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Modeling electrical particle thermal energy storage systems for long-duration, grid-electricity storage applications

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

Abstract

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.

Suggested Citation

  • Gifford, Jeffrey & Wang, Xingchao & Ma, Zhiwen & Braun, Robert, 2024. "Modeling electrical particle thermal energy storage systems for long-duration, grid-electricity storage applications," Applied Energy, Elsevier, vol. 371(C).
    • Handle: RePEc:eee:appene:v:371:y:2024:i:c:s0306261924009048
    DOI: 10.1016/j.apenergy.2024.123521
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    1. Singh, Omendra Kumar, 2016. "Performance enhancement of combined cycle power plant using inlet air cooling by exhaust heat operated ammonia-water absorption refrigeration system," Applied Energy, Elsevier, vol. 180(C), pages 867-879.
    2. Pokhrel, Sajjan & Amiri, Leyla & Zueter, Ahmad & Poncet, Sébastien & Hassani, Ferri P. & Sasmito, Agus P. & Ghoreishi-Madiseh, Seyed Ali, 2021. "Thermal performance evaluation of integrated solar-geothermal system; a semi-conjugate reduced order numerical model," Applied Energy, Elsevier, vol. 303(C).
    3. Hinkelman, Kathryn & Wang, Jing & Zuo, Wangda & Gautier, Antoine & Wetter, Michael & Fan, Chengliang & Long, Nicholas, 2022. "Modelica-based modeling and simulation of district cooling systems: A case study," Applied Energy, Elsevier, vol. 311(C).
    4. Spiliotis, Konstantinos & Gonçalves, Juliana E. & Saelens, Dirk & Baert, Kris & Driesen, Johan, 2020. "Electrical system architectures for building-integrated photovoltaics: A comparative analysis using a modelling framework in Modelica," Applied Energy, Elsevier, vol. 261(C).
    5. González-Díaz, Abigail & Alcaráz-Calderón, Agustín M. & González-Díaz, Maria Ortencia & Méndez-Aranda, Ángel & Lucquiaud, Mathieu & González-Santaló, Jose Miguel, 2017. "Effect of the ambient conditions on gas turbine combined cycle power plants with post-combustion CO2 capture," Energy, Elsevier, vol. 134(C), pages 221-233.
    6. Becker, Sarah & Frew, Bethany A. & Andresen, Gorm B. & Zeyer, Timo & Schramm, Stefan & Greiner, Martin & Jacobson, Mark Z., 2014. "Features of a fully renewable US electricity system: Optimized mixes of wind and solar PV and transmission grid extensions," Energy, Elsevier, vol. 72(C), pages 443-458.
    7. McTigue, Joshua D. & White, Alexander J. & Markides, Christos N., 2015. "Parametric studies and optimisation of pumped thermal electricity storage," Applied Energy, Elsevier, vol. 137(C), pages 800-811.
    8. Ibrahim, Thamir k. & Mohammed, Mohammed Kamil & Awad, Omar I. & Rahman, M.M. & Najafi, G. & Basrawi, Firdaus & Abd Alla, Ahmed N. & Mamat, Rizalman, 2017. "The optimum performance of the combined cycle power plant: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 459-474.
    9. Brantley H. Mills & Clifford K. Ho & Nathaniel R. Schroeder & Reid Shaeffer & Hendrik F. Laubscher & Kevin J. Albrecht, 2022. "Design Evaluation of a Next-Generation High-Temperature Particle Receiver for Concentrating Solar Thermal Applications," Energies, MDPI, vol. 15(5), pages 1-20, February.
    10. Huang, Wei & Korba, David & Randhir, Kelvin & Petrasch, Joerg & Klausner, James & AuYeung, Nick & Li, Like, 2022. "Thermochemical reduction modeling in a high-temperature moving-bed reactor for energy storage: 1D model," Applied Energy, Elsevier, vol. 306(PB).
    11. Nestor A. Sepulveda & Jesse D. Jenkins & Aurora Edington & Dharik S. Mallapragada & Richard K. Lester, 2021. "The design space for long-duration energy storage in decarbonized power systems," Nature Energy, Nature, vol. 6(5), pages 506-516, May.
    12. Reznicek, Evan P. & Braun, Robert J., 2020. "Reversible solid oxide cell systems for integration with natural gas pipeline and carbon capture infrastructure for grid energy management," Applied Energy, Elsevier, vol. 259(C).
    13. Bünning, Felix & Wetter, Michael & Fuchs, Marcus & Müller, Dirk, 2018. "Bidirectional low temperature district energy systems with agent-based control: Performance comparison and operation optimization," Applied Energy, Elsevier, vol. 209(C), pages 502-515.
    14. Jiang, Kaijun & Du, Xiaoze & Zhang, Qiang & Kong, Yanqiang & Xu, Chao & Ju, Xing, 2021. "Review on gas-solid fluidized bed particle solar receivers applied in concentrated solar applications: Materials, configurations and methodologies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 150(C).
    15. Abdelrahman El-Leathy & Sheldon Jeter & Hany Al-Ansary & Said Abdel-Khalik & Jonathan Roop & Matthew Golob & Syed Danish & Abdulaziz Alrished & Eldwin Djajadiwinata & Zeyad Al-Suhaibani, 2014. "Thermal Performance Evaluation of Two Thermal Energy Storage Tank Design Concepts for Use with a Solid Particle Receiver-Based Solar Power Tower," Energies, MDPI, vol. 7(12), pages 1-16, December.
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