Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres

Data centres are a key infrastructure for the global digital economy, helping enable the EU “Digital Decade” by 2030. In 2015, data centres were estimated to consume 2.5% of EU electricity demand. In Ireland, the concentrated presence of data centres could consume 37% of national electricity demand...

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Autores principales:	Bryan Coyne, Eleanor Denny
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	data centres electricity consumption technology adoption diffusion energy efficiency Technology T
Acceso en línea:	https://doaj.org/article/dd35be1b973e466fa24de62bb51c9236
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spelling	oai:doaj.org-article:dd35be1b973e466fa24de62bb51c92362021-11-25T17:28:01ZApplying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres10.3390/en142276991996-1073https://doaj.org/article/dd35be1b973e466fa24de62bb51c92362021-11-01T00:00:00Zhttps://www.mdpi.com/1996-1073/14/22/7699https://doaj.org/toc/1996-1073Data centres are a key infrastructure for the global digital economy, helping enable the EU “Digital Decade” by 2030. In 2015, data centres were estimated to consume 2.5% of EU electricity demand. In Ireland, the concentrated presence of data centres could consume 37% of national electricity demand by 2028. The uncertainty of data centre facility-level energy efficiency paired with the need to achieve a low-carbon economy pose significant challenge for generation and transmission network planning. This is the first paper to apply a model of technology diffusion with a national forecast of changes in Irish data centre electricity demand through more efficient liquid cooling. The methodology serves as a technology-agnostic resource for practitioners performing forecasts under uncertainty with limited information. Results suggest that technology adoption could lower national electricity demand by 0.81% if adopted by new plant from 2019 to 2028. Savings rise to 3.16% over the same period if adopted by new and existing data centres. Adoption would also lower related emissions by 4.70% and 23.04% over the same period across both scenarios, respectively. Results highlight substantial potential electricity and associated emissions savings available in the sector and suggest policy options to support a transition towards a low-carbon economy.Bryan CoyneEleanor DennyMDPI AGarticledata centreselectricity consumptiontechnology adoptiondiffusionenergy efficiencyTechnologyTENEnergies, Vol 14, Iss 7699, p 7699 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	data centres electricity consumption technology adoption diffusion energy efficiency Technology T
spellingShingle	data centres electricity consumption technology adoption diffusion energy efficiency Technology T Bryan Coyne Eleanor Denny Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres
description	Data centres are a key infrastructure for the global digital economy, helping enable the EU “Digital Decade” by 2030. In 2015, data centres were estimated to consume 2.5% of EU electricity demand. In Ireland, the concentrated presence of data centres could consume 37% of national electricity demand by 2028. The uncertainty of data centre facility-level energy efficiency paired with the need to achieve a low-carbon economy pose significant challenge for generation and transmission network planning. This is the first paper to apply a model of technology diffusion with a national forecast of changes in Irish data centre electricity demand through more efficient liquid cooling. The methodology serves as a technology-agnostic resource for practitioners performing forecasts under uncertainty with limited information. Results suggest that technology adoption could lower national electricity demand by 0.81% if adopted by new plant from 2019 to 2028. Savings rise to 3.16% over the same period if adopted by new and existing data centres. Adoption would also lower related emissions by 4.70% and 23.04% over the same period across both scenarios, respectively. Results highlight substantial potential electricity and associated emissions savings available in the sector and suggest policy options to support a transition towards a low-carbon economy.
format	article
author	Bryan Coyne Eleanor Denny
author_facet	Bryan Coyne Eleanor Denny
author_sort	Bryan Coyne
title	Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres
title_short	Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres
title_full	Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres
title_fullStr	Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres
title_full_unstemmed	Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres
title_sort	applying a model of technology diffusion to quantify the potential benefit of improved energy efficiency in data centres
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/dd35be1b973e466fa24de62bb51c9236
work_keys_str_mv	AT bryancoyne applyingamodeloftechnologydiffusiontoquantifythepotentialbenefitofimprovedenergyefficiencyindatacentres AT eleanordenny applyingamodeloftechnologydiffusiontoquantifythepotentialbenefitofimprovedenergyefficiencyindatacentres
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Applying a Model of Technology Diffusion to Quantify the Potential Benefit of Improved Energy Efficiency in Data Centres

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