aceModerate evidence
Published recordClimateGood Space
More
Whole-Life Carbon–Cost–Circularity Optimization for AI-Era Data Centers: A Robust Multi-Objective Framework Under Carbon Pricing Uncertainty
- Truvace record
- TRV-2026-2600raw data (JSON)
- Version
- v1Published
- First published
- Evidence type
- Benchmark or lab evaluation
- Sources
- 1 sourcePeer-reviewed
- sha256
- a8b9b814b894…check it
The explosive growth of artificial intelligence workloads has triggered unprecedented data center construction, yet environmental assessment remains focused on operational energy efficiency. This paper introduces DC-WLC3O, a framework that simultaneously optimizes three objectives across the full data center lifecycle: whole-life cost, whole-life carbon, and material circularity index. The framework integrates cradle-to-cradle lifecycle assessment with dynamic material flow analysis, employing a four-layer analy…
The gain
In a simulation of 192 design configurations for a 30 MW hyperscale data center, on-site renewable energy with a full circular economy strategy was the most robust option, and circularity correlated with lower lifecycle cost (rho = −0.488).
What this doesn’t fix
The cost–circularity finding weakened under stress tests, with stability falling to about 80% under worst-case capital cost assumptions and about 61% when generation degradation and battery replacement were considered together.
Sources
1 on file- Buildingsdoi:10.3390/buildings16152961
Cite this record
v1Truvace Impact Record TRV-2026-2600, v1: “Whole-Life Carbon–Cost–Circularity Optimization for AI-Era Data Centers: A Robust Multi-Objective Framework Under Carbon Pricing Uncertainty.” Truvace, 2026-11-12. /record/TRV-2026-2600 (accessed on the day you copy it). sha256 a8b9b814b8946f2c…
Change history
1 versionEvery change made to this record since it was first published, and why. Nothing has changed since it went up.
Certified into the record
Check this record hasn’t been altered
How to check it yourself, without trusting this page
Download any version from /api/record/TRV-2026-2600 and hash its canonical field yourself, for example with shasum -a 256. You should get its content_hash. Each version’s text also ends with prev:and the hash of the version before it (version 1 points to 64 zeros). If anyone had changed a single character of any version after it was saved, those hashes wouldn’t line up.