A comprehensive review of a data centre for a cooling system

Cyber-Physical-Social Systems, commercial enterprises, and social networking use data centers to store, process, and distribute massive amounts of data. A data center serves as the foundation for all of these endeavors. The data center's workload and power consumption are increasing rapidly...

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Main Authors: Gerijih, Debie Devisser, Hazrati, K. Z., Qibtiah, Raja Mariatul, Baharudin, N., Razali, Nizamuddin, Ali, Khairul Fahmi
Format: Article
Language:English
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Online Access:http://eprints.uthm.edu.my/7185/1/J13996_53bd9f016f714f7cae106d14fd3ad5b1.pdf
http://eprints.uthm.edu.my/7185/
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spelling my.uthm.eprints.71852022-06-14T02:15:51Z http://eprints.uthm.edu.my/7185/ A comprehensive review of a data centre for a cooling system Gerijih, Debie Devisser Hazrati, K. Z. Qibtiah, Raja Mariatul Baharudin, N. Razali, Nizamuddin Ali, Khairul Fahmi T Technology (General) Cyber-Physical-Social Systems, commercial enterprises, and social networking use data centers to store, process, and distribute massive amounts of data. A data center serves as the foundation for all of these endeavors. The data center's workload and power consumption are increasing rapidly due to the demand for remote data services. Mechanical refrigeration and terminal cooling are the most critical components for most cooling systems. There is a way to transfer heat from the data center to the outside environment, but it's a complicated process. Air cooling systems and technology are most useful for room cooling and rack-level cooling. Because of their superior cooling performance and higher energy efficiency, air cooling has attracted more attention than water cooling in most existing data centers. The chillers and fans consume the most power of all the cooling equipment in the system. These methods can be divided into mechanism-based methods and data-driven methods for energy management of the cooling system. Operation management of cooling equipment is proposed to reduce power consumption, mainly using predictive model control and reinforcement learning-based methods. An overview of the data center's cooling system is presented in this paper, which focuses on the most common cooling solutions, power consumption modeling methods, and optimization control strategies, among others. In addition, the data center's cooling system is described as a current and future issue. Article PeerReviewed text en http://eprints.uthm.edu.my/7185/1/J13996_53bd9f016f714f7cae106d14fd3ad5b1.pdf Gerijih, Debie Devisser and Hazrati, K. Z. and Qibtiah, Raja Mariatul and Baharudin, N. and Razali, Nizamuddin and Ali, Khairul Fahmi A comprehensive review of a data centre for a cooling system. International Journal of Mechanical Engineering, 7 (1). pp. 1-7.
institution Universiti Tun Hussein Onn Malaysia
building UTHM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tun Hussein Onn Malaysia
content_source UTHM Institutional Repository
url_provider http://eprints.uthm.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Gerijih, Debie Devisser
Hazrati, K. Z.
Qibtiah, Raja Mariatul
Baharudin, N.
Razali, Nizamuddin
Ali, Khairul Fahmi
A comprehensive review of a data centre for a cooling system
description Cyber-Physical-Social Systems, commercial enterprises, and social networking use data centers to store, process, and distribute massive amounts of data. A data center serves as the foundation for all of these endeavors. The data center's workload and power consumption are increasing rapidly due to the demand for remote data services. Mechanical refrigeration and terminal cooling are the most critical components for most cooling systems. There is a way to transfer heat from the data center to the outside environment, but it's a complicated process. Air cooling systems and technology are most useful for room cooling and rack-level cooling. Because of their superior cooling performance and higher energy efficiency, air cooling has attracted more attention than water cooling in most existing data centers. The chillers and fans consume the most power of all the cooling equipment in the system. These methods can be divided into mechanism-based methods and data-driven methods for energy management of the cooling system. Operation management of cooling equipment is proposed to reduce power consumption, mainly using predictive model control and reinforcement learning-based methods. An overview of the data center's cooling system is presented in this paper, which focuses on the most common cooling solutions, power consumption modeling methods, and optimization control strategies, among others. In addition, the data center's cooling system is described as a current and future issue.
format Article
author Gerijih, Debie Devisser
Hazrati, K. Z.
Qibtiah, Raja Mariatul
Baharudin, N.
Razali, Nizamuddin
Ali, Khairul Fahmi
author_facet Gerijih, Debie Devisser
Hazrati, K. Z.
Qibtiah, Raja Mariatul
Baharudin, N.
Razali, Nizamuddin
Ali, Khairul Fahmi
author_sort Gerijih, Debie Devisser
title A comprehensive review of a data centre for a cooling system
title_short A comprehensive review of a data centre for a cooling system
title_full A comprehensive review of a data centre for a cooling system
title_fullStr A comprehensive review of a data centre for a cooling system
title_full_unstemmed A comprehensive review of a data centre for a cooling system
title_sort comprehensive review of a data centre for a cooling system
url http://eprints.uthm.edu.my/7185/1/J13996_53bd9f016f714f7cae106d14fd3ad5b1.pdf
http://eprints.uthm.edu.my/7185/
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score 13.214268