Albert Ayang, Paul-Salomon Ngohe-Ekam, Bossou Videme and Jean Temga
Article (2016)
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Abstract
In this paper, the work consists of categorizing telecommunication base stations (BTS) for the Sahel area of Cameroon according to their power consumption per month. It consists also of proposing a model of a power consumption and finally proceeding to energy audits in each type of base station in order to outline the possibilities of realizing energy savings. Three types of telecommunication base stations (BTS) are found in the Sahel area of Cameroon. The energy model takes into account power consumption of all equipment located in base stations (BTS). The energy audits showed that mismanagement of lighting systems, and of air-conditioning systems, and the type of buildings increased the power consumption of the base station. By applying energy savings techniques proposed for base stations (BTS) in the Sahel zone, up to 17% of energy savings are realized in CRTV base stations, approximately 24.4% of energy are realized in the base station of Missinguileo, and approximately 14.5% of energy savings are realized in the base station of Maroua market.
Subjects: |
2500 Electrical and electronic engineering > 2500 Electrical and electronic engineering 2500 Electrical and electronic engineering > 2507 Communications systems 2500 Electrical and electronic engineering > 2520 Microwave and millimeter-wave devices, circuits and technologies |
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Department: | Department of Electrical Engineering |
Research Center: | POLY-GRAMES - Advanced Research Centre in Microwaves and Space Electronics |
PolyPublie URL: | https://publications.polymtl.ca/4762/ |
Journal Title: | Journal of Energy (vol. 2016) |
Publisher: | Hindawi |
DOI: | 10.1155/2016/3161060 |
Official URL: | https://doi.org/10.1155/2016/3161060 |
Date Deposited: | 17 Mar 2021 10:35 |
Last Modified: | 28 Sep 2024 17:19 |
Cite in APA 7: | Ayang, A., Ngohe-Ekam, P.-S., Videme, B., & Temga, J. (2016). Power consumption: Base stations of telecommunication in Sahel zone of Cameroon: Typology based on the power consumption—model and energy savings. Journal of Energy, 2016, 1-15. https://doi.org/10.1155/2016/3161060 |
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