Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements

Optimization of building window system in Asian regions by analyzing solar heat gain and... This paper presents and optimizes the annual heating, cooling and lighting energy consumption associated with applying different types and properties of window systems in a building envelope. Through using building simulation modeling, various window properties such as U-value, solar heat gain coefficient (SHGC), and visible transmittance (Tvis) are evaluated with different window wall ratios (WWRs) and orientations in five typical Asian climates: Manila, Taipei, Shanghai, Seoul and Sapporo. By means of a regression analysis, simple charts for the relationship between window properties and building energy performance are presented as a function of U-value, SHGC, Tvis, WWR, solar aperture, effective aperture, and orientation. As a design guideline in selecting energy saving windows, an optimized window system for each climate is plotted in detailed charts and tables. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Renewable Energy Elsevier

Optimization of building window system in Asian regions by analyzing solar heat gain and daylighting elements

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Publisher
Elsevier
Copyright
Copyright © 2012 Elsevier Ltd
ISSN
0960-1481
eISSN
1879-0682
DOI
10.1016/j.renene.2012.07.029
Publisher site
See Article on Publisher Site

Abstract

This paper presents and optimizes the annual heating, cooling and lighting energy consumption associated with applying different types and properties of window systems in a building envelope. Through using building simulation modeling, various window properties such as U-value, solar heat gain coefficient (SHGC), and visible transmittance (Tvis) are evaluated with different window wall ratios (WWRs) and orientations in five typical Asian climates: Manila, Taipei, Shanghai, Seoul and Sapporo. By means of a regression analysis, simple charts for the relationship between window properties and building energy performance are presented as a function of U-value, SHGC, Tvis, WWR, solar aperture, effective aperture, and orientation. As a design guideline in selecting energy saving windows, an optimized window system for each climate is plotted in detailed charts and tables.

Journal

Renewable EnergyElsevier

Published: Feb 1, 2013

References

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