana;">069875 km</span><span style="font-family:Verdana;"><sup></sup></span></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 style="white-space:normal;font-family:Verdana;"><sup>2</sup><span style="white-space:nowrap;"></span></span></span><span style="font-family:Verdana;">. We can conclude that despite the fact that Cameroon does not have a huge potential for wind energy because of the low wind speed observed in the country, it is still possible to have some favorable sites for the installation of the parks wind. In addition, a study of hybrid solar-wind systems could improve the efficiency of the power plants in Cameroon.</span>
作者
Fotsing Metegam Isabelle Flora
Njomo Donatien
René Tchinda
Oumarou Hamandjoda
Fotsing Metegam Isabelle Flora;Njomo Donatien;René Tchinda;Oumarou Hamandjoda(Environmental Energy Technologies Laboratory (EETL), University of Yaounde 1, Yaounde, Cameroon;Laboratory of Industrial Systems and Environment of the University of Dschang, Dschang, Cameroon;Energetic Laboratory, National Higher Polytechnic School, Yaounde, Cameroon)
