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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2014
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| Subjects: | |
| Online Access: | 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 |
| _version_ | 1848817668327473152 |
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| 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 |
| building | UMP Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T01:25:25Z |
| format | Article |
| id | ump-5928 |
| institution | Universiti Malaysia Pahang |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T01:25:25Z |
| publishDate | 2014 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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). (Published) http://dx.doi.org/10.1016/j.sbspro.2014.03.704 DOI: 10.1016/j.sbspro.2014.03.704 |
| 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 |
| title | A New Swarm Intelligence Approach for Optimal Chiller Loading for Energy Conservation
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| 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_short | 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 |
| topic | TK Electrical engineering. Electronics Nuclear engineering |
| 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 |