PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
December 8, 2025Buildings9 citationsOpen Access

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

View Full Paper
LWLu WangAIAdnan IbrahimYJYijun Jiang

Key Points

  • Optimized atrium designs improve daylighting and reduce energy consumption in teaching buildings.
  • Results show up to 5.66% reduction in energy use intensity, enhancing overall building performance.
  • The assessment uses a multi-objective optimization framework to analyze design variables.
  • Findings suggest essential design strategies for cold climate teaching buildings' energy efficiency.

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.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/69401f0f2d562116f28fa289https://doi.org/10.3390/buildings15244434
Ask AI
Helpful
Bookmark
Share
View Full Paper

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Research on the Optimization Design of the Atrium Space Form in University Libraries Based on the Coupling of Daylighting and Energy Consumption2024 · 7 citations
  2. 2A Sustainable Design Optimization of Atrium Spaces in Commercial Complexes for Enhanced Photothermal Comfort and Energy Efficiency in Severe Cold Regions2025 · 4 citations
  3. 3Integrated Study of the Daylighting of Rooms with Windows Facing the Atrium and the Temperature Regime of the Atrium2025
  4. 4Method of calculation of geometrical parameters of building atrium structures considering the comfort of temperature and air regime2024 · 2 citations
  5. 5Weighted-Sum Optimization of Shopping-Mall Atrium Morphology Using a Field-Based Visual Satisfaction Proxy and sDA-Based Daylight Sufficiency2026