Modeling of Water-PCM Solar Thermal Storage System for Domestic Hot Water Application using Artificial Neural Networks

Author(s):  
A.O. Eldokaishi ◽  
M.Y. Abdelsalam ◽  
M.M. Kamal ◽  
H.A. Abotaleb
Energies ◽  
2019 ◽  
Vol 12 (11) ◽  
pp. 2170 ◽  
Author(s):  
Ayman Bayomy ◽  
Stephen Davies ◽  
Ziad Saghir

Thermal energy storage (TES) is an essential part of a solar thermal/hot water system. It was shown that TES significantly enhances the efficiency and cost effectiveness of solar thermal systems by fulfilling the gap/mismatch between the solar radiation supply during the day and peak demand/load when sun is not available. In the present paper, a three-dimensional numerical model of a water-based thermal storage tank to provide domestic hot water demand is conducted. Phase change material (PCM) was used in the tank as a thermal storage medium and was connected to a photovoltaic thermal collector. The present paper shows the effectiveness of utilizing PCMs in a commercial 30-gallon domestic hot water tank used in buildings. The storage efficiency and the outlet water temperature were predicted to evaluate the storage system performance for different charging flow rates and different numbers of families demands. The results revealed that increases in the hot water supply coming from the solar collector caused increases in the outlet water temperature during the discharge period for one family demand. In such a case, it was observed that the storage efficiency was relatively low. Due to low demand (only one family), the PCMs were not completely crystallized at the end of the discharge period. The results showed that the increases in the family’s demand improve the thermal storage efficiency due to the increases in the portion of the energy that is recovered during the nighttime.


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