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Applying energy conservation methods plays an important role in making existing buildings more energy efficient. However, energy conservation methods are usually in contradiction with the occupants’ satisfaction. In other words, more conservative energy strategies result in less occupants’ satisfaction. Also, when it comes to shared spaces occupied by people with different preferences, finding a trade-off between the minimum energy consumption and a maximum number of satisfied occupants is a challenging issue. As a result, this study aims to develop more realistic building energy model using an integration of simulation with optimization techniques. To this end, proper sensing techniques will be applied to distinguish between occupants in shared spaces. Local control of HVAC and lighting systems based on the occupancy usage patterns are then applicable. TO BE CONT’D
Amin Hammad
Harvard University
Engineering
Education
Concordia University
Globalink Research Award
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