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

In tropical areas of China, energy saving is an important part architectural design, and the energy-saving potential residential buildings has attracted extensive attention. This paper studies daylighting, ventilation, building consumption in to find out best performance parameters. The model established by grasshopper, parameters ventilation cooling load are simulated. octopus plug-in grasshopper used calculate target value iteratively, so as relative optimal multiobjective. Finally, optimized design compared with initial value. results show that refrigeration greatly reduced from 188.20 kwh/m2 163.02 kwh/m2, Daylight Autonomy (DLA) 60.71% 58.56%, wind speed increased 0.62 0.63 m/s. It can be seen although daylighting objectives was reduced, layout more balanced reasonable. Therefore, on basis reasonable layout, this optimization study effectively reduces achieves goal green saving.