A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Modelling of Thermostat Use Behaviour in Residential Buildings with Decentralized Heating Systems
Occupant behaviour, notably occupant’s thermostat adjustment behaviour, has been identified as a significant factor influencing building energy consumption and thermal loads in residential sectors. Effectively managing and optimizing building energy use requires a comprehensive understanding and accurate prediction of such behaviour . While several studies have investigated modelling thermostat adjustment behaviour in residential buildings, the intricate dynamics of this interaction, particularly within the context of multi-zone houses where users can designate specific setpoints for each distinct zone, have not been extensively explored. This study addresses this gap by investigating user behaviour across various zones within residential buildings, including living room, kitchen, bedroom, and bathroom. We leveraged thermostat data (indoor temperature, setpoint, etc.) from 30 houses in Quebec to examine the variation in user preference for thermal comfort across different zones. Finally, statistical models for user’s thermostat adjustment for each zone are developed using Generalized Linear Mixed-effects Models (GLMM). The derived mixed-effects models are particularly advantageous as they allow for creating models that can effectively represent a broad spectrum of occupant behaviours, including those significantly deviating from the average behaviour. This research establishes a foundational framework for more accurately predicting energy demand in residential houses with decentralized heating systems by incorporating the diverse nature of household behaviour into the developed GLMM-based thermostat behaviour models. This approach is particularly relevant for building energy simulations in regions with similar heating systems.
Modelling of Thermostat Use Behaviour in Residential Buildings with Decentralized Heating Systems
Occupant behaviour, notably occupant’s thermostat adjustment behaviour, has been identified as a significant factor influencing building energy consumption and thermal loads in residential sectors. Effectively managing and optimizing building energy use requires a comprehensive understanding and accurate prediction of such behaviour . While several studies have investigated modelling thermostat adjustment behaviour in residential buildings, the intricate dynamics of this interaction, particularly within the context of multi-zone houses where users can designate specific setpoints for each distinct zone, have not been extensively explored. This study addresses this gap by investigating user behaviour across various zones within residential buildings, including living room, kitchen, bedroom, and bathroom. We leveraged thermostat data (indoor temperature, setpoint, etc.) from 30 houses in Quebec to examine the variation in user preference for thermal comfort across different zones. Finally, statistical models for user’s thermostat adjustment for each zone are developed using Generalized Linear Mixed-effects Models (GLMM). The derived mixed-effects models are particularly advantageous as they allow for creating models that can effectively represent a broad spectrum of occupant behaviours, including those significantly deviating from the average behaviour. This research establishes a foundational framework for more accurately predicting energy demand in residential houses with decentralized heating systems by incorporating the diverse nature of household behaviour into the developed GLMM-based thermostat behaviour models. This approach is particularly relevant for building energy simulations in regions with similar heating systems.
Modelling of Thermostat Use Behaviour in Residential Buildings with Decentralized Heating Systems
Lecture Notes in Civil Engineering
Berardi, Umberto (editor) / Zadeh, Z. Khorasani (author) / Ouf, M. (author) / Gunay, B. (author) / Delcroix, B. (author) / Martin, G. Larochelle (author) / Daoud, A. (author)
International Association of Building Physics ; 2024 ; Toronto, ON, Canada
2024-12-23
6 pages
Article/Chapter (Book)
Electronic Resource
English
Thermostat strategies impact on energy consumption in residential buildings
| Online Contents | 2011