Janghyun Kim joined NLR in January 2019 and works in the Commercial Buildings Research Group. His work focuses on realizing better-performing buildings through physics-based building energy modeling, minimizing/managing incorrect operations in buildings, and learning/predicting building behaviors from past measurements.

Prior to joining NLR, he completed a Ph.D. at the Ray W. Herrick Laboratories at Purdue University. His dissertation covered experimental studies for characterizing the performance of passive chilled beams in both laboratory settings and in field studies; development of passive chilled beam performance prediction models; integration of these models into building simulation models/tools; and the use of building simulation for overall assessment of different passive chilled beam system configurations.

Stock and Individual Commercial Building Energy Modeling

Automated Fault Detection and Diagnostics

Feature Extraction and Selection for Machine Learned Building Load Prediction