A Novel Methodology to Improve Cooling Efficiency at Data Centers

IEEE Access

U. Rajendra Acharya¹  Simon Ching Man Yu²  Neng-Gang Xie³  Kenneth Jian Wei Tang⁴  Jin Ming Koh⁴  Kang Hao Cheong⁴ 

[1] Department of Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore;Interdisciplinary Division of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, Hong Kong;School of Management Science and Engineering, Anhui University of Technology, Ma&x2019;Science and Math Cluster, Singapore University of Technology and Design SUTD, Singapore;

关键词: Optimization;    CFD modelling;    simulation;    cooling;   

DOI  :  10.1109/ACCESS.2019.2946342

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown