Effect of steady-state and unstable-state inlet boundary on the thermal performance of packed-bed latent heat storage system integrated with concentrating solar collectors

2021 ◽  
Author(s):  
Wei Wang ◽  
Yong Shuai ◽  
Jun Qiu ◽  
Xibo He ◽  
Yicheng Hou
Keyword(s):  
Steady State ◽  
Latent Heat ◽  
Thermal Performance ◽  
Heat Storage ◽  
Storage System ◽  
Packed Bed ◽  
Unstable State ◽  
Solar Collectors ◽  
Latent Heat Storage

Hybrid thermal performance enhancement of a circular latent heat storage system by utilizing partially filled copper foam and Cu/GO nano-additives

Energy ◽  
2020 ◽  
Vol 213 ◽  
pp. 118761
Author(s):  
Seyed Mohsen Hashem Zadeh ◽  
S.A.M. Mehryan ◽  
Mohammad Ghalambaz ◽  
Maryam Ghodrat ◽  
John Young ◽  
...  
Keyword(s):  
Latent Heat ◽  
Thermal Performance ◽  
Heat Storage ◽  
Performance Enhancement ◽  
Storage System ◽  
Latent Heat Storage ◽  
Copper Foam ◽  
Nano Additives

scholarly journals Thermal Stratification Performance of a Packed Bed Latent Heat Storage System during Charging

2018 ◽  
Vol 64 ◽  
pp. 03001
Author(s):  
Mawire Ashmore ◽  
Lentswe Katlego ◽  
Lugolole Robert ◽  
Okello Denis ◽  
Nyeinga Karidewa
Keyword(s):  
Latent Heat ◽  
Flow Rate ◽  
Thermal Stratification ◽  
Heat Storage ◽  
Storage System ◽  
Packed Bed ◽  
Heat Transfer Fluid ◽  
Latent Heat Storage ◽  
Flow Rates ◽  
Peak Value

Experimental thermal stratification evaluation of a packed bed latent heat storage is done during charging cycles. The packed bed latent heat storage system consists of adipic acid encapsulated in aluminum spheres. Sunflower oil is used as the heat transfer fluid during charging cycles. Stratification number profiles are used to evaluate thermal stratification in the storage system. Charging experiments are carried out with three different flow-rates (4 ml/s, 8 ml/s and 12 ml/s). Charging experiments are also done using the same flow-rate (8 ml/s) with three different set heater temperatures (220 °C, 240 °C and 260 °C). The lowest charging flow-rate (4 ml/s) shows the best variation of the stratification number profile since it shows the least drop from the peak value and the shortest charging interval. Different set heater temperatures show almost identical stratification number profiles. The effect of the charging flow-rate is more significant than the effect of the charging set heater temperature when evaluating thermal stratification for this particular system.

Sign in / Sign up

Export Citation Format

Share Document