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Carlos Davila, Ph.D. |
Significant research effort is developing urban building energy modeling (UBEM) tools, which allow evaluating city-wide energy demand and supply strategies. In order to characterize simulation data inputs for buildings, these are typically grouped into representative “archetypes” which simplify models and impact accuracy. The work presented addresses the current state of the UBEM field and presents the application for the City of Boston of an automated simulation workflow based on available GIS datasets. Then, a probabilistic calibration model for archetypes is proposed and validated for yearly and monthly energy use in districts in Kuwait and Cambridge.