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Bettesworth Construction
building construction

How Data Centers Reuse Waste Heat to Warm Nearby Buildings

Data centers can provide heat to nearby buildings through heat exchangers, heat pumps and local or district-heating networks. Temperature, distance, demand and backup shape what each project can deliver.

By Bettesworth Construction Team 8 min read
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Data centers can warm nearby buildings by capturing heat from server cooling systems, transferring it to a water loop and, when needed, using a heat pump to raise its temperature for a building or district-heating network. Whether it works depends on the source temperature, the receiving system’s requirements, the distance to users, heat demand and backup arrangements.

How does data-center waste heat reach a building?

Servers release heat while operating, and a data center’s cooling system carries that heat away to keep equipment within its operating conditions. Heat recovery adds an interface to that cooling process: a heat exchanger transfers heat from the cooling stream to a separate water loop. The separate loop can then deliver heat to a nearby building or connect to a district-heating network.

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The distinction between heat captured and heat that a building can use is important. A stream can contain useful energy but be too cool for the receiving system’s required supply temperature. In that situation, a heat pump raises the temperature before delivery. If the source temperature is already suitable for a nearby low-temperature use, heat may be used more directly. The Joint Research Centre identifies offices, industrial buildings and swimming pools among possible nearby users, and notes that heat pumps may be needed when the source temperature is too low for direct reuse.

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The basic arrangement is therefore not simply a pipe from servers to radiators. It is a chain of connected systems: data-center cooling, heat transfer, any temperature upgrading, distribution piping and the building or network that can absorb the heat. Each interface has to suit the next one. The cooling system must continue to serve the data center, while the receiving side must be able to accept the heat at the temperature and times it is available.

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Why does delivery temperature matter?

Heat is useful only when its temperature matches the receiving system’s needs, or can be raised economically and technically to meet them. There is no single required delivery temperature for every building or district-heating network. The examples illustrate different source and target temperatures: in Odense, a heat pump raises data-center heat from 27°C to 70°C; in the Geneva-area Infomaniak case, server heat is raised from 45°C to 67°C in summer and as high as 85°C in winter, in line with requirements reported by the local network operator.

Those values are examples, not a universal specification. The Val d’Europe case study reports heat-exchanger supply temperatures of 48–55°C, while the Mäntsälä case describes heat extracted at around 40°C and upgraded to approximately 85°C for the district-heating network. The differences show why a proposal needs to state both the source conditions and the recipient’s required supply conditions. Quoting one temperature alone does not show whether the heat can be used directly or what additional equipment is needed.

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A heat pump changes the temperature of heat for delivery; it does not remove the need for a compatible connection and a heat user. The project figures below refer to distinct sites and system boundaries. A reported heat-pump capacity, extractable thermal capacity, annual heat output and household equivalent are not interchangeable measures.

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What do existing projects show?

Published examples demonstrate several configurations: integration with an existing district-heating system, a local scheme currently using data-center heat, and a network planned around a data center. Their reported outputs and household equivalents describe the named projects and should not be treated as expected performance at another site.

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Project and source Reported heat and temperatures Network, use or project status
Odense, Denmark — European Commission large-heat-pump technology report 42 MWth of heat-pump capacity; 160,000 MWh of district heat annually; source heat raised from 27°C to 70°C Integrated with district heating; the report says supply is equivalent to 11,000 households. Publication date is not stated in the retrieved report extract.
Tallaght, Ireland — Sustainable Energy Authority of Ireland Data-center waste heat supplies the scheme’s current heat supply; comparable capacity and temperature figures are not stated by the source. The operating district-heating scheme supplies public and residential buildings. An electric boiler provides peak-load backup. The agency also describes plans to add sources such as geothermal and solar thermal as the system grows.
Val d’Europe, France — European Commission Smart Cities Marketplace case study, published 13 March 2023 7.8 MW of extractable thermal capacity; heat-exchanger supply temperatures of 48–55°C A planned local network includes four kilometres of distribution pipelines. The case estimates that the data center could provide 90% of connected buildings’ future heat needs; a gas boiler is described for temperature boosting and peak demand.
Geneva area — Trane’s Infomaniak case 1.7 MW of recovered heat; estimated annual output of 14.9 GWh. Two heat pumps raise server heat from 45°C to 67°C in summer and up to 85°C in winter. Case figures are reported by Trane; its retrieved page extract does not state a publication date.
Mäntsälä, Finland — ReUseHeat/Celsius Initiative case catalogue 4.0 MW of heat-pump capacity; heat extracted at around 40°C and upgraded to approximately 85°C; potential COP above 4.0 The catalogue reports capacity equivalent to heating 1,500 homes. These are case-specific figures; the retrieved extract does not state a publication date.

