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Cited by 1,027

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Infrared Regulating Smart Window Based on Organic Materials

Open access
Khandelwal, Hitesh, Schenning, Albertus P. H. J., Debije, Michael G.·2017·Advanced Energy Materials

Abstract

Windows are vital elements in the built environment that have a large impact on the energy consumption in indoor spaces, affecting heating and cooling and artificial lighting requirements. Moreover, they play an important role in sustaining human health and well‐being. In this review, we discuss the next generation of smart windows based on organic materials which can change their properties by reflecting or transmitting excess solar energy (infrared radiation) in such a way that comfortable indoor temperatures can be maintained throughout the year. Moreover, we place emphasis on windows that maintain transparency in the visible region so that additional energy is not required to retain natural illumination. We discuss a number of ways to fabricate windows which remain as permanent infrared control elements throughout the year as well as windows which can alter transmission properties in presence of external stimuli like electric fields, temperature and incident light intensity. We also show the potential impact of these windows on energy saving in different climate conditions.

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Metadata

Authors
Khandelwal, H., Schenning, A. P. H. J., & Debije, M. G.
Venue
Advanced Energy Materials
Publisher
Wiley
Published
2017-03-02
Volume
7
Issue
14
ISSN
  • 1614-6832 (ISSN-L)
  • 1614-6840
OpenAlex
W2592106758
Cited by
1,027
References
0
FWCI
69.47
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Infrared Regulating Smart Window Based on Organic Materials. https://app.cochat.ai/papers/10.1002/aenm.201602209
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Khandelwal, H., Schenning, A. P. H. J., & Debije, M. G. (2017). Infrared Regulating Smart Window Based on Organic Materials. Advanced Energy Materials. https://doi.org/10.1002/aenm.201602209

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.