What question did this study set out to answer?

To optimize natural daylighting and heating energy efficiency simultaneously in cold-region university teaching buildings by exploiting spatial heterogeneity.

August 20, 2026BuildingsOpen Access

Research on the Synergistic Optimization of Daylighting and Thermal Performance in University Teaching Buildings from the Perspective of Spatial Heterogeneity

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Authors

YMYang MingNational University of Singapore JSJieli Sui

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Implication

Parametric optimization study reveals spatial heterogeneity design reduces heating energy and enhances daylighting in cold-region buildings, indicating climate-matched design benefits.

Key Points

To optimize natural daylighting and heating energy efficiency simultaneously in cold-region university teaching buildings by exploiting spatial heterogeneity.
Established an integrated framework combining parametric modeling, multi-objective optimization, and machine learning for a typical cold-region teaching building.
Evaluated spatial daylight autonomy (sDA), useful daylight illuminance (UDI), and heating energy use intensity (Eh) against a homogeneous baseline to establish Pareto-optimal design configurations.
Trained four machine learning models (MLP, LightGBM, XGBoost, and Random Forest) to rapidly classify and predict optimal early-stage architectural designs.
The optimal design configuration reduced heating energy use intensity (Eh) by 17.43% while increasing useful daylight illuminance (UDI) by 12.0% and spatial daylight autonomy (sDA) by 10.5% relative to baseline.
Pareto-optimal solutions converged strictly toward a due-south orientation, a depth ratio of 0.66–0.77 (deep-south, shallow-north), and enhanced northern insulation paired with southern heat gain.
All four machine learning classification algorithms achieved test recall rates exceeding 99% for identifying top-performing design schemes.

Cite This Study

Ming et al. (2026) studied this question.

synapsesocial.com/papers/6a86b5da8a91293e6a1cd65f https://doi.org/10.3390/buildings16163278

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Implication

Parametric optimization study reveals spatial heterogeneity design reduces heating energy and enhances daylighting in cold-region buildings, indicating climate-matched design benefits.

Research on the Synergistic Optimization of Daylighting and Thermal Performance in University Teaching Buildings from the Perspective of Spatial Heterogeneity

Discussion

Member takes

Implication

Key Points

Cite This Study

Research on the Synergistic Optimization of Daylighting and Thermal Performance in University Teaching Buildings from the Perspective of Spatial Heterogeneity

Discussion

Member takes

Implication

Key Points

Cite This Study

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