Optimization of environmentally adaptive BIPV modular building form

It is teamwork of 6 people, in which Mingyue Guo is the team leader. This project optimizes the form of the environmentally adaptive BIPV modular buildings, including the following steps:

• Simulate the PV power generation, building energy consumption, and the outdoor environmental index (wind speed and UTCI) of the parametrically generated BIPV building.
• Train data-driving model with machine learning methods (light GBM, SVR, and ANN) using simulation data to quickly obtain building performance indexes.
• Carry out the multi-objective optimization of building form by using the genetic algorithm.