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Engineering-Scale Integrated Energy System Data Projection Demonstration via the Dynamic Energy Transport and Integration Laboratory

Author

Listed:
  • Ramon Yoshiura

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

  • Sarah Creasman

    (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 objective of this study is to demonstrate and validate the Dynamic Energy Transport and Integration Laboratory (DETAIL) preliminary scaling analysis using Modelica language system-code Dymola. The DETAIL preliminary scaling analysis includes a multisystem integral scaling package between thermal-storage and hydrogen-electrolysis systems. To construct the system of scaled equations, dynamical system scaling (DSS) was applied to all governing laws and closure relations associated with the selected integral system. The existing Dymola thermal-energy distribution system (TEDS) facility and high-temperature steam electrolysis (HTSE) facility models in the Idaho National Laboratory HYBRID repository were used to simulate a test case and a corresponding scaled case for integrated system HYBRID demonstration and validation. The DSS projected data based on the test-case simulations and determined scaling ratios were generated and compared with scaled case simulations. The preliminary scaling analysis performance was evaluated, and scaling distortions were investigated based on data magnitude, sequence, and similarity. The results indicated a necessity to change the normalization method for thermal storage generating optimal operating conditions of 261 kW power and mass flow rate of 6.42 kg/s and the possibility of reselecting governing laws for hydrogen electrolysis to improve scaling predictive properties. To enhance system-scaling similarity for TEDS and HTSE, the requirement for scaling validation via physical-facility demonstration was identified.

Suggested Citation

  • Ramon Yoshiura & Sarah Creasman & Aaron Epiney, 2023. "Engineering-Scale Integrated Energy System Data Projection Demonstration via the Dynamic Energy Transport and Integration Laboratory," Energies, MDPI, vol. 16(16), pages 1-40, August.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:16:p:5878-:d:1213077
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    References listed on IDEAS

    as
    1. Xing, Xuetao & Lin, Jin & Song, Yonghua & Hu, Qiang & Zhou, You & Mu, Shujun, 2018. "Optimization of hydrogen yield of a high-temperature electrolysis system with coordinated temperature and feed factors at various loading conditions: A model-based study," Applied Energy, Elsevier, vol. 232(C), pages 368-385.
    2. 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.
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