Early-Stage Energy Analysis with AI
What you'll learn
- 1Use AI to perform rapid parametric energy analysis during schematic design
- 2Evaluate building orientation, massing, and envelope decisions for energy impact before detailed modeling
- 3Communicate energy performance trade-offs to clients using AI-generated comparisons
The most impactful sustainability decisions in any building happen during schematic design: building orientation, massing proportions, window-to-wall ratios, and envelope strategy. Yet traditional energy modeling happens much later, during design development or even CDs, when changing these fundamentals is expensive or impossible. AI bridges this gap.
Parametric Energy Analysis in SD
AI can perform rapid, approximate energy comparisons during schematic design:
"Compare the annual energy performance of these four massing options for a 25,000 SF office building in Portland, OR (Climate Zone 4C): Option A: Bar building, long axis east-west, 40% WWR south, 20% WWR north Option B: L-shaped, primary wings facing south and west, 35% WWR all facades Option C: Courtyard building, 30% WWR all facades, central atrium with operable skylight Option D: Compact square plan, 25% WWR uniform, green roof
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What you'll learn:
- Use AI to perform rapid parametric energy analysis during schematic design
- Evaluate building orientation, massing, and envelope decisions for energy impact before detailed modeling
- Communicate energy performance trade-offs to clients using AI-generated comparisons