Multi-performative façade systems: The case of real-time adaptive BIPV shading systems to enhance energy generation potential and visual comfort

Building envelopes invariably tend to be static systems that encounter various performance limitations such as inefficient illuminance admittance, and heat moisture transmission owing their non-responsiveness towards environmental fluctuations. In contrast façade solutions, responsive with embedded sensing, actuation, control have been proven perform up 65% higher efficiency by being able adapt physical characters, orientation, material property in real-time a response fluctuating conditions (visual thermal) user preferences. Advancements artificial intelligence machine learning processes further aid optimize multiple parameters level the associated lighting energy, visual discomfort caused solar glare, gain, thermal resistance (heating energy comfort level), natural ventilation simultaneously. This research investigates case of adaptive Integrated Photo Voltaic (BIPV) shading system its ability (in comparison traditional building integrated photo voltaic systems) regards generation potential simultaneously within humid subtropical climate Sydney, Australia. A simulated scenario wherein is deployed on typical multistorey Australia accordingly presented. The conducted simulation considers double-skin uses multi-objective evolutionary computing principles decipher integrability potential. comparative analysis between mounted (PV) opposed optimization driven configurations subsequently maximize generated while maintaining thus unique proposition this research.