skip to primary navigationskip to content
 

Dr Yeonsook Heo

Dr Yeonsook Heo

University Lecturer


Office Phone: 01223 760114

Biography:

Dr. Yeonsook Heo specializes in building performance modelling and simulation, with expertise in uncertainty quantification and risk assessment. Her research is on developing models and methods for enhancing current practices in predicting and assessing building performance. She received the 2013 Outstanding Young Contributor award from the International Building Performance Simulation Association.

Before coming to Cambridge, she worked as a postdoctoral fellow in the Decision and Information Sciences Division at the Argonne National Laboratory. Her recent work at ANL includes developing a systematic calibration process with a Bayesian calibration framework and Gaussian process modelling for measurement and verification of building retrofit energy savings. Her dissertation, “Bayesian calibration of building energy models for energy retrofit decision-making under uncertainty”, established a scalable method that supports risk-conscious decision-making at large scale. She was invited to be a visiting researcher for an EPSRC-funded project at the University of Cambridge to set up this methodology for community-scale energy models. During the PhD period, she was a student leader for an NSF-funded project to support risk-conscious design and retrofit of buildings for low energy and part of a team that developed a building sustainability assessment standard for Qatar. She received her Ph.D. in Building Technology from the Georgia Institute of Technology and B.S. in Architecture from Chung-Ang University in Seoul, Korea.

 

Key Publications

Heo, Y., Graziano, D., Guzowski, L., and Muehleisen, R.T. (2014). Evaluation of calibration efficacy under different levels of uncertainty. Journal of Building Performance Simulation, in press.

Burkhart, M.C., Heo, Y., and Zavala, V.M. (2014). Measurement and verification of building systems under uncertain data: a Gaussian process modeling approach. Energy and Buildings, 75:189-198.

Sun, Y., Heo, Y., Xie, H., Tan, M., Wu, J., and Augenbroe, G. (2014). Uncertainty quantification of microclimate variables in building energy simulation. Journal of Building Performance Simulation, 7(1):17-32.

Heo, Y., Augenbroe, G., and Choudhary, R. (2013). Quantitative risk management for energy retrofit projects. Journal of Building Performance Simulation, 6(4):257-268

Heo, Y., and Zavala, V. M. (2012). Gaussian process modeling for measurement and verification of building energy savings. Energy and Buildings, 53:7-18.

Heo, Y., Choudhary, R., and Augenbroe, G. (2012). Calibration of building energy models for retrofit analysis under uncertainty. Energy and Buildings, 47:550-560.

Li. Z., Heo, Y., and Augenbroe, G. (2009). HVAC system design methods that respond to organizational dynamics. Proceedings of the Eleventh International IBPSA Conference, Glasgow, Scotland.

Heo, Y., Choudhary, R., Bafna, S., Hendrich, A., and Chow, M. P. (2009). A modeling approach for estimating the impact of spatial configuration on nurses movement. Proceedings of the Seventh International Space Syntax Symposium, Stockholm, Sweden.