Improved indoor environment through optimised ventilator and furniture positioning:A case of slum rehabilitation housing,Mumbai,India
作者机构:Centre for Urban Science and EngineeringIndian Institute of Technology BombayMumbai 400076India The Martin Centre for Architectural and Urban StudiesDepartment of ArchitectureUniversity of CambridgeCambridgeCB21PXUnited Kingdom
出 版 物:《Frontiers of Architectural Research》 (建筑学研究前沿(英文版))
年 卷 期:2020年第9卷第2期
页 面:350-369页
核心收录:
学科分类:08[工学] 081404[工学-供热、供燃气、通风及空调工程] 0814[工学-土木工程]
基 金:Part of this study is funded by the Ministry of Human Resource Development(MHRD) the Government of India(GoI)project titled CoE-FAST,Grant No.14MHRD005 and IRCC-IIT Bombay Fund,Grant No.16IRCC561015.Any opinions,findings,and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the MHRD,GoI and/or IRCC-IIT Bombay
主 题:Ventilator Furniture layout Low-income tenement Indoor environmental quality(IEQ) Computational fluid dynamics(CFD) Multiobjective multicriteria decision making(MCDM)optimization
摘 要:This study optimized the ventilator and furniture location of a tenement unit in a low-income urban habitat to obtain maximum experiential indoor environmental quality(e-IEQ)over the breathing *** interior layouts using a combination of the two design parameters of ventilator location and bed position were generated for optimizing the design *** layout could promote maximum indoor airflow and minimum indoor air temperature and contaminant *** this study,an improved indoor environment is hypothesized to be attainable through improved natural ventilation and thermal performance in the occupied zones.A sequential methodology involving“parametric design modeling ecomputational simulationemultiobjective optimizationemulticriteria decision making-based framework was *** exhibited that the currently designed tenement unit had a poor indoor environment,whereas the hypothesized iterated layout“optimized design layout,scenario 3(ODL 3)derived from the optimization and decision-making algorithm performed effectively in providing *** increase in experiential indoor air velocity by 0.2 m/s and a decrease in temperature by 2C were observed over the monitoring point in the ODL 3 considering the existing ***,this study can find a way toward the development of sustainable habitat design guidelines under upcoming slum redevelopment policies across the nation.