Optimizing the total energy consumption and CO2 emissions by distributing computational workload among worldwide dispersed data centers

Frank T. Van Schie, Vojtěch Zavřel, J. Ignacio Torrens, T. F.W. Hundertmark, Jan L.M. Hensen

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Abstract

Major internet service providers have built and are currently building the world's largest data centres (DCs), which has already resulted in significant global energy consumption. Energy saving measures, from chip to building level, have been introduced gradually in recent decades. However, there is further potential for savings by assessing the performance of different DCs on a wider scale and evaluating information technology (IT) workload distribution strategies among these DCs. This paper proposes a methodology to optimize the electricity consumption and CO2 emissions by distributing IT workload across multiple imaginary DCs. The DCs are modelled and controlled in a virtual test environment based on a building energy simulation (BES) tool (TRNSYS). A controller tool (Matlab) is used to support testing and tuning of the optimization algorithm. A case study, consisting of the distribution of IT workload across four different types of data centers in multiple locations with different climate conditions, is presented. The case study will illustrate.

Original languageEnglish
Title of host publication14th International Conference of IBPSA - Building Simulation 2015, BS 2015, Conference Proceedings
EditorsJyotirmay Mathur, Vishal Garg
PublisherInternational Building Performance Simulation Association (IBPSA)
Pages1118-1125
Number of pages8
ISBN (Print)978-93-5230-118-8
Publication statusPublished - 1 Dec 2015
Event14th Conference of International Building Performance Simulation Association, BS 2015 - Hyderabad, India
Duration: 7 Dec 20159 Dec 2015

Conference

Conference14th Conference of International Building Performance Simulation Association, BS 2015
CountryIndia
CityHyderabad
Period7/12/159/12/15

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