%K Cooling systems; Energy management; Energy utilization; Fuzzy inference, Best value; Chiller plants; Chillers; Fussified PSO; Fuzzy inference systems; Objective functions; Power savings; Weighting factors, Particle swarm optimization (PSO)
%X This paper discusses the optimal energy management of chiller plant. Two intelligent approaches have been employed. Fuzzy is used to adjust the set-point and, while PSO is utilized to optimize the objective function after setting by Fuzzy. Moreover, Fuzzy is also utilized to adjust weighting factors in order to find the best values for the PSO local and global. This will improve PSO performance. The proposed method was combined two levels as Fuzzified PSO, and the model has been simulated and validated by a real case study which consists of 5 electric-driven chillers. The results have shown that the effectiveness of the proposed method compared to the conventional one, and it also has demonstrated a better power saving. © 2016 IEEE.
%R 10.1109/ICIAS.2016.7824050
%D 2017
%L scholars8974
%J International Conference on Intelligent and Advanced Systems, ICIAS 2016
%O cited By 7; Conference of 6th International Conference on Intelligent and Advanced Systems, ICIAS 2016 ; Conference Date: 15 August 2016 Through 17 August 2016; Conference Code:125970
%A E.A.H. Abdalla
%A P. Nallagownden
%A N.M. Nor
%A M.F. Romlie
%A M.E. Abdalsalam
%A M.S. Muthuvalu
%I Institute of Electrical and Electronics Engineers Inc.
%T Intelligent approach for optimal energy management of chiller plant using fuzzy and PSO techniques