Evaluation of Local Thermal Environment in Operational Data Center
Frontiers in Heat and Mass Transfer (Tech Science Press) · Yan Xiao, Ruoyi Xie et al.
A method for checking the local thermal environment before adding servers to an existing hall: 2U server simulators were placed in a test rack in a live, uncontained 650 m² raised-floor hall in Hangzhou, ten layout cases were measured and scored with the Index of Mixing (IOM).
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Overview
When redeploying servers or installing new racks in an existing data centre, assessing whether target areas meet stringent cooling requirements is crucial, yet limited research addresses it. The authors built a 2U server simulator (675 W maximum, adjustable fans and heaters) and placed four in a test rack. The facility is about 650 m² with a 3.6 m ceiling, a 0.7 m plenum, eight uncontained rows (four cold and five hot aisles) and fifteen CRACs. Each 2U simulator measures 550 × 435 × 88.9 mm with three Delta PFB0812UHE fans, a PSU fan and six heaters; the rack was instrumented with 10 inlet and 30 outlet T-type thermocouples on frames 5 cm from the rack faces.
IOM is defined from the maximum and minimum rack inlet temperatures and the mean outlet and inlet temperatures, and values above 1 indicate exhaust recirculation; it picks up within-rack non-uniformity that RCI, SHI or RTI average away. With blanking, placing all four servers at the bottom of the rack gave the lowest IOM (0.28). Removing blanking plates raised IOM by 31%, 358%, 718%, 84% and 85% across the five layouts, and inlet temperatures at the same points rose by up to 29%; in two layouts IOM exceeded 2.0.
The local CFD domain was 2.2 × 1.8 × 2.15 m (three racks, 0.6 m aisles, 0.15 m overhead gap, a 0.05 m floor gap behind the rack); previous work shows three-rack models are more accurate than single-rack models. A three-rack local Icepak model, with servers as porous media calibrated to the simulator, reproduced the measured inlet profiles within a few percent: maximum inlet deviation was 3.31% in Case A, and 6.91% (inlet) and 8.61% (outlet) in Case B, with the largest outlet deviation 14.49%, attributed to surrounding hall effects and floor-gap leakage.
Limits: four servers under partial load and a single test rack; the local model does not fully capture the surrounding hall's influence and floor-gap leakage. The work supports local CFD sub-models plus simulator testing for brownfield deployments.
Key points
- The facility is about 650 m² with a 3.6 m ceiling, a 0.7 m plenum, eight uncontained rows (four cold and five hot aisles) and fifteen CRACs; supply grilles are 0.6 × 0.6 m louvered (effective area 0.52 × 0.3 m, 60 degree discharge angle).
- Each 2U simulator measures 550 × 435 × 88.9 mm with three Delta PFB0812UHE fans, a PSU fan and six heaters (675 W maximum); the rack had 10 inlet and 30 outlet T-type thermocouples.
- IOM is defined from maximum and minimum rack inlet temperatures and mean outlet and inlet temperatures; values above 1 indicate exhaust recirculation. With blanking, all four servers at the bottom of the rack gave the lowest IOM (0.28).
- Removing blanking plates raised IOM by 31%, 358%, 718%, 84% and 85% across the five layouts, with inlet temperatures up by as much as 29%; in two layouts IOM exceeded 2.0.
- The local CFD domain was 2.2 × 1.8 × 2.15 m (three racks, 0.6 m aisles, 0.15 m overhead gap, 0.05 m floor gap behind the rack); three-rack models are more accurate than single-rack models.
- Validation: maximum inlet deviation was 3.31% in Case A, and 6.91% (inlet) and 8.61% (outlet) in Case B; the largest outlet deviation was 14.49%, attributed to surrounding hall effects and floor-gap leakage.
Using it in design
- Before adding servers to an existing hall, measure the local thermal environment of the target rack in place with server simulators and score it with IOM; RCI, SHI or RTI average away within-rack non-uniformity.
- In a partly filled rack, place servers in the lower section (IOM 0.28) and close unused rack spaces with blanking plates; without panels IOM rose by 31-718%.
- For brownfield deployments, use a three-rack local CFD sub-model (servers as porous media calibrated to the simulator) with measurement validation, and allow for the largest deviation (14.49% outlet) coming from floor-gap leakage.
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Who should read it
Operations and cooling engineers adding servers or rearranging racks in existing halls.
Document contents
- 1 Introduction
- 2 Methodology (2.1 Data Center Description, 2.2 Experimental Study, 2.3 Numerical Simulation)
- 3 Results and Discussion (3.1 Effect of Server Layout and Blind Plates, 3.2 Rack Thermal Environment Simulation, 3.3 Local CFD Model Validation)
- 4 Conclusion
Related standards
- ASHRAE TC 9.9 Thermal Guidelines for Data Processing Environments
Read the document
operational-dc-local-thermal-env-2026.pdf
CC BY 4.0 — share with attribution
The document is provided unaltered because its licence permits redistribution.
Publication details
- Authors
- Yan Xiao; Ruoyi Xie; Song Gao; Jinhui Yang; Luyao Liang; Shaozhi Zhang
- Publisher
- Frontiers in Heat and Mass Transfer (Tech Science Press)
- Year
- 2026
- Volume
- 24
- Issue
- 4
- Pages
- 1-10
- Document language
- English
- Source type
- Scientific
- Access
- Open licence — downloadable
- Licence
- CC BY 4.0 — share with attribution
- Licence evidence
- www.techscience.com
Original licence note
PDF p.1: Copyright 2026 The Authors. Published by Tech Science Press. Licensed under a Creative Commons Attribution 4.0 International License.
Citation
Yan Xiao; Ruoyi Xie; Song Gao; Jinhui Yang; Luyao Liang; Shaozhi Zhang (2026). Evaluation of Local Thermal Environment in Operational Data Center. Frontiers in Heat and Mass Transfer (Tech Science Press). 24(4), 1-10. https://doi.org/10.32604/fhmt.2026.077396
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