Energy-efficient data-based zonal control of temperature for data centers

被引：6

作者：

Kheradmandi, Masoud ^{[1
]}

Down, Douglas G. ^{[1
]}

Moazamigoodarzi, Hosein ^{[2
]}

机构：

[1] McMaster Univ, Dept Comp & Software, Hamilton, ON, Canada

[2] McMaster Univ, Dept Mech Engn, Hamilton, ON, Canada

来源：

2019 TENTH INTERNATIONAL GREEN AND SUSTAINABLE COMPUTING CONFERENCE (IGSC) | 2019年

关键词：

Data centers; Thermal management; Zone-model predictive control; MPC; EMPC; Data driven predictive model;

D O I：

10.1109/igsc48788.2019.8957198

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this work we address the problem of optimal economic thermal operation of data centers utilizing economic model predictive control. First, a data driven predictive zonal model is trained using subspace identification. This model is utilized in a model predictive controller to predict dynamic behavior of a data center. An economic model predictive control is designed to maintain temperature of each zone within an allowable range while minimizing operational costs of the cooling system. The effectiveness of the proposed method is illustrated through simulations on a mechanistic data center model.

引用

页数：7

共 18 条

[1]

Dai J., 2016, Optimum cooling of data centers

[2]

Dawson C. J., 2012, uS Patent, Patent No. [8,090,476, 8090476]

[3]

Deru M., 2011, US Department of Energy commercial reference building models of the national building stock

[4]

Dunlap K., 2012, APC WHITE PAPER, V130

[5] Data center optimization using PID regulation in CFD simulations [J].

Durand-Estebe, Baptiste ;

Le Bot, Cedric ;

Mancos, Jean Nicolas ;

Arquis, Eric .

ENERGY AND BUILDINGS, 2013, 66 :154-164

[6]

El-Sayed Nosayba, 2012, Performance Evaluation Review, V40, P163, DOI 10.1145/2318857.2254778

[7]

Grosman Benyamin, 2010, J Diabetes Sci Technol, V4, P961

[8] Data Driven Economic Model Predictive Control [J].

Kheradmandi, Masoud ;

Mhaskar, Prashant .

MATHEMATICS, 2018, 6 (04)

[9] Prescribing Closed-Loop Behavior Using Nonlinear Model Predictive Control [J].

Kheradmandi, Masoud ;

Mhaskar, Prashant .

INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2017, 56 (51) :15083-15093

[10] Real-time temperature predictions in IT server enclosures [J].

Moazamigoodarzi, Hosein ;

Pal, Souvik ;

Ghosh, Suvojit ;

Puri, Ishwar K. .

INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, 2018, 127 :890-900

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