NDLI: Realtime setpoint optimization with time-varying extremum seeking for vapor compression systems

Content Provider	IEEE Xplore Digital Library
Author	Burns, D.J. Weiss, W.K. Guay, M.
Copyright Year	2015
Description	Author affiliation: Dept. of Chem. Eng., Queen's Univ., Kingston, ON, Canada (Weiss, W.K.; Guay, M.) \|\| Mechatron. Group, Mitsubishi Electr. Res. Labs., Cambridge, MA, USA (Burns, D.J.)
Abstract	In many formulations of controller architectures for variable-speed vapor compression machines, evaporator superheat temperature is commonly selected as a regulated variable due to its correlation with cycle efficiency. Further, the superheat temperature setpoint is conveniently taken as a constant value over the wide range of operating conditions. However, direct measurement of superheat is not always available, and estimates of superheat have limited robustness. Therefore identifying alternate signals in the control of vapor compression machines that correlate to efficiency is desired. In this paper, we consider a model-free extremum seeking algorithm that adjusts compressor discharge temperature setpoints in order to optimize energy efficiency. While perturbation-based extremum seeking methods have been known for some time, they suffer from slow convergence rates-a problem emphasized in application by the long time constants associated with thermal systems. Our method uses a new algorithm (time-varying extremum seeking), which has dramatically faster and more reliable convergence properties. In particular, we regulate the compressor discharge temperature using setpoints selected from a model-free time-varying extremum seeking algorithm. We show that the relationship between compressor discharge temperature and power consumption is convex (a requirement for this class of realtime optimization), and use time-varying extremum seeking to drive these setpoints to values that minimize power. The results are compared to the traditional perturbation-based extremum seeking approach. Experiments are performed demonstrating discharge temperature optimization from 72°C to 62°C for a particular set of experimental conditions where the power consumption is decreased from 525 W to 450 W, resulting in an increase in observed coefficient of performance (COP) of 14%.
Starting Page	974
Ending Page	979
File Size	934780
Page Count	6
File Format	PDF
e-ISBN	9781479986842
DOI	10.1109/ACC.2015.7170860
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-01
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	American Automatic Control Council(AACC)
Subject Keyword	Discharges (electric) Temperature measurement Power demand Optimization Convergence Heating
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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