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A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation

This paper employs a recent swarm intelligence technique to solve optimal chiller loading (OCL) problem, namely differential search (DS) algorithm. In general, significant energy savings can be obtained by optimizing chiller operation and design in heating, ventilation and air-conditioning (HVAC) sy...

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主要な著者: M. H., Sulaiman, Hassan, Ibrahim, Hamdan, Daniyal, Mohd Rusllim, Mohamed
フォーマット: 論文
言語:English
出版事項: Elsevier 2014
主題:
TK Electrical engineering. Electronics Nuclear engineering
オンライン･アクセス:http://umpir.ump.edu.my/id/eprint/5928/1/fkee-2014-herwan-New_Swarm_Intelligence_abs_only.pdf
http://umpir.ump.edu.my/id/eprint/5928/
http://dx.doi.org/10.1016/j.sbspro.2014.03.704
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spelling my.ump.umpir.59282018-02-01T06:44:07Z http://umpir.ump.edu.my/id/eprint/5928/ A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation M. H., Sulaiman Hassan, Ibrahim Hamdan, Daniyal Mohd Rusllim, Mohamed TK Electrical engineering. Electronics Nuclear engineering This paper employs a recent swarm intelligence technique to solve optimal chiller loading (OCL) problem, namely differential search (DS) algorithm. In general, significant energy savings can be obtained by optimizing chiller operation and design in heating, ventilation and air-conditioning (HVAC) systems. In this paper, partial load ratio (PLR) of the chiller is used as parameters to be optimized where the power consumption in kW is used as objective function to be minimized. In order to show the effectiveness of the proposed technique, the comparison with other techniques has been done and analyzed. Elsevier 2014-05 Article PeerReviewed application/pdf en http://umpir.ump.edu.my/id/eprint/5928/1/fkee-2014-herwan-New_Swarm_Intelligence_abs_only.pdf M. H., Sulaiman and Hassan, Ibrahim and Hamdan, Daniyal and Mohd Rusllim, Mohamed (2014) A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation. Procedia Social and Behavioral Sciences, 129. pp. 483-488. ISSN 1877-0428 (print); 1877-0428 (online). (Published) http://dx.doi.org/10.1016/j.sbspro.2014.03.704 DOI: 10.1016/j.sbspro.2014.03.704
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. H., Sulaiman
Hassan, Ibrahim
Hamdan, Daniyal
Mohd Rusllim, Mohamed
A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
description This paper employs a recent swarm intelligence technique to solve optimal chiller loading (OCL) problem, namely differential search (DS) algorithm. In general, significant energy savings can be obtained by optimizing chiller operation and design in heating, ventilation and air-conditioning (HVAC) systems. In this paper, partial load ratio (PLR) of the chiller is used as parameters to be optimized where the power consumption in kW is used as objective function to be minimized. In order to show the effectiveness of the proposed technique, the comparison with other techniques has been done and analyzed.
format Article
author M. H., Sulaiman
Hassan, Ibrahim
Hamdan, Daniyal
Mohd Rusllim, Mohamed
author_facet M. H., Sulaiman
Hassan, Ibrahim
Hamdan, Daniyal
Mohd Rusllim, Mohamed
author_sort M. H., Sulaiman
title A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
title_short A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
title_full A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
title_fullStr A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
title_full_unstemmed A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
title_sort new swarm intelligence approach for optimal chiller loading for energy conservation
publisher Elsevier
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/5928/1/fkee-2014-herwan-New_Swarm_Intelligence_abs_only.pdf
http://umpir.ump.edu.my/id/eprint/5928/
http://dx.doi.org/10.1016/j.sbspro.2014.03.704
_version_ 1822916309597290496
score 13.250246

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