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024 7 _ |a 10.1016/j.apenergy.2024.123732
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024 7 _ |a 1872-9118
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024 7 _ |a 10.34734/FZJ-2024-04644
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100 1 _ |a Glücker, Philipp
|0 P:(DE-Juel1)187346
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|e Corresponding author
245 _ _ |a Optimal sizing of battery energy storage system for local multi-energy systems: The impact of the thermal vector
260 _ _ |a Amsterdam [u.a.]
|c 2024
|b Elsevier Science
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520 _ _ |a Battery energy storage systems (BESS) can complement the variability of local renewable energy sources.However, existing research focuses on the design of BESS for electricity systems, mainly neglecting interactionwith other energy vectors, e.g., the thermal vector. This study investigates the impact of explicitly modellingthe thermal vector on the optimal design of BESS within local multi-energy systems. A holistic problem,including the nonlinear representation of the AC power flow, was developed within a non-convex mixedinteger quadratically constrained program formulation. Two modelling approaches were employed: the explicitmodelling of the thermal vector, and its implicit consideration within an all-electric demand model. Theseapproaches were applied to investigate the impact of neglecting the thermal vector on the optimal BESSdesign in two real-world case studies. A constant and a time-varying electricity tariff, and three differentsolar irradiance scenarios were investigated. The results show significant BESS oversizing, higher annual costsand higher global warming impact when neglecting the explicit model of the thermal vector, both within abuilding and a local energy community. A time-varying electricity tariff enhances the BESS oversizing, withup to 20.5% oversizing for the BESS for a high solar irradiance scenario. Moreover, the annual costs of theall-electric demand model are around 8% higher compared to the explicit multi-energy model. Our findingsclearly state the importance of explicitly modelling the coupled thermal vector during the sizing of electricalstorage systems.
536 _ _ |a 1122 - Design, Operation and Digitalization of the Future Energy Grids (POF4-112)
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700 1 _ |a Pesch, Thiemo
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700 1 _ |a Benigni, Andrea
|0 P:(DE-Juel1)179029
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773 _ _ |a 10.1016/j.apenergy.2024.123732
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