Multi-Objective Optimization of Atrium Form Variables for Daylighting, Energy Consumption and Thermal Comfort of Teaching Buildings at the Early Design Stage in Cold Climates

Atrium spaces are widely applied in university buildings. However, achieving effective energy reduction while maintaining adequate daylighting and indoor comfort remains a major challenge at the early design stage. This study identifies key building form design variables significantly influencing atrium daylighting, energy use, and thermal comfort, including building orientation, atrium width-to-depth ratio, atrium aspect ratio, atrium bottom area ratio, and skylight–roof ratio. A multi-objective optimization (MOO) framework is proposed to balance daylight performance, energy consumption, and thermal comfort under fixed envelope parameters. Using typical single- and double-atrium teaching buildings in cold regions as case studies, this research adopts Useful Daylight Illuminance (UDI), Energy Use Intensity (EUI), and Discomfort Time Percentage (DTP) as key indicators to evaluate the interactions between design parameters and building performance. Based on the Pareto-optimal results for the studied prototypes, a south-by-west orientation, moderately slender atrium proportions, relatively compact atrium bottom areas, and medium skylight–roof ratios together yield a balanced performance. Compared with the reference to the initial solution, the optimized solutions reduce EUI by up to 5.66% while also improving UDI and DTP. These results are intended as quantitative references and optimization for early-stage geometric forms design of atrium teaching buildings in cold regions.

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Publication Details

Journal
Buildings
Published
2025-12-08
DOI
https://doi.org/10.3390/buildings15244434
Citations
1
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
1.01
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article

Multi-Objective Optimization of Atrium Form Variables for Daylighting, Energy Consumption and Thermal Comfort of Teaching Buildings at the Early Design Stage in Cold Climates

Adnan Ibrahim, Yijun Jiang, Lu Wang
1 citations
Buildings
Building Energy and Comfort Optimization
1.01
article

Multi-Objective Optimization of Atrium Form Variables for Daylighting, Energy Consumption and Thermal Comfort of Teaching Buildings at the Early Design Stage in Cold Climates

Adnan Ibrahim, Yijun Jiang, Lu Wang
article en
1 citations

Abstract

Atrium spaces are widely applied in university buildings. However, achieving effective energy reduction while maintaining adequate daylighting and indoor comfort remains a major challenge at the early design stage. This study identifies key building form design variables significantly influencing atrium daylighting, energy use, and thermal comfort, including building orientation, atrium width-to-depth ratio, atrium aspect ratio, atrium bottom area ratio, and skylight–roof ratio. A multi-objective optimization (MOO) framework is proposed to balance daylight performance, energy consumption, and thermal comfort under fixed envelope parameters. Using typical single- and double-atrium teaching buildings in cold regions as case studies, this research adopts Useful Daylight Illuminance (UDI), Energy Use Intensity (EUI), and Discomfort Time Percentage (DTP) as key indicators to evaluate the interactions between design parameters and building performance. Based on the Pareto-optimal results for the studied prototypes, a south-by-west orientation, moderately slender atrium proportions, relatively compact atrium bottom areas, and medium skylight–roof ratios together yield a balanced performance. Compared with the reference to the initial solution, the optimized solutions reduce EUI by up to 5.66% while also improving UDI and DTP. These results are intended as quantitative references and optimization for early-stage geometric forms design of atrium teaching buildings in cold regions.

BuildingsVol. 15(24)
The University of Kitakyushu (JP), Northwest A&F University (CN), South China University of Technology (CN)
Openalex Percentile: Top 18%
Building Energy and Comfort Optimization
1.01
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