Title :
Optimal and distributed automatic discrete control of air conditioning units in data centers
Author :
Bermudez, S.A. ; Hamann, H.F. ; Klein, L.J. ; Marianno, F.J. ; Claassen, A.
Author_Institution :
IBM, Yorktown Heights, NY, USA
Abstract :
In order to prevent potential failures due to lack of cooling systems, data centers are fitted with redundant air conditioning units. Even though such extra elements provide safety and could be turned off, they are typically on and underutilized, thus wasting energy. We propose a distributed and automatic control of air conditioning units based on dense environmental sensing and data center events handling system that prevent hot spots formation or server/device failures. The control is optimal in the sense of determining and controlling the operation of a set with the minimum number of active air conditioning units while preserving the specified data center cooling capacity. In addition, we present an implementation of such system for a discrete state (on/off) control of air conditioning units in a medium sized data center.
Keywords :
air conditioning; computer centres; discrete systems; distributed control; optimal control; redundancy; system recovery; cooling systems; data center cooling capacity; data center event handling system; discrete state control; distributed automatic discrete control; environmental sensing; hotspot formation; medium sized data center; on-off control; optimal control; redundant air conditioning units; server-device failures; Air conditioning; Servers; Software; Temperature measurement; Temperature sensors; Distributed control; air conditioning unit control; data centers; energy efficiency;
Conference_Titel :
Thermal Measurement, Modeling & Management Symposium (SEMI-THERM), 2015 31st
Conference_Location :
San Jose, CA
DOI :
10.1109/SEMI-THERM.2015.7100132