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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhihang Song Murray, B.T. Sammakia, B. Shuxia Lu |
| Copyright Year | 2012 |
| Description | Author affiliation: Mechanical Engineering, SUNY Binghamton, P.O. Box 6000, New York, United States, 13902 (Zhihang Song; Murray, B.T.; Sammakia, B.) || System Science and Industrial Engineering, SUNY Binghamton, P.O. Box 6000, New York, United States, 13902 (Shuxia Lu) |
| Abstract | Modeling the thermal environment of data centers, including prediction of the air flow and temperature distributions can be computationally intensive using CFD. Reduced order models or data-driven meta-models are necessary to provide real-time assessment of optimum operating conditions for data centers to reduce energy usage. Here, a simulation-based Artificial Neural Network (ANN) approach is employed as a predictive tool. A model for a basic single cold aisle data center configuration is analyzed using the commercial CFD software FloTHERM. The simulation results are used to generate a database for training and cross validation of a primary ANN corresponding to a specific set of input and output operating conditions. Good agreement is achieved between the CFD and ANN based model predictions for maximum rack inlet temperatures over a range of operating conditions. In addition, by combining the ANN with a cost function based Multi-Objective Genetic Algorithm (MOGA), the operating conditions can be inversely predicted for desired outputs (e.g. rack inlet temperatures). The total simulation time for the ANN-MOGA approach is reduced significantly compared to a fully CFD-based optimization methodology. |
| Starting Page | 1209 |
| Ending Page | 1218 |
| File Size | 1062807 |
| Page Count | 10 |
| File Format | |
| ISBN | 9781424495337 |
| ISSN | 10879870 |
| e-ISBN | 9781424495320 |
| e-ISBN | 9781424495313 |
| DOI | 10.1109/ITHERM.2012.6231560 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-30 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Artificial neural networks Tiles Genetic algorithms Data models Optimization Atmospheric modeling Computational modeling Genetic Algorithm Data Center Thermal Design Artificial Neural Network |
| Content Type | Text |
| Resource Type | Article |
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