Hava Soğutmalı Veri Merkezi Soğutma Sistemleri ve Güncel Gelişmeler (Air-cooled data-centre cooling systems and recent developments)

Overview

This document is a review article by Zafer Yavuz Aksöz, published in 2025 in Tesisat Mühendisliği (Volume 33, Issue 206, ISSN 1300-3399), the journal of the Chamber of Mechanical Engineers (TMMOB MMO). Its subject is air-cooled data-centre cooling systems. The record rests only on the repository abstract; the full text of the article was not read.

The review covers CRAC/CRAH room cooling, hot/cold-aisle designs, in-row (between-cabinet) and rack-level cooling as increasingly preferred local solutions, waste-heat recovery, and both direct and indirect air-side economiser systems. It discusses supply and return air design and airflow optimisation with control systems, CFD, AI and machine learning. The publication is a practice-oriented review aimed at the mechanical engineering community in Turkey; the author is Zafer Yavuz Aksöz.

The article also summarises standards on data-centre cooling and room air quality, and metrics for global versus local cooling and energy effectiveness. According to the abstract, CFD, AI and machine-learning methods combined with control systems raise data-centre energy efficiency through supply and return air optimisation. Related documents include ASHRAE Thermal Guidelines and ASHRAE 90.4. This variety shows that air cooling is not a single method but is applied through different topologies depending on density and climate.

In conclusion, the article states that air cooling remains preferred due to lower installation and maintenance cost. As a limit, since this record rests on the abstract, numerical values, comparisons and case data are not covered. As a Turkish-language source, it is an introduction to the terminology of the local engineering community and to current air-cooling approaches; for detailed design values, the relevant standards and the full text should be consulted.

Key points

1. Covers CRAC/CRAH room cooling plus hot/cold-aisle designs.
2. In-row (between-cabinet) and rack-level cooling are treated as increasingly preferred local solutions.
3. Reviews waste-heat recovery and both direct and indirect air-side economiser systems.
4. CFD, AI and machine-learning methods combined with control systems raise energy efficiency through supply/return air optimisation.
5. Summarises standards for data-centre cooling and room air quality, and metrics for global vs local cooling and energy effectiveness.
6. Conclusion: air cooling remains preferred due to lower installation and maintenance cost.
7. Tesisat Mühendisliği, Volume 33, Issue 206; based on the repository abstract only.

Using it in design

• Provide a cooling-topology picker (room, row, rack, economiser direct/indirect) with Turkish labels.
• In the airflow module, report local metrics (for example RCI/RTI-type indices) alongside PUE.
• Verify the supply and return air layout of an air-cooled design with CFD.
• Note the limits of air cooling for high-density racks together with liquid cooling alternatives.

Who should read it

Mechanical engineers designing data-centre cooling in Turkey and those seeking a Turkish-language introduction to current air-cooling approaches.

Related standards

• ASHRAE Thermal Guidelines
• ASHRAE 90.4

Publication details

Authors

Zafer Yavuz Aksöz

Publisher

TMMOB Makina Mühendisleri Odası (MMO) - Tesisat Mühendisliği Dergisi

Year

2025

Document number

Tesisat Mühendisliği, Cilt 33, Sayı 206; ISSN 1300-3399

Document language

English

Source type

Industry body

Access

Free to read

Licence

Copyright retained; citation only — the publisher’s terms apply to the original document

Citation