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International Journal of Advanced Research in Artificial Intelligence(ijarai), Volume 5 Issue 11, 2016.
Abstract: In this research design and implementation of solar photo voltaic cell is done for base transceiver system (BTS) of telecom cellular networks in remote areas of Pakistan, to accomplish this task investigation is done regarding the present alternate power source of base transceiver system (BTS) that is the generator sets used as a stand-by, prime and t-prime source. This research will examine that generator sets fuel consumption and maintenance cost is considerably high and the cellular company has to pay a lot to keep a site on air and to overcome the connectivity issues.To resolve these issues this research is aimed to implement solar technology on BTS, for this purpose exploration is done regarding BTS rectifier system and suggested to use power on distribution systems 16 (PODS 16), latest technology evolution (LTE) based instead of the simple BTS rectifier, this new rectifier is intelligent and has redundant ways to overcome power issues as it has the capability to work directly on solar panel equipments and it requires DC supply. Other important factor is that solar panel recharge batteries for power backup and to keep the site on air during night time. Different cost comparison of solar and generator sets have been done by taking real data of different remote areas sites and in the end it is concluded that solar is the alternate costless, environmental friendly source of energy for BTS and can be implemented both for off-grid and on-grid systems.
Abdul Ghayur, Sanaullah Ahmad and Manzoor Ahmad, “Performance Analysis of Solar Photovoltaic Cells for Telecommunication Cellular Network in Remote Areas of Pakistan” International Journal of Advanced Research in Artificial Intelligence(ijarai), 5(11), 2016. http://dx.doi.org/10.14569/IJARAI.2016.051105
@article{Ghayur2016,
title = {Performance Analysis of Solar Photovoltaic Cells for Telecommunication Cellular Network in Remote Areas of Pakistan},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2016.051105},
url = {http://dx.doi.org/10.14569/IJARAI.2016.051105},
year = {2016},
publisher = {The Science and Information Organization},
volume = {5},
number = {11},
author = {Abdul Ghayur and Sanaullah Ahmad and Manzoor Ahmad}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.