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. ISSN 18761100
Full text not available from this repository.Abstract
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 |
---|---|
Additional Information: | cited By 1; Conference of 9th International Conference on Robotic, Vision, Signal Processing and Power Applications, RoViSP 2016 ; Conference Date: 2 February 2016 Through 3 February 2016; Conference Code:184869 |
Uncontrolled Keywords: | Computer vision; Cooling systems; Energy conservation; Energy utilization; Particle swarm optimization (PSO); Reactive power; Robotics, Chillers; IPSO; Optimal chiller loading; Real case; Reduce energy consumption; Reducing energy consumption; Saving energy; Small reduction, Signal processing |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 09 Nov 2023 16:21 |
Last Modified: | 09 Nov 2023 16:21 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/9424 |