Energy for Sustainable Development
The Journal of the International
Energy Initiative
© 2007, International Energy Initiative, Inc.
ISSN: 0973-0826
Volume XII, No.2, June 2008, pp. 49-55
Dynamic
modeling and fuzzy augmented PI control of a high-rise
building hot water heating system
L. Lianzhong and M. Zaheeruddin
Abstract
Energy consumption
of hot water heating (HWH) systems in high-rise buildings is a
topic of considerable economic interest. In this study a
dynamic model of a HWH system was developed and an intelligent
fuzzy logic operating strategy was designed to improve energy
efficiency of the system. Dynamic responses of temperature and
water mass flow rate in the system were studied. Two types of
boiler temperature set-point strategies, one based on average
outdoor air temperature method and the other using a fuzzy
augmented system, were explored and their performance was
compared. From the simulation results it is shown that the
strategy based on the fuzzy inference system saved boiler fuel
consumption by about 10 %.
Key-words:
hot water heating system, dynamic modeling, operating
strategy, energy consumption, simulation