Smart distribution of IT load in energy efficient data centers with focus on cooling systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Researchers

Research units

  • Luleå University of Technology
  • ABB Corporate Research

Abstract

Cooling system is the second most energy-consuming part of a modern data center; herewith it often consumes energy inefficiently. Therefore, any possibility allowing to reduce energy consumption of cooling systems should be studied and put into practice if successful. In this paper, the idea about impact of IT load distribution between servers on energy consumption of data center cooling system is proposed. The idea is in distribution of total IT load between servers according to the location of the servers inside racks. To test idea, the model simulating the thermal behaviour and energy consumption of a real data center located in Northern Sweden is developed. Comparing the data obtained from the real plant and the data generated at the simulation shows the reliability of the model. Two strategies of IT load distribution between servers are considered, and their impact on energy consumption of cooling system is demonstrated.

Details

Original languageEnglish
Title of host publicationProceedings of the 44th Annual Conference of the IEEE Industrial Electronics Society, IECON 2018
Publication statusPublished - 26 Dec 2018
MoE publication typeA4 Article in a conference publication
EventAnnual Conference of the IEEE Industrial Electronics Society - Washington, United States
Duration: 21 Oct 201823 Oct 2018
Conference number: 44

Publication series

NameProceedings of the Annual Conference of the IEEE Industrial Electronics Society
PublisherIEEE
ISSN (Print)1553-572X

Conference

ConferenceAnnual Conference of the IEEE Industrial Electronics Society
Abbreviated titleIECON
CountryUnited States
CityWashington
Period21/10/201823/10/2018

    Research areas

  • Cooling systems, Data center, Energy consumption, IT load distribution, Mathematical modelling, Simulation, Thermal behaviour

ID: 32397245