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

          @misc{ scivideos_oai:cds.cern.ch:3025622,
            doi = {},
            url = {https://videos.cern.ch/record/3025622},
            author = {},
            keywords = {},
            language = {en},
            title = {Modelling Scenarios for Carbon-aware Geographic Load Shifting of Compute Workloads [Online]},
            publisher = {},
            year = {2026},
            month = {may},
            note = {oai:cds.cern.ch:3025622 see, \url{https://scivideos.org/cern-cds/3025622}}
          }
          

Abstract

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.

00:00:00 Slide 1
00:01:00 Slide 2
00:01:17 Slide 3
00:02:11 Slide 4
00:03:24 Slide 5
00:04:17 Slide 6
00:04:53 Slide 7
00:05:27 Slide 8
00:06:00 Slide 9
00:06:30 Slide 10
00:07:11 Slide 11
00:07:37 Slide 12
00:07:54 Slide 13
00:08:38 Slide 14
00:09:43 Slide 15
00:10:27 Slide 16
00:11:15 Slide 17
00:12:15 Slide 18
00:12:37 Slide 19
00:13:18 Slide 20
00:13:56 Slide 21
00:14:31 Slide 22
00:16:36 Slide 23
00:17:34 Slide 24
00:17:56 Slide 25
00:18:37 Slide 26
00:18:52 Slide 27
00:20:30 Slide 28
00:21:24 Slide 29
00:22:31 Slide 30
00:23:25 Slide 31
00:23:51 Slide 32
00:24:40 Slide 33
00:26:14 Slide 34
00:27:28 Slide 35
00:27:51 Slide 36
00:30:16 Slide 37
00:30:51 Slide 38
00:31:44 Slide 39
00:32:32 Slide 40
00:32:57 Slide 41
00:34:19 Slide 42
00:34:37 Slide 43
00:34:57 Slide 44
00:36:24 Slide 45
00:37:07 Slide 46
00:38:16 Slide 47
00:38:54 Slide 48
00:39:27 Slide 49
00:40:07 Slide 50
00:40:20 Slide 51
00:40:32 Slide 52
00:40:49 Slide 53
00:41:00 Slide 54
00:41:22 Slide 55
00:41:45 Slide 56
00:41:57 Slide 57
00:42:40 Slide 58
00:43:15 Slide 59
00:43:25 Slide 60
00:44:13 Slide 61
00:44:26 Slide 62
00:44:41 Slide 63