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Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities

Cilt: 4 Sayı: 2 30 Eylül 2024
Canan Şişman Korkmaz *, Alper Terciyanlı , Abdulhameed Aboumadi , İlayda Aygün
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Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities

Öz

Carbon dioxide (CO2) is the main greenhouse emission emitted through human activities and is present within the atmosphere as a part of the Earth’s carbon cycle. The increase in carbon emission has many negative effects such as causing climate change. Many factors play a role in the increase in this worldwide carbon emission, especially the structures that emerge with the development of technology, such as data centres, which have an important role in increasing carbon emissions. Artificial-Intelligence-Augmented Cooling System for Small Data Centres (ECO-Qube) project focuses on edge data centres since they are important because of their energy-saving potential. Several Key Performance Indicators (KPIs) are developed to evaluate the energy efficiency of the data centres and their environmental sustainability. The ECO-Qube project determines an assessment methodology for data centres following the most important standards like ASHRAE TC 9.9 2021, EN50600 Standard Series, and the EU Code of Conduct. The main KPIs used in this project are Power Usage Effectiveness (PUE), Renewable Energy Factor (REF), Energy Reuse Factor (ERF), Primary Energy Savings (PES), CO2 Savings, and performance Per Watt (PPW). These KPIs are sufficient for the real-time assessment of data centres within this project and can give a good idea of the improvements achieved. Digital technologies such as EMSs (Energy Management Systems) are part of the solution to reduce energy consumption, as they enable more efficient use of resources. From this perspective, an EMS has been designed in the scope of this project to track the energy demand, operate the energy supply in cooperation with the building/district’s EMS, and calculate the project’s KPIs which enables precise evaluation of data centre’s current state and the effects of upgrades done to a data centre.

Anahtar Kelimeler

Data centres, Carbon footprint, EMS

Destekleyen Kurum

European Union’s Horizon 2020 research and innovation programme Scientific and Technological Research Institution of Türkiye (TÜBİTAK)

Proje Numarası

956059 ve 119C128

Teşekkür

The Eco-QUBE EMS developing activities have been realized within “Artificial-Intelligence-Augmented Cooling System for Small Data Centres (ECO-Qube)” and has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No.956059. The co-author acknowledges the support given by the Scientific and Technological Research Institution of Türkiye (TÜBİTAK) under project agreement No.119C128.

Kaynakça

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  2. Guitart, Jordi (2017). “Toward sustainable data centers: a comprehensive energy management strategy”, Computing, Volume 99, No 6, p597.
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  5. Aujla, GaganGeet, Neeraj Kumar. (2018). “MEnSuS: An efficient scheme for energy management with sustainabi- lity of cloud data centers in edge–cloud environment.” Future Generation Computer Systems Volume 86, p 1279
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  7. ECO-Qube, D3.4 (2022), “Green energy management systems for edge computing applications”. [Online]. Available: https:/ /eco-qube.eu/publications/. [Accessed July 2022].
  8. M. Acton, P. Bertoldi and J. Booth, “https:/ /e3p.jrc.ec.europa.eu/publications/2021-best-practice-guideli- nes-eu-code-conduct-data-centre-energy-efficiency,” [Online]. Available: 2021 Best Practice Guidelines for the EU Code of Conduct on Data Centre Energy Efficiency. [Accessed 30 May 2022].
  9. M. Roser and H. Ritchie, “CO2 Emissions,” Our World in Data, [Online]. Available: https:/ /ourworldindata. org/co2-emissions. [Accessed September 2021].
  10. ECO-Qube, D6.1 (2021), “ECO-Qube Assessment Methodology and Review”. [Online]. Available: https:/ / eco-qube.eu/publications/. [Accessed July 2022].

Kaynak Göster

APA
Şişman Korkmaz, C., Terciyanlı, A., Aboumadi, A., & Aygün, İ. (2024). Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities. OMÜ Mühendislik Bilimleri ve Teknolojisi Dergisi, 4(2), 49-62. https://izlik.org/JA35YA47RD
AMA
1.Şişman Korkmaz C, Terciyanlı A, Aboumadi A, Aygün İ. Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities. OMUJEST. 2024;4(2):49-62. https://izlik.org/JA35YA47RD
Chicago
Şişman Korkmaz, Canan, Alper Terciyanlı, Abdulhameed Aboumadi, ve İlayda Aygün. 2024. “Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities”. OMÜ Mühendislik Bilimleri ve Teknolojisi Dergisi 4 (2): 49-62. https://izlik.org/JA35YA47RD.
EndNote
Şişman Korkmaz C, Terciyanlı A, Aboumadi A, Aygün İ (01 Eylül 2024) Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities. OMÜ Mühendislik Bilimleri ve Teknolojisi Dergisi 4 2 49–62.
IEEE
[1]C. Şişman Korkmaz, A. Terciyanlı, A. Aboumadi, ve İ. Aygün, “Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities”, OMUJEST, c. 4, sy 2, ss. 49–62, Eyl. 2024, [çevrimiçi]. Erişim adresi: https://izlik.org/JA35YA47RD
ISNAD
Şişman Korkmaz, Canan - Terciyanlı, Alper - Aboumadi, Abdulhameed - Aygün, İlayda. “Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities”. OMÜ Mühendislik Bilimleri ve Teknolojisi Dergisi 4/2 (01 Eylül 2024): 49-62. https://izlik.org/JA35YA47RD.
JAMA
1.Şişman Korkmaz C, Terciyanlı A, Aboumadi A, Aygün İ. Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities. OMUJEST. 2024;4:49–62.
MLA
Şişman Korkmaz, Canan, vd. “Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities”. OMÜ Mühendislik Bilimleri ve Teknolojisi Dergisi, c. 4, sy 2, Eylül 2024, ss. 49-62, https://izlik.org/JA35YA47RD.
Vancouver
1.Canan Şişman Korkmaz, Alper Terciyanlı, Abdulhameed Aboumadi, İlayda Aygün. Green Energy Management System for Energy Efficiency Analysis of Edge Computing Facilities. OMUJEST [Internet]. 01 Eylül 2024;4(2):49-62. Erişim adresi: https://izlik.org/JA35YA47RD