Optimal chiller loading using improved particle swarm optimization

Nallagownden, P. and Hamid Abdalla, E.A. and Mohd Nor, N. and Romlie, M.F. (2017) Optimal chiller loading using improved particle swarm optimization. Lecture Notes in Electrical Engineering, 398. pp. 103-113.

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Reducing energy consumption is one of the most important for optimal electric-driven chiller operation. Therefore, even small reduction in power consumption will achieve significant energy savings. This paper adopts improved particle swarm optimization (IPSO), which is aiming to reduce energy consumption, and improve the performance of chillers. The method has been validated by real case study, and the results have demonstrated the effectiveness for saving energy and kept the cooling demand at satisfactory level. © Springer Science+Business Media Singapore 2017.

Item Type: Article
Impact Factor: cited By 0
Departments / MOR / COE: Departments > Electrical & Electronic Engineering
Depositing User: Mr Ahmad Suhairi Mohamed Lazim
Date Deposited: 23 Apr 2018 01:01
Last Modified: 23 Apr 2018 01:01
URI: http://scholars.utp.edu.my/id/eprint/20285

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