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Data-center waste heat can be cheaper than conventional district-heating supply, but only when the heat source, network temperature, electricity price, connection distance and seasonal demand line up. The strongest published result in the available evidence is a 2025 model for Göttingen, Germany: recovering data-center heat without large-scale storage had €1.9–2.6 million in modeled capital expenditure and €0.34–0.52 million in annual savings against that model’s business-as-usual case. Those figures are not a universal tariff or a quotation. A Finnish operational study found 0.6–7.3% system operating-cost savings when 20–60 MW of data-center heat was integrated into a district-heating system.
The practical comparison is therefore not “free waste heat versus a boiler.” It is a complete system calculation covering capture and cooling changes at the data center, heat pumps and electricity, the district-heating connection, backup generation, storage, financing and the production that the recovered heat actually displaces.
When can data-center waste heat beat conventional district heating?
Recovered heat is most likely to compete when a data center is close to a district-heating network, the network can accept heat at a relatively low supply temperature, demand is available for many hours of the year, and electricity for the required heat pump is reasonably priced. A project becomes harder to justify when the network requires very hot water, the data center is far from the pipe route, winter demand is poorly matched to available heat, or the utility must fund expensive storage and backup capacity.
The European Commission’s 2024 recommendation says a feasibility analysis should examine useful capture temperature, ancillary energy, local and seasonal demand, technical feasibility, financing, risk and expected returns. Its definition of economic feasibility is whether a project can generate enough value to cover its costs while providing a reasonable return for the risk taken. Read the recommendation in full at European Commission Recommendation (EU) 2024/2395.
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- Temperature fit: lower-temperature networks generally need less heat-pump lift.
- Utilisation: a steady source and a nearby load improve the number of useful operating hours.
- Cost boundary: a low marginal heat price is not the same as a low levelized heat cost or a low customer tariff.
- Displaced production: savings depend on whether recovered heat displaces gas, coal, biomass, CHP output or another heat pump.
- Risk allocation: the data-center owner and the utility may face different capital, operating and reliability costs.
What the Göttingen model actually found
A 2025 study in Energy Conversion and Management compared data-center heat recovery for district-heating networks designed for different generations and temperatures in Göttingen, Germany. The paper, Comparative analysis of scenarios of data center waste heat utilization for district heating networks of different generations, is available at https://doi.org/10.1016/j.enconman.2025.119856.
In the modeled recovery-only cases, approximately 70% of the considered heating and cooling demand was covered. Adding shallow borehole thermal-energy storage increased modeled coverage by about 20% more, but required much more capital. The model’s annual savings are relative to its own business-as-usual scenario, load profiles, equipment assumptions and energy prices.
| Scenario | Modeled capital expenditure | Demand coverage | Modeled annual savings versus BAU |
|---|---|---|---|
| Data-center heat recovery | €1.9–2.6 million | Around 70% of considered heating and cooling demand | €0.34–0.52 million |
| Heat recovery plus shallow borehole thermal storage | €6.1–7.2 million | About 20% more demand coverage than recovery alone | Not reported as the economically strongest option under the study assumptions |
The recovery-only configuration was the economically strongest of the scenarios evaluated. Storage offered additional demand coverage and potential carbon-dioxide benefits, yet the model indicated that storage would need a substantial cost reduction or a different relationship between heat and electricity prices to become economical under those assumptions.
Network temperature changes both cost and value
The Göttingen results show why a single euro-per-megawatt-hour figure cannot represent “data-center heat.” At lower design supply temperatures, the heat pump has less temperature lift to provide. The study reported the following levelized heat costs and average marginal waste-heat prices for its modeled network designs:
| Design supply temperature | Modeled levelized heat cost | Modeled average marginal waste-heat price |
|---|---|---|
| 120°C | €124/MWh | €48/MWh |
| 95°C | €119/MWh | €56/MWh |
| 70°C | €94/MWh | €90/MWh |
| 48°C | €88/MWh | €93/MWh |
These are modeled results for the Göttingen case, not current heat tariffs, vendor prices or universal levelized costs. The two columns also measure different things: levelized heat cost spreads the relevant investment and operating costs over modeled heat production, while marginal waste-heat price represents the modeled additional price at a given network temperature. The paper notes that lower-temperature networks can leave more room for operator profit when the waste-heat price is held constant across network temperatures.
