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Article

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Title

CFD4DC: Automated CFD framework for heat transfer analysis of data centers

Authors

[ 1 ] Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ 2 ] Poznańskie Centrum Superkomputerowo-Sieciowe | [ 3 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ 4 ] Instytut Inżynierii Środowiska i Instalacji Budowlanych, Wydział Inżynierii Środowiska i Energetyki, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee

Scientific discipline (Law 2.0)

[2.9] Mechanical engineering
[2.10] Environmental engineering, mining and energy

Year of publication

2026

Published in

Applied Thermal Engineering

Journal year: 2026 | Journal volume: vol. 283

Article type

scientific article

Publication language

english

Keywords
EN
  • Heat transfer
  • CFD
  • Data center
  • Validation
  • Automation
  • OpenFOAM
  • CFD4DC
Abstract

EN Computational Fluid Dynamics (CFD) is increasingly applied to the thermal analysis of air-cooled data centers, particularly for retrofitting and cooling optimization. While CFD provides detailed insights into airflow and heat transfer, its use remains time-consuming and labor-intensive. This study introduces CFD4DC (Computational Fluid Dynamics for Data Centers), an in-house framework that automates the preparation and execution of CFD simulations for data center thermal management. The automation substantially reduces and simplifies required input data, offering advantages for both scientific studies and industrial applications. The framework is validated in a two-rack micro data center against experimental measurements, achieving a mean absolute error of 0.63 °C in the inlet temperatures of servers and air conditioners. These results demonstrate that the automated workflow can deliver accurate and reproducible predictions even for non-standard and heterogeneous setups, confirming that robustness and accuracy can be maintained simultaneously. The study highlights the potential of CFD4DC to support wider adoption of CFD in data center research and practice and to serve as a foundation for future scientific investigations.

Date of online publication

05.11.2025

Pages (from - to)

128982-1 - 128982-15

DOI

10.1016/j.applthermaleng.2025.128982

URL

https://www.sciencedirect.com/science/article/pii/S1359431125035744

Comments

Article Number: 128982

License type

CC BY (attribution alone)

Open Access Mode

czasopismo hybrydowe

Open Access Text Version

final published version

Date of Open Access to the publication

in press

Full text of article

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Access level to full text

public

Ministry points / journal

140

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