Experimental and Numerical Study of Smart Blinds for Building Applications

Windows account for about 30% of the total heat lost from buildings. Fenestration products like blinds and shades can increase the thermal resistance of windows, causing a reduction in the heat loss from windows. In this study, the performance of Smart Blind, an automated blind that adjusts its position to reduce the cooling/heating energy consumption in buildings, will be assessed using a. numerical scheme (CFD) and a real time field study involving prototypes of the product. Specific focus will be laid on the insulating capacity of the stationary air between the window and the blind. The energy savings due to the implementation of the blinds will be determined by comparing the heating/cooling energy consumption for different configurations of the blind.

Faculty Supervisor:

Lexuan Zhong

Student:

Partner:

AI Shading

Discipline:

Engineering

Sector:

Information and cultural industries; Manufacturing; Professional, scientific and technical services

University:

University of Alberta

Program: