Author(s)

Kai Wang¹, Ming Fang¹, XiongFeng Chen¹, YunLong Huang¹, YiDi Hu^2*

Affiliation(s)

¹Logistics Support Department, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China. 

²College of Optoelectronic Manufacturing , Zhejiang Industry & Trade Vocational College, Wenzhou 325700, China.

Corresponding Author

YiDi Hu

ABSTRACT

Under the requirement of ensuring the cold load at the end, the load ratio of the chiller units is optimized to achieve the purpose of energy saving and consumption reduction. To achieve this goal, an improved Golden Eagle Optimizer (IGEO) is proposed by adding three strategies to the Golden Eagle Optimizer (GEO). The performance of the IGEO is tested on the CEC2022 test set, and the results show that the IGEO has good solution accuracy. Finally, the chiller load ratio is optimized using IGEO and the remaining seven algorithms. The experimental simulation results in the best optimization results for IGEO with the lowest total energy consumption of the chiller. Compared to the original GEO, the total energy consumption of the solutions solved by IGEO are lower by202.42 KW (9.8%), 54.38 KW (3.6%), and 49.39 KW (4%), saving power consumption.

KEYWORDS

Chiller; Load ratio; Golden Eagle Optimizer; GEO; IGEO; Power consumption

CITE THIS PAPER

Kai Wang, Ming Fang, XiongFeng Chen, YunLong Huang, YiDi Hu. Load ratio optimization of chillers based on improved Golden Eagle Optimizer. World Journal of Information Technology. 2025, 3(1): 31-37. DOI: https://doi.org/10.61784/wjit3020.

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