Küçük bir veri merkezinin iklimlendirme ünitelerine yönelik baypas yönteminin enerji ve ekonomik analizi

Hamza Salih Erden*, Ismail Türkmen

*Bu çalışma için yazışmadan sorumlu yazar

Araştırma sonucu: ???type-name???Makalebilirkişi

Özet

Earlier optimization studies utilized reduced-order modeling approach combining flow network modeling at room level and thermodynamic modeling at the cooling infrastructure level to investigate the energy saving potential of the computer room air handling (CRAH) bypass (BP) method for data centers. Flow network modeling worked well in predicting the cooling infrastructure power use at various BP fractions. While existing studies are either on hypothetical data centers or experimental setups, there is no considerable work on the feasibility of the method in real and operational data center. Economic requirements of the method is another aspect missing in the literature. This study includes assessments on the feasibility of the CRAH BP methods (forced and induced) in an operational data center using reduced-order modeling approaches suggested in the literature. As a result of the energy and economic analysis of various scenarios, it has been concluded that the feasibility of the CRAH BP method is directly related to the number of fans required by the design and recommendations for application have been proposed.

Tercüme edilen katkı başlığıEnergy and economic analysis of the bypass method for the computer room air conditioning units of a small data center
Orijinal dilTürkçe
Sayfa (başlangıç-bitiş)1883-1898
Sayfa sayısı16
DergiJournal of the Faculty of Engineering and Architecture of Gazi University
Hacim37
Basın numarası4
DOI'lar
Yayın durumuYayınlandı - 2022

Bibliyografik not

Publisher Copyright:
© 2022 Gazi Universitesi Muhendislik-Mimarlik. All rights reserved.

Finansman

The authors acknowledge the financial support provided by the Scientific and Technological Research Council of Turkey (TUBITAK) with project 118M238.

FinansörlerFinansör numarası
TUBITAK118M238
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu

    Keywords

    • cooling infrastructure
    • data centers
    • economics
    • Energy efficiency
    • modeling & optimization

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