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Battery Energy Storage Systems (BESS) are a new key to modernizing power grids, supporting renewable integration, improving grid flexibility, and supporting distributed energy resources. This paper proposes a unified framework that integrates analytics, system design, and economic modeling to guide scalable, data-driven BESS deployment. A modular Python-based dashboard links technical performance, mainly state of charge dynamics, tracks degradation through remaining capacity trends, monitors budget utilization, maps hourly load demand patterns, and compares energy density and cost across battery chemistries. Financial indicators levelized cost of storage, net present value, and internal rate of return, are linked to technical key performance indicators, enabling stakeholders to simulate, monitor, and optimize operational and financial outcomes. The framework is validated on a 1 MW/2 MWh lithium ferrophosphate-based BESS, demonstrating high operational efficiency, robust financial returns, and long-term sustainability. This integrated perspective bridges the gap between engineering reliability and commercial bankability, providing a scalable blueprint for utility-scale and distributed energy storage projects.
Battery Energy Storage System (BESS); Techno-economic analysis, Financial viability; Energy storage framework
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Framework for Battery Energy Storage System Bridging Technical Performance and Financial Viability
How to cite this paper: Sathya Prakash Singh, Zhenyong Yu, Chengqiang Li, Fei Ke, Zili Dong, Shaozhong Zhao. (2025). Framework for Battery Energy Storage System Bridging Technical Performance and Financial Viability. Engineering Advances, 5(3), 128-134.
DOI: http://dx.doi.org/10.26855/ea.2025.07.007