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Dual Battery Storage System: An Optimized Strategy for the Utilization of Renewable Photovoltaic Energy in the United Kingdom

Authors :
Sarvar Hussain Nengroo
Min-Soo Kim
Hee Jee Kim
Muhammad Kamran
Muhammad Umair Ali
Dohyun Kim
Altaf Hussain
Source :
Electronics, Vol 7, Iss 9, p 177 (2018), Electronics, Volume 7, Issue 9
Publication Year :
2018
Publisher :
MDPI AG, 2018.

Abstract

The increasing world human population has given rise to the current energy crisis and impending global warming. To meet the international environmental obligations, alternative technological advances have been made to harvest clean and renewable energy. The solar photovoltaics (PV) system is a relatively new concept of clean technology that can be employed as an autonomous power source for a range of off-grid applications. In this study, the dual battery storage system is coupled with a solar PV system and a low voltage grid, benefitting from the feed-in tariff (FIT) policy. The main outcomes of this study are: (I) A novel dual battery storage system for the optimal use of the PV system/energy is proposed<br />(II) The problem is formulated in the form of a mathematical model, and a cost function is devised for effective cost calculation<br />(III) An optimal cost analysis is presented for the effective use of PV energy<br />(IV) real-time data of a solar PV taken from the owner and the demand profile collected from the user is applied to the proposed approach, with United Kingdom (UK) tariff incentives. This system works in a loop by charging one system from the solar PV for one day, and discharging the other system. This model gives certainty that power is exported to the grid when the solar PV generates an excess amount<br />batteries are utilized during the peak hours, and power is purchased when the demand is not met by the batteries, or when the demand is higher than the generation. This study examined the economic knowledge of solar PV and battery storage systems by considering the FIT incentives.

Details

ISSN :
20799292
Volume :
7
Database :
OpenAIRE
Journal :
Electronics
Accession number :
edsair.doi.dedup.....a8b47f1ddbb4810f537bf677a1e2e1fd
Full Text :
https://doi.org/10.3390/electronics7090177