Seminar 13 -- Better Data and Analytics Enable Better Decision Making on Building Operations and Decarbonization

2024 ASHRAE Annual Conference

This product is a zip file that contains files that consist of PowerPoint slides synchronized with the audio-recording of the speaker, PDF files of the slides, and audio only (mp3 format) as noted.

Research-grade datasets, compliant with the FAIR principles, from real buildings can address essential gaps that limit our present data analytics and machine learning capabilities. However, it is time-consuming and hard to find datasets that have adequate data coverage, good data quality and clear documentation. This seminar presents building performance datasets and various data tools used to curate, standardize and publish the datasets. Case studies of applying data analytics and machine learning to extract valuable information for informing improvements of building operations and decarbonization will be presented. Challenges and opportunities in curating and using FAIR datasets will also be discussed.

1. FAIR Datasets for Buildings Research Tianzhen Hong, PE, LBNL, Berkeley, CA
2. Vizbrick: Visual Brick Model Authoring Tool for Building Metadata Standardization Piljae Im, Ph.D., Oak Ridge National Laboratory, Oak Ridge, TN
3. Metadata Ontologies for Data Discovery and Portable Analytics Gabe Fierro, Dr., Colorado School of Mines, Golden, CO
4. Managing Public Disclosure and Building Performance Data for District Energy System Modeling Nicholas Long, PE, NREL, Lakewood, CO