Estimating cross-border cloud computing emissions: A consumption-based approach applied to major European data center hubs

<h2>Summary</h2> Cloud computing's expansion creates a significant carbon footprint from data center energy consumption. Standard location-based accounting attributes cloud emissions to countries where data centers are located, potentially obscuring where actual demand lies when services are consumed across borders. This study develops a consumption-based accounting approach to estimate cross-border cloud emission flows among the EU's three largest data center hubs: Germany, Ireland, and the Netherlands, from 2017 to 2022. Using electricity consumption and emissions for data centers and telecommunications networks, we classify cloud activity as domestic (hosted and consumed within one country), export (domestic hosting, foreign consumption), or import (foreign hosting, domestic consumption). The analysis reveals distinct profiles: Germany's cloud footprint is predominantly domestic (75%), Ireland's is export-dominated (85% serves foreign consumers), and the Netherlands exhibits balanced flows. Consumption-based metrics can complement territorial accounting by revealing cross-border emission flows relevant to national climate planning and infrastructure policy decisions.

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Publication Details

Journal
iScience
Published
2026-05-22
DOI
https://doi.org/10.1016/j.isci.2026.116061
Primary Topic
Cloud Computing and Resource Management
Type
article
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article

Estimating cross-border cloud computing emissions: A consumption-based approach applied to major European data center hubs

Shoaib Azizi, Magdalena M. Klemun, Göran Finnveden, Anna Furberg et al.
iScience
Cloud Computing and Resource Management
article

Estimating cross-border cloud computing emissions: A consumption-based approach applied to major European data center hubs

Shoaib Azizi, Magdalena M. Klemun, Göran Finnveden, Anna Furberg, Masaru Yarime, Ian V. Soares
article en

Abstract

<h2>Summary</h2> Cloud computing's expansion creates a significant carbon footprint from data center energy consumption. Standard location-based accounting attributes cloud emissions to countries where data centers are located, potentially obscuring where actual demand lies when services are consumed across borders. This study develops a consumption-based accounting approach to estimate cross-border cloud emission flows among the EU's three largest data center hubs: Germany, Ireland, and the Netherlands, from 2017 to 2022. Using electricity consumption and emissions for data centers and telecommunications networks, we classify cloud activity as domestic (hosted and consumed within one country), export (domestic hosting, foreign consumption), or import (foreign hosting, domestic consumption). The analysis reveals distinct profiles: Germany's cloud footprint is predominantly domestic (75%), Ireland's is export-dominated (85% serves foreign consumers), and the Netherlands exhibits balanced flows. Consumption-based metrics can complement territorial accounting by revealing cross-border emission flows relevant to national climate planning and infrastructure policy decisions.

iScienceVol. 29(6)
Johns Hopkins University (US), Hong Kong University of Science and Technology (HK), University of Baltimore (US), KTH Royal Institute of Technology (SE), University of Hong Kong (HK)
Climate action
Openalex Percentile: Top 2%
Cloud Computing and Resource Management
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