Demand Response for Reducing Coincident Peak Loads in Data Centers Lukawski, Maciej Tester, Jefferson W. Moore, Michal C. Krol, Pawel Anderson, C. Lindsay 2019-01-03T00:15:26Z 2019-01-03T00:15:26Z 2019-01-08
dc.description.abstract Demand response is a key aspect of managing uncertainty and reducing peak loads in electric grids. This paper considers the capability of a datacenter to provide responsiveness to grid signals through cooling system control. The strategy is based on pre-cooling the center for provision of load reduction during demand response events, and is evaluated using a numerical model of a cooling system, validated against experimental data obtained from a small telecommunication data center. The pre-cooling strategy is applicable to a wide-range of demand response programs, but is illustrated on the example of an established critical peak pricing program; specifically the 4 coincident peak (4CP) program in the ERCOT ISO. Precooling reduced the annual cost of electricity used by the cooling system by 7.8% to 8.6%, while increasing the total energy use only by 0.05%. This translated into 2% to 2.6% reduction in the electric bill of the whole data center. The developed demand response strategy is suitable for data centers with power densities below 500 W/m2 which do not use server air containment systems.
dc.format.extent 11 pages
dc.identifier.doi 10.24251/HICSS.2019.413
dc.identifier.isbn 978-0-9981331-2-6
dc.language.iso eng
dc.relation.ispartof Proceedings of the 52nd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject Integrating Distributed or Renewable Resources
dc.subject Electric Energy Systems
dc.subject Demand Response, HVAC Control, Pre-cooling, Critical Peak Pricing, Responsive Loads
dc.title Demand Response for Reducing Coincident Peak Loads in Data Centers
dc.type Conference Paper
dc.type.dcmi Text
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