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What the Göttingen numbers include—and what they do not prove
The study provides a useful scale for a campus-scale project, but it does not establish a Europe-wide price. Its figures depend on the north-campus load profile, the selected heat-recovery and heat-pump equipment, assumed electricity and heat prices, financing and cost allocation. A city with a different network temperature, pipe distance, electricity contract or demand profile could obtain a materially different result.
What the Espoo case adds
A 2017 Energy study examined the use of 20–60 MW of data-center waste heat in Espoo, Finland, including prospects for low-temperature district-heating networks. Across its modeled scenarios, integrating the data-center heat reduced system operating costs by 0.6–7.3%. The study is available at https://www.sciencedirect.com/science/article/pii/S0360544217314548.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallThat percentage is a district-heating-system result. It is not a guaranteed saving for the data-center owner, nor does it mean that every customer’s bill falls by the same amount. The range reflects scenario design and procurement-price effects. Espoo and Göttingen also use different years, climates, network designs, model boundaries and cost metrics, so their percentages and euro values should not be combined into a single benchmark.
Why “conventional district heating” is not one competitor
District heating is an infrastructure arrangement rather than a single fuel. A network may use heat-only boilers, combined heat and power, biomass, large heat pumps, geothermal wells, solar thermal fields, recovered industrial heat or combinations of these. The relevant comparison is the heat that would actually be produced or purchased at the margin in the target network.
For historical context, a European Commission staff working document reported this EU-27 district-heating supply mix for 2018:
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| Supply category | Share of EU-27 district heat in 2018 |
|---|---|
| Natural gas | 30.1% |
| Biomass, biofuels and renewable waste | 26.9% |
| Coal and peat | 26.7% |
The figures are historical EU aggregates, not current shares for a particular country or network. The Commission document also presents indicative upfront-cost and operation-and-maintenance assumptions for natural gas, coal, biomass, solar thermal, geothermal and heat-pump technologies. Those assumptions can help frame a study, but they should not be treated as a present-day project quote. See European Commission staff working document CELEX 52021SC0621.
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Gas and other heat-only boilers
Boilers are dispatchable and familiar, which can make them valuable for peak demand and backup. Their economics depend on fuel cost, emissions costs, efficiency, operating hours and the production they displace. Comparing a data-center project with only the boiler’s fuel price ignores heat pumps, connection works, maintenance, financing and backup requirements on the recovery side.
Combined heat and power
CHP produces heat and electricity together. A fair comparison must assign value and costs to both products and account for power-market conditions. Recovered data-center heat may displace CHP heat while changing the plant’s electricity opportunity, so a heat-only comparison can misstate the system effect.
Biomass, geothermal, solar thermal and large heat pumps
These options have different resource limits, capital intensity, operating profiles and temperature capabilities. Biomass depends on sustainable fuel supply and logistics; geothermal depends on local geology and drilling risk; solar thermal is weather- and season-dependent; large heat pumps depend on electricity prices and a suitable heat source. European Commission material identifies all of these as district-heating options, but the evidence does not support a universal ranking. A broader overview is available from the Commission’s Overview of heating and cooling.
The complete cost boundary
Project teams often disagree because they count different costs. Put every item into the same appraisal before comparing alternatives.
