relation: https://khub.utp.edu.my/scholars/8974/
title: Intelligent approach for optimal energy management of chiller plant using fuzzy and PSO techniques
creator: Abdalla, E.A.H.
creator: Nallagownden, P.
creator: Nor, N.M.
creator: Romlie, M.F.
creator: Abdalsalam, M.E.
creator: Muthuvalu, M.S.
description: 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.
publisher: Institute of Electrical and Electronics Engineers Inc.
date: 2017
type: Conference or Workshop Item
type: PeerReviewed
identifier:   Abdalla, E.A.H. and Nallagownden, P. and Nor, N.M. and Romlie, M.F. and Abdalsalam, M.E. and Muthuvalu, M.S.  (2017) Intelligent approach for optimal energy management of chiller plant using fuzzy and PSO techniques.  In: UNSPECIFIED.     
relation: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85011967154&doi=10.1109%2fICIAS.2016.7824050&partnerID=40&md5=afb50004fb844ff4512769a6e37fdee0
relation: 10.1109/ICIAS.2016.7824050
identifier: 10.1109/ICIAS.2016.7824050