TY - JOUR
T1 - Study of infiltration through sliding windows with respect to closing mechanisms and their locations in a building during winter season
AU - Park, Jong Jun
AU - Kim, Young Il
N1 - Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2019/7/3
Y1 - 2019/7/3
N2 - Infiltration through windows accounts for a significant heat loss in buildings during winter, leading to the need to minimize uncontrolled air flow. Improvement of window air tightness is important for reducing heat loss by infiltration through windows. In this study, infiltration is measured for general sliding (GS), parallel sliding tilt (PST) and lift sliding (LS) windows according to ASTM E283, a standard for window infiltration measurement. Measured window infiltration data, pressure coefficients calculated with STAR-CCM+ and outdoor weather data of Seoul are used in CONTAM, a network based ventilation simulation program to estimate infiltration during winter season for three sliding window types and their locations in a building. The results show that infiltration is highest for east located general sliding type window, and lowest for west located parallel sliding tilt window. Monthly analysis shows that for an east located window, infiltration is highest during January and lowest during December.
AB - Infiltration through windows accounts for a significant heat loss in buildings during winter, leading to the need to minimize uncontrolled air flow. Improvement of window air tightness is important for reducing heat loss by infiltration through windows. In this study, infiltration is measured for general sliding (GS), parallel sliding tilt (PST) and lift sliding (LS) windows according to ASTM E283, a standard for window infiltration measurement. Measured window infiltration data, pressure coefficients calculated with STAR-CCM+ and outdoor weather data of Seoul are used in CONTAM, a network based ventilation simulation program to estimate infiltration during winter season for three sliding window types and their locations in a building. The results show that infiltration is highest for east located general sliding type window, and lowest for west located parallel sliding tilt window. Monthly analysis shows that for an east located window, infiltration is highest during January and lowest during December.
KW - air tightness
KW - computational fluid dynamics
KW - heating
KW - infiltration
KW - network ventilation simulation
KW - Window
UR - https://www.scopus.com/pages/publications/85046011732
U2 - 10.1080/14733315.2018.1462980
DO - 10.1080/14733315.2018.1462980
M3 - Article
AN - SCOPUS:85046011732
SN - 1473-3315
VL - 18
SP - 220
EP - 232
JO - International Journal of Ventilation
JF - International Journal of Ventilation
IS - 3
ER -