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Optimization method for the chiller plant of central air-conditioning system parameters on association rules analysis for energy conservation.

Number: pap. 3482

Author(s) : ZHOU X., WANG B.

Summary

More than 50% of the total energy consumption of central air-conditioning system is consumed by the chiller plant. It is crucial to optimize the operational parameters of chiller plant to improve its operational efficiency, reduce its energy consumption, and enhance the overall energy saving of HVAC. The regular methods of chiller plant optimization could be divided into three categories: Engineering method, mechanism modeling and artificial intelligence modeling. In recent years, with the development of the internet of things, the monitor and control platform for HVAC provides mass ground truth data for data mining of chiller plant optimization. Compared with the other methods, the data mining method is more simple, wide applicable and practical. In this paper, the association rule data mining method is utilized to optimize the operational parameters of the chiller plant. One of the chillers of the chiller plant in a large-scale shopping mall in Guangzhou is taken as the case study. After historical data pre-processing, e. g data cleaning, selection of optimization parameters and discretization, a number of association rules are discovered between the optimal energy efficiency and the operational parameters of the chiller plant under various operational conditions by Apriori algorithm. Finally, the simulation result shows that the total energy consumption of the chillers reduced 13.33% and 11.6% than previous result in the transition season and summer respectively by adopting the association rules. The simulation results verify the validity of the mining rules. This method excavates the energy saving potential of chiller plant from the point of view of Engineering practice, which is suitable for the chiller plant with a big sets of operation data. Furthermore, this method could be also used for optimization of HVAC.

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Pages: 9

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Details

  • Original title: Optimization method for the chiller plant of central air-conditioning system parameters on association rules analysis for energy conservation.
  • Record ID : 30024891
  • Languages: English
  • Source: 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Publication date: 2018/07/09

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