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| Cost or value component | What to measure | Why it changes the result |
|---|---|---|
| Data-center heat capture | Cooling-system changes, heat exchangers, pumps, controls and site works | Low-grade heat is not usable until it can be transferred safely and continuously. |
| Heat-pump and electrical system | Heat-pump capital, electricity consumption, transformer capacity, tariffs and maintenance | Higher network temperatures require more lift and usually more electricity. |
| Connection and network pipework | Route length, pipe diameter, civil works, substations, metering and controls | A short connection can make a project viable; long or difficult routes can dominate capital cost. |
| Utility production displaced | Marginal boiler, CHP, heat-pump or purchased-heat cost at each operating hour | Recovered heat saves more when it displaces expensive or carbon-intensive production. |
| Storage | Tank or borehole installation, pumps, controls, land, charging losses and financing | Storage can improve timing and coverage but adds capital and energy losses. |
| Backup and resilience | Peak boilers, redundancy, maintenance outages and contingency fuel | The network still needs dependable service when data-center heat or equipment is unavailable. |
| Risk and return | Financing, contract duration, performance guarantees and allocation of overrun risk | The utility and data-center owner may have different required returns and risk tolerance. |
Equipment and network conditions required
1. A recoverable heat stream
The data center must expose heat at a temperature and flow rate that can be measured and controlled. The capture design may require a heat exchanger between the cooling loop and the district-heating interface. The system should define operating limits, water quality, pressure separation, metering and isolation so that a fault on one side does not compromise the other.
2. A heat pump sized for the actual lift
Most data-center heat is below the supply temperature of older district-heating systems. A heat pump raises the temperature, using electricity in proportion to the required lift and operating conditions. A low-temperature network can therefore improve both efficiency and usable output, while a 95°C or 120°C design may require more electrical input and different equipment than a 48°C design.
3. A nearby connection with adequate capacity
The district-heating system needs a pipe route, substation and hydraulic capacity at the point of connection. The appraisal should model supply and return temperatures, pressure losses, seasonal flow, metering and commissioning. Connection costs belong in the comparison even when the heat itself is offered at a low price.
4. Demand that overlaps the source
Data centers can operate for long periods, but useful recovery still depends on when buildings need heat and hot water. The Commission specifically calls for seasonal demand to be included in cost-benefit analysis. If summer demand is low, storage, heat rejection or another customer may be needed; if winter peaks exceed recovered output, conventional backup remains necessary.
5. A commercial and operational interface
A contract should specify delivered temperature, minimum and maximum flow, availability, planned outages, emergency shutdown, metering, ownership of equipment, electricity responsibility and payment for rejected or curtailed heat. It should also define what happens when the data center expands, changes cooling technology or temporarily reduces its heat output.
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How to compare a project step by step
- Define the boundary. Decide whether the decision is from the data-center owner’s perspective, the district-heating utility’s perspective or the combined system perspective. State whether the result is a marginal heat price, levelized heat cost, total operating cost or customer tariff effect.
- Measure the source. Record hourly heat output, temperature, flow, availability, cooling configuration and planned growth. Use measured profiles where possible rather than a nameplate IT-load estimate.
- Characterise the network. Record design and actual supply and return temperatures, peak and annual demand, available connection capacity, pressure requirements and the marginal production unit displaced in each season.
- Model the heat pump. Calculate electricity use across the temperature lift and operating range. Include electrical connection upgrades, demand charges, maintenance and efficiency degradation.
- Price the connection. Include heat exchangers, substations, pipework, excavation, land, controls, metering, permitting and commissioning. Test alternative routes and connection points.
- Test timing options. Compare direct recovery, thermal storage, controlled curtailment and a hybrid with conventional backup. Quantify how much additional demand each option serves and at what capital cost.
- Compare displaced technologies. Use the network’s marginal gas, biomass, CHP, geothermal, solar-thermal or large-heat-pump production—not a generic fuel price. Include emissions costs and the value of co-produced electricity where relevant.
- Run sensitivities. Vary electricity and fuel prices, heat-pump performance, network temperature, operating hours, connection cost, financing rate, heat availability and contract duration. Identify the assumptions that change the ranking.
- Assign risk. Decide who pays if output is lower, the network temperature changes, equipment fails, the data center relocates or demand declines. A technically attractive project may be commercially unacceptable if one party carries all of that risk.
- Set a go/no-go threshold. Approve only if the combined project meets the required return, reliability and emissions criteria under realistic downside cases—not only the central forecast.
Operational trade-offs beyond the spreadsheet
Potential advantages of data-center heat
- It can use energy that would otherwise be rejected to the environment.
