Diagnosis and Robust Control of Complex Building Central Chilling Systems for Enhanced Energy Performance

Diance Gao obtained his B.Eng. and M.Sc. degrees in Heating, Ventilation, and Air Conditioning (HVAC) from Chong Qing University in 1999 and 2003, respectively, and received his Ph.D. in HVAC and Building Automation from the Hong Kong Polytechnic University in 2013. He joined Sun Yat-sen University as an Associate Professor in 2017.  He is extensively involved in research and applications in areas such as building energy efficiency, optimal control and fault diagnosis of building systems, building energy management for smart grid and intelligent building technology. He has published over 20 papers in respected, refereed journals and more than 10 papers at international conferences.

Introduction.- Dynamic Simulation Platform of the Studied Building Systems.- In-situ Diagnosis of The Low Delta-T Syndrome in The Chilled Water System: A Case study.- System-level Fault Detection and Diagnosis Method for Low Delta-T Syndrome in the Complex HVAC Systems.- Online adaptive Optimal Control Strategy for the Chilled Water System involving Intermediate Heat Exchangers.- Fault-Tolerant Control Strategy for primary-secondary Chilled Water System.- Simplified Online Robust Pump Speed Control Strategy for Practical Implementation.- Model-based Evaluation of The Energy Impact of Low Delta-T Syndrome Using Support Vector Regression.