Energy Saving Optimization of Commercial Complex Atrium Roof with Resilient Ventilation Using Machine Learning
نویسندگان
چکیده
Carbon-neutral architectural design focuses on rationally utilizing the building’s surroundings to reduce its environmental impact. Resilient ventilation systems, developed according thermal comfort requirements of building energy-saving research, have few applications. We studied Jin-an Shopping Mall in Harbin and established middle point height (h), horizontal location (d), roof angle (α), exposure floor ratio (k) as morphological parameters atrium. Using computational fluid dynamics (CFD), mean radiant temperature (MRT), universal climate index calculations (UTCI), this program was set switch off air conditioning when resilient met requirement achieve energy savings. The efficiency (U) calculated based consumption original model, U could reach 7.34–9.64% simulation prediction. This study provides methods a theoretical basis for renovating other commercial complexes improve control consumption.
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ژورنال
عنوان ژورنال: Smart cities
سال: 2023
ISSN: ['2624-6511']
DOI: https://doi.org/10.3390/smartcities6050108