Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Transforming Education and Workforce Training in Building Energy and HVAC with GenAI
Liang Zhang
University of Arizona
This presentation explores how GenAI technologies can automate and enhance professional learning across multiple dimensions, including building energy modeling workflows (e.g., EnergyPlus model development, debugging, and calibration), HVAC system design and operation (e.g., load calculation, system sizing, and fault diagnostics), and broader data management skills (e.g., data cleaning, transformation, and knowledge retrieval). Specific training applications include intelligent tutoring systems for energy modelers, AI-assisted certification exam preparation, hands-on scenario generation for HVAC engineers, and personalized feedback for building energy analysts.
An Open-Source Automated Platform for Complex Building Energy Modeling from Natural Language
Gang Jiang
The University of Utah
Building energy modeling (BEM) often requires significant manual effort, limiting its widespread application in design and operational decision-making. To address this challenge, this study proposes EPlus-LLMv2, an open-source, large language model (LLM)-based platform that enables users to automatically generate complex building energy models using natural language. The proposed method enables highly customized LLM-based BEM for complex cases while maintaining computational efficiency. An interactive human-AI interface is also implemented to improve usability for practitioners.
