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...
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Springer Verlag
2017
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my.utp.eprints.202852018-04-23T01:01:58Z Optimal chiller loading using improved particle swarm optimization Nallagownden, P. Hamid Abdalla, E.A. Mohd Nor, N. Romlie, M.F. 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. Springer Verlag 2017 Article PeerReviewed 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 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. http://eprints.utp.edu.my/20285/ |
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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. |
format |
Article |
author |
Nallagownden, P. Hamid Abdalla, E.A. Mohd Nor, N. Romlie, M.F. |
spellingShingle |
Nallagownden, P. Hamid Abdalla, E.A. Mohd Nor, N. Romlie, M.F. Optimal chiller loading using improved particle swarm optimization |
author_facet |
Nallagownden, P. Hamid Abdalla, E.A. Mohd Nor, N. Romlie, M.F. |
author_sort |
Nallagownden, P. |
title |
Optimal chiller loading using improved particle swarm optimization |
title_short |
Optimal chiller loading using improved particle swarm optimization |
title_full |
Optimal chiller loading using improved particle swarm optimization |
title_fullStr |
Optimal chiller loading using improved particle swarm optimization |
title_full_unstemmed |
Optimal chiller loading using improved particle swarm optimization |
title_sort |
optimal chiller loading using improved particle swarm optimization |
publisher |
Springer Verlag |
publishDate |
2017 |
url |
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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1738656189717151744 |
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13.250246 |