Research paperPDF2024

Improving Thermal Performance in Data Centers Based on Numerical Simulations

Buildings (MDPI AG) · Yinjie Guo, Chunyu Zhao et al.

A 6SigmaDC study of a 552 m² cold-aisle-contained raised-floor hall (0.8 m floor, 226 cabinets at 6.3 kW, eleven 175 kW chilled-water units on one side): cabinets in the rows nearest the cooling units run hot because high-velocity plenum flow starves the nearest tiles.

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Overview

The study asks how inappropriate temperature distribution when cooling servers with cold air aggravates the heat-dissipation problem, and how to correct it. The room is about 32.8 m × 16.9 m (552.38 m² including the AC room), 5 m high, with a 0.8 m raised floor and 50%-open grilles. It holds 226 cabinets of 6.3 kW (21 × 600 W 2U servers each) and eleven 175 kW chilled-water precision units, two of them redundant. The model was built from design data in 6SigmaDC.

Two fixes were tested: adjustable underfloor deflectors with adjusted grille openings in the near rows, and fan-assisted floor tiles in the nearest row. Underfloor deflectors under the grilles in rows O and N, with adjusted grille opening, raised airflow to near-side cabinets by 18.1% and cut airflow to far-side cabinets by 5.1%. Replacing the row-Q grilles with fan floor tiles raised near-side cabinet airflow by 4.9% and cut far-side airflow by 3.8%. The largest drop in average cabinet outlet temperature was 2.81 °C.

Both options balanced airflow between near and far cabinets, maximised cooling capacity and improved temperature uniformity. Because server racking is lengthy, data centres often do not run at full load; the study considered the most unfavourable case (full load) and showed both solutions keep server equipment within the normal temperature range even at full capacity.

Limits: the CFD model was not validated against measurements; the paper reports meshing but no measurement-based validation. Results depend on one hall geometry, and the cost, noise and control of fan tiles and deflectors were not assessed.

Key points

  1. The room is about 32.8 m × 16.9 m (552.38 m² including the AC room), 5 m high, 0.8 m raised floor, 50%-open grilles; 226 cabinets of 6.3 kW (21 × 600 W 2U servers) and eleven 175 kW chilled-water precision units, two redundant.
  2. Underfloor deflectors under the grilles in rows O and N, with adjusted grille opening, raised airflow to near-side cabinets by 18.1% and cut airflow to far-side cabinets by 5.1%.
  3. Replacing the row-Q grilles with fan floor tiles raised near-side cabinet airflow by 4.9% and cut far-side airflow by 3.8%.
  4. The largest drop in average cabinet outlet temperature was 2.81 °C.
  5. The model is built from design data in 6SigmaDC; the paper reports meshing but no measurement-based validation.

Using it in design

  • If cabinets in the rows nearest the cooling units run hot (high-velocity plenum flow starving the nearest tiles), consider adjustable underfloor deflectors and grille opening adjustment before fan-assisted tiles (18.1% and 4.9% airflow shift).
  • Verify the design at the full-load worst case, since racking is lengthy and the hall often runs at part load.
  • Label CFD results without measurement validation as indicative and compare them with tile airflow measurement at commissioning.

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Who should read it

Cooling engineers balancing near- and far-side cabinets in raised-floor, cold-aisle-contained halls.

Document contents

  1. 1. Introduction
  2. 2. Fundamental Methods (2.1 Project Overview and Physical Model, 2.3 Post-Processing, 2.4 Transformation Process)
  3. 3. Comparison and Results (effect of the measures, CFD simulation analysis, CFD simulation analysis of cabinets at different heights)
  4. 4. Conclusions

Related standards

  • GB 50174 Code for design of data centers

Read the document

fan-floor-cabinet-airflow-balance-2024.pdf

PDF · 8.7 MB · English

CC BY 4.0 — share with attribution

The document is provided unaltered because its licence permits redistribution.

Publication details

Authors
Yinjie Guo; Chunyu Zhao; Hao Gao; Cheng Shen; Xu Fu
Publisher
Buildings (MDPI AG)
Year
2024
Volume
14
Issue
5
Pages
1416
Document language
English
Source type
Scientific
Access
Open licence — downloadable
Licence
CC BY 4.0 — share with attribution
Licence evidence
www.mdpi.com
Original licence note

PDF p.1: open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.

Citation

Yinjie Guo; Chunyu Zhao; Hao Gao; Cheng Shen; Xu Fu (2024). Improving Thermal Performance in Data Centers Based on Numerical Simulations. Buildings (MDPI AG). 14(5), 1416. https://doi.org/10.3390/buildings14051416

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