CEE Student Inducted as Prestigious Siebel Scholar
CEE PhD student Jingkun Gao was among a select group named as a 2017 Seibel Scholar.
Gao, who is advised by Professor Mario Berges, looks to reduce the manual effort required to implement and deploy automated fault detection and diagnosis (FDD) algorithms in commercial heating-ventilation-air conditioning (HVAC) systems.
Approximately 12% of the energy consumed by commercial buildings in the United States is attributable to faulty operations of their HVAC systems, and there are hundreds of FDD algorithms developed to detect and diagnose these faults.
However, deploying these algorithms currently requires hundreds of hours of manual labor for a single building. By developing machine-learning algorithms, Gao can reduce the hundreds of labor hours detecting and diagnosing faults to nearly zero.
"Jingkun’s work on automated fault detection and diagnosis promises to improve substantially the efficiency of commercial HVAC systems, with a potential huge impact in energy savings worldwide,” said David Dzombak, Hamerschlag University Professor and Head of Civil and Environmental Engineering.
The Siebel Scholars program was founded in 2000 to recognize the most talented students at the world's best graduate schools, bringing together talented individuals to form a vibrant, active community of leaders who collaborate, communicate, and institute meaningful change.
As a Siebel Scholar, Jingkun will attend the highly outcome-driven Siebel Scholars conference next year to explore critical social issues. He and the 1,100 Siebel Scholars from years past serve as advisors to the Siebel Foundation and work collaboratively to find solutions to society’s most pressing problems.