Data Center Energy Optimization Under Different Dynamic Pricing Schemes

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

doi:10.1109/SEST57387.2023.10257537

Data Center Energy Optimization Under Different Dynamic Pricing Schemes

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

Bilişim Enstitüsü

Istanbul Technical University

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

Özet

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.

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
ISBN (Elektronik)	9798350397901
DOI'lar	https://doi.org/10.1109/SEST57387.2023.10257537
Yayın durumu	Yayınlandı - 2023
Etkinlik	2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 - Mugla, Turkey Süre: 4 Eyl 2023 → 6 Eyl 2023

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2023 International Conference on Smart Energy Systems and Technologies, SEST 2023
Ülke/Bölge	Turkey
Şehir	Mugla
Periyot	4/09/23 → 6/09/23

Bibliyografik not

Publisher Copyright:
© 2023 IEEE.

Finansman

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

Finansörler	Finansör numarası
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu	220M154

BM SKH

Bu sonuç, aşağıdaki Sürdürülebilir Kalkınma Hedefine/Hedeflerine katkıda bulunur

Belgeye Erişim

10.1109/SEST57387.2023.10257537

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

Nkwawir, B. W., Erden, H. S., & Duman, A. C. (2023). Data Center Energy Optimization Under Different Dynamic Pricing Schemes. In 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 (2023 International Conference on Smart Energy Systems and Technologies, SEST 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SEST57387.2023.10257537

Nkwawir, Beltus Wiysobunri ; Erden, Hamza Salih ; Duman, A. Can. / Data Center Energy Optimization Under Different Dynamic Pricing Schemes. 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Smart Energy Systems and Technologies, SEST 2023).

@inproceedings{f7dad52806d84e599a16be2755d3c309,

title = "Data Center Energy Optimization Under Different Dynamic Pricing Schemes",

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.",

keywords = "data center, demand response, energy management, renewable energy",

author = "Nkwawir, {Beltus Wiysobunri} and Erden, {Hamza Salih} and Duman, {A. Can}",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023 ; Conference date: 04-09-2023 Through 06-09-2023",

year = "2023",

doi = "10.1109/SEST57387.2023.10257537",

language = "English",

series = "2023 International Conference on Smart Energy Systems and Technologies, SEST 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2023 International Conference on Smart Energy Systems and Technologies, SEST 2023",

address = "United States",

}

Nkwawir, BW, Erden, HS & Duman, AC 2023, Data Center Energy Optimization Under Different Dynamic Pricing Schemes. in 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023. 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023, Institute of Electrical and Electronics Engineers Inc., 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023, Mugla, Turkey, 4/09/23. https://doi.org/10.1109/SEST57387.2023.10257537

Data Center Energy Optimization Under Different Dynamic Pricing Schemes. / Nkwawir, Beltus Wiysobunri; Erden, Hamza Salih; Duman, A. Can.
2023 International Conference on Smart Energy Systems and Technologies, SEST 2023. Institute of Electrical and Electronics Engineers Inc., 2023. (2023 International Conference on Smart Energy Systems and Technologies, SEST 2023).

Araştırma sonucu: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › bilirkişi

TY - GEN

T1 - Data Center Energy Optimization Under Different Dynamic Pricing Schemes

AU - Nkwawir, Beltus Wiysobunri

AU - Erden, Hamza Salih

AU - Duman, A. Can

PY - 2023

Y1 - 2023

N2 - 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.

AB - 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.

KW - data center

KW - demand response

KW - energy management

KW - renewable energy

UR - http://www.scopus.com/inward/record.url?scp=85174309737&partnerID=8YFLogxK

U2 - 10.1109/SEST57387.2023.10257537

DO - 10.1109/SEST57387.2023.10257537

M3 - Conference contribution

AN - SCOPUS:85174309737

T3 - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

BT - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023

Y2 - 4 September 2023 through 6 September 2023

ER -

Nkwawir BW, Erden HS, Duman AC. Data Center Energy Optimization Under Different Dynamic Pricing Schemes. In 2023 International Conference on Smart Energy Systems and Technologies, SEST 2023. Institute of Electrical and Electronics Engineers Inc. 2023. (2023 International Conference on Smart Energy Systems and Technologies, SEST 2023). doi: 10.1109/SEST57387.2023.10257537

Data Center Energy Optimization Under Different Dynamic Pricing Schemes

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Finansman

BM SKH

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap