Optimising thermal performance in data centre server racks via a parametric layout configuration study
The rapid expansion of data centres has intensified the demand for low-threshold thermal optimisation strategies that avoid the high costs and operational disruptions associated with conventional infrastructure retrofits. This study focuses exclusively on in-rack server layout adjustments, specifically server power combination, arrangement methods, and air supply velocity. A dedicated experimental platform was constructed to represent a standard server rack environment, and physical single-factor and orthogonal experiments were conducted to evaluate cooling efficiency. Results indicate that: (1) Heat accumulates primarily at the rack top, producing pronounced temperature stratification. (2) The relative impact of the examined parameters on thermal performance ranks as follows: air supply velocity > power combination > arrangement method. (3) An optimal configuration-400 W × 10 servers positioned in the lower rack with an air supply velocity of 4 m/s-effectively alleviates heat imbalance and suppresses hot-spots. Compared with a non-optimised baseline, this configuration yielded measurable improvements in airflow utilisation and thermal uniformity. This work demonstrates that strategic in-rack layout adjustments alone can markedly enhance cooling performance without additional capital investment or infrastructure modifications, offering actionable guidance for data centre operators seeking practical, low-effort optimisation measures.
Authors
- Xinkun Gao
- Hongwei Wu (ORCID: https://orcid.org/0000-0002-3768-4608)
- Ruiyong Mao (ORCID: https://orcid.org/0000-0001-6933-6360)
- Zujing Zhang (ORCID: https://orcid.org/0000-0002-1946-7570)
- Cheng Hu (ORCID: https://orcid.org/0000-0001-9007-2144)
- Weiping Yang
- Xiaoyan Yi (ORCID: https://orcid.org/0000-0002-7031-4123)
- Qiaoxinyi Zhou
- Mingqin Cai
Institutions
- University of Hertfordshire (GB)
- Guizhou University (CN)
- Guizhou Minzu University (CN)
Publication Details
- Journal
- Scientific Reports
- Published
- 2026-06-25
- DOI
- https://doi.org/10.1038/s41598-026-58700-x
- Primary Topic
- Heat Transfer and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Guizhou University