This project is led by Prof. Christopher Chao, Dean of Engineering and Chair Professor of Mechanical Engineering, from the Department of Mechanical Engineering, Faculty of Engineering.
The heating, ventilation and air-conditioning (HVAC) system accounts for at least 30% of total energy consumption in buildings. Traditional operation strategy of HVAC system rarely consider the actual design specification of equipment and real-life operation conditions, leading to increase in energy usage, cost and massive carbon emission. Therefore, solutions for improving the energy efficiency of HVAC system is one of the crucial topic for buildings.
The application of artificial intelligence (AI) in chiller plant optimization is an innovative technique for energy consumption reduction and improved maintenance practice of the heating, ventilation and air-conditioning (HVAC) system, protecting the environment. Artificial intelligence can predict the actual performance of system components and building cooling demand and the most optimized chiller operation schedule can be determined.
We wish to collaborate with managers, buildings owners, engineers and public to adopt innovative technologies in buildings to improve energy usage and minimize the impact to the environment.
*Subject to site/verification measurement.