AI-Assisted HVAC System Modeling for Load and Energy Optimization using Buildings AI
Join this webinar to learn how the HVAC Canvas AI Assistant in Buildings AI enables automated HVAC network modeling through a conversational, agentic workflow — eliminating manual configuration and delivering faster, more efficient system design without the complexity of traditional tools.
Whether you’re a building design engineer, R&D professional, or simulation specialist, this session will equip you with practical knowledge and a live demo of Buildings AI in action.
on Thursday, June 25th 2026
8:00 PM (IST) | 9:30 AM (EST)
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Overview
Building on the foundation introduced in Part 1, this webinar takes the Buildings AI HVAC Canvas experience a step further. Designing and modeling HVAC systems has traditionally been a time-intensive process - requiring engineers to manually configure components, adjust system properties, and navigate between tools to achieve accurate results.
This webinar introduces the next evolution of HVAC Canvas within Buildings AI - the HVAC Canvas AI Assistant. Built directly within the same Buildings AI canvas environment, the AI Assistant extends the platform's capabilities by introducing a conversational, agentic workflow that automates HVAC system modeling. Engineers can now build, modify, and refine systems through simple commands, eliminating the need for manual component configuration and repetitive design tasks.
This technical webinar will showcase how Buildings AI and its HVAC Canvas AI Assistant leverage template-based generation, automated network orchestration, and real-time canvas synchronization to streamline the modeling process. By shifting from manual design to an AI-assisted workflow in Buildings AI, engineers can significantly reduce time spent on network building and focus on what matters most - optimizing system performance and making informed design decisions.
What You’ll Learn
- Understand how the HVAC Canvas AI Assistant operates as an integrated agentic interface within the design canvas.
- Learn how template-based generation and conversational commands replace manual component configuration for faster network modeling.
- Explore how automated network orchestration and real-time canvas synchronization work together to keep your model accurate and up to date.
Who should attend?
- HVAC Engineers and MEP Consultants looking to streamline network modeling and reduce time spent on manual design tasks.
- Energy Modelers and Building Performance Professionals focused on improving workflow efficiency without compromising simulation accuracy.
- BIM and Design Professionals interested in AI-assisted workflows that simplify complex system configuration and reduce tool dependency.
New to the Series?
This session is Part 2 of our ongoing HVAC Canvas webinar series. If you haven't attended Part 1 yet, we recommend watching the recording for a foundational understanding of HVAC Canvas - covering unified system design, real performance data integration, and whole-year energy simulations.
Part 01 : Detailed HVAC System for Load and Energy Optimization using Buildings AI
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