Specialization: Building Technology
Advisor: Lars Junghans
Dissertation Committee: Mojtaba Navvab, Herek L. Clack
Deok-Oh Woo is a PhD Candidate in the Building Technology of Architecture. He got his Bachelor of Architecture and Master of Science, both from Yonsei University (Republic of Korea). He has been trained as designer and engineer.
Research: Deok-Oh’s research interests are in the areas of building automation, specifically in Model Predictive Control (MPC) algorithm development. Recently, he is working on developing a condensation prevention algorithm, utilizing the MPC scheme. Because MPC determines control strategy based on future condition (simulation data), the control strategy can reflect time-delay of building physics. Thus, with MPC scheme, we can control a risk of interstitial condensation in the future, considering the hygrothermal mass effect in building construction.
- September 2017 – The Norman E. and Mary E. Barnett Scholarship
- June 2017 – Rackham Travel Grant
- April 2017 – Rackham Supplementary Summer 2017 Funding
- June 2016 – Rackham Graduate Student Research Grants for the 2015-2016 competition
- April 2016 – Rackham Spring/Summer 2016 Research Grants Program
Recent Conference Presentations:
- Deok-Oh Woo. (2017) Predicting Indoor Daylight Illuminance from Solar Irradiance and Weather Forecast Data. PLEA 2017 EDINBURGH
- Deok-Oh Woo, Jiyoeng Kim, Taeyeon Kim, Seung-Bok Leigh. (2013) Risk and Economic Analysis of Low Energy Technologies for Apartment Building. Sustainable Building 13 OULU
- 2017 – Detroit Cultivators Project, University of Michigan
- 2017 – Research through Making (Latitudo Borealis), University of Michigan
- 2016 – Comfort and Climate Thermal Simulation Software Development, University of Michigan