Paper Conference

Proceedings of eSim 2018: 10th Conference of IBPSA-Canada


Impact of Stochastic Occupant Profiles on Commercial Energy Use in Toronto

Juan Sebastián Carrizo, Jennifer Harmer

Abstract: Occupants are important drivers of building energy consumption. Typical energy modelling practice is to use static occupant profiles that are deterministic in nature, applied uniformly to all rooms in a building. A novel approach to simulating dynamic occupant movement within a building is to apply unique stochastic occupancy profiles to each room in a building. These profiles consider the movement of occupants among different building spaces (e.g. offices, meeting rooms, auxiliary spaces), and can assign different movement characteristics to different occupant categories (e.g. regular workers vs. managers). This paper evaluates the impact of these stochastic occupancy schedules on the total simulated energy usage of a typical commercial office building in Toronto, Ontario. A case study that explores three occupancy simulation variations through whole building energy simulation is presented (1) applying a static occupancy profile on the whole building, (2) using stochastic occupancy schedules unique to each room, and (3) applying a single occupancy schedule for the whole building based on averaged stochastic occupant movements. The impact on building energy use, cost, and greenhouse gas emissions is discussed.
Keywords: occupancy profiles, stochastic schedules, energy modelling, building performance, commercial buildings, Toronto
Pages: 413 - 422