PSO-based optimal online operation strategy for multiple chillers energy conservation. (23rd December 2021)

• Record Type: Journal Article
• Authors: An, Jing; Xu, Luyuan; Fan, Zheng; Wang, Kefan; Deng, Qi; Kang, Qi
• Is Part Of: International journal of bio-inspired computation. Volume 18:Number 4(2021)
• Page Start: 229
• Page End: 238
• Publication Date: 2021-12-23
• Subjects: multiple chillers -- energy conservation -- PSO -- two-layer control structure; Biologically-inspired computing -- Periodicals; Computational biology -- Periodicals; 572.0285
• Languages: English
• ISSNs: 1758-0366

Abstract

As a key part of energy conservation in HVAC system, reasonable operation strategy of multiple chillers is essential to most industrial buildings. In traditional chiller control strategies, the operation state of chillers mainly depends on the experience of on-site workers. Therefore, it is important to analyse the characteristics and integrate them into a set of effective control strategy of the chiller system. In this paper, we propose an efficient control strategy for energy conservation of multiple chillers. The system energy consumption and the constrains of the chillers are firstly modelled, and a two-layer control strategy for the chillers is proposed, which is respectively used to control the selection of starting scheme of the chillers under the cooling load at the current time and the setting of control parameter values of the chiller under the selected starting scheme. The core of the two-layer strategy is the use of PSO algorithm. Experimental results have suggested that the strategy can effectively optimise the energy consumption of the multiple chillers system and realise the accurate control in different periods.