|  Lab: Energy, Innovation Incubator, Research Journals

This research article focuses on one of the potential gaps in energy simulations, static occupancy schedules. Static occupancy schedules bring uncertainties to energy models and impact the accuracy of energy modeling outputs. In order to generate reliable dynamic schedules, a new workflow is proposed that integrates measured occupancy behaviors and improved occupancy schedules. This workflow was tested through occupancy measurements,data processing, schedule customization, energy model integration, and eventually energy modeling of a case study building, a commercial office space. The results indicate that measured occupancy schedules result
in more accurate energy modeling results. The concluding remarks present multiple and flexible approaches to cope with the occupancy schedules and energy modeling requirements at different design stages.

This article originally appeared in Vol 10.01 of the Perkins+Will Research Journal. CLICK HERE to see the whole article.