Applied thermal engineering2022,Vol.20814.DOI:10.1016/j.applthermaleng.2022.118150

Chiller-pump system optimisation method for minimum energy operation based on multi-objective evolutionary algorithm

Xing, Shanshuo Zhang, Jili
Applied thermal engineering2022,Vol.20814.DOI:10.1016/j.applthermaleng.2022.118150

Chiller-pump system optimisation method for minimum energy operation based on multi-objective evolutionary algorithm

Xing, Shanshuo 1Zhang, Jili1
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作者信息

  • 1. Dalian Univ Technol
  • 折叠

Abstract

The operation optimisation of chilled water systems, comprising chillers and pumps, should consider variations in the cooling demand. Although a number of approaches have been proposed, achieving an overall optimum in actual operation is complicated. Herein, we propose a hybrid optimisation method for a chiller-pump system in parallel-arranged systems with non-identical chillers and pumps, which are commonly applied in engineering practice but are rarely considered in the literature. A holistic optimisation based on a multi-objective evolutionary algorithm was conducted for the overall minimum energy by solving the trade-off problem between chillers and pumps. The overall energy consumption and system flow violation were simultaneously minimised by optimising practical parameters, including binary (alpha(chiller,i), alpha(pump,j)) and continuous ((Q) over dot(chiller,i), omega(j), (m) over dot(chw,j)) variables. The proposed method was evaluated via a simulation. The results suggest that the optimisation is rational, and energy saving ratios of 7.3%, 5.3%, and 34.0% for overall, chillers, and pumps, respectively, can be achieved relative to the baseline.

Key words

HVAC/Chiller -pump system/Optimisation/Multi-objective evolutionary algorithm/Energy saving

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出版年

2022
Applied thermal engineering

Applied thermal engineering

EISCI
ISSN:1359-4311
被引量8
参考文献量33
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