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Dynamical System Scaling of a Thermocline Thermal Storage System in the Thermal Energy Distribution System (TEDS) Facility

Author

Listed:
  • Ramon Yoshiura

    (Idaho National Laboratory (INL), 2525 N. Fremont Ave., Idaho Falls, ID 83415, USA
    These authors contributed equally to this work.)

  • Alexander Duenas

    (Idaho National Laboratory (INL), 2525 N. Fremont Ave., Idaho Falls, ID 83415, USA
    These authors contributed equally to this work.)

  • Aaron Epiney

    (Idaho National Laboratory (INL), 2525 N. Fremont Ave., Idaho Falls, ID 83415, USA)

Abstract

The purpose of this study was to develop a process to convert input signals from one facility into another by reflecting geometric and environmental settings. The Dynamic Energy Transport and Integration Laboratory (DETAIL) is one facility in development that aims to emulate the daily interactions among power production industry systems and be capable of receiving real-time data from those systems as inputs. To convert signals and ensure that the temporal sequences and magnitudes reflect the laboratory settings, the ability to scale and project data is essential. To demonstrate this ability, Dynamical System Scaling (a methodology that enables systems to scale and project or extrapolate datasets to desired environments while conserving the observed transient behavior based on first principles) was applied to DETAIL’s thermocline thermal storage system in the Thermal Energy Distribution System. The thermocline system was successfully scaled and a test case was conducted to generate a doubly accelerated energy charge and discharge in reference to past experimental data from the facility. The accelerated data were determined as able to conserve the amount of energy stored and the associated test boundary conditions were charge line maximum temperature, charge line velocity, and thermocline maximum temperature at 354 °C, 0.458 m/s, and 418 °C, respectively. The research results represented a case that required signals to be accelerated without altering the stored energy.

Suggested Citation

  • Ramon Yoshiura & Alexander Duenas & Aaron Epiney, 2022. "Dynamical System Scaling of a Thermocline Thermal Storage System in the Thermal Energy Distribution System (TEDS) Facility," Energies, MDPI, vol. 15(12), pages 1-27, June.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:12:p:4265-:d:835726
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    References listed on IDEAS

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    1. Konor Frick & Shannon Bragg-Sitton & Cristian Rabiti, 2020. "Modeling the Idaho National Laboratory Thermal-Energy Distribution System (TEDS) in the Modelica Ecosystem," Energies, MDPI, vol. 13(23), pages 1-25, December.
    2. Al-Ghussain, Loiy & Abubaker, Ahmad M. & Darwish Ahmad, Adnan, 2021. "Superposition of Renewable-Energy Supply from Multiple Sites Maximizes Demand-Matching: Towards 100% Renewable Grids in 2050," Applied Energy, Elsevier, vol. 284(C).
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