Session · Energy modeling and tools · Designers and consultants

AI Meets Passive House: From Algorithms to Airtightness

Ed May, BLDGTYP · September 17, 2025 · Chapter · PHRM (Passive House Rocky Mountains)

Ed May of BLDGTYP on his team's hands-on use of AI tools in Passive House projects, from design generation and data ingestion to submittal review, model analysis, and custom tool development: what's ready today, what isn't, and the pitfalls.

Key points

• Real-world uses of AI and machine learning in Passive House practice, from design generation to custom tool development.
• How large language models, predictive analytics, and coding copilots can support Passive House workflows.
• Practical strategies for bringing these tools into your own projects.
• The risks: data quality, software limits, and workflow integration.

Learning objectives

• Identify real-world applications of AI/ML in Passive House practice, including design generation, data ingestion, submittal review, model analysis, and custom tool development.
• Evaluate how large language models, predictive analytics, and coding copilots can support Passive House workflows and decision-making.
• Apply lessons from AI/ML demonstrations to plan practical strategies for incorporating these tools into your own Passive House projects.
• Recognize potential challenges or risks associated with AI/ML adoption, including data quality, software limitations, and workflow integration.

Topics: Design optimization