Comprehensive Energy Analysis and Performance Evaluation of Lithium-Ion Battery Integration in Photovoltaic Systems: A Comparative Study on Reliability and Environmental Impact

Authors:
Chibuzo Victor Ikwuagwu, Ndudim Henry Ononiwu, Kafayat Adeyemi

Addresses:
1,2Department of Mechanical Engineering, University of Nigeria Nsukka, Enugu, Nigeria. 3Department of Mechanical Engineering, University of Abuja, Abuja, Nigeria. chibuzor.ikwuagwu@unn.edu.ng1, ndudim.ononiwu@unn.edu.ng2, kafayat.adeyemi@uniabuja.edu.ng3

Abstract:

The ongoing advancement of lithium-ion batteries and their distinctive technical attributes lay the groundwork for the exploration undertaken herein. The diversity of loads applied within electric storage battery systems (ESBS) plays a pivotal role in determining the overall efficiency of the battery. In this research endeavor, a comprehensive battery model has been meticulously employed to conduct an in-depth analysis of energy consumption patterns and the efficacy of lithium-ion batteries within solar photovoltaic (PV) systems. Utilizing a specialized tool known as the maximum power point tracker (MPPT), crucial insights into the effectiveness, power output, and capacity of the battery were gleaned by employing an observation and perturbation approach. Over a period spanning six months, the performance of lithium-ion batteries has been meticulously scrutinized across various operational paradigms, leveraging data on load profiles and PV generation. Notably, the lithium-ion battery bank exhibited maximum mean energy efficiencies of 32.76%, 38.3%, 43.33%, 45.03%, 52.64%, and 56.87%, respectively, over the timeframe as mentioned earlier, while boasting an energy capacity of 685Ah. Maintaining a maximum voltage of 14.4V owing to the series connection of batteries, this study offers a condensed yet comprehensive framework for the analysis of energy utilization and the effectiveness of lithium-ion batteries within battery storage systems (BSS).

Keywords: Photovoltaic System; Lithium-ion Battery; Power Output; Energy Efficiency; Electric Storage Battery Systems; Maximum Power Point Tracker; Battery Storage Systems; Energy Consumption Patterns.

Received on: 28/05/2023, Revised on: 09/08/2023, Accepted on: 21/09/2023, Published on: 23/12/2023

FMDB Transactions on Sustainable Energy Sequence, 2023 Vol. 1 No. 2, Pages: 83-93

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