Paper Conference

Proceedings of eSim 2022: 12th Conference of IBPSA-Canada


Analysis of saving potential of occupancy detection for commercial building operations - case study

Sara Azimi, William O’Brien
Carleton university, Canada

Abstract: Previously, a framework was developed to select the most appropriate sensors for a given set of commercial building applications. The objective of this paper is to test this framework in a case study and to demonstrate the potential benefits of occupancy detection through cost analysis. For the selected office building, the framework is used to identify appropriate sensor technologies based on, space utilization, demand control ventilation, occupancy-based lighting, and plug load control applications. Next, overall building performance and management are simulated with different occupancy scenarios using MATLAB and EnergyPlus to identify any energy or cost-saving opportunities. This study showcases a methodology for quantifying the potential energy, cost, and GHG emission savings of occupancy sensor utilization, while also providing a case study that demonstrates the framework’s benefit.
Keywords: Occupancy detection, commercial building, building operation application, occupancy sensor