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

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)

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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.

Item Type: Article
Uncontrolled Keywords: Differential search algorithm; Heating; Ventilation and Air-Conditioning (HVAC) System; Optimal Chiller Loading (OCL); Partial Load Ratio (PLR); Swarm Intelligence
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: Faculty of Electrical & Electronic Engineering
Depositing User: Mrs. Neng Sury Sulaiman
Date Deposited: 23 Jun 2014 08:41
Last Modified: 01 Feb 2018 06:44
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