Paper Conference

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


Developing occupant-informed household archetypes in Canada

Mohamed Osman 1, Mostafa Saad 2, Mohamed Ouf 1, Ursula Eicker 2
1 Intelligent buildings and cities lab (IBCL), Concordia University, Montreal
2 Canada Excellence Research Chair (CERC) in Smart, Sustainable and Resilient Cities and Communities, Concordia University, Montreal

Abstract: This paper aims to propose a novel methodology to enrich the available Canadian residential archetypes with stochastic household profiles derived from statistical databases. This paper uses Canadian time use survey (TUS) data for developing a stochastic activity-based model to generate energy demand profiles of different households' compositions. The proposed activity model is integrated with a building energy model to estimate household energy consumption, including space heating, appliances load, water heating, and lighting load. The results showed that the occupant characteristics have a significant impact on occupancy hours with a difference of up to 19% between single working and couple retired households. Moreover, for the influence of energy behaviour, the results showed an 18% difference between energy spender and saver households. The resultant workflow provides a probabilistic building performance distribution for residential buildings that is beneficial for future investigations, such as applicable ECMs, building retrofits, and provide policy-making practices.
Keywords: Occupant behavior, Residential buildings, Time use survey, Canadian Archetypes