| Issue |
E3S Web Conf.
Volume 716, 2026
The 12th International Conference on Indoor Air Quality, Ventilation & Energy Conservation in Buildings (IAQVEC 2026)
|
|
|---|---|---|
| Article Number | 04037 | |
| Number of page(s) | 7 | |
| Section | Energy Efficiency, Conservation, Renewable Energy, and Embodied Carbon | |
| DOI | https://doi.org/10.1051/e3sconf/202671604037 | |
| Published online | 09 June 2026 | |
Spectral-selective Glazing Strategies for Energy-Efficient and Adaptive Building Envelopes
Department of Architectural Engineering, Pennsylvania State University, University Park, PA, USA
Abstract
Windows account for 30—10°% of heat exchange across building envelopes and contribute up to 25-30% of total HVAC energy use. Conventional coatings offer limited adaptability to seasonal variations. This study investigates scattering-based spectral-selective glazing strategies within the solar spectrum, with an emphasis on the optical mechanisms governing visible transparency and near-infrared (NIR) heat-gain suppression. A mechanism-driven modeling framework is developed using Mie scattering analysis to examine how particle size, refractive-index contrast, and core-shell configurations affect wavelength-dependent scattering and extinction behaviour. These scattering-based pathways are positioned relative to absorptiondominated thermochromic approaches for dynamic NIR modulation. The results highlight physical trade-offs: while larger dielectric particles enhance NIR shielding, they introduce significant visible haze. Core-shell architectures are shown to partially decouple these effects by engineering effective refractive-index contrast. The findings establish a theoretical foundation for bridging nanoparticle optics with building-scale performance evaluation, identifying design boundaries for future climate-adaptive glazing systems.
Key words: Climate-adaptive envelopes / Spectrally selective / Smart window / Building energy efficiency
© The Authors, published by EDP Sciences, 2026
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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