This thesis presents a Building Information Modeling (BIM)-based methodology for the integrated surface specific design, optimization, and economic evaluation of photovoltaic (PV) systems on the entire envelope of sustainable buildings. The proposed workflow leverages the interoperability between Autodesk Revit, Dynamo, and Refinery, combining parametric modeling with generative design techniques to support data-driven decision-making in the early design phases, as well as retrofit design in existing structures. The methodology is structured around two complementary pathways: a user-driven simulation allowing deterministic control over design parameters, and a generative design approach enabling the automated exploration of multi-objective scenarios. A real-world case study conducted on the Stellantis PCMA industrial facility in San Benigno Canavese (Italy) validates the robustness and adaptability of the methodology.