Author
Listed:
- Hao Xu
(College of Architecture and Engineering, Xinjiang University, Urumqi 830046, China)
- Tao Fan
(College of Architecture and Engineering, Xinjiang University, Urumqi 830046, China)
- Meng Wang
(School of Water Conservancy and Architecture Engineering, Shihezi University, Shihezi 830046, China
School of Architecture and Urban Planning, Nanjing University, Nanjing 210008,China)
- Bing Li
(College of Architecture and Engineering, Xinjiang University, Urumqi 830046, China)
Abstract
The construction sector’s significant energy consumption poses a substantial challenge to achieving global “Carbon Peak and Carbon Neutrality” goals. This study addresses this challenge by proposing a sustainable design framework to optimize atrium spaces in commercial complexes within severe cold regions, where the conflict between high heating energy demands and the pursuit of high-quality spatial experiences is acute. Our climate-adaptive method integrates parametric modeling (Grasshopper) with building performance simulation (Ladybug Tools and Honeybee) to form a multi-objective optimization process using the NSGA-II algorithm. The goal is to simultaneously minimize operational energy (by reducing the seasonal solar heat gain difference, D-RAD) and enhance occupant well-being (by improving useful daylight illuminance, SUMUDI, and thermal discomfort, SUMPPD). Results demonstrate that our framework generated design solutions that significantly improve environmental performance compared to a baseline model: aggregate useful daylight illuminance (SUMUDI) increased by 90.2%, the solar heat gain difference (D-RAD) was reduced by 40.8%, and thermal discomfort (SUMPPD) decreased by 22.7%. This research provides a quantifiable and replicable methodology for sustainable architectural design, contributing directly to the measurement and monitoring of sustainability in the built environment by balancing energy conservation with human-centric design.
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