Highly solar modulated and robust PNIPAM/HEMC smart windows

Shuming LIU, Kai YAO, Jiakui XU, Zhenhui HU, Xianglong ZENG, Longhao XIAO, Zheng FANG, Yuwei HU, Xi CHEN, Yongsheng YANG*, Wenxin LI, Yujie KE*

*Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

Abstract

Energy-efficient windows are considered as one of the most promising energy saving strategies for buildings. An ideal thermochromic smart window should possess high stability, high transmittance and outstanding mechanical properties. However, existing smart window technologies could not meet these requirements simultaneously. Herein, composite hydrogels containing hydroxyethyl methyl cellulose and thermoresponsive poly(N-isopropylacrylamide) were synthesized and applied to smart windows. These hydrogels exhibited excellent solar modulation (ΔTsol = 74.97%), luminous transmittance (Tlum = 84.98%), and mechanical properties with a reversible compression ratio of up to 74%. Besides, they offered faster response time and superior thermal stability compared to traditional hydrogels. It was demonstrated that the composite hydrogels retained exemplary optical properties after 80 heating–cooling cycles, and PNIPAM/HEMC smart windows showed superior indoor temperature control capability. Compared with normal glass, a typical office building with the produced sample was calculated to show annual energy reductions of 19.2, 28.2, 74.8, and 49.7 kW h m−2 in Beijing, Hong Kong, Bangkok, and Kuala Lumpur, respectively. This study demonstrated a reliable strategy for PNIPAM windows that is promising to save building energy.
Original languageEnglish
Pages (from-to)5248-5258
Number of pages11
JournalJournal of Materials Chemistry C
Volume13
Issue number10
DOIs
Publication statusPublished - 28 Jan 2025

Bibliographical note

Publisher Copyright:
© 2025 The Royal Society of Chemistry.

Funding

Yongsheng Yang wishes to thank for funding support from Wuhan Textile University Fund B (K24008, K24061, and K24062). Wenxin Li acknowledges the support from the National Natural Science Foundation of China (No. 52408103). Yujie Ke acknowledges the start-up funding support from Lingnan University, Hong Kong.

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