TY - JOUR
T1 - Thermal comfort analysis of earth-sheltered buildings
T2 - The case of meymand village, Iran
AU - Khaksar, Amirreza
AU - Tabadkani, Amir
AU - Mofidi, Majid
AU - Hajirasouli, Aso
AU - Banihashemi, Saeed
AU - Attia, Shady
N1 - Publisher Copyright:
© 2022 Higher Education Press Limited Company
PY - 2022/12
Y1 - 2022/12
N2 - Vernacular buildings are known for their localized passive settings to provide comfortable indoor environment without air conditioning systems. One alternative is the consistent ground temperature over the year that earth-sheltered envelopes take the benefit; however, ensuring annual indoor comfort might be challenging. Thus, this research monitors the indoor thermal indicators of 22 earth-sheltered buildings in Meymand, Iran with a warm-dry climate. Furthermore, the observations are used to validate the simulation results through two outdoor and indoor environmental parameters, air temperature and relative humidity during the hottest period of the year. Findings indicated that the main thermal comfort differences among case studies were mainly due to their architectural layouts where the associated variables including length, width, height, orientation, window-to-wall ratio, and shading depth were optimized through a linkage between Ladybug-tools and Genetic Algorithm (GA) concerning adaptive thermal comfort model definition and could enhance the annual thermal comfort by 31%.
AB - Vernacular buildings are known for their localized passive settings to provide comfortable indoor environment without air conditioning systems. One alternative is the consistent ground temperature over the year that earth-sheltered envelopes take the benefit; however, ensuring annual indoor comfort might be challenging. Thus, this research monitors the indoor thermal indicators of 22 earth-sheltered buildings in Meymand, Iran with a warm-dry climate. Furthermore, the observations are used to validate the simulation results through two outdoor and indoor environmental parameters, air temperature and relative humidity during the hottest period of the year. Findings indicated that the main thermal comfort differences among case studies were mainly due to their architectural layouts where the associated variables including length, width, height, orientation, window-to-wall ratio, and shading depth were optimized through a linkage between Ladybug-tools and Genetic Algorithm (GA) concerning adaptive thermal comfort model definition and could enhance the annual thermal comfort by 31%.
KW - Energy Efficiency
KW - Thermal Comfort
KW - Green building development
KW - sustainable community development
KW - urban and regional studies
KW - Earth-sheltered buildings
KW - Field measurement
KW - Adaptive thermal comfort
KW - Building simulation
KW - Architectural context
KW - Optimization
UR - http://www.scopus.com/inward/record.url?scp=85130394650&partnerID=8YFLogxK
U2 - 10.1016/j.foar.2022.04.008
DO - 10.1016/j.foar.2022.04.008
M3 - Article
SN - 2095-2635
VL - 11
SP - 1214
EP - 1238
JO - Frontiers of Architectural Research
JF - Frontiers of Architectural Research
IS - 6
ER -