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Integrated Design for Rooftop Daylighting of Sports Hall by Multi-purpose Optimization Process with daylighting and energy performance

자연채광 및 에너지 복합성능 최적화 프로세스를 통한 체육관 천창 통합설계

  • Received : 2022.08.07
  • Accepted : 2022.09.21
  • Published : 2022.10.30

Abstract

This study aimed to analyze multi-purpose optimized design alternatives for sports halls to minimize total energy consumption, maximize daylight quantity, minimize glare probability and develop meta-models to predict energy and daylight performance during the early design stage. The automatic optimization tool of Modefrontier integrated with the rhino-grasshopper model was developed and simulated with the energy plus and radiance engine. Three optimization phases were conducted, and the variable ranges and optimization algorithms were selected for each phase's aim. In the first and second phases, the optimized cases were selected in the Pareto surfaces and compared to analyze the influence of glare prevention on the best-performing cases. Lastly, the meta-model was developed and presented to predict energy and daylight performance with a variation of the three most sensitive variables to predict the performance without energy simulation by architects and all participants. The rooftop daylighting model with cone-type lightwell was selected for the analysis with four geometric variables and two material variables for parametric design development. The results revealed that the window-floor-ratio was a dominant variable for all energy, useful daylight index, and daylight glare probability followed by tilting height and lightwell height. The window-floor ratio in the Pareto-optimized cases ranged between 11 and 21 percent in the first optimization without the glare-free objective; the range was reduced to between 8.5 and 14 percent. The range of lightwell height shrunk between 360 and 480 mm to between 240 and 360 in relieving glare. The developed response surface model with restricted window-floor ratio of 9.5-13 percent is expected to provide relevant information for future decision-making purposes.

Keywords

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