The Odense report and the Mäntsälä catalogue express scale in different ways: one reports heat-pump capacity and annual district heat, while the other gives heat-pump capacity, a potential coefficient of performance and a household equivalent. Val d’Europe reports extractable thermal capacity, not the same measure as heat-pump capacity. Infomaniak’s annual output is reported as an estimate. These distinctions matter when comparing proposals or calculating what a building could receive.

For Tallaght, the Sustainable Energy Authority of Ireland describes a scheme whose current heat supply comes entirely from waste heat from a nearby data center, with an electric boiler for peak-load backup. Its account also describes potential additional sources as the scheme grows. That is different from the Val d’Europe case, which describes a network planned around a data center and a gas boiler for boosting temperature and peak demand. Neither arrangement establishes a preferred design for other projects.

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What makes a heat-reuse project practical?

The Joint Research Centre identifies proximity to potential users as a factor in heat reuse. A nearby heat user may make a connection more practical, but distance alone does not establish feasibility: the source and delivery temperatures, the route and cost of connecting infrastructure, and the amount of heat that users can take also matter. A proposal should assess the whole route from the data-center cooling loop to the point where a building or network can use the heat.

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  • Source heat and cooling interface: Establish the source temperature and available heat rate, and identify how heat will be transferred without compromising the data center’s cooling operation.
  • Delivery temperature: Compare the source conditions with the receiving building or network’s stated requirements. Determine whether direct use is possible or whether a heat pump must raise the temperature.
  • Distance and connection: Identify nearby users and the connection required to reach them. If no suitable network exists, distinguish the cost and complexity of creating distribution infrastructure from the heat-recovery equipment itself.
  • Demand over time: Check whether connected users can absorb heat when it is available. A connection’s nominal capacity does not by itself show how much heat will be used over a year.
  • Backup and other sources: Determine how peak demand and periods when recovered heat is insufficient or cannot be taken will be handled. Tallaght and Val d’Europe illustrate different reported backup arrangements.
  • Reported system boundary: For every quoted number, ask whether it refers to heat-pump capacity, extractable heat, recovered heat, delivered heat, annual output or a household equivalent. Check the named project’s definition before comparing figures.
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How should a building or construction team assess a proposal?

For a building project, the useful starting point is not a generic claim about the amount of heat a data center produces. It is a site-specific connection and demand question: what heat can be delivered at the building interface, at what temperature, and when can the building use it? That framing helps keep the data-center cooling system, heat-recovery equipment and building-side installation within a coherent design discussion.

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  1. Define the receiving load. Identify which nearby buildings or network could use heat, what supply conditions they require, and whether their demand coincides with the heat available. Do not treat the total heat produced by servers as equal to heat that a building will receive.
  2. Set the temperature interface. Record the data-center heat source conditions and the recipient’s required delivery temperature. Decide whether the connection can use heat directly or needs a heat pump; the project examples show that the temperature lift differs by site and season.
  3. Map the connection. Establish whether an existing district-heating network can accept the heat or whether a local distribution network must be built. The Odense example is integrated into district heating; the Val d’Europe case describes a planned network with four kilometres of pipelines.
  4. Specify backup and operating roles. State what supplies peak demand or covers times when recovered heat is unavailable or insufficient. The cited schemes use different approaches, so the backup arrangement has to be assessed for the project rather than assumed.
  5. Make performance claims auditable. Label every capacity and energy figure with its system boundary, source and project. Separate estimates from reported operating figures, and state the basis for any household equivalent or emissions estimate.

This sequence helps expose mismatches early. A building may be close to a data center yet still require a temperature lift or new distribution route; conversely, a network connection does not prove that demand will be sufficient throughout the year. The project should be evaluated as a coordinated energy and building-services connection, rather than as a heat exchanger in isolation.

What can project figures—and emissions claims—tell you?

Project statistics are useful for understanding what a named scheme reports, but they do not establish a universal amount of energy or number of buildings that another data center can serve. The European Commission’s Odense report gives 42 MWth of heat-pump capacity, annual district heat of 160,000 MWh and an equivalent of 11,000 households. Those values belong to that project and report. Similarly, the Val d’Europe case’s estimate that the data center could provide 90% of future heat needs applies to its planned connected buildings, not to buildings in general.

The Val d’Europe case study also estimates more than 4,000 tonnes of CO2-equivalent savings annually. This is a project-specific estimate, not a typical emissions reduction for data-center heat reuse. The available examples do not establish a universal savings statistic. Any emissions comparison should therefore be presented with the project and its stated methodology, rather than extrapolated from a different network or building.

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When reviewing a claim, keep four questions together: which project is being described, which quantity was measured or estimated, what part of the system the quantity covers, and what source made the claim. This is especially important for annual heat, household equivalents and emissions savings, since those numbers are meaningful only in relation to the named system and its assumptions.

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