How much embodied carbon can we eliminate through smarter structural design? In this video, we explore a parametric LCA workflow that automatically compares four structural systems — Timber, Concrete, Steel, and Hybrid — to identify the lowest-carbon configuration. Using a custom Parametric CO₂ Optimization Engine, the system evaluates real-time material quantities, stiffness, floor height, spans, and composite slab strategies to reduce embodied carbon by up to 65%. This workflow demonstrates how computational design + automation + LCA can drastically improve early-stage decision-making in architecture and engineering. ⭐ What you will learn: -How parametric tools generate structural options instantly -How LCA is integrated into early-stage architectural design -Timber vs Concrete vs Steel vs Hybrid: CO₂ comparison -How parameter sliders influence material mass & stiffness -How real-time optimization identifies the best-performing system -Why embodied carbon matters in structural engineering 🧱 Structural Systems Tested: -Option 1: Full Timber (CLT + composite slabs) -Option 2: Full Concrete (solid + composite slabs) -Option 3: Steel Columns + Hybrid Slabs -Option 4: Hybrid Concrete–Steel–Timber Each option is evaluated live, producing CO₂ values, material quantities, and mass reduction strategies. 🟢 Why This Matters Embodied carbon accounts for a large share of a building’s total environmental impact. By optimizing structure early in the design process, we can dramatically reduce CO₂ before construction even begins. This workflow is ideal for: -Architects -Structural engineers -LCA specialists -Computational designers -Sustainable design researchers -Anyone working with early-stage massing & structural options 🕒 Chapters 00:00 – Introduction 00:13 – DESIGN PARAMETERS: MATERIAL & SYSTEM SELECTION 01:26 – OPTIMIZATION: ITERATIONS & CARBON SCORING 03:20 – FINAL COMPARISON