Development of a dynamic control strategy for automated window shades

Commercial and multi-unit residential buildings located in cities with high sun exposure often experience challenges regulating indoor temperature due to the uneven distribution of solar radiation and localized overheating. For buildings located in cold climate zones, localized overheating – and in turn, localized indoor cooling – during the winter heating season is often overshadowed by the need to meet the building’s heating demand. This study proposes the use of smart shading systems to regulate the amount and duration of sun exposure within an indoor space. A dynamic control strategy will be developed to reduce both whole-building and localized cooling demand during the day and regulate indoor thermal conditions overnight. In partnership with AI Shading, results from this study will directly impact the technological development of the next phase of the AI Shading technology to improve its applicability for implementation in commercial buildings within Canada.

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: