Sustainability and material efficiency are essential considerations in architecture. However, they are often evaluated late, absent optimization potentials inherent in architectural choices. Easy-to-use computational tools facilitate integration of performance parameters into design decision-making, but because different simulation environments require specific geometric input, simultaneous consideration of multiple constraints is not feasible without significant modeling. This research capitalizes on existing simulation tools and presents a novel procedure, AutoFrame, that converts architectural massing models into structural simulation input models to streamline daylight simulation, and embodied- and operational-carbon assessment during schematic design. Three reference buildings are used to validate the approach and a speculative case study demonstrates how the multi-disciplinary performance feedback guides design decisions while maintaining the flexibility of early design exploration.
