Open Access

ARTICLE

Optimization of Chiller Loading Problem Using Improved Golden Jackal Optimization Algorithm Leads to Reduction in Energy Consumption

by Na Dong^1,*, Xiao Yang², Nasser Yousefi^3,4,*

1 School of Mechanical Engineering, Henan Institute of Technology, Xinxiang, 453000, China
2 School of Electrical Engineering and Automation, Henan Institute of Technology, Xinxiang, 453000, China
3 Karaj Branch, Islamic Azad University, Karaj, 3149968111, Iran
4 College of Technical Engineering, The Islamic University, Najaf, 54001, Iraq

* Corresponding Authors: Na Dong. Email: ; Nasser Yousefi. Email:

(This article belongs to the Special Issue: Recent Developments in Renewable Energy)

Energy Engineering 2023, 120(11), 2565-2583. https://doi.org/10.32604/ee.2023.029862

Received 11 March 2023; Accepted 24 April 2023; Issue published 31 October 2023

Abstract

This paper proposes a modified golden jackal optimization (IGJO) algorithm to solve the OCL (which stands for optimal cooling load) problem to minimize energy consumption. In this algorithm, many tools have been developed, such as numerical visualization, local field method, competitive selection method, and iterative strategy. The IGJO algorithm is used to improve the research capabilities of the algorithm in terms of global tuning and rotation speed. In order to fully utilize the effectiveness of the proposed algorithm, three famous examples of OCL problems in basic ventilation systems were studied and compared with some previously published works. The results show that the IGJO algorithm can find solutions equal to or better than other methods. Underpinning these studies is the need to reduce energy consumption in air conditioning systems, which is a critical business and environmental decision. The Optimal Chiller Load (OCL) problem is well-known in the industry. It is the best method of operation for the refrigeration plant to satisfy the requirement of cooling. In order to solve the OCL problem, an improved Golden Jackal optimization algorithm (IGJO) was proposed. The IGJO algorithm consists of a number of parts to improve the global optimization and rotation speed. These studies are intended to address more effectively the issue of OCL, which results in energy savings in air-conditioning systems. The performance of the proposed IGJO algorithm is evaluated, and the results are compared with the results of three known OCL problems in the ventilation system. The results indicate that the IGJO method has the same or better optimization ability as other methods and can improve the energy efficiency of the system’s cold air.

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Keywords

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