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Improved indoor environment through optimised ventilator and furniture positioning: A case of slum rehabilitation housing, Mumbai, India

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This study optimises the ventilator and furniture location of a tenement unit in a low-income urban habitat to obtain maximum experiential indoor environmental quality over the breathing zone. Hypothetical interior layouts using a combination of the two design parameters of ventilator location and bed position were generated for optimising the design layout that could promote maximum indoor airflow and minimum indoor air temperature and contaminant concentration. Here, we hypothesise that improved indoor environment is attainable through better natural ventilation and thermal performance in the occupied zones. A sequential methodology involving "parametric design modelling- computational simulations- multi-objective optimisation- multi-criteria decision making" based framework was selected. Results exhibit that the currently designed tenement unit had poor indoor environment, while hypothesised iterated layout ‘Optimised Design Layout, Scenario 3', derived from optimisation and decision making algorithm performed better in providing experiential indoor environmental quality. An increase in experiential indoor air velocity by 0.2m/sec and decrease in temperature by 2 degree Celsius was observed over the monitoring point in the optimised design layout, scenario 3 with respect to the existing scenario. This study, therefore, can find a way towards the development of sustainable habitat design guidelines under upcoming slum redevelopment policies across the nation.



Ventilator, Furniture layout, Low-income tenement, Indoor environmental quality (IEQ), Computational fluid dynamics (CFD), Multiobjective multicriteria decision making (MCDM) optimization

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Frontiers of Architectural Research

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Elsevier BV


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