Maximizing Energy Efficiency and Daylight Performance in Office Buildings in BIM through RBFOpt Model-Based Optimization: The GENIUS Project

Architects face the challenge of exploring various design solutions in early stage, often with conflicting optimization goals. To tackle this complexity, they need to rely on tools and methodologies during conceptual phase assess optimize designs, considering multiple aspects building performance. Parametric Design, Generative automation Building Information Modelling (BIM) offer architects new opportunities work complex buildings. These advancements empower designers enhance their increase project efficiency, improve performance, reduce time costs. Multi-Objective Optimization algorithms are employed address objectives process. The GENIUS introduces an Algorithm-Aided Design workflow that optimizes shape Window-to-Wall Ratio office building, energy daylight integration BIM software, visual programming tools, Artificial Intelligence techniques (Genetic Algorithms RBFOpt model-based optimization) allows identify optimal aligning objectives. was validated through a case study large focusing maximizing performance using Spatial Daylight Autonomy metric minimizing consumption Energy Use Intensity metric. equips methodology toolset designs for challenges.