Hybrid Energy System for Powering Base Transceiver Stations with Different Battery Storage Technologies

Document Type : Original Article

Authors

1 Department of Environment and Energy, Islamic Azad University Science and Research Branch, Tehran, Iran

2 Islamic Azad University, Jolfa International Branch, Jolfa, Iran

3 Faculty of New Sciences and Technologies, university of Tehran, Tehran, Iran

4 Department of Energy Engineering, Sharif University of Technology, Tehran, Iran

5 School of Mechanical Engineering, Shiraz University, Shiraz, Iran

6 Sharif Energy Research Institute, Sharif University of Technology, Tehran, Iran

10.22109/jemt.2022.337475.1380

Abstract

This study presents modeling and simulation of a stand-alone hybrid energy system for a base transceiver
station (BTS). The system is consisted of a wind and turbine photovoltaic (PV) panels as renewable
resources, and also batteries to store excess energy in order to boost the system reliability. Two different
types of batteries are considered for storage purposes; lead-acid and vanadium redox-flow batteries (VRB)
batteries. Most stand-alone energy systems for various applications take advantage of at least a single
storage technology, generally lead-acid batteries. However, with recent advances in different battery
technologies, vanadium redox-flow batteries could be taken into account as reliable candidate. The
vanadium redox-flow battery has a desirable prospect due to its extended life span and also the potential
for separating and scaling up involved nominal power and nominal energy. The system is modelled and
simulated hourly (quasi-dynamically) in Matlab for an operational year. The model utilizes insolation,
wind speed and air temperature data. The system performance has been assessed with a mobile telephone
Base Transceiver Stations (BTS) as the case study. Simulations results have shown that the suggested
model can be used to study the effect of the altering weather conditions on each charge/discharge cycles
and batteries voltage. Finally the proposed model yields the optimal battery network design for a variety
of applications.

Keywords

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Journal of Energy Management and Technology
Volume 7, Issue 2
June 2023
Pages 59-68

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History

  • Receive Date: 16 April 2022
  • Revise Date: 13 September 2022
  • Accept Date: 02 November 2022

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