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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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主要な著者: Nallagownden, P., Hamid Abdalla, E.A., Mohd Nor, N., Romlie, M.F.
フォーマット: 論文
出版事項: Springer Verlag 2017
オンライン･アクセス: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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spelling 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/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description 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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score 13.250246

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