A Review of Battery Energy Storage Optimization in the Built Environment

Publication date

2025-05-02

Authors

Coccato, SimoneORCID 0000-0002-6084-9167
Barhmi, KhadijaISNI 0000000517762228
Lampropoulos, I.ORCID 0000-0001-8566-4970ISNI 0000000492905084
Golroodbari, Sara
van Sark, W. G.J.H.M.ORCID 0000-0002-4738-1088ISNI 0000000397039608

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Advisors

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Document Type

Article
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cc_by

Abstract

The increasing adoption of renewable energy sources necessitates efficient energy storage solutions, with buildings emerging as critical nodes in residential energy systems. This review synthesizes state-of-the-art research on the role of batteries in residential settings, emphasizing their diverse applications, such as energy storage for photovoltaic systems, peak shaving, load shifting, demand response, and backup power. Distinct from prior review studies, our work provides a structured framework categorizing battery applications, spanning individual use, shared systems, and energy communities, and examines modeling techniques like State of Charge estimation and degradation analysis. Highlighting the integration of batteries with renewable infrastructures, we explore multi-objective optimization strategies and hierarchical decomposition methods for effective battery utilization. The findings underscore that advanced battery management systems and technological innovations are aimed at extending battery life and enhancing efficiency. Finally, we identify critical knowledge gaps and propose directions for future research, with a focus on scaling battery applications to meet operational, economic, and environmental objectives. By bridging theoretical insights with practical applications, this review contributes to advancing the understanding and optimization of residential energy storage systems within the energy transition.

Keywords

battery degradation, battery energy storage systems (BESSs), energy communities, multi-objective optimization (MOO), peak shaving, renewable energy integration, residential buildings, second-life batteries (SLBs), self-consumption optimization, state of charge (SoC), Energy Engineering and Power Technology, Electrochemistry, Electrical and Electronic Engineering, SDG 7 - Affordable and Clean Energy

Citation

Coccato, S, Barhmi, K, Lampropoulos, I, Golroodbari, S & van Sark, W 2025, 'A Review of Battery Energy Storage Optimization in the Built Environment', Batteries, vol. 11, no. 5, 179. https://doi.org/10.3390/batteries11050179