PV Cell Orientation Angle Optimization for a Solar Energy Harvesting Base Station

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PV Cell Orientation Angle Optimization for a Solar Energy Harvesting Base Station
Title:
PV Cell Orientation Angle Optimization for a Solar Energy Harvesting Base Station
Journal Title:
GLOBECOM 2017 - 2017 IEEE Global Communications Conference
Keywords:
Publication Date:
04 December 2017
Citation:
D. Benda, X. Chu, S. Sun, T. Q. S. Quek and A. Buckley, "PV Cell Orientation Angle Optimization for a Solar Energy Harvesting Base Station," GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore, 2017, pp. 1-6. doi: 10.1109/GLOCOM.2017.8254215
Abstract:
Photovoltaic (PV) cell powered base stations (BSs) have been widely considered for reducing the cellular network's environmental footprint in the future. An inherent challenge is to match the energy generation profile with the energy consumption profile. In this paper, we develop a Markov chain based algorithm to determine the optimal orientation angle of the PV cell for matching the two profiles, given the energy generation profile of the geo-location, the load profile of the BS and the battery capacity. We investigate the effects of different battery capacities on the optimized PV cell orientation angle for BSs located in a business district in London in summer. Our results show that the optimal orientation angle for a small battery capacity (10000 Joules at a small BS) is in the range from 35° to 60°, whereas a wider range from -50° to 60° could be chosen for a large battery capacity (50000 Joules at a small BS). This reveals that PV cell orientation angle optimization is more important for PV cell powered BSs with small battery capacities than for large battery capacities.
License type:
PublisherCopyrights
Funding Info:
Description:
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISBN:
978-1-5090-5019-2
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