Title: Research on energy-saving control and optimisation of air conditioning system based on genetic algorithm

Authors: Mali Zheng

Addresses: College of Science, Bengbu University, Bengbu, Anhui 233030, China

Abstract: Aiming at the unsatisfactory effect of traditional air-conditioning energy consumption control method, an optimisation method of energy reduction control of building air-conditioning system based on genetic algorithm was proposed. Select the corresponding input variables and analyse the correlation between each variable and system energy consumption. The Least Squares Support Vector Machine (LSSVM) method is used to control the air supply, air return temperature and energy conversion between systems. In order to achieve a higher energy saving goal, genetic algorithm is used to optimise the scheme. Through the simulation and experimental test of this method, the results show that the total energy consumption of the optimised air-conditioning system reduces about 23.4 kwh, which verifies the effectiveness of this method.

Keywords: air conditioning system; energy reduction control; optimisation; genetic algorithm.

DOI: 10.1504/IJGEI.2021.113453

International Journal of Global Energy Issues, 2021 Vol.43 No.1, pp.38 - 54

Received: 24 May 2019
Accepted: 17 Jun 2020
Published online: 05 Mar 2021 *

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