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Analysis of controls for integrated energy storage system in energy arbitrage configuration with concrete thermal energy storage

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  • Mikkelson, Daniel
  • Frick, Konor

Abstract

Integrated energy systems (IES) are continuing to gain research support, as high-level studies indicate that systems integrating nuclear power, energy storage, and renewable sources can reduce carbon emissions and maintain grid stability. This paper details new modeling (written in the Modelica language) capable of dynamically measuring the system-wide feedback of a nuclear power plant (NPP) maneuvering through energy arbitrage. This is accomplished through integration with a thermal energy storage (TES) system via a novel turbomachinery model design that integrates seamlessly with standard fluid network analysis via conservation-law-based analysis. A new control system is implemented to enable the NPP modal operation to meet a 5-day power demand profile generated from Idaho Power Company data. Compared to scaling dispatchable power systems to maximum demand, 20% more power can be generated by using energy arbitrage over this dataset. These detailed physical models provide a novel confirmation of methods previously used to support nuclear IES.

Suggested Citation

  • Mikkelson, Daniel & Frick, Konor, 2022. "Analysis of controls for integrated energy storage system in energy arbitrage configuration with concrete thermal energy storage," Applied Energy, Elsevier, vol. 313(C).
    • Handle: RePEc:eee:appene:v:313:y:2022:i:c:s0306261922002471
    DOI: 10.1016/j.apenergy.2022.118800
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    References listed on IDEAS

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    1. Fattahi, A. & Sijm, J. & Faaij, A., 2020. "A systemic approach to analyze integrated energy system modeling tools: A review of national models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    2. Connolly, D. & Lund, H. & Mathiesen, B.V. & Leahy, M., 2010. "A review of computer tools for analysing the integration of renewable energy into various energy systems," Applied Energy, Elsevier, vol. 87(4), pages 1059-1082, April.
    3. Frick, Konor & Wendt, Daniel & Talbot, Paul & Rabiti, Cristian & Boardman, Richard, 2022. "Technoeconomic assessment of hydrogen cogeneration via high temperature steam electrolysis with a light-water reactor," Applied Energy, Elsevier, vol. 306(PB).
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    1. Guo, Jiacheng & Wu, Di & Wang, Yuanyuan & Wang, Liming & Guo, Hanyuan, 2023. "Co-optimization method research and comprehensive benefits analysis of regional integrated energy system," Applied Energy, Elsevier, vol. 340(C).

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