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}
}