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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Shrivastava, S.K. VanGilder, J.W. Sammakia, B.G. |
| Copyright Year | 2008 |
| Description | Author affiliation: American Power Conversion Corp., Billerica, MA (Shrivastava, S.K.; VanGilder, J.W.) |
| Abstract | A software tool using a Genetic Algorithm (GA) has been developed to optimize the cooling performance of a cluster of equipment comprised of two approximately-equal-length rows of racks and coolers bounding a common hot-aisle. Such clusters are "room neutral" from a cooling-load perspective if most or all of the hot rack exhaust is captured locally by the coolers. A direct cooling-performance assessment relative to this design objective is provided on a rack-level basis by the Capture Index (CI) and on a room-level basis by the Total Escaped Power (TEP). Various prediction techniques can be used to compute these cooling performance metrics for a cluster in real time. In this study, a Neural-Network-based algorithm is used as the "cooling prediction engine" upon which the GA optimization functionality is built. Typically, optimization of cluster cooling performance is attempted by intuition or trial and error, and one has to rely on the designer's experience. In contrast, the GA-based optimization technique in combination with the NN calculator provides a systematic approach for finding an optimized cluster layout. This integrated tool can be used to find the best arrangement of a fixed inventory of racks and coolers. This approach can also be used to find the best distribution of total heat load among racks and to identify the best rack location to which extra heat load can be added. Examples are discussed to demonstrate the potential of the software tool. |
| Starting Page | 1161 |
| Ending Page | 1166 |
| File Size | 154741 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424417001 |
| ISSN | 10879870 |
| DOI | 10.1109/ITHERM.2008.4544392 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-28 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Neural networks Temperature Genetic algorithms Measurement Computational fluid dynamics Software tools Design optimization Costs Electronics cooling Clustering algorithms Neural Network calculators Data Center Cooling Real-time calculators Optimization of Data Center Genetic Algorithm |
| Content Type | Text |
| Resource Type | Article |
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