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1 Journal of New Technologies in Environmental Science

1 2023

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Comparative computational analysis of the selection of battery energy storage for civil objects and parking with photovoltaic plants

Zinkevych Petro, Baliuta Serhii, Kuievda Iuliia

Journal of New Technologies in Environmental Science

2023

Vol. 7, nr 1

16--23

One of the disadvantages of solar power plants is that they do not produce electricity at night, so they cannot support the load of consumers. One of the reliable methods of increasing the efficiency of the use of photovoltaic power station (PPS) for consumers is the installation of energy storage. This study aims to investigate the efficiency of using a battery energy storage system (BESS) that is designed to power a civil facility and a parking lot. This study presents a feasibility analysis of BESS using System Advisor Model (SAM) software. The following objects were chosen as objects of research: a cottage; 19-story residential building with built-in non-residential premises (BNP); 9th floor parking lot for 979 cars. These facilities have solar power plants installed on the roof. BESS is planned to be used for power supply of the entire facility and power consumers. For the existing PPS, taking into account the peak load, the selection of the storage energy and modeling of the system operation modes was performed. The modes of use of the usage accumulator have been studied. The most effective mode of operation is mode 1, which involves charging the electricity storage during the day, and feeding the load in the evening. It is advisable to use this mode throughout the year. Mode 2 should be used to cover the load only during the spring-winter-autumn period, when the electricity generation from the FES is not sufficient. The simulation results showed that BESS has the highest economic efficiency for the electricity supply of BZB with a payback period of 10.5 years with a battery utilization efficiency of 96.49%.