Design for circularity - a data centre equipment case study

Abstract Data centres house equipment that processes and stores digital information and consequently the data centre industry provides essential services to all users of digital technology around the world. The sector has grown very rapidly since the introduction of the World Wide Web in 1989 and by 2025 68% of the global population had access to the internet. The introduction and development of Artificial Intelligence (AI) is fuelling further considerable expansion of the data centre industry along with increasing demand for resources including energy, water, land and materials. To date the design of data centre equipment has focused on the use phase with little or no consideration of what happens to equipment at end-of-life and consequently, millions of tonnes of valuable resources are being wasted. New AI-enabled products are already being designed and manufactured and there is an increasingly urgent need to incentivise change and move from linear to circular design to increase resource efficiency, ensure supply chain security and increase data centre sustainability. This article presents a case study of a prototype circular server to demonstrate the benefits of products that enable straightforward product life extension and increase recycling and materials reclamation at end-of-life. The environmental impacts of the circular server are then quantified and compared with those of a ‘standard’ non-circular server. The results illustrate that across various life cycle scenarios and time periods the impact of the circular server is consistently lower than that of a standard server which supports change in design strategies in the data centre industry.

Authors

Institutions

Publication Details

Journal
Mineral Economics
Published
2026-01-15
DOI
https://doi.org/10.1007/s13563-025-00587-7
Primary Topic
Sustainable Supply Chain Management
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design for circularity - a data centre equipment case study

Kristina Kerwin, Deborah Andrews
Mineral Economics
Sustainable Supply Chain Management
article

Design for circularity - a data centre equipment case study

Kristina Kerwin, Deborah Andrews
article en

Abstract

Abstract Data centres house equipment that processes and stores digital information and consequently the data centre industry provides essential services to all users of digital technology around the world. The sector has grown very rapidly since the introduction of the World Wide Web in 1989 and by 2025 68% of the global population had access to the internet. The introduction and development of Artificial Intelligence (AI) is fuelling further considerable expansion of the data centre industry along with increasing demand for resources including energy, water, land and materials. To date the design of data centre equipment has focused on the use phase with little or no consideration of what happens to equipment at end-of-life and consequently, millions of tonnes of valuable resources are being wasted. New AI-enabled products are already being designed and manufactured and there is an increasingly urgent need to incentivise change and move from linear to circular design to increase resource efficiency, ensure supply chain security and increase data centre sustainability. This article presents a case study of a prototype circular server to demonstrate the benefits of products that enable straightforward product life extension and increase recycling and materials reclamation at end-of-life. The environmental impacts of the circular server are then quantified and compared with those of a ‘standard’ non-circular server. The results illustrate that across various life cycle scenarios and time periods the impact of the circular server is consistently lower than that of a standard server which supports change in design strategies in the data centre industry.

Mineral EconomicsVol. 39(1)
London South Bank University (GB)
Openalex Percentile: Top 89%
Sustainable Supply Chain Management
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.