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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Main Authors:	M. H., Sulaiman, Hassan, Ibrahim, Hamdan, Daniyal, Mohd Rusllim, Mohamed
Format:	Article
Language:	English
Published:	Elsevier 2014
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/5928/ http://umpir.ump.edu.my/id/eprint/5928/ http://umpir.ump.edu.my/id/eprint/5928/ http://umpir.ump.edu.my/id/eprint/5928/1/fkee-2014-herwan-New_Swarm_Intelligence_abs_only.pdf

id	ump-5928
recordtype	eprints
spelling	ump-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) http://dx.doi.org/10.1016/j.sbspro.2014.03.704 DOI: 10.1016/j.sbspro.2014.03.704
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Malaysia Pahang
building	UMP Institutional Repository
collection	Online Access
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/ http://umpir.ump.edu.my/id/eprint/5928/ http://umpir.ump.edu.my/id/eprint/5928/ http://umpir.ump.edu.my/id/eprint/5928/1/fkee-2014-herwan-New_Swarm_Intelligence_abs_only.pdf
first_indexed	2023-09-18T22:01:22Z
last_indexed	2023-09-18T22:01:22Z
_version_	1777414420635320320

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

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