DocumentCode
574616
Title
Extremum seeking control of cooling tower for self-optimizing efficient operation of chilled water systems
Author
Xiao Li ; Yaoyu Li ; Seem, J.E. ; Pengfei Li
Author_Institution
Univ. of Wisconsin - Milwaukee, Milwaukee, WI, USA
fYear
2012
fDate
27-29 June 2012
Firstpage
3396
Lastpage
3401
Abstract
This paper presents an extremum seeking control (ESC) scheme for energy efficient operation of chilled-water system, and Modelica based dynamic simulation models for demonstrating the effectiveness of the proposed control strategy. The simulated plant consists of a water-cooled screw chiller and a mechanical-draft counter-flow wet cooling tower. The ESC scheme takes the total power consumption of chiller compressor and tower fan as feedback, and uses the fan speed setting as control input. The inner-loop controllers for the chiller operation include two PI control loops for regulating the evaporator superheat and the chilled water temperature. Simulation was conducted for different scenarios. The simulation results demonstrated the effectiveness of the proposed ESC strategy, and the potential for energy saving is also evaluated. Also investigated is the ESC windup issue caused by the limitation of the fan´s maximum operation speed. A back-calculation anti-windup ESC scheme is applied and its effectiveness is validated by simulation results.
Keywords
PI control; compressors; cooling towers; fans; optimal control; ESC windup issue; Modelica; PI control loops; backcalculation antiwindup ESC scheme; chilled water systems; chilled water temperature; chilled-water system; chiller compressor; dynamic simulation models; energy efficient operation; evaporator superheat; extremum seeking control; fan speed setting; inner-loop controllers; mechanical-draft counter-flow wet cooling tower; self-optimizing efficient operation; total power consumption; tower fan; water-cooled screw chiller; Atmospheric modeling; Biological system modeling; Cooling; Fasteners; Heat transfer; Poles and towers;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2012
Conference_Location
Montreal, QC
ISSN
0743-1619
Print_ISBN
978-1-4577-1095-7
Electronic_ISBN
0743-1619
Type
conf
DOI
10.1109/ACC.2012.6315202
Filename
6315202
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