[ Identification des sites favorables à l’installation des centrales solaires photovoltaïques à l’aide de l’analyse multicritères et des SIG : Cas de l’arrondissement de Bélabo, Cameroun ]
Volume 26, Issue 4, July 2019, Pages 938–952
Tegno Nguekam Eric Wilson1 and Kamtchoua Mbetjock Camille2
1 Institut de Recherche Agricole pour le Développement (IRAD), Nkolbisson, Yaoundé, P. Box: 2123, Messa, Yaoundé, Cameroon
2 Institut Supérieur de Management et des Sciences Appliquées (ISMASA Hermès), Yaoundé, Cameroon
Original language: French
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
As energy supply and demand are unevenly distributed on the planet, it is necessary to find another solution to take over. It is now a question of using a cheap and economical source of energy because the protection of the environment has become an important issue. In this regard, renewables energies such as solar energy (sun), wind (wind) or hydraulic (water), geothermal (the heat of the earth's subsoil) considered as inexhaustible and easily exploitable energies appear as a solution to solve the problem. In Cameroon, for example, in the context of the use of solar energy and the opening up of energy in rural areas, the government has set up the electrification program of 1000 localities with solar photovoltaic system. The objective of this study was to identify through GIS and multi-criteria analysis, the suitable sites dedicated to the implementation of solar power stations in the Bélabo council in eastern Cameroon. The methodology consisted in the identification of the criteria (factors and constraints), in the classification and standardization of these criteria, and in their aggregation for the identification of suitable sites. This study has shown that 9% of the total area of Bélabo council has a high potential to be optimal areas for the installation of solar photovoltaic stations.
Author Keywords: Solar photovoltaic system, sites, AHP method, criteria, factors and constraints.
Volume 26, Issue 4, July 2019, Pages 938–952
Tegno Nguekam Eric Wilson1 and Kamtchoua Mbetjock Camille2
1 Institut de Recherche Agricole pour le Développement (IRAD), Nkolbisson, Yaoundé, P. Box: 2123, Messa, Yaoundé, Cameroon
2 Institut Supérieur de Management et des Sciences Appliquées (ISMASA Hermès), Yaoundé, Cameroon
Original language: French
Copyright © 2019 ISSR Journals. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
As energy supply and demand are unevenly distributed on the planet, it is necessary to find another solution to take over. It is now a question of using a cheap and economical source of energy because the protection of the environment has become an important issue. In this regard, renewables energies such as solar energy (sun), wind (wind) or hydraulic (water), geothermal (the heat of the earth's subsoil) considered as inexhaustible and easily exploitable energies appear as a solution to solve the problem. In Cameroon, for example, in the context of the use of solar energy and the opening up of energy in rural areas, the government has set up the electrification program of 1000 localities with solar photovoltaic system. The objective of this study was to identify through GIS and multi-criteria analysis, the suitable sites dedicated to the implementation of solar power stations in the Bélabo council in eastern Cameroon. The methodology consisted in the identification of the criteria (factors and constraints), in the classification and standardization of these criteria, and in their aggregation for the identification of suitable sites. This study has shown that 9% of the total area of Bélabo council has a high potential to be optimal areas for the installation of solar photovoltaic stations.
Author Keywords: Solar photovoltaic system, sites, AHP method, criteria, factors and constraints.
Abstract: (french)
L’offre et la demande en énergie étant inégalement réparties sur la planète, il s’avère nécessaire de trouver une autre solution pour prendre le relais. Il s’agit désormais d’utiliser une source d’énergie économique et peu polluante car la protection de l’environnement est devenue un enjeu important. A ce sujet, Les énergies renouvelables telles que l’énergie solaire (soleil), éolienne (vent) ou hydraulique (eau), géothermique (la chaleur du sous-sol terrestre) considérées comme des énergies inépuisables et facilement exploitables apparaissent comme une solution envisagée pour résoudre le problème. C’est ainsi qu’au Cameroun dans le cadre de l’utilisation de l’énergie solaire et du désenclavement énergétique des zones rurales, le gouvernement a mis en place le programme d’électrification des 1000 localités par système solaire photovoltaïque. L’objectif de cette étude était d’identifier à travers les SIG et de l’analyse multicritère les sites propices à l’installation des centrales solaires dans l’arrondissement de Bélabo dans l’Est Cameroun. La méthodologie a consisté en l’identification les critères (facteurs et contraintes), en la classification standardisation de ces critères, et en leur agrégation pour ressortir les zones propices à l’installation des centrales solaires. Cette étude a ainsi permis de montrer que 9% de la superficie totale de Bélabo présentent un potentiel élevé pour être des zones optimales à l’installation des centrales.
Author Keywords: Système solaire photovoltaïque , Sites , SIG , Méthode AHP , Critères, facteurs, contraintes.
How to Cite this Article
Tegno Nguekam Eric Wilson and Kamtchoua Mbetjock Camille, “Identification of suitable sites for the installation of solar photovoltaic stations with the multi-criteria analysis and GIS : Case of Bélabo Council, Cameroon,” International Journal of Innovation and Applied Studies, vol. 26, no. 4, pp. 938–952, July 2019.
