An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation

This paper presents a recent swarm intelligence technique viz. Cuckoo Search Algorithm (CSA) for solving the Optimal Chiller Loading (OCL) problem for energy conservation. Multi-chillers system has been widely used by commercial and industrial facilities to provide cooling energy. The main problem o...

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Main Authors: M. H., Sulaiman, Muhammad Ikram, Mohd Rashid, Mohd Rusllim, Mohamed, Omar, Aliman, Hamdan, Daniyal
Format: Conference or Workshop Item
Published: 2014
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/8044/
id ump-8044
recordtype eprints
spelling ump-80442018-02-05T03:43:42Z http://umpir.ump.edu.my/id/eprint/8044/ An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation M. H., Sulaiman Muhammad Ikram, Mohd Rashid Mohd Rusllim, Mohamed Omar, Aliman Hamdan, Daniyal TK Electrical engineering. Electronics Nuclear engineering This paper presents a recent swarm intelligence technique viz. Cuckoo Search Algorithm (CSA) for solving the Optimal Chiller Loading (OCL) problem for energy conservation. Multi-chillers system has been widely used by commercial and industrial facilities to provide cooling energy. The main problem of multi-chillers system is that it conserved huge amount of energy. In this study, Partial Load Ratio (PLR) of the chiller is used as the variables to be optimized while the power consumption in kW is selected as the objective function to be minimized. On the other hand, CSA is a one of well-known swarm intelligence techniques that has been used to solve many optimization problems. In order to show the effectiveness of CSA in solving OCL problem, a case study with six-chiller system is considered. Results obtained are compared with other techniques available in literatures. 2014 Conference or Workshop Item PeerReviewed M. H., Sulaiman and Muhammad Ikram, Mohd Rashid and Mohd Rusllim, Mohamed and Omar, Aliman and Hamdan, Daniyal (2014) An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation. In: International Conference on Electrical Power Engineering and Applications (ICEPEA 2014), 15-16 November 2014 , Langkawi, Kedah. . (Unpublished)
repository_type Digital Repository
institution_category Local University
institution Universiti Malaysia Pahang
building UMP Institutional Repository
collection Online Access
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
M. H., Sulaiman
Muhammad Ikram, Mohd Rashid
Mohd Rusllim, Mohamed
Omar, Aliman
Hamdan, Daniyal
An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation
description This paper presents a recent swarm intelligence technique viz. Cuckoo Search Algorithm (CSA) for solving the Optimal Chiller Loading (OCL) problem for energy conservation. Multi-chillers system has been widely used by commercial and industrial facilities to provide cooling energy. The main problem of multi-chillers system is that it conserved huge amount of energy. In this study, Partial Load Ratio (PLR) of the chiller is used as the variables to be optimized while the power consumption in kW is selected as the objective function to be minimized. On the other hand, CSA is a one of well-known swarm intelligence techniques that has been used to solve many optimization problems. In order to show the effectiveness of CSA in solving OCL problem, a case study with six-chiller system is considered. Results obtained are compared with other techniques available in literatures.
format Conference or Workshop Item
author M. H., Sulaiman
Muhammad Ikram, Mohd Rashid
Mohd Rusllim, Mohamed
Omar, Aliman
Hamdan, Daniyal
author_facet M. H., Sulaiman
Muhammad Ikram, Mohd Rashid
Mohd Rusllim, Mohamed
Omar, Aliman
Hamdan, Daniyal
author_sort M. H., Sulaiman
title An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation
title_short An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation
title_full An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation
title_fullStr An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation
title_full_unstemmed An Application of Cuckoo Search Algorithm for Solving Optimal Chiller Loading Problem for Energy Conservation
title_sort application of cuckoo search algorithm for solving optimal chiller loading problem for energy conservation
publishDate 2014
url http://umpir.ump.edu.my/id/eprint/8044/
first_indexed 2023-09-18T22:05:18Z
last_indexed 2023-09-18T22:05:18Z
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