1.

Record Nr.

UNINA9910254197903321

Autore

Arghode Vaibhav K

Titolo

Air Flow Management in Raised Floor Data Centers / / by Vaibhav K. Arghode, Yogendra Joshi

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016

ISBN

3-319-25892-3

Edizione

[1st ed. 2016.]

Descrizione fisica

1 online resource (90 p.)

Collana

SpringerBriefs in Thermal Engineering and Applied Science, , 2193-2530

Disciplina

697.9316

Soggetti

Facility management

Energy efficiency

Thermodynamics

Heat engineering

Heat transfer

Mass transfer

Computer hardware

Facility Management

Energy Efficiency

Engineering Thermodynamics, Heat and Mass Transfer

Computer Hardware

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

1. Introduction -- 2. Metrology Tools -- 3. Cooling Air Delivery Through Perforated Tiles -- 4. Cold Aisle Containment -- 5. Other Air Delivery Schemes.

Sommario/riassunto

The Brief discuss primarily two aspects of air flow management in raised floor data centers. Firstly, cooling air delivery through perforated tiles will be examined and influence of the tile geometry on flow field development and hot air entrainment above perforated tiles will be discussed. Secondly, the use of cold aisle containment to physically separate hot and cold regions, and minimize hot and cold air mixing will be presented. Both experimental investigations and computational efforts are discussed and development of computational fluid dynamics



(CFD) based models for simulating air flow in data centers is included. In addition, metrology tools for facility scale air velocity and temperature measurement, and air flow rate measurement through perforated floor tiles and server racks are examined and the authors present thermodynamics-based models to gauge the effectiveness and importance of air flow management schemes in data centers.