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Energy optimization of an in-service building chiller plant via extremum seeking control.

Number: pap. 3271

Author(s) : VU H. D., KEATING B. D., ALLEYNE A. G., et al.

Summary

This paper focuses on experimental evaluation and verification of model free extremum seeking control, a real-time gradient descent optimization tool. There have been several publications illustrating the effectiveness of extremum seeking control applied to a variety of heating, ventilation, and air conditioning plants in simulation and on mini-split ductless air conditioning system test beds. However, possibly due to inaccessibility of commercially operational chiller plants for experimentation, an evaluation of extremum seeking has not been documented for a large scale in-service building chiller plant. In this paper, a single input extremum seeking control approach is applied to a 2200RT commercial building chiller plant at Chinatown Point mall in Singapore. The extremum seeking control algorithm selects a set point for the condenser water pump flow rate in order to find the value that minimizes the chiller plant's energy consumption. Evaluation experiments took place over a testing period lasting 5 week days and cycling through morning, daytime, evening, and night modes of operation. Results show that extremum seeking achieves as much as a 1.5% efficiency increase in comparison to a constant-input approach tuned by an expert chiller plant automation engineer; performance improvement is greatest in the off nominal mode where 3 chillers are running than in the nominal mode where 4 chillers are running.

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Pages: 10

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Details

  • Original title: Energy optimization of an in-service building chiller plant via extremum seeking control.
  • Record ID : 30024755
  • Languages: English
  • Source: 2018 Purdue Conferences. 5th International High Performance Buildings Conference at Purdue.
  • Publication date: 2018/07/09

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