Modeling Electrical Particle Thermal Energy Storage Systems for Long-Duration, Grid-Electricity Storage Applications

Gifford, Jeffrey; Wang, Xingchao; Ma, Zhiwen; Braun, Robert

doi:10.1016/j.apenergy.2024.123521

Modeling Electrical Particle Thermal Energy Storage Systems for Long-Duration, Grid-Electricity Storage Applications

Journal Article · Fri Jun 14 04:00:00 EDT 2024 · Applied Energy

DOI:https://doi.org/10.1016/j.apenergy.2024.123521· OSTI ID:2382798

; Wang, Xingchao; ; Braun, Robert

Particle-based thermal energy storage technologies could facilitate increased penetration of variable renewable energy resources by decreasing the costs of providing dispatchable, carbon-free generation resources. However, the technology is not yet commercially available, and its performance has not been thoroughly characterized. This work creates a system modeling platform for particle-based thermal energy storage systems that can characterize performance and is transferable to emerging forms and applications of particle-based thermal energy storage. A library of key component models developed for particle-based thermal energy storage is described and benchmarked against high-fidelity models or with experimental results. A notional 135 MWe power plant employing particle thermal energy storage for grid-scale, electricity storage applications is conceived and simulated. The results show these systems can achieve greater than 50% annual round-trip efficiencies in a variety of durations, locations, dispatch schedules, and key design parameters. A 1.5% decrease in round-trip efficiency was observed when increasing storage duration from 10 to 100 h. Dispatch schedules can impact round-trip efficiency by greater than 0.5%. In regards to component design and performance, the insulation thickness of the silos and the heat exchanger approach temperature impacted performance the most. Particle-based thermal energy storage has the potential to assist in the decarbonization of not only electricity but industry and building sectors as well. This work enables the analysis of the performance of systems in these sectors and serves as a detailed technical model for design optimization in the future.

Research Organization:: National Renewable Energy Laboratory (NREL), Golden, CO (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

DOE Contract Number:: AC36-08GO28308

OSTI ID:: 2382798

Report Number(s):: NREL/JA-5700-86048; MainId:86821; UUID:fb6b111d-aa09-490d-8780-598e666c6393; MainAdminId:72960

Journal Information:: Applied Energy, Journal Name: Applied Energy Vol. 371

Country of Publication:: United States

Language:: English

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