Data center heat dissipation & detection

by @luiscosio

Explore data center cooling, heat dissipation and detection in an interactive 3D model, with satellite and local sensing methods and cited evidence.

The interactive model needs JavaScript and WebGL. The explanations and references below work without either.

How do data centers dissipate heat?

Cooling moves heat from the computers into air, water, the ground or a nearby user. The model shows towers, dry coolers, water outfalls, storage and heat reuse. Storage fills up, and reuse needs demand. [2] [33]

Can satellites detect data-center heat?

They measure infrared from exposed surfaces: roofs, ground and surface water. They can’t read server power or see a buried or underwater hall. Weather, sunlight, materials and pixel size all change what an image means. [56] [59] [16]

Is satellite imagery the only detection method?

No. You can also pick electrical metering, network activity, local sound, vibration and EM sensors, and on-site inspection. Each needs its own access and has its own limits. [13] [54] [12]

What does the evidence status mean?

Demonstrated: seen at real data centers. Analogue: seen in another kind of system. Proposed: a published proposal or simulation. Inference: our reading of cited facts. Gap: the reviewed sources don’t cover the claim. None of these is a probability. [1] [62] [16]

Why are some detection methods gray?

A gray method has nothing to look at in this setup. Dry cooling alone, for example, makes no tower plume. That’s a different thing from weak evidence or bad weather. [2] [23]

Is this a validated prediction of detection performance?

No. The scene is a drawing, and heat arrows show direction only. It predicts no temperatures, thresholds or probabilities. For real data, open a field example, starting with Colossus 1 under Land thermal IR. [59] [60]

Evidence labels

D · Demonstrated in data centers. The cited work documents this signal at data centers. That doesn’t mean every selected setup can be detected. Example: identifying cooling equipment in images of data centers. [1]

A · Observed in another system. Someone has seen this effect at another kind of site. Using it for this data-center setup is our extrapolation. Example: satellite images of warm-water outfalls at nuclear power plants. [62] [26]

P · Proposed or modelled. A published proposal or model supports the idea. The cited work hasn’t shown field detection of this setup. Example: estimates of the heat and sound signatures of subsea data centers. [16]

I · Inference from cited sources. This exhibit combines cited mechanisms or site facts in a way the sources haven’t tested. Example: a substation suggests large electrical capacity. Tying that capacity to a specific workload needs more evidence. [19]

? · Gap in reviewed evidence. The reviewed sources have no demonstration, analogue or model for this specific claim. It’s an open question. Context: the literature notes little evidence on hidden military data-center capacity. That doesn’t measure how detectable it is. [19]

— · No source in this selection. The selected heat path has nothing for this method to look at. That’s a fact about the model setup. It says nothing about the strength of the research. Example: dry cooling alone has no evaporative tower plume. [2] [23]

All facility settings, heat paths and detection methods · Plain-text overview

References

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[160] Mississippi Department of Environmental Quality, Office of Pollution Control, Air Division, “Determination on Portable Gas-Fired Combustion Turbines,” Public records response, Mississippi DEQ, received 2026-10-07. Letter to xAI, 29 Jul 2025, 1 p.

[161] Trinity Consultants for MZX Tech LLC, “RE: Portable Turbine Information,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 18 Aug 2025, 2 pp.

[162] Trinity Consultants for MZX Tech LLC, “Re: Portable Turbine Information,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 10 Sep 2025, 4 pp.

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[167] Trinity Consultants for MZX Tech LLC, “Updated Count & Emission Profiles,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 15 May 2026, with attachment "2026-0514 Temporary Turbine Emissions" (4 pp.); 6 pp. in all.

[168] Trinity Consultants for MZX Tech LLC, “RE: Updated Count,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 12 Jun 2026, 3 pp.

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[172] Trinity Consultants for MZX Tech LLC, “MZX Tech LLC - Bi-Weekly Turbine Removal Report for Commission Order 7739 26,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 12 Aug 2026, 1 p.

[173] Trinity Consultants for MZX Tech LLC, “MZX Tech LLC - Bi-Weekly Turbine Removal Report #2 for Commission Order 7739 26,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 26 Aug 2026, 1 p.

[174] Trinity Consultants for MZX Tech LLC, “Re: MZX Tech LLC - Bi-Weekly Turbine Removal Report #2 for Commission Order 7739 26,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 27 Aug 2026, 2 pp.

[175] Trinity Consultants for MZX Tech LLC, “MZX Tech LLC - Bi-Weekly Turbine Removal Report #3 for Commission Order 7739 26,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 9 Sep 2026, 1 p.

[176] Trinity Consultants for MZX Tech LLC, “CORRECTION - MZX Tech LLC - Bi-Weekly Turbine Removal Report #3 for Commission Order 7739 26,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 13 Sep 2026, 2 pp.

[177] Trinity Consultants for MZX Tech LLC, “CORRECTION - MZX Tech LLC - Bi-Weekly Turbine Removal Report #3 for Commission Order 7739 26 (second correction),” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 15 Sep 2026, 2 pp.

[178] Trinity Consultants for MZX Tech LLC, “MZX Tech LLC - Bi-Weekly Turbine Report #4 for Commission Order 7739 26,” Public records response, Mississippi DEQ, received 2026-10-07. Email to MDEQ, 23 Sep 2026, with "SCR Catalyst 24-Hour Temperature & Pressure Log" pages, 9 pp.

[179] Trinity Consultants for MZX Tech LLC, “Initial CEMS Certification and Relative Accuracy Test Audit Plan, Emission Group AA-000, Solar Titan Model PGM-130 Turbines,” Public records response, Mississippi DEQ, received 2026-10-07. Revision 1, 1 Sep 2026, sent to MDEQ 2 Sep 2026, 14 pp.

[180] Trinity Consultants for MZX Tech LLC, “Initial CEMS Certification and Relative Accuracy Test Audit Plan, Emission Group AB-000, Solar Titan 350 Turbines,” Public records response, Mississippi DEQ, received 2026-10-07. Revision 1, 1 Sep 2026, sent to MDEQ 2 Sep 2026.

[181] Trinity Consultants for MZX Tech LLC, “Initial CEMS Certification and Relative Accuracy Test Audit Plan, Emission Group AC-000, ProEnergy 6000PE Turbines,” Public records response, Mississippi DEQ, received 2026-10-07. Revision 1, 1 Sep 2026, sent to MDEQ 2 Sep 2026.

[182] Trinity Consultants for MZX Tech LLC, “MZX Property LLC / Greenfield Simple-Cycle Combustion Turbine Project PSD Permit Application Volume II,” Public records response, Mississippi DEQ, received 2026-10-07. File "2026-0101 MZX Tech LLC - Volume II - Ambient Air Modeling Analysis FINAL" in the modelling files.

[183] Trinity Consultants for MZX Tech LLC, “Duke NO2 1-hr NAAQS (AERMOD input file NO2o5yrNAAQS.ami),” Public records response, Mississippi DEQ, received 2026-10-07. Folder "Round_Three_1HR NO2 Modeling", file dated 9 Mar 2026; BREEZE AERMOD input text.

[184] Mississippi Department of Environmental Quality, Air Division, “Re: MZX Tech LLC - Certification of Construction Notices for Air Permit 0680-00119,” Public records response, Mississippi DEQ, received 2026-10-07. Email of 23 Sep 2026 replying to the consultant's email of 21 Sep 2026, 2 pp.