Optimization of Daylighting, Ventilation, and Cooling Load Performance of Apartment in Tropical Ocean Area Based on Parametric Design

被引:7
作者
Zhang, Jianjian [1 ]
Ji, Lin [2 ]
Li, Hong Xian
机构
[1] Macau Univ Sci & Technol, Macau Inst Syst Engn, Macau 999078, Peoples R China
[2] SEGi Univ, Grad Sch Business, Kuala Lumpur 47810, Malaysia
关键词
MULTIOBJECTIVE GENETIC ALGORITHMS; ENERGY PERFORMANCE; THERMAL COMFORT; BUILDINGS; METRICS; FACADE;
D O I
10.1155/2021/6511290
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
In tropical areas of China, energy saving is an important part of architectural design, and the energy-saving potential of residential buildings has attracted extensive attention. This paper studies the daylighting, ventilation, and building energy consumption in tropical areas to find out the best energy-saving performance parameters. The building model is established by grasshopper, and the parameters of daylighting, ventilation performance and cooling load are simulated. The octopus plug-in in grasshopper is used to calculate the target value iteratively, so as to find the relative optimal value of multiobjective. Finally, the optimized design value is compared with the initial value. The results show that the refrigeration energy consumption is greatly reduced from 188.20 kwh/m(2) to 163.02 kwh/m(2), the Daylight Autonomy (DLA) is reduced from 60.71% to 58.56%, and the ventilation wind speed is increased from 0.62 to 0.63 m/s. It can be seen from the results that although the daylighting objectives was reduced, the cooling energy consumption is greatly reduced, and the optimized daylighting layout is more balanced and reasonable. Therefore, on the basis of reasonable layout, this optimization study effectively reduces the refrigeration energy consumption and achieves the goal of green energy saving.
引用
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页数:11
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