Lian, Kuang-Yow Distinguished Professor
- Introduce
- Research Method
- Core Technology
- Related Research
- Papers
Dept of Electrical Engineering
Office : Room 603, Integrated Technology Complex
Phone : +886-2-2771-2171 Ext. 2171
Email : kylian@ntut.edu.tw
Education : PhD, EE, National Taiwan Univeristy
Expertise : Energy-saving technology for chiller systems, Deep learning, Positioning technology, UAV navigation and control, Audio processing and application, Controller design, AIoT
RCEC Principal Research :
Data-driven chiller system and ice storage system energy-saving technology
RCEC Research Goals :
- Develop modular energy-saving technology
- Find efficient energy-saving operating points for various chiller systems
- Create accurate digital twins
- Develop energy-saving optimization algorithms
Research Method and Application :
Optimized energy-saving algorithm for modular design
Use big data to generate efficient and accurate digital twins
Related Research Highlights :
Optimization of the outlet water temperature parameters of the chiller system
Optimization of cooling water circulation parameters based on comprehensive optimization framework
Optimization regulator of chiller load based on inverse modeling technology
Cooling tower scheduling optimization
Detection of equipment anomalies
Applications :
