Energy Based Analysis and Backup Duration Evaluation of Battery Systems for Critical Loads in Hybrid Power Distribution Systems for Buildings
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Abstract
This paper presents an energy-based analysis and backup duration evaluation of battery systems supplying critical loads in hybrid power distribution systems for buildings. The proposed approach emphasizes a transparent, traceable, and practically applicable calculation framework suitable for preliminary assessment without relying on specialized simulation tools. In this study, a structured Microsoft Excel framework is developed, consisting of three main parts: Inputs, SOC Calculation, and Sensitivity Analysis. The framework is used to estimate usable energy and backup duration under key parameters, including battery capacity, allowable depth of discharge, overall conversion efficiency of the power conversion system, and critical-load demand. In addition, a consistency check between the closed-form energy-based calculation and the time-step calculation is included to improve the credibility of the proposed method. The results are presented in terms of battery state-of-charge trajectories over time and parametric relationships between backup duration and major system variables. For the base case of 100 kWh,
0.8 ,
0.9 and
10 kW, the calculated backup duration is 7.2 hours. Sensitivity analysis shows that backup duration increases with battery capacity and system efficiency, and decreases with critical-load demand. The proposed framework therefore provides a concise and verifiable tool for preliminary design and adequacy assessment of battery backup systems for building critical loads.
up systems for building critical loads.
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References
IEEE Recommended Practice for Battery Management Systems in Stationary Energy Storage Applications, IEEE Standard 2686-2024, 2024.
T. Baloyi and S. Chowdhury, “Sizing and selection of battery energy storage system for time of use arbitrage in a commercial building in South Africa,” in Proceeding of IEEE PES/IAS PowerAfrica, Aug. 2021, pp. 1 - 5. doi: 10.1109/PowerAfrica52236.2021. 9543436.
J. Pai, L. Pota, S. Venkatesan, and P. Siano, “Hybrid optimization of backup energy storage for building load management,” Applied Sciences, vol. 14, no. 17, Art. no. 7747, 2024.
J. M. S. Callegari, W. C. S. Amorim, H. A. Pereira, B. J. Cardoso Filho, and D. I. Brandao, “On sizing of battery energy storage systems for independent multi-ancillary services in AC grids,” Results in Engineering, 2025, Art. no. 101000. doi: 10.1016/j.prime.2025. 101000.
L. Su, W. Gang, M. Liu, Z. Ling, Y. Zhang, and S. Dong, “A capacity optimization method for the battery energy storage system based on historical electricity data of existing buildings,” Energy Reports, vol. 13, pp. 6132-6147, Jun. 2025.doi: 10.1016/j.egyr.2025. 05.060.
C. H. B. Apribowo, Sarjiya, S. P. Hadi, and F.D. Wijaya, “Optimal planning of battery energy storage systems by considering battery degradation due to ambient temperature: A review, challenges, and new perspective,” Batteries, vol. 8, no. 12, pp. 290, Dec. 2022. doi:10.3390/batteries8120290
N. Ghaeminezhad, Q. Ouyang, and J. Wei, “Review on state of charge estimation techniques of lithium-ion batteries: A control-oriented approach,” Journal of Energy Storage, vol. 72, pp. 108707, Nov. 2023. doi: 10.1016/j.est.2023.108707.
