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Improving Prediction Accuracy Concerning the Thermal Environment of a Data Center by Using Design of Experiments
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| Title: | Improving Prediction Accuracy Concerning the Thermal Environment of a Data Center by Using Design of Experiments |
| Authors: | Futawatari, Naoki Browse this author | | Udagawa, Yosuke Browse this author | | Mori, Taro Browse this author →KAKEN DB | | Hayama, Hirofumi Browse this author →KAKEN DB |
| Keywords: | data center | | air-conditioning | | computational fluid dynamics (CFD) | | design of experiments (DOE) | | prediction accuracy | | air-management metrics | | energy conservation |
| Issue Date: | Sep-2020 |
| Publisher: | MDPI |
| Journal Title: | Energies |
| Volume: | 13 |
| Issue: | 18 |
| Start Page: | 4595 |
| Publisher DOI: | 10.3390/en13184595 |
| Abstract: | In data centers, heating, ventilation, and air-conditioning (HVAC) consumes 30-40% of total energy consumption. Of that portion, 26% is attributed to fan power, the ventilation efficiency of which should thus be improved. As an alternative method for experimentations, computational fluid dynamics (CFD) is used. In this study, "parameter tuning"-which aims to improve the prediction accuracy of CFD simulation-is implemented by using the method known as "design of experiments". Moreover, it is attempted to improve the thermal environment by using a CFD model after parameter tuning. As a result of the parameter tuning, the difference between the result of experimental-measurement results and simulation results for average inlet temperature of information-technology equipment (ITE) installed in the ventilation room of a test data center was within 0.2 degrees C at maximum. After tuning, the CFD model was used to verify the effect of advanced insulation such as raised-floor fixed panels and show the possibility of reducing fan power by 26% while keeping the recirculation ratio constant. Improving heat-insulation performance is a different approach from the conventional approach (namely, segregating cold/hot airflow) to improving ventilation efficiency, and it is a possible solution to deal with excessive heat generated in data centers. |
| Rights: | © [2020] by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/). | | http://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/79751 |
| Appears in Collections: | 工学院・工学研究院 (Graduate School of Engineering / Faculty of Engineering) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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