Knowledge Based Expert System Optimisation of the Complex Glass BIPV System Panel Layout on the Cable Net Structural Skin

Nowadays, digital tools in architectural performance-based design have become almost inevitable in creation of Nearly Zero Energy Buildings (nZEB). Rising the number of performances to be included in the building simulation, rise also the need for optimization of building geometry and performances. Current optimization techniques, mostly developed as black-box models, offer great features and target detailed design phase, but they do not provide enough user control during the optimization process. This paper, however, presents knowledge-based expert system with user-interactive features, integrated within Rhinoceros 3D environment, that guide optimization in early design phase. Single criteria optimization of energy generation potential has been done to show and evaluate the effectiveness of the process in qualitative and quantitative manner. One typology of complex Building Integrated Photovoltaics (BIPV) components was chosen as a case study to demonstrate and evaluate potential of the early design phase optimization of paneling considering aesthetical criteria. Results indicate the software is capable to support architects by providing crucial information, allowing them to optimize overall performance while keeping integrity of the design decision-making.