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2017 | OriginalPaper | Chapter

Optimal Chiller Loading Using Improved Particle Swarm Optimization

Authors : Perumal Nallagownden, Elnazeer Ali Hamid Abdalla, Nursyarizal Mohd Nor, Mohd Fakhizan Romlie

Published in: 9th International Conference on Robotic, Vision, Signal Processing and Power Applications

Publisher: Springer Singapore

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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.

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Metadata
Title
Optimal Chiller Loading Using Improved Particle Swarm Optimization
Authors
Perumal Nallagownden
Elnazeer Ali Hamid Abdalla
Nursyarizal Mohd Nor
Mohd Fakhizan Romlie
Copyright Year
2017
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-10-1721-6_12