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Title: Parametric Energy Simulation Methods for Solar-NIR Selective Glazing Systems
Abstract Solar near-infrared (NIR) selective glazing systems have been proposed by incorporating photothermal effects (PTE) of a nanoparticle film into building windows. From an energy efficiency perspective, the nanoscale PTE forms unique inward-flowing heat by heating up the window interior surface temperature under solar near-infrared, significantly improving the window thermal performance. Also, the PTE-driven solar heat gains are dynamic upon solar radiation and weather conditions. However, the PTE on annual building energy use has not been investigated thoroughly, due to the lack of an accurate and appropriate energy simulation method. In this study, we used the EnergyPlus energy management system to develop a parametric energy model and simulation approach in which a solar-temperature-dependent thermal model was embedded into the parametric energy simulation workflow. Applying this method, we examined the solar near-infrared-dependent PTE-induced thermal performances of glazing systems and their effects on annual heating energy use in representative cold climates (i.e., Zones 4, 5, and 6). The results show that the dynamic model considering the PTE demonstrated more heating energy savings, up to 11.64% in cold climates, as opposed to the baseline model that ignored the PTE. This work presents a method to model and simulate the dynamic thermal performance of windows with PTE.  more » « less
Award ID(s):
2001207
NSF-PAR ID:
10335122
Author(s) / Creator(s):
; ; ;
Date Published:
Journal Name:
Journal of Physics: Conference Series
Volume:
2069
Issue:
1
ISSN:
1742-6588
Page Range / eLocation ID:
012129
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
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