Akademik Veri Yönetim Sistemi
Gazi University Journal of Science PART B: ART, HUMANITIES, DESIGN AND PLANNING , cilt.13, sa.2, ss.263-277, 2025 (Hakemli Dergi)
The design of high energy-performance buildings today increasingly emphasizes the importance of decisions made during the early design stages. In this context, the adoption of Building Information Modeling (BIM)-based Building Energy Modeling (BEM) approaches has been encouraged. This study investigates a generative design approach integrated with BIM-based BEM in the design process of high energy-performance buildings. The proposed method, developed for cold-dry climate conditions, enables architects to generate various building forms during the early design stage, analyze them in terms of energy performance, and identify optimized solutions. Through algorithms developed within the Revit-Dynamo environment, building forms were first generated based on form factor and floor area criteria. Subsequently, window placements and Window-to-Wall Ratio (WWR) values were parametrically defined for façade design. The resulting design alternatives were subjected to energy simulations using Green Building Studio and evaluated based on their Energy Use Intensity (EUI) values. The design options were visualized in a manner that allowed ranking according to the architect’s objectives, thereby supporting the decision-making process. The findings indicate that compact forms with low form factors and façade-based window optimizations have a significant impact on energy efficiency. Within this scope, the developed framework emerges as an effective tool for sustainable and data-driven building design at the early design stage.