A novel methodology to improve cooling efficiency at data centers

Kang Hao Cheong, Kenneth Jian Wei Tang, Jin Ming Koh, Simon Ching Man Yu, U. Rajendra Acharya, Neng Gang Xie

Research output: Journal article publicationJournal articleAcademic researchpeer-review

6 Citations (Scopus)

Abstract

Data centers are mission-critical infrastructures. There are strict service level requirements and standards imposed on operators and maintainers to ensure reliable run-the-clock operation. In the context of thermal management and data hall environmental control, the formation of hot and cold spots around server cabinets are especially undesirable, and can result in overheating, lifespan reductions, and performance throttling in the former and condensation damage in the latter. In this paper, we present a comprehensive multi-pronged methodology in data center environmental control, comprising computational fluid dynamics (CFD) simulation-aided predictive design first-stage approach, and a complementing Internet of Things (IoT) reactive management system that autonomously monitors and regulates fluctuations in thermal parameters. The novel hybrid methodology is demonstrated on various test scenarios derived from real-world context, and prototypes of the IoT system have been experimentally validated. The approach is shown to be efficient in eliminating unfavourable environmental variations and provides an enhanced understanding of common design problems and respective mitigation measures.

Original languageEnglish
Article number8863331
Pages (from-to)153799-153809
Number of pages11
JournalIEEE Access
Volume7
DOIs
Publication statusPublished - 9 Oct 2019

Keywords

  • CFD modelling
  • Cooling
  • Optimization
  • Simulation

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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