A Sustainable Design Optimization of Atrium Spaces in Commercial Complexes for Enhanced Photothermal Comfort and Energy Efficiency in Severe Cold Regions

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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Publication Details

Journal
Sustainability
Published
2025-12-02
DOI
https://doi.org/10.3390/su172310818
Primary Topic
Building Energy and Comfort Optimization
Type
article
Field-Weighted Citation Impact
0.00
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article

A Sustainable Design Optimization of Atrium Spaces in Commercial Complexes for Enhanced Photothermal Comfort and Energy Efficiency in Severe Cold Regions

Hao Xu, Tao Fan, Meng Wang, Bing Li
Sustainability
Building Energy and Comfort Optimization
article

A Sustainable Design Optimization of Atrium Spaces in Commercial Complexes for Enhanced Photothermal Comfort and Energy Efficiency in Severe Cold Regions

Hao Xu, Tao Fan, Meng Wang, Bing Li
article en

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.

SustainabilityVol. 17(23)
Shihezi University (CN), Nanjing University (CN), Xinjiang University (CN)
Openalex Percentile: Top 59%
Building Energy and Comfort Optimization
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A Sustainable Design Optimization of Atrium Spaces in Commercial Complexes for Enhanced Photothermal Comfort and Energy Efficiency in Severe Cold Regions — Hao Xu, Tao Fan, et al. · Sustainability (2025) | TGRS Research Map | TGRS