Abstract
The main goal of climate control systems in data centres is to keep the temperature and humidity in a suitable level for computational devices. Therefore, cooling and humidification systems are essential parts of every Building Automation System (BAS), which is utilized in server rooms. Although the current climate control systems ensure appropriate thermal conditions to computational nodes such as servers, they waste substantial amount of energy. The main cause of this inefficiency is that the current climate control systems, which are responsible for thermal management of the data centres, follow rigid control strategies that maintain constant thermal conditions irrespective of climate changes caused by various computational loads in the plant. To address this issue, in our previous works we proposed a method of optimizing energy consumption in data centre cooling systems while maintaining an acceptable level of thermal comfort for CPUs in the server room. In this paper, we present the enhancement of our previous method by incorporating humidity control into it. The enhanced method consists of a thermal model of server room, and a simulation tool to find an energy efficient control strategy for the climate control system in different situations by comparing different control strategies. The effectiveness of the proposed method has been investigated via simulation and the result, which shows 41.5% reduction in total energy consumption is presented.
Original language | English |
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Title of host publication | Proceedings of the 42nd Annual Conference of the Industrial Electronics Society, IECON 2016 |
Publisher | IEEE |
Pages | 5585-5590 |
Number of pages | 6 |
ISBN (Electronic) | 978-1-5090-3474-1 |
DOIs | |
Publication status | Published - 21 Dec 2016 |
MoE publication type | A4 Conference publication |
Event | Annual Conference of the IEEE Industrial Electronics Society - Florence, Italy Duration: 24 Oct 2016 → 27 Oct 2016 Conference number: 42 |
Publication series
Name | Proceedings of the Annual Conference of the IEEE Industrial Electronics Society |
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Publisher | IEEE |
ISSN (Print) | 1553-572X |
Conference
Conference | Annual Conference of the IEEE Industrial Electronics Society |
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Abbreviated title | IECON |
Country/Territory | Italy |
City | Florence |
Period | 24/10/2016 → 27/10/2016 |
Keywords
- Building automation
- Climate control
- Cooling system
- Data centre automation
- Energy efficiency
- Humidification
- Thermal model