Investigation of diverse cold air inlet configurations for Sun HPC data center

The data center acts a significant part in recent years due to the rapid growth of cloud computing. Many organizations are running these data centers for their routine operations all year round and the excessive heat generated by the servers will have an adverse effect on the electronic components o...

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Main Author: Liu, Zhao
Other Authors: Li Hua
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2020
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Online Access:https://hdl.handle.net/10356/141218
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1412182023-03-04T19:42:45Z Investigation of diverse cold air inlet configurations for Sun HPC data center Liu, Zhao Li Hua School of Mechanical and Aerospace Engineering LiHua@ntu.edu.sg Engineering::Mechanical engineering The data center acts a significant part in recent years due to the rapid growth of cloud computing. Many organizations are running these data centers for their routine operations all year round and the excessive heat generated by the servers will have an adverse effect on the electronic components of the computing devices. Further more, the energy consumption and cooling demand in the data center have remarkably increased. The mainstream method of traditional air cooling is not efficient enough to remove the extra heat promptly and consumes a large amount of power as well. Therefore, with energy costs increasing, there is now a need to design the data center adequately to maintain the proper temperature with higher cooling efficiency. This project is undertaken with the purpose to investigate and study the efficiency of passive cooling cabinets in data center by comparing diverse cold air inlet configurations. The results are accomplished by using the commercial CFD software, ANSYS FLUENT, to simulate the thermal distribution and airflow around the server cabinets in the data center. The crucial problems are identified, such as over cooling ares at some parts of the data center and re-circulation of the hot air, and so on. The parameters used in the simulation are achieved from previous research of Sun HPC data center. This project indicates that it is possible to improve the cooling efficiency and achieve faster heat dissipation via investigating the best combination of different sizes, locations and orientations of cold air inlet. It is suggested that further studies should include different server layouts as well as the diverse conditions of the air outlets into the research to improve the reliability of the findings. Bachelor of Engineering (Mechanical Engineering) 2020-06-05T02:40:24Z 2020-06-05T02:40:24Z 2020 Final Year Project (FYP) https://hdl.handle.net/10356/141218 en P-B023 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Mechanical engineering
spellingShingle Engineering::Mechanical engineering
Liu, Zhao
Investigation of diverse cold air inlet configurations for Sun HPC data center
description The data center acts a significant part in recent years due to the rapid growth of cloud computing. Many organizations are running these data centers for their routine operations all year round and the excessive heat generated by the servers will have an adverse effect on the electronic components of the computing devices. Further more, the energy consumption and cooling demand in the data center have remarkably increased. The mainstream method of traditional air cooling is not efficient enough to remove the extra heat promptly and consumes a large amount of power as well. Therefore, with energy costs increasing, there is now a need to design the data center adequately to maintain the proper temperature with higher cooling efficiency. This project is undertaken with the purpose to investigate and study the efficiency of passive cooling cabinets in data center by comparing diverse cold air inlet configurations. The results are accomplished by using the commercial CFD software, ANSYS FLUENT, to simulate the thermal distribution and airflow around the server cabinets in the data center. The crucial problems are identified, such as over cooling ares at some parts of the data center and re-circulation of the hot air, and so on. The parameters used in the simulation are achieved from previous research of Sun HPC data center. This project indicates that it is possible to improve the cooling efficiency and achieve faster heat dissipation via investigating the best combination of different sizes, locations and orientations of cold air inlet. It is suggested that further studies should include different server layouts as well as the diverse conditions of the air outlets into the research to improve the reliability of the findings.
author2 Li Hua
author_facet Li Hua
Liu, Zhao
format Final Year Project
author Liu, Zhao
author_sort Liu, Zhao
title Investigation of diverse cold air inlet configurations for Sun HPC data center
title_short Investigation of diverse cold air inlet configurations for Sun HPC data center
title_full Investigation of diverse cold air inlet configurations for Sun HPC data center
title_fullStr Investigation of diverse cold air inlet configurations for Sun HPC data center
title_full_unstemmed Investigation of diverse cold air inlet configurations for Sun HPC data center
title_sort investigation of diverse cold air inlet configurations for sun hpc data center
publisher Nanyang Technological University
publishDate 2020
url https://hdl.handle.net/10356/141218
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