Tools
Tools
SETHURAMALINGAM, Ramamoorthy, ASTHANA, Abhishek and WESTON, Peter (2019). Review of Waste Heat Utilisation from Data Centres. In: AL-HABAIBEH, Amin, ASTHANA, Abhishek and VUKOVIC, Vladimir, (eds.) The International Conference on Energy and Sustainable Futures (ICESF). Nottingham Trent University.
|
PDF
Asthana_ReviewOfWaste(VoR).pdf - Published Version All rights reserved. Download (1MB) | Preview |
Abstract
Rapidly increasing global internet traffic, mobile internet users and the number of Internet of Things (IoT) connections are driving exponential growth in demand for data centre and network services, which in turn is driving their electricity demand. Data centres now account for 3% of global electricity consumption and contribute to 4% of the global greenhouse gas emissions. This study discusses the potential of reusing the waste heat from data centres. An overview of imbedding heat recovery systems into data centres is presented. The implications of economic cost and energy efficient heat recovery systems in data centre buildings are also discussed. The main problems with implementing heat recovery systems in existing data centre designs are (i) high capital costs of investment and (ii) low temperatures of the waste heat. This study suggests alternatives that could allow data centre operators to utilise waste heat with more efficiencies. It also discusses how liquid-cooled data centres can be more efficient in utilising their waste heat than the air-cooled ones. One possible solution suggested here is that data centre operators can decrease their environmental impact by exporting waste heat to the external heat networks. The barriers in connecting datacentres to heat networks are discussed and suggestions to overcome those barriers have been provided.
| Item Type: | Book Section |
|---|---|
| Depositing User: | Colin Knott |
| Date Deposited: | 27 Apr 2020 10:25 |
| Last Modified: | 18 Mar 2021 01:53 |
| URI: | https://shura.shu.ac.uk/id/eprint/26175 |
Actions (login required)
 |
View Item |
Downloads
Downloads per month over past year