A NOVEL DESIGN-BASED OPTIMIZATION SOLUTION FOR BUILDING BY SENSITIVITY ANALYSIS

The important objective of a building must be to provide comfortable environment for people. Heating, ventilation and air conditioning (HVAC) systems environment, but they are using high energy consumption, therefore, designing an energy-efficient that balances performance thermal comfort is necessary. To achieve this subject choose the effective parameters performance. This research aim produce methodology multi-objective optimization daylight in order study effect wall material shading office (Tehran basic-location). simulation was developed validated by comparing predicted hours hour based on test training Jupiter Notebook (Anaconda3). sensitivity analysis uses multiple linear regression (MLR) method. Secondly, genetic algorithm (GA) with optimize For this, we parametric model Grasshopper plugin Rhino then use Honeybee Ladybug plugins simulate daylight, at end Octopus engine find solution. result paper essential as preliminary devices, window-to-wall ratios, construction open-plan office.