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Title: Data center thermal management

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.

Inventors:
;
Issue Date:
Research Org.:
International Business Machines Corp., Armonk, NY (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1237459
Patent Number(s):
9,258,932
Application Number:
13/336,266
Assignee:
International Business Machines Corporation
DOE Contract Number:  
EE0002897
Resource Type:
Patent
Resource Relation:
Patent File Date: 2011 Dec 23
Country of Publication:
United States
Language:
English
Subject:
32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION; 71 CLASSICAL AND QUANTUM MECHANICS, GENERAL PHYSICS; 97 MATHEMATICS AND COMPUTING

Citation Formats

Hamann, Hendrik F., and Li, Hongfei. Data center thermal management. United States: N. p., 2016. Web.
Hamann, Hendrik F., & Li, Hongfei. Data center thermal management. United States.
Hamann, Hendrik F., and Li, Hongfei. Tue . "Data center thermal management". United States. https://www.osti.gov/servlets/purl/1237459.
@article{osti_1237459,
title = {Data center thermal management},
author = {Hamann, Hendrik F. and Li, Hongfei},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2016},
month = {2}
}

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