Piljae Im

Piljae Im

Group Leader for Integrated Building Deployment and Analysis

Dr. Piljae Im is a senior R&D staff member, group leader for the Integrated Building Deployment and Analysis Group, and subprogram manager for the Building Energy Modeling program at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL). He received his PhD and MS in architecture from Texas A&M University. Since he joined ORNL in 2009, Dr. Im has served as principal investigator and co–principal investigator for numerous research projects sponsored by DOE’s Building Technologies Office, US Department of Defense, and domestic and international industry partners. Dr. Im’s research has focused on detailed calibration of building energy simulation models based on field-measured data, development of prototype building models, validation and uncertainty characterization for energy simulations, advanced controls such as model predictive control, and automated fault detection and diagnosis. He also has been leading numerous projects for the deployment and demonstration of various energy efficiency measures (EEMs), measurement and verification (M&V), and data analysis. Dr. Im has more than 20 years of experience in building energy simulation modeling and is a user of numerous building energy and daylighting simulation software, such as EnergyPlus, OpenStudio, eQuest, Radiance, and DOE-2.1e. He has authored and coauthored more than a hundred peer-reviewed conference and journal papers. Dr. Im is an active member of the International Building Performance Simulation Association (IBPSA) and the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE) and is a voting member of technical committees, including ASHRAE Standing Standard Project Committee (SSPC) 140 and Guideline Project Committee 45P.

ASHRAE Distinguished Service Award

2020 Federal Energy and Water Management Award from the DOE's Federal Energy Management Program (FEMP)

Significant Event Award (SEA) from Oak Ridge National Laboratory.

Best Paper Award at the 2020 Building Performance Analysis Conference and SimBuild