Development of Analysis Tools for Energy Efficiency Increase of Existing Data Centres

2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings 2022
Ansis Avotiņš, Agris Ņikitenko, Armands Šenfelds, Jānis Ķikāns, Andrejs Podgornovs, Mihails Sazonovs

Challenge of analysis and optimization method selection for data centre energy efficiency improvement has been addressed based on several pilot site data centres. Typically energy efficiency has been presented by single performance factor – power usage effectiveness. Full cycle of workflow and methods covering data collection, system modelling and complexity layer definition, data analysis and user feedback and visualization approaches have been discussed and proposed for in-depth analysis and impact on power usage effectiveness examination. Experimental plan is created and higher resolution sensors are selected to analyse thermodynamic behaviour of system and its elements, which will enable AI-based algorithm development for automated analysis, cooling regime optimisation and system behaviour prediction.

Keywords
data centre; energy efficiency; PUE; AI algorithm; model
DOI
10.1109/RTUCON56726.2022.9978876
Hyperlink
https://ieeexplore.ieee.org/document/9978876

Avotiņš, A., Ņikitenko, A., Šenfelds, A., Ķikāns, J., Podgornovs, A., Sazonovs, M. Development of Analysis Tools for Energy Efficiency Increase of Existing Data Centres. In: 2022 IEEE 63rd International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON 2022): Conference Proceedings, Latvia, Riga, 10-12 October, 2022. Piscataway: IEEE, 2022, pp.38-43. ISBN 978-1-6654-6559-5. e-ISBN 978-1-6654-6558-8. Available from: doi:10.1109/RTUCON56726.2022.9978876

Publication language
English (en)