Thermal comfort analysis of earth-sheltered buildings: The case of meymand village, Iran

作     者：Amirreza Khaksar Amir Tabadkani Seyed Majid Mofidi Shemirani Aso Hajirasouli Saeed Banihashemi Shady Attia Amirreza Khaksar;Amir Tabadkani;Seyed Majid Mofidi Shemirani;Aso Hajirasouli;Saeed Banihashemi;Shady Attia

作者机构：Department of ArchitectureFaculty of Art and ArchitectureIslamic Azad UniversityMashhadIran School of Architecture and Built EnvironmentDeakin UniversityGeelong Waterfront CampusAustralia Iran University of Science and TechnologySchool of Architecture and Urban PlanningTehranIran School of Architecture and Built EnvironmentQueensland University of TechnologyAustralia Design&Built Environment SchoolUniversity of CanberraAustralia Sustainable Building Design LabDept.UEEFaculty of Applied ScienceUniversity of LiegeLiegeBelgium 

出 版 物：《Frontiers of Architectural Research》 (建筑学研究前沿（英文版）)

年 卷 期：2022年第11卷第6期

页      面：1214-1238页

核心收录：

学科分类：081302[工学-建筑设计及其理论] 08[工学] 0813[工学-建筑学] 

主　　题：Earth-sheltered buildings Adaptive thermal comfort Building simulation Optimization Field measurement Architectural context 

摘      要：Vernacular buildings are known for their localized passive settings to provide comfortable indoor environment without air conditioning *** alternative is the consistent ground temperature over the year that earth-sheltered envelopes take the benefit;however,ensuring annual indoor comfort might be ***,this research monitors the indoor thermal indicators of 22 earth-sheltered buildings in Meymand,Iran with a warmdry ***,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 *** 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%.