ABSTRACT
With an ever-increasing population, there is a sharp increase in the demand for residential areas. This has resulted in high-rise residential towers with building façades having balconies that not only serve utilitarian and aesthetic purposes but also provide air circulation and ventilation. Hence balconies become an important passive component to control the heat gain by the building. This paper investigates the effect of the geometry of the balcony and the material used for construction on the heat gain by the internal space, optimizing the cooling load. This study gauges the effect of various designs of building façades in terms of balcony geometry and material using Energy Plus and MATLAB-based neural network modeling. We use a surrogate model to predict simulation results and run various material properties to find the optimum material properties and the geometry of the balcony. We assume the balcony area to be fixed and find an optimum design using surrogate modeling. The results of this research can significantly reduce the energy consumption of high-rise buildings by keeping them cool.
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Index Terms
- Optimization of building façade for passive thermal management: a machine learning based simulation study for Kolkata, India
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