Dynamic Modelling and Control Strategy of a Temperature-Driven Metal Hydride Cooling System for Buildings: Article No. 115381

Saket Verma, Ravi Kishore, Kuldeep Kumar, Pratheek Mitra

Research output: Contribution to journalArticlepeer-review

Abstract

A temperature-driven coupled metal hydride (MH) based thermal energy storage (TES) system can allow to shave and shift the peak energy demand in buildings. The high energy density and long-term (seasonal) energy storage capability are its major advantages over other energy storage methods. The dynamic nature of the MH operation, however, requires controlled hydrogen transfer between the coupled MHs at a rate needed to meet the building's transient load. While temperature-driven MH systems are studied in the literature, their application in buildings and control are scarcely reported. This paper presents a control-based dynamic modeling of the temperature-driven coupled MH-TES system for building cooling applications. The dynamic model is developed in MATLAB(R) Simulink environment, considering the thermodynamic and kinetic behaviors of the MH systems. Based on a preliminary analysis of a property database of over 337 hydrides, we select around 1600 MH pairs suitable for building cooling applications. Each of these MH pairs is studied for their performance using the dynamic model, and among all, Zr0.76Ti0.24Ni1.16Mn0.63V0.14Fe0.18-Ti0.85Zr0.15Cr1.2Mn0.8 MH pair showed fast dynamics along with high coefficient of performance (COP) of 0.71. A parametric investigation is performed on this MH pair to understand the effect of operating temperatures. Finally, three proportional-integral (PI) feedback controllers are investigated to regulate the temperature, pressure and mass exchange between the coupled MH pairs. The developed PI controller is sufficiently capable of rejecting the signal noise from the hydrogen flow and internal heat exchange processes with root mean square error of 5.78 W between reference and actual cooling load.
Original languageAmerican English
Number of pages21
JournalEnergy and Buildings
Volume331
DOIs
StatePublished - 2025

NREL Publication Number

  • NREL/JA-5500-89749

Keywords

  • building cooling
  • control systems
  • dynamic model
  • hydrogen storage
  • metal hydride
  • thermal energy storage

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