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Baseline of Architectural Windows

Context

Baseline information of architectural windows and glazing is necessary for any energy modeling and simulation when it comes to design optimization and performance comparisons. Such information basically includes U-factor, SHGC, and visible transmittance, which are not independently determined because of the limits of the current windows and glazing materials and related technologies.

typical window radiative responses.png
Glass Panes
LSG distribution of current products_edited_edited.png
data modeling.png
Regression model

𝑺𝑯𝑮𝑪= 𝒇(𝑻𝒗,𝜺) = 𝟎.𝟎𝟖𝟓+𝟎.𝟎𝟖𝟓 𝑻𝒗 + 𝟏.𝟒𝟗𝟓∗𝜺 + 𝟎.𝟓𝟖𝟓∗𝑻𝒗^𝟐 − 𝟎.𝟎𝟏𝟔∗𝑻𝒗∗𝜺 − 𝟏.𝟕𝟒𝟗∗𝜺^𝟐 

(R-squared 0.81 and NRMSE 6%)

Intrinsic relationship between Tv and SHGC

Through randomly searching and downloading window products, we formed a large database that covers nearly 8,000 different manufacturer product lines and more than 550,000 National Fenestration Rating Council-certified fenestration products. 

Publications

Wang, J., Caldas, L., Chakraborty, D., & Huo, L. (2016, July). Selection of energy efficient windows for hot climates using genetic algorithms optimization. In Proceedings of PLEA 2016, International conference on passive and low energy architecture 2016: Cities, Buildings, People: Towards Regenerative Environments (pp. 11-13).

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Wang, J., Caldas, L., Huo, L., & Song, Y. (2016). Simulation-based optimization on window properties based on existing products. Proceedings of Building Simulation and Optimization, 12-14.

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Wang, J. J., & Shi, D. (2017). Spectral selective and photothermal nano structured thin films for energy efficient windows. Applied Energy, 208, 83-96.

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