Tian Shen, Shao Shuangquan, Zhang Kunzhu, et al. Study on Infiltration Through Doorway of Cold Store based on Unsteady RANS Model[J]. Journal of refrigeration, 2017, 38(3).
DOI:
Tian Shen, Shao Shuangquan, Zhang Kunzhu, et al. Study on Infiltration Through Doorway of Cold Store based on Unsteady RANS Model[J]. Journal of refrigeration, 2017, 38(3). DOI: 10.3969/j.issn.0253-4339.2017.03.063.
Study on Infiltration Through Doorway of Cold Store based on Unsteady RANS Model
Because the total gross of cold stores is increasing
the energy consumption of cold stores is attracting increasing attention. Infiltration through the doorway
which accounts for a large part of the total heat load
has become an important research focus with regard to the energy consumption of the cold store. In this paper
by using an unsteady RANS model
a transient infiltration simulation model is established. By utilizing a cold store with height ratio between the cold store and the door 2:1
experimentally measured data under conditions with different temperature differences and operation modes of the cooling fans are used to validate the model. The results show that the predicted value and change trends of the infiltration air volume
local wind speed
and temperature of the established model agree well with the experimental data. The predicted error for the infiltration air volume before 40 s of door-open time is ±10%. By using this model
the characteristics and mechanism of the infiltration are analyzed. The results show that
owing to the effect of the airflow made by cooling fans
the temperature in the cold store when the fans are on is lower than that when the fans are off. There is little density difference between the warm air and the cold air. The gravity imposed on the cold air has little variation. Thus
the infiltration air volume changes linearly with the door-open time.