Publication
Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models
Abstract
Sustainability through Optimal Design of Buildings for Natural Ventilation using Updated Comfort and Occupancy Models
Jihoon Chung, Nastaran Shahmansouri, Rhys Goldstein, James Stoddart, John Locke
This research explores the benefits of incorporating natural ventilation (NV) simulation into a generative process of designing residential buildings to improve energy efficiency and indoor thermal comfort. Our proposed workflow uses the Wave Function Collapse algorithm to generate a diverse set of plausible floor plans. It also includes post-COVID occupant presence models while incorporating adaptive comfort models. We conduct four sets of experiments using the workflow, and the simulated results suggest that multi-mode cooling strategies combining conventional air conditioning with NV can often significantly reduce energy use while introducing only slight reductions in thermal comfort.
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