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Multi-objective optimization of thermochromic glazing: Evaluating useful daylight illuminance, circadian stimulus, and energy performance with implications for sleep quality improvement.

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Title: Multi-objective optimization of thermochromic glazing: Evaluating useful daylight illuminance, circadian stimulus, and energy performance with implications for sleep quality improvement.
Authors: Fan, Lai1 (AUTHOR), Xie, Liang1,2 (AUTHOR) 211301008@csu.edu.cn, Zhong, Qikang2 (AUTHOR)
Source: Energy & Buildings. Apr2025, Vol. 333, pN.PAG-N.PAG. 1p.
Subjects: Grey Wolf Optimizer algorithm, Multi-objective optimization, Sleep quality, Energy consumption, Luminous flux
Abstract: This study explores the application of thermochromic (TC) glazing to improve energy efficiency, Useful Daylight Illuminance (UDI), and Circadian Stimulus (CS) in a typical slab-style elderly apartment in Changsha. A multi-objective optimization approach was utilized, integrating GA-BP neural networks for predictive modeling and the Multi-Objective Grey Wolf Optimizer (MOGWO) to evaluate and balance the impacts of different outcomes on the indoor environment. The results demonstrate that TC glazing reduces energy consumption by up to 40 % compared to conventional glazing while stabilizing indoor temperatures and enhancing daylighting conditions, with a 27 % increase in UDI and a 15 % improvement in CS alignment. These enhancements support circadian rhythm regulation and contribute to a more comfortable indoor environment, ultimately improving sleep quality. These findings underscore the effectiveness of TC glazing in retrofitting elderly apartments, offering significant energy savings and health-related benefits, providing a scalable framework for developing sustainable, health-supportive indoor environments applicable to similar climates and residential building types. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:This study explores the application of thermochromic (TC) glazing to improve energy efficiency, Useful Daylight Illuminance (UDI), and Circadian Stimulus (CS) in a typical slab-style elderly apartment in Changsha. A multi-objective optimization approach was utilized, integrating GA-BP neural networks for predictive modeling and the Multi-Objective Grey Wolf Optimizer (MOGWO) to evaluate and balance the impacts of different outcomes on the indoor environment. The results demonstrate that TC glazing reduces energy consumption by up to 40 % compared to conventional glazing while stabilizing indoor temperatures and enhancing daylighting conditions, with a 27 % increase in UDI and a 15 % improvement in CS alignment. These enhancements support circadian rhythm regulation and contribute to a more comfortable indoor environment, ultimately improving sleep quality. These findings underscore the effectiveness of TC glazing in retrofitting elderly apartments, offering significant energy savings and health-related benefits, providing a scalable framework for developing sustainable, health-supportive indoor environments applicable to similar climates and residential building types. [ABSTRACT FROM AUTHOR]
ISSN:03787788
DOI:10.1016/j.enbuild.2025.115460