Optimal chiller loading using improved particle swarm optimization
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 consum...
| Main Authors: | Nallagownden, P., Hamid Abdalla, E.A., Mohd Nor, N., Romlie, M.F. |
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| Format: | Article |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.20285 / |
| Published: |
Springer Verlag
2017
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| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992702448&doi=10.1007%2f978-981-10-1721-6_12&partnerID=40&md5=2db8286f5d62c8c417ce48f9bdb2cebc http://eprints.utp.edu.my/20285/ |
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| Summary: |
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. |
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