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The impact of urban district composition on storage technology reliance: trade-offs between thermal storage, batteries, and power-to-hydrogen

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  • Petkov, Ivalin
  • Gabrielli, Paolo
  • Spokaite, Marija

Abstract

The composition of urban districts - residential, commercial, or ‘mixed’ topologies - can have drastically different energy load profiles and peak demands, leading to altered optimal District Multi-Energy System (D-MES) designs. Although demand-influenced differences in D-MES designs are generally understood, there is a research gap of how the interplay of various storage technologies differs between topologies. In this paper, we investigate the extent of D-MES reliance on storage technologies over various district topologies in central Europe. The core of this analysis relies on a multi-objective MILP optimization model utilized in an uncertainty analysis framework.

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  • Petkov, Ivalin & Gabrielli, Paolo & Spokaite, Marija, 2021. "The impact of urban district composition on storage technology reliance: trade-offs between thermal storage, batteries, and power-to-hydrogen," Energy, Elsevier, vol. 224(C).
    • Handle: RePEc:eee:energy:v:224:y:2021:i:c:s0360544221003510
    DOI: 10.1016/j.energy.2021.120102
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    Cited by:

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    2. Le, Tay Son & Nguyen, Tuan Ngoc & Bui, Dac-Khuong & Ngo, Tuan Duc, 2023. "Optimal sizing of renewable energy storage: A techno-economic analysis of hydrogen, battery and hybrid systems considering degradation and seasonal storage," Applied Energy, Elsevier, vol. 336(C).
    3. Perera, A.T.D. & Soga, Kenichi & Xu, Yujie & Nico, Peter S. & Hong, Tianzhen, 2023. "Enhancing flexibility for climate change using seasonal energy storage (aquifer thermal energy storage) in distributed energy systems," Applied Energy, Elsevier, vol. 340(C).
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    5. Lei, Zijian & Yu, Hao & Li, Peng & Ji, Haoran & Yan, Jinyue & Song, Guanyu & Wang, Chengshan, 2024. "A compact time horizon compression method for planning community integrated energy systems with long-term energy storage," Applied Energy, Elsevier, vol. 361(C).
    6. Els van der Roest & Theo Fens & Martin Bloemendal & Stijn Beernink & Jan Peter van der Hoek & Ad J. M. van Wijk, 2021. "The Impact of System Integration on System Costs of a Neighborhood Energy and Water System," Energies, MDPI, vol. 14(9), pages 1-33, May.
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