August 22, 2025Open Access

Multi-objective Optimization of Classroom Window Design for Energy and Thermal Comfort in Hot-Humid Climates

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Energy use intensity saw a reduction of 6.7%, improving the overall energy efficiency of school buildings.
The study utilized multi-objective optimization techniques, identifying key factors like window-to-wall ratio and solar heat gain coefficient.
Gaussian Process Regression validated the model, achieving high R² values of 0.91 for energy use intensity and 0.95 for thermal comfort time ratio.
Insights gained from this research can guide sustainable architectural practices in hot-humid climates.

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Implication

This research demonstrates a multi-objective optimization of window design in school buildings, indicating balanced energy efficiency and improved thermal comfort in hot-humid climates.

Cite This Study

Xia et al. (2025) studied this question.

synapsesocial.com/papers/68af7b1f7567bf4f94ff2ab6 https://doi.org/10.20944/preprints202508.1657.v1

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Implication

This research demonstrates a multi-objective optimization of window design in school buildings, indicating balanced energy efficiency and improved thermal comfort in hot-humid climates.

Multi-objective Optimization of Classroom Window Design for Energy and Thermal Comfort in Hot-Humid Climates

Key Points

Discussion

Implication

Cite This Study

Multi-objective Optimization of Classroom Window Design for Energy and Thermal Comfort in Hot-Humid Climates

Key Points

Discussion

Implication

Cite This Study