Time: Friday, 15/Aug/2025: 10:30am - 12:00pm |
Location: Cripple Creek 2 |
This session showcases the transformative potential of digital twins and semantic data modeling in enhancing building performance, efficiency, and sustainability. The first presentation highlights the creation of an energy model digital twin for a 356,000 sq. ft. net-zero ready mixed-use building, integrating 8,000+ sensors and live BMS data to enable dynamic calibration, fault detection, and predictive analytics. The second presentation explores a tool that automatically generates semantic models from BIM data using standardized ontologies like ASHRAE Standard 223, streamlining the deployment of software applications such as automated fault detection and diagnostics. The third presentation details how ASHRAE’s Net-Zero Energy Global Headquarters utilized digital twin workflows and BIM data integration to optimize asset management, predictive maintenance, and energy performance. Together, these presentations demonstrate how digital twins and semantic models empower designers, operators, and owners to achieve intelligent, adaptive, and sustainable building management.
BIM2RDF: A tool for creating Semantic Models of Building Systems from Building Information Models
Pacific Northwest National Laboratory, United States of America
Building systems are able to monitor their performance and environmental conditions. Software applications that can make use of this data (e.g., automated fault detection and diagnostics) can improve building performance and occupant satisfaction and reduce operational costs. Currently, such software needs to be configured manually, typically requiring specialized human labor, making the applications time-consuming and expensive to deploy. Semantic models created using standardized ontologies can reduce this deployment burden. This presentation describes a tool that creates semantic models that comply with the emerging ASHRAE Standard 223 ontology from source Building Information Models exported from Autodesk Revit using Speckle.
Leveraging Digital Twin Technology for Net-Zero Energy Asset Management
Pinnacle Infotech Solutions, India
The integration of Digital Twin technology in asset management is revolutionizing the way we design, operate, and maintain high-performance buildings. This session will present a real-world case study of ASHRAE’s Net-Zero Energy Global Headquarters, highlighting the implementation of Building Information Modeling (BIM) and Digital Twin workflows. We will explore how LOD 400 & 500 models, data integration, and real-time analytics enabled smarter decision-making, predictive maintenance, and energy optimization. Attendees will gain insights into best practices for digital asset management, improving lifecycle performance, and leveraging BIM-driven workflows to achieve sustainability goals in modern building operations.
Real-Time Calibration of Energy Models Using BMS Data: Building the Next Generation of Digital Twins
Page, United States of America
This presentation explores an energy model digital twin for a 356,000 sq. ft. net-zero ready mixed use building, integrating BMS data from 8,000+ sensors for calibration. It details how live data maps to energy model variables, creating a dynamic feedback loop. The energy-model enables granular sensor access and actuator control for synchronization. A flexible data architecture and web interface ensure interoperability, supporting visualization, fault detection, and predictive analytics. This framework advances digital twin capabilities for intelligent optimization. AI-driven optimization will be leveraged in the future to evaluate energy efficiency measures and performance.