6.07

Who makes heat reuse for AI data centers

Heat exchangers and interconnection equipment that export waste heat from a data center's cooling loop into a district heating network or other end use instead of rejecting it to atmosphere.

Taps the facility water loop (6.05) — typically its warmer, IT-heat-carrying side — and routes it through a heat exchanger, and where the reuse temperature needs boosting, a large heat pump, into a district heating network or process-heat customer, displacing some of the heat-rejection equipment (6.02) a site would otherwise need. Adoption is concentrated where district heating networks already exist and local economics or regulation favor it, so it remains a minority design choice rather than a default. Higher-temperature liquid-cooling loops in AI racks produce warmer reject water than legacy air-cooled facilities, which is exactly the direction that makes heat reuse more thermodynamically attractive, since a heat pump has less work to do raising an already-warm source to district-heating temperature. Investors should treat this as a niche but growing interconnection market tied to specific geographies with district heating infrastructure, not a broad-based demand driver across the layer.

AI delta: Liquid-cooled AI racks run their facility loop hotter than legacy air-cooled halls, producing waste heat closer to the temperature district heating networks need and lowering the heat-pump work required to reuse it.

Appears at:Large colo / hyperscale buildingAI campusGW-class campus· cooling:liquidhybrid — Presence depends on site-specific access to a district heating network or heat customer rather than on facility size alone; more thermodynamically attractive at ai_campus and gw_class sites running hotter liquid-cooled loops.

Companies on this part (10)

CompanyRoleOwnershipTickerPrice1dConfidenceNote
Alfa LavalmanufacturerpublicALFA.ST540 SEK-0.2%inferred
CarriermanufacturerpublicCARR56.24 USD+0.4%inferred
Everllence · unit of VWmanufacturersubsidiaryVOW3.DE*inferred
FortummanufacturerpublicFORTUM.HE23.09 EUR+0.5%disclosed · source
Siemens EnergymanufacturerpublicENR.DE119 EUR-2.0%inferredlarge heat pumps
TranemanufacturerpublicTT445 USD-0.9%inferred
Danfossmanufacturerprivatedisclosed · source
Kelvionmanufacturerprivatedisclosed · source
Qarnotmanufacturerprivatedisclosed · source
Vattenfallmanufacturerstateinferred

Who competes here

The same table read the other way: every company above competes for heat reuse & district heating interfaces sockets. Confidence tags matter — an inferred placement is a lead, not a confirmed rivalry.

Seen in real machines

heat reuse & district heating interfaces is named in 1 of the rack teardowns and supercomputer breakdowns on this site. Each line below is a piece of that machine. The companies shown are the ones named on that line, not necessarily the maker of this part.

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Questions about heat reuse & district heating interfaces

What are heat reuse & district heating interfaces?
Heat exchangers and interconnection equipment that export waste heat from a data center's cooling loop into a district heating network or other end use instead of rejecting it to atmosphere.
Which companies make heat reuse for AI data centers?
This catalog lists 10 companies on Heat reuse & district heating interfaces, 6 of them with listed equity: Alfa Laval, Carrier, Everllence, Fortum, Siemens Energy, Trane, Danfoss, Kelvion, Qarnot, Vattenfall.
How does AI change demand for heat reuse & district heating interfaces?
Liquid-cooled AI racks run their facility loop hotter than legacy air-cooled halls, producing waste heat closer to the temperature district heating networks need and lowering the heat-pump work required to reuse it.
How reliable are these heat reuse & district heating interfaces supplier placements?
The 10 placements on this part break down as 4 disclosed, 6 inferred. "disclosed" means the company or a filing says so; "reported" comes from trade press or a reference-design list; "inferred" is a taxonomy lead with no citation yet.

Sources: placements without a source URL come from the taxonomy seed and are tagged accordingly. How this data is built.· Markdown · JSON