Numerical and Experimental Study of Solidification Behavior in Thermal Storage Systems

This dissertation investigates thermal energy storage systems for building applications through experimental validation, computational modeling, and geometric optimization of phase change material (PCM) systems. The study addresses limitations in empirical data, HVAC integration, and configuration design for building-integrated storage. A literature review of ice thermal energy storage methods, focusing on resistance networks, quasi-steady techniques, and enthalpy-based formulations, provides the foundation for PCM model development. A shell-and-tube system using PureTemp 8 and ethylene glycol was tested under controlled conditions, and results validated a quasi-steady analytical model with axial discretization as well as CFD simulations using the enthalpy-porosity method. The investigation extended to an air-PCM system employing PureTemp 20 in an inline tube bank downstream of a mini-split air conditioner, with CFD models incorporating SST k–ω turbulence modeling and validated against experimental and analytical benchmarks. Parametric analysis evaluated the influence of airflow rate and inlet temperature on solidification progression, heat transfer, energy storage capacity, and system performance. Geometric optimization compared rectangular and cylindrical encapsulations under constant PCM volume, using Fourier number and thermal-aerodynamic indices to assess design trade-offs. The results provide validated modeling approaches and experimental benchmarks for PCM systems under HVAC-relevant conditions, along with a framework for selecting and optimizing geometries based on application-specific requirements.

Publication Details

Journal
Scholarly Commons (Embry–Riddle Aeronautical University)
Published
2025-06-30
Primary Topic
Phase Change Materials Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical and Experimental Study of Solidification Behavior in Thermal Storage Systems

Scholarly Commons (Embry–Riddle Aeronautical University)
Phase Change Materials Research
article

Numerical and Experimental Study of Solidification Behavior in Thermal Storage Systems

article en

Abstract

This dissertation investigates thermal energy storage systems for building applications through experimental validation, computational modeling, and geometric optimization of phase change material (PCM) systems. The study addresses limitations in empirical data, HVAC integration, and configuration design for building-integrated storage. A literature review of ice thermal energy storage methods, focusing on resistance networks, quasi-steady techniques, and enthalpy-based formulations, provides the foundation for PCM model development. A shell-and-tube system using PureTemp 8 and ethylene glycol was tested under controlled conditions, and results validated a quasi-steady analytical model with axial discretization as well as CFD simulations using the enthalpy-porosity method. The investigation extended to an air-PCM system employing PureTemp 20 in an inline tube bank downstream of a mini-split air conditioner, with CFD models incorporating SST k–ω turbulence modeling and validated against experimental and analytical benchmarks. Parametric analysis evaluated the influence of airflow rate and inlet temperature on solidification progression, heat transfer, energy storage capacity, and system performance. Geometric optimization compared rectangular and cylindrical encapsulations under constant PCM volume, using Fourier number and thermal-aerodynamic indices to assess design trade-offs. The results provide validated modeling approaches and experimental benchmarks for PCM systems under HVAC-relevant conditions, along with a framework for selecting and optimizing geometries based on application-specific requirements.

Scholarly Commons (Embry–Riddle Aeronautical University)
Affordable and clean energy
Openalex Percentile: Top 52%
Phase Change Materials Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.