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和文:JIT予測モデル融合型データセンタ空調制御システムの開発と検証 
英文: 
著者
和文: 遠藤浩史, 鈴木成人, 白石崇, 畑中健志, 福田裕幸, 藤田政之.  
英文: Hiroshi Endo, Naruhito Suzuki, 白石崇, Takeshi Hatanaka, 福田裕幸, Masayuki FUJITA.  
言語 Japanese 
掲載誌/書名
和文:計測自動制御学会論文集 
英文: 
巻, 号, ページ Vol. 55    No. 10    pp. 625-634
出版年月 2019年10月 
出版者
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英文: 
会議名称
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開催地
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アブストラクト In this paper, we investigate energy-efficient control of data center air conditioning systems with outside air intakes. Taking account of the slow time constants inherent in the air conditioning systems, the present algorithm determines the current control actions, temperature set-points and intakes of the outside air, based on the predicted future values of physical quantities. To this end, we present an online modeling algorithm based on so-called just-in-time (JIT) modeling techniques with novel key variable selections based on both physical knowledge and data-based method, stepwise method. It is then shown that the future quantities are successfully estimated with an accuracy of correlation coefficient 0.97 or more. We then implement the present algorithm on a large-scale real data center and demonstrate that it successfully reduces the power consumption while meeting several operational constraints. Comparing the data over 2 months, the power consumption is shown to be reduced by 28.9% relative to a conventional method.

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