Li Song

Professor
Lloyd G. and Joyce Austin Presidential Professor
AME Associate Director for Research

Email: lsong@ou.edu
Phone: (405) 325-1714
Office: Engineering Lab 112
Office Hours: Tuesday 12:00-1:00pm or by appointment
Lab Website: Building Energy Efficiency Lab
Full CV: pdf Dr. Song's full CV (PDF)

Education
Ph.D., Thermal/Fluid Science and Building Energy System Optimization and Energy Conservation (2004)
University of Nebraska-Lincoln
M.S., Thermal/Fluid Science, Heat Transfer, Control and Thermal Systems (1996)
Harbin Institute of Technology
B.S., Thermal/Fluid Science and Thermal Energy Systems (1993)
Shengyang University of Civil Engineering and Architecture

Research Focus

Building energy system optimization and control
Centralized HVAC system fault detection
Energy efficiency technology developments
Building energy system simulation and modeling
Measurement and Verification

Experience and Awards

“Development of an automated unit-level energy monitoring fault detection and diagnostic (ULEM - FDD) for high energy performance buildings” is awarded as one of the five 2011 ConocoPhillips Energy Prize finalists ($25,000).
2006 Bes-Tech Innovation of Technology Award ($5000) for “an innovative air-handling design for research lab facilities” ($5,000).
Milton E. Mohr Research Fellowship, University of Nebraska, 2003.

Courses Taught

AME 2213 Thermodynamics
AME 4553 Design Practicum (Capstone)
AME 4653 Air Conditioning Systems
AME 5740 Design of Energy Efficient Systems in Buildings

Professional Activities and Organizations

American Society of Heating, Refigerating and Air-Conditioning Engineers (ASHRAE)
American Society of Mechanical Engineers (ASME)

Recent Publications

Song, L., Wang, G. Brambley, M. 2014. Building automation system embedded HVAC system energy performance degradation detector, Proceedings of International Conference of Enhanced Building Operations, Beijing, China.
Song, L., Wang, G. Brambley, M. 2014. Building Automation System Embedded HVAC System Energy Performance Degradation Detector, Chapter 43, pp. 563-574, Automated Diagnostics and Analytics for Buildings, B.L. Capehart and M.R. Brambley, eds., The Fairmont Press, Lilburn, Georgia.
Hu, J., Ogunsola, O., Song, L., McPherson, R., Zhu, M., Hong Y., Chen, S. 2014. Restoration of 1-24 hour dry-bulb temperature gaps for use in building performance monitoring and analysis-Part I, HVAC&R Research, in press.
Hu, J., Ogunsola, O., Song, L., McPherson, R., Zhu, M., Hong Y., Chen, S. 2014. Restoration of missing climatic data with long-term gaps (up to 60 days) for use in building performance monitoring and analysis-Part II, HVAC&R Research, in press.
Click here to view Dr. Song's full list of publications.