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Talk45 min

Modelling Scenarios for Carbon-aware Geographic Load Shifting of Compute Workloads [Online]

Wim Vanderbauwhede · CERN

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About

We present a linear, statistics based analytical model to evaluate the reductions in CO2e emissions resulting from geographic load shifting. This model is optimistic as it ignores issues of grid capacity, demand and curtailment. In other words, real-world reductions will be smaller than the estimates. However, even with these assumptions, the presented scenarios show that the realistic reductions from carbon-aware geographic load shifting are small, of the order of 5%. This is not enough to compensate the growth in emissions from global data centre expansion.

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The talk

  1. Modelling Scenarios for Carbon-aware Geographic Load Shifting of Compute Workloads [Online] 2026-05-07 · 45 min · CERN's player

Credits and licence

Institution
CERN
Speaker
Wim Vanderbauwhede
Year
2026
Language
English
Subjects
Mathematics
Source
CERN
Licence
CERN, as CERN states it. CERN's terms
Attribution
© CERN. CERN provides its audiovisual media free of charge for educational and informational use, credited to CERN; this lecture is shown in CERN's own player.
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