Postdoc research projects

Highlights:

• Data collected across Canada; Thermostat data obtained from 13,144 Canadian houses with 5 min resolution were used for the analysis.

• Heating and cooling set point temperature distribution were analysed for different provinces in Canada.

• Regression analysis is carried out to explore the influence of other factors (such as house style, age of the house, floor area) on heating and cooling set point distribution.

Highlights:

• A generic data driven procedure is proposed to extract temporal occupant schedules.

• Need for considering dynamic occupancy in energy simulations are emphasized.

• Alternate parameters that could effectively represent the occupancy are analyzed.

• Lighting, plug load data are recommended to represent occupant activity schedule.

• CO2, plug load data are recommended to represent occupant presence/absence state.

Highlights:

• A framework is developed to explicitly analyze the occupancy and energy consumption patterns in residential buildings.

• Different energy waste patterns associated with occupant behavior are found through the developed framework.

• The proposed framework can identify unusual energy patterns from energy wastes.

• The developed framework is generic, flexible and can be extended to a wide range of buildings.

Highlights:

• Systematic workflow to extract energy-related information from different buildings related datasets is developed.

• Different datasets are considered, processed, and information related to building energy simulation are extracted.

• Suggestions to improve the building and heating permit data collection at municipality level are made.

• Recommendations for effective housing retrofit and energy planning are made.