Energy‐efficient operation of indirect adiabatic data center cooling systems via Newton‐like phasor extremum seeking control

Summary This paper considers the problem of optimizing the operation of Indirect Adiabatic Cooling (IAC) systems with application to data centers. Optimal operation is achieved when the required cooling demand is satisfied at the minimum energy cost. For this purpose, we design a supervisory control...

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Bibliographic Details
Published inInternational journal of adaptive control and signal processing Vol. 35; no. 7; pp. 1298 - 1315
Main Authors Lionello, Michele, Lucchese, Riccardo, Rampazzo, Mirco, Guay, Martin, Atta, Khalid
Format Journal Article
LanguageEnglish
Published Bognor Regis Wiley Subscription Services, Inc 01.07.2021
Subjects
Adiabatic flow
Automatic Control
Control systems design
Cooling loads
Cooling systems
Data centers
Energy costs
extremum seeking control
indirect adiabatic cooling
Newton‐like
Optimization
Phasors
Reglerteknik
Supervisory control
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Summary:Summary This paper considers the problem of optimizing the operation of Indirect Adiabatic Cooling (IAC) systems with application to data centers. Optimal operation is achieved when the required cooling demand is satisfied at the minimum energy cost. For this purpose, we design a supervisory control system, where the higher layer determines the optimal set‐points for the local controllers by employing an Extremum Seeking Control (ESC) scheme. In particular, we consider a Newton‐like phasor ESC, which augments the derivative estimator underlying the phasor approach to capture also the Hessian of the plant index and then it uses these estimates to steer the system along a Newton‐like direction. The effectiveness of the considered approach is tested in simulation by exploiting a Matlab‐based simulation environment including an IAC system and a computer room.
ISSN:0890-6327
1099-1115
1099-1115
DOI:10.1002/acs.3223