Paper Conference

Proceedings of BSO Conference 2016: Third Conference of IBPSA-England

     

Simulation-Based Optimization On Window Properties Based On Existing Products

Julian Wang, Luisa Caldas, Lei Huo, Yehao Song

Abstract: Before selecting new windows for a building, consideration of what types of windows will work optimally to improve building energy efficiency is paramount. In this decision process, three key factors are fundamental to assess windows performance: Visual Transmittance (VT), Solar Heat Gain Coefficient (SHGC), and U-factor. However, using low SHGC windows may decrease the building cooling loads, but has the potential to increase both heating and light loads due to the coatings, tints, and films applied to achieve the low SHGC. This paper introduces a genetic algorithm optimization approach to the selection of these three important window properties for the goal of energy efficiency, based upon the glazing product database of the National Fenestration Rating Council (NFRC). End energy use and savings associated with the optimized window properties are compared with baseline models. The findings of this research will benefit designers, contractors, suppliers, property owners and researchers to identify optimum window properties from databases of existing window products, which would help to further improve building energy efficiency.
Pages: 600 - 607
Paper:
bso2016_1054