Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/113048
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Building Environment and Energy Engineering | en_US |
dc.contributor | Research Institute for Smart Energy | en_US |
dc.creator | Zhang, Y | en_US |
dc.creator | Li, H | en_US |
dc.creator | Wang, S | en_US |
dc.date.accessioned | 2025-05-19T00:52:21Z | - |
dc.date.available | 2025-05-19T00:52:21Z | - |
dc.identifier.issn | 0306-2619 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/113048 | - |
dc.language.iso | en | en_US |
dc.publisher | Pergamon Press | en_US |
dc.rights | © 2025 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/). | en_US |
dc.rights | The following publication Zhang, Y., Li, H., & Wang, S. (2025). Decarbonizing data centers through regional bits migration: A comprehensive assessment of China's ‘eastern data, Western computing’initiative and its global implications. Applied Energy, 392, 126020 is available at https://doi.org/10.1016/j.apenergy.2025.126020. | en_US |
dc.subject | Carbon emission reduction | en_US |
dc.subject | Cooling energy | en_US |
dc.subject | Cost saving | en_US |
dc.subject | Data center | en_US |
dc.subject | Data transmission | en_US |
dc.subject | Decarbonization | en_US |
dc.subject | Energy saving | en_US |
dc.title | Decarbonizing data centers through regional bits migration : a comprehensive assessment of China's ‘eastern data, western computing’ initiative and its global implications | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 392 | en_US |
dc.identifier.doi | 10.1016/j.apenergy.2025.126020 | en_US |
dcterms.abstract | As the world transitions towards a low-carbon economy, the data center industry is under increasing pressure to reduce its energy consumption and greenhouse gas emissions. To address this challenge, the Chinese government has launched an ambitious initiative, called ‘Eastern Data, Western Computing’, which aims to migrate computing workloads from electricity-deficient Eastern regions to renewable-rich Western regions. We therefore conduct a comprehensive assessment of its energy, economic and carbon impacts by analysing three major migration routes. We found that ‘moving bits’ is much more energy efficient than ‘moving watts’, but not necessarily beneficial for decarbonization. The national initiative shows significant energy-saving potential, 332–942 GWh (4.8–12.5 %) annually, attributed to reduced cooling energy and eliminated power-transmission loss. However, no economic benefit is observed if considering the high capital costs for constructing duplicated data centers in Western regions. The carbon emission benefits in different routes are significantly different. Shanghai-Sichuan route could reduce carbon emissions by up to 2803 KtCO2e (79.6 %) annually, whereas Beijing-Inner Mongolia route exhibits a notable increase (1164 KtCO2e (24.9 %)) in carbon emissions. Our findings has broader applicability beyond China, extending to other regions worldwide, and can inform the development of effective strategies for decarbonizing global data center industry. | en_US |
dcterms.accessRights | open access | en_US |
dcterms.bibliographicCitation | Applied energy, 15 Aug. 2025, v. 392, 126020 | en_US |
dcterms.isPartOf | Applied energy | en_US |
dcterms.issued | 2025-08-15 | - |
dc.identifier.scopus | 2-s2.0-105004265001 | - |
dc.identifier.eissn | 1872-9118 | en_US |
dc.identifier.artn | 126020 | en_US |
dc.description.validate | 202505 bchy | en_US |
dc.description.oa | Version of Record | en_US |
dc.identifier.FolderNumber | OA_TA | - |
dc.description.fundingSource | RGC | en_US |
dc.description.pubStatus | Published | en_US |
dc.description.TA | Elsevier (2025) | en_US |
dc.description.oaCategory | TA | en_US |
Appears in Collections: | Journal/Magazine Article |
Files in This Item:
File | Description | Size | Format | |
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1-s2.0-S0306261925007500-main.pdf | 3.66 MB | Adobe PDF | View/Open |
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