Online optimization method of cooling water system based on the heat transfer model for cooling tower

Keyan Ma, Mingsheng Liu and Jili Zhang

Energy, 2021, vol. 231, issue C

Abstract: The demand for the optimization of cooling water systems to reduce energy consumption is increasing nowadays. Based on the heat transfer performance of a cooling tower, this paper proposed a heat transfer model for cooling towers. To verify the accuracy of the model and to demonstrate the applicability of off-design conditions, an experimental system for evaluating the air/water heat transfer performance of cooling towers was established. The experimental results showed that the proposed model for cooling towers had an ability of high-accuracy prediction and adaptability to off-design conditions. Based on the proposed model for cooling towers, the mathematical model of cooling water system online optimization is established. The hybrid programming particle swarm optimization (HP–PSO) algorithm to optimize the operation of cooling water systems was proposed to solve the online optimization problem of continuous variables and discrete variables in cooling water systems. The advantages of the HP-PSO algorithm were verified by the simulation of a small data center. The simulation results showed that the proposed online optimization method of cooling water systems can reduce energy consumption by 15.3% comparing with other method. This paper can provide an important reference for the operation optimization of cooling water systems in practical engineering.

Keywords: Cooling tower; Cooling water system; HP-PSO algorithm; Online optimization method; Energy-saving (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:231:y:2021:i:c:s0360544221011440

DOI: 10.1016/j.energy.2021.120896

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