- Output may be relatively steady and locally available, reducing dependence on a fuel delivery chain.
- It can reduce operation of fossil-fuel equipment when the recovered heat is available and the network can accept it.
- It can support lower-temperature district-heating development, where the required heat-pump lift is smaller.
Limitations and risks
- Low source temperature can require substantial heat-pump capacity and electricity.
- The data center and heat demand may be in different locations or have different peak seasons.
- A network still needs backup for maintenance, outages, extreme weather and growth beyond the recovered output.
- Storage can improve coverage but may add several million euros of capital, as shown by the Göttingen scenarios.
- Benefits can be split unevenly: the utility may save fuel while the data-center owner pays for cooling modifications, or vice versa.
- Long contracts may be needed to justify infrastructure, exposing both parties to technology, demand and electricity-price risk.
Why results cannot be transferred from one city to another
Göttingen and Espoo answer different questions. Göttingen reports project capital expenditure, levelized heat costs, marginal waste-heat prices and annual savings for a 2025 modeled case. Espoo reports system operating-cost changes for 20–60 MW integration in a 2017 Finnish case. Neither establishes a current European average.
At minimum, a transferable comparison would need the same:
- network supply and return temperatures;
- data-center heat profile and availability;
- climate and annual demand profile;
- electricity, fuel, carbon and financing prices;
- pipe distance and civil-engineering conditions;
- heat-pump performance and equipment life;
- storage, backup and redundancy assumptions;
- cost allocation and required return for each party.
Even the conventional baseline changes by country and utility. The EU-27 2018 mix shows why a gas-heavy network and a biomass- or CHP-heavy network will value the same recovered megawatt-hour differently. The International Energy Agency reports that district-energy networks serve around 600 million people worldwide, but that broad figure does not identify the share supplied by data centers or predict project economics; see Renewables in District Energy.
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Recovered heat can lower emissions when it displaces a more carbon-intensive marginal source. The result is not automatic: the heat pump consumes electricity, and the displaced unit may already be a low-carbon heat pump, geothermal plant or renewable CHP. The emissions calculation should therefore use hourly or seasonal marginal generation and the electricity mix relevant to the project.
Reliability must be evaluated separately from annual energy yield. A data center may have high availability requirements, but that does not guarantee that every hour of its thermal output is deliverable to the district network. The district system must retain dispatchable capacity or another firm arrangement for heat-pump outages, data-center maintenance, network faults and peak loads.
Common mistakes that produce misleading comparisons
- Calling waste heat free: capture equipment, electricity, connection works and controls still cost money.
- Comparing unlike metrics: a marginal waste-heat price, levelized heat cost and utility operating-cost saving answer different questions.
- Ignoring temperature: the same source can look attractive on a 48°C network and expensive on a 120°C network.
- Using annual averages only: seasonal mismatch can force curtailment, storage or backup.
- Transferring a percentage from another city: Espoo’s 0.6–7.3% range and Göttingen’s €0.34–0.52 million savings belong to their own scenarios.
- Counting only the data-center owner’s costs: utility pipework, substations, backup and financing can determine the combined result.
- Assuming more storage is always better: Göttingen’s storage case served more demand but was not the most economical option under the modeled assumptions.
- Equating system savings with customer bills: a utility operating-cost reduction does not automatically pass through one-for-one to tariffs.
Bottom line for a feasibility decision
Data-center waste heat is a serious district-heating option when a low-temperature network and nearby demand can use the heat for many hours, and when the project’s heat-pump electricity, connection and reliability costs remain below the value of displaced production. The Göttingen model shows that recovery without large storage can be economically strong, while the Espoo case demonstrates measurable system operating-cost savings at larger integration volumes. Neither result is a universal price.
The defensible decision is a site-specific, hourly comparison against the network’s actual marginal technologies. Publish the temperature, cost boundary, year, energy-price assumptions, demand coverage, storage and backup treatment, and risk allocation alongside any €/MWh or percentage result. Without those qualifiers, “cheaper than conventional district heating” is not a meaningful claim.
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