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Title
Japanese: 
English:Modeling of HVAC System in Data Center with Super-multipoint Temperature Sensing Technology 
Author
Japanese: 和佐 泰明, 牧原 史弥, 加藤 輝人, T. Kasajima, 畑中 健志, 藤田 政之.  
English: Y. Wasa, F. Makihara, A. Kato, T. Kasajima, T. Hatanaka, M. Fujita.  
Language English 
Journal/Book name
Japanese: 
English:Proc. of 8th IEEE Multi-conference on Systems and Control 
Volume, Number, Page         pp. 304-309
Published date Oct. 8, 2014 
Publisher
Japanese: 
English:IEEE 
Conference name
Japanese: 
English:8th IEEE Multi-conference on Systems and Control 
Conference site
Japanese: 
English:Nice-Antibes 
DOI https://doi.org/10.1109/CCA.2014.6981363
Abstract In this paper, we consider a server cooling system in a data center with fans and a super-multipoint temperature sensing technology using optimal time-domain reflectometry of optical fiber. The sensing system was developed to visualize the temperature distribution of the room in real time, and it can also be a key technology to control the distribution in order to reduce total power consumption in data centers. In this paper, we first present a concept of the fan control system. The objective of the system is to uniformize the rack air inlet temperature distribution in the presence of heat from each server. Since the control scheme requires a dynamical model of the temperature variations in the room, this paper mainly addresses the modeling. The challenge of the modeling stems from a large volume of data provided by the sensing system. It is computationally hard to directly apply standard identification techniques to the data. We thus present a two-stage reduction scheme of the output dimension using the concept of so-called mutual information. The effectiveness of the proposed scheme is finally demonstrated using real data.

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