Data center thermal management

Hamann, Hendrik F.; Li, Hongfei

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DOE OSTI · 1237459

Data center thermal management

Hamann, Hendrik F.·Li, Hongfei

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Abstract

Historical high-spatial-resolution temperature data and dynamic temperature sensor measurement data may be used to predict temperature. A first formulation may be derived based on the historical high-spatial-resolution temperature data for determining a temperature at any point in 3-dimensional space. The dynamic temperature sensor measurement data may be calibrated based on the historical high-spatial-resolution temperature data at a corresponding historical time. Sensor temperature data at a plurality of sensor locations may be predicted for a future time based on the calibrated dynamic temperature sensor measurement data. A three-dimensional temperature spatial distribution associated with the future time may be generated based on the forecasted sensor temperature data and the first formulation. The three-dimensional temperature spatial distribution associated with the future time may be projected to a two-dimensional temperature distribution, and temperature in the future time for a selected space location may be forecasted dynamically based on said two-dimensional temperature distribution.

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32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS 97 MATHEMATICS AND COMPUTING

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Hamann, Hendrik F., Li, Hongfei. 2016-02-09. Data center thermal management. https://www.osti.gov/biblio/1237459

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