On-going Research Projects (as PI)
11/2012 – 10/2015 ECS/UGC (PI), 738.087K HK$, Enhancing the thermal comfort and energy efficiency of air-conditioning systems for large-scale rooms by integrating robust MIMO control and wireless sensor network, No. 124012, City University of Hong Kong
Abstract: This research will investigate how to improve the thermal comfort and energy efficiency of the air-conditioning systems of large-scale rooms by capitalizing a wireless sensor network and advanced control techniques. At least one sensor node will be installed at the occupied level in each area served by a single VAV supply air box. All of the sensor nodes and receivers constitute a wireless sensors network, which will be deployed to measure and transfer the temperature to a new control scheme. The new control scheme will be designed to realize a demand-based temperature control, which will supply cooling only to areas with requirement and no cooling will be supplied if the areas have no requirement (e.g. no occupants).
10/2012 – 03/2014 ECF (PI), 442K HK$, Study the energy saving opportunities and potentials of using wireless sensor network to monitor the indoor climate of large-scale rooms in Hong Kong, No. 40/2011, City University of Hong Kong
Abstract: Wireless sensor network (WSN) for building applications has been considered by many HVAC experts as an efficient tool to promote building energy efficiency. However, this conclusion has not been supported by enough experimental results in Hong Kong (even worldwide). Currently, there is no WSN test bed constructed for studying how to deploy WSN to enhance the building energy efficiency by considering the building characteristics and the unique climate of Hong Kong. Allowing for the importance of building energy saving for the environmental protection and conservation in Hong Kong, this project aims to build the first WSN test bed in Hong Kong to improve the indoor climate monitoring performance for large-scale rooms. Most importantly, this project will develop a systematic and analytic approach to explore the energy saving opportunities and potentials offered by the WSN-based monitoring system.
01/2012 – 12/2014 GRF/UGC (PI), 658.605K HK$, Development of a new approach of total cooling load based chiller sequencing control to deal with uncertainties systematically, No. 114011(9041665), City University of Hong
Abstract: This research will investigate uncertainties associated with total load based chiller sequencing control, which may significantly affect the energy performance of chiller plants. Two types of uncertainties will be considered: measurement uncertainties associated with the cooling load estimation and model uncertainties associated with online estimation of chiller maximum cooling capacity. Data fusion will be investigated and developed to reduce the measurement uncertainties. A model-based method will be employed to online estimate the chiller maximum cooling capacity; and uncertainties associated with the model will be evaluated using field data. A method of online tuning the model parameters will be developed to reduce the model uncertainties. Decision making under uncertain information will be reviewed and a suitable approach will be developed for chiller staging operations.
Completed Research Projects (as PI)
10/2010 – 03/2012, Robust model predictive control of VAV terminal units for control performance enhancement concerning nonlinearities and constraints, Strategic Research Grant (PI), No. No. 7008086.
12/2009 - 11/2011, Investigation on diverse centrifugal chiller steady-state models for application in building instantaneous cooling load fused measurement, New staff start-up project (PI), No. 7200176.
12/2009 - 06/2011, Gain-scheduling robust model predictive control for VAV air-handing unit application, Department Supporting Fund, DRG 01/09-10.