Modeling and Identification of Data Center HVAC System with Super-Multipoint Temperature Sensing System

Modeling and Identification of Data Center HVAC System with Super-Multipoint Temperature Sensing System

This paper investigates a heating, ventilation, and air-conditioning (HVAC) system in a data center equipped with a previously developed super-multipoint temperature sensing system. This system is expected to be a key technology for reducing the total power consumption of the HVAC system by controll...

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Bibliographic Details
Main Authors: Yasuaki Wasa, Takeo Kasajima, Takeshi Hatanaka, Masayuki Fujita
Format: Article
Language:English
Published: Taylor & Francis Group 2018-05-01
Series:SICE Journal of Control, Measurement, and System Integration
Subjects:
hvac system
data center
system modeling
data reduction
machine learning
Online Access:http://dx.doi.org/10.9746/jcmsi.11.221

Internet

http://dx.doi.org/10.9746/jcmsi.11.221

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