共 48 条
Investigation of the thermal exchange mechanism of PCM melting process in an LHTES with elliptic tube configurations inside a cylindrical shell
被引:13
|作者:
Chandran, K. Nandakumar
[1
]
Jeong, Yu Sin
[1
]
Kim, Hui Geun
[1
]
Min, June Kee
[1
]
Ha, Man Yeong
[1
]
机构:
[1] Pusan Natl Univ, Sch Mech Engn, 2 Busandaehak Ro 63 Beon Gil, Busan 46241, South Korea
关键词:
Phase change material;
Latent heat thermal energy storage system;
Melting time;
Heat transfer mechanism;
Elliptical tube heat source;
Enthalpy-porosity model;
Spatial orientation of heat source;
PHASE-CHANGE MATERIALS;
HEAT-TRANSFER CHARACTERISTICS;
LATTICE BOLTZMANN SIMULATION;
ENERGY STORAGE;
PERFORMANCE ENHANCEMENT;
NATURAL-CONVECTION;
INCLINATION ANGLE;
METAL FOAM;
UNIT;
OPTIMIZATION;
D O I:
10.1016/j.est.2023.109838
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
This study presents a comprehensive 2D numerical investigation into the heat transfer mechanisms and melting time estimation for a phase change material melting process in latent heat thermal energy storage systems. The energy storage system of interest employs an elliptic tube configuration within a cylindrical shell. This study primarily aims to decipher the impact of spatial arrangement and its geometrical intricacies on melting time and the associated heat transfer mechanisms. First, this study examines the transition in the dominant heat transfer mechanisms, from conduction to natural convection, throughout the progression of the melting process. The examination is facilitated using the enthalpy porosity method, which can articulate an additional momentum term by leveraging the porosity at the melting interface and the local liquid fraction. Conduction dominance characterizes the early stages of the melting process; however, a transition toward a complex interplay of natural convection and conduction is observed as the process evolves. When the distance between the heat source and the outer covering is changed from a measure of 0.95 to 0.7, the time it takes for phase change material to melt increases by 73.2%. Additionally, when the shape of a certain heat transfer fluid carrier cylinder and the space between them in angles (from 1/8 to 8 and from 30 degrees to 150 degrees) are adjusted, the melting time changes by 31.1% and 38.9% respectively. In addition to the numerical analysis, this study introduces an innovative predictive model based on artificial neural networks to forecast the melting time of the phase change material in the energy storage system. This predictive model is trained and validated using the data derived from the numerical study and shows good accuracy in predicting the melting time, which is a critical factor for the efficiency and performance of systems.
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页数:20
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