Data Center Energy Optimization Under Different Dynamic Pricing Schemes

Beltus Wiysobunri Nkwawir, Hamza Salih Erden, A. Can Duman

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

Abstract

The increasing power demands in data centers (DCs), driven by an expanding variety of digital applications and a growing number of Internet users, necessitate alternative strategies to curtail DC energy consumption expenses. In the realm of the DC facility, opportunities lie in the availability of renewable energy sources, uninterruptible power supply battery systems, and the varying nature of IT workloads. In this paper, a mixed-integer linear programming energy management system is proposed to exploit on-site renewables, existing energy storage, and IT workload flexibility to optimize electricity expenditure for a hypothetical small-scale DC in Istanbul, Turkey. The proposed EMS model is evaluated under four pricing schemes: real-time pricing (RTP), time-of-use (TOU), critical peak pricing (CPP), and flat rate pricing (FRP). An annual cost savings analysis demonstrates considerable cost reduction advantages by the existing TOU pricing in Turkey (15.7%) and artificially generated tariffs of CPP and RTP (23.1% and 22.7%, respectively) to DC operators in comparison to the FRP.

Original languageEnglish
Title of host publication2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350397901
DOIs
Publication statusPublished - 2023
Event2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 - Mugla, Turkey
Duration: 4 Sept 20236 Sept 2023

Publication series

Name2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

Conference

Conference2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
Country/TerritoryTurkey
CityMugla
Period4/09/236/09/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Funding

The authors acknowledge the financial support provided by the Scientific and Technological Research Council of Türkiye (TUBITAK) with project 220M154.

FundersFunder number
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu220M154

    Keywords

    • data center
    • demand response
    • energy management
    • renewable energy

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