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Li Song

Li Song

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: Monday 2:00-3:00pm and
Thursday 12:00-1:00pm
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.

 

  • AME 2213 Thermodynamics
  • AME 4553 Design Practicum (Capstone)
  • AME 4653 Air Conditioning Systems
  • AME 5740 Design of Energy Efficient Systems in Buildings
  • American Society of Heating, Refigerating and Air-Conditioning Engineers (ASHRAE)
  • American Society of Mechanical Engineers (ASME)
  • 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 Researchin 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 Researchin press.