Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres
Abstract The main purpose of this paper is to improve the resilience of data center cooling system and reduce the energy consumption in data center by using the Tilted Active Tile (TATs). We deploy multiple TATs in cold aisle environment then analyze the thermal performance of racks. TATs also help...
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Format: | Article |
Language: | English |
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Wiley
2021-11-01
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Series: | The Journal of Engineering |
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Online Access: | https://doi.org/10.1049/tje2.12052 |
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author | Zeeshan Rasheed Zhiyan Zhao Gaoxiang Cong Jianxiong Wan Leixiao Li Zhiqiang Ma |
author_facet | Zeeshan Rasheed Zhiyan Zhao Gaoxiang Cong Jianxiong Wan Leixiao Li Zhiqiang Ma |
author_sort | Zeeshan Rasheed |
collection | DOAJ |
description | Abstract The main purpose of this paper is to improve the resilience of data center cooling system and reduce the energy consumption in data center by using the Tilted Active Tile (TATs). We deploy multiple TATs in cold aisle environment then analyze the thermal performance of racks. TATs also help to improve the reliability in case of cooling failure by increased ride through time. We observed an extended ride‐through time for data centers deployed with Tilted Active Tiles (TATs) when the CRAC blower failed. Proposed approach can maintain cooling system temperature for up to 10 minutes. We also introduced ANN based thermal models to predict the thermal performance of TATs, To train the ANN models, we collect the rack inlet and CRAC outlet temperature from Data Center. We also fixed blank panel in empty U part of racks and then analyzed that the thermal performance of racks are better and temperature distribution at bottom, middle and top of the rack were same under 30°angle. The airflow of TATs and passive tile influence on surrounding racks. That’s why we analyzed the disturbance of TATs on surrounding rack and observed that the TATs at 30°angle has positiveimpact on the surrounding racks. |
first_indexed | 2024-04-13T02:42:31Z |
format | Article |
id | doaj.art-ca7379641fe142379ca696f3990af2a4 |
institution | Directory Open Access Journal |
issn | 2051-3305 |
language | English |
last_indexed | 2024-04-13T02:42:31Z |
publishDate | 2021-11-01 |
publisher | Wiley |
record_format | Article |
series | The Journal of Engineering |
spelling | doaj.art-ca7379641fe142379ca696f3990af2a42022-12-22T03:06:10ZengWileyThe Journal of Engineering2051-33052021-11-0120211168570410.1049/tje2.12052Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centresZeeshan Rasheed0Zhiyan Zhao1Gaoxiang Cong2Jianxiong Wan3Leixiao Li4Zhiqiang Ma5School of Data Science and Application Inner Mongolia University of Technology and Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service Huhhot ChinaSchool of Data Science and Application Inner Mongolia University of Technology and Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service Huhhot ChinaSchool of Data Science and Application Inner Mongolia University of Technology and Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service Huhhot ChinaSchool of Data Science and Application Inner Mongolia University of Technology and Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service Huhhot ChinaSchool of Data Science and Application Inner Mongolia University of Technology and Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service Huhhot ChinaSchool of Data Science and Application Inner Mongolia University of Technology and Inner Mongolia Autonomous Region Engineering & Technology Research Center of Big Data Based Software Service Huhhot ChinaAbstract The main purpose of this paper is to improve the resilience of data center cooling system and reduce the energy consumption in data center by using the Tilted Active Tile (TATs). We deploy multiple TATs in cold aisle environment then analyze the thermal performance of racks. TATs also help to improve the reliability in case of cooling failure by increased ride through time. We observed an extended ride‐through time for data centers deployed with Tilted Active Tiles (TATs) when the CRAC blower failed. Proposed approach can maintain cooling system temperature for up to 10 minutes. We also introduced ANN based thermal models to predict the thermal performance of TATs, To train the ANN models, we collect the rack inlet and CRAC outlet temperature from Data Center. We also fixed blank panel in empty U part of racks and then analyzed that the thermal performance of racks are better and temperature distribution at bottom, middle and top of the rack were same under 30°angle. The airflow of TATs and passive tile influence on surrounding racks. That’s why we analyzed the disturbance of TATs on surrounding rack and observed that the TATs at 30°angle has positiveimpact on the surrounding racks.https://doi.org/10.1049/tje2.12052Air conditioningComputer facilitiesNeural nets |
spellingShingle | Zeeshan Rasheed Zhiyan Zhao Gaoxiang Cong Jianxiong Wan Leixiao Li Zhiqiang Ma Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres The Journal of Engineering Air conditioning Computer facilities Neural nets |
title | Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres |
title_full | Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres |
title_fullStr | Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres |
title_full_unstemmed | Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres |
title_short | Performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres |
title_sort | performance evaluation and artificial neural network based thermal modelling of multi tilted active tiles in data centres |
topic | Air conditioning Computer facilities Neural nets |
url | https://doi.org/10.1049/tje2.12052 |
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