Why district heating must integrate data to succeed in their energy transition

The strategic role of district heating networks in decarbonizing cities is now widely recognized. Fueled by renewable or recovered energies, they represent an effective collective solution for heating buildings and neighborhoods while limiting CO2 emissions.

But the real performance of heating networks depends on their ability to adapt continuously, exploiting the full potential of the data produced by the infrastructure.

The challenge of operation: an under-exploited potential for optimization

While the technical infrastructures (piping, substations, production plants) are well mastered by operators, there is still considerable room for improvement in the management of energy flows.

Why is this? Because the complexity of networks and the lack of real-time management tools often hamper optimization actions.

For example:

• Excessively high operating temperatures increase heat loss
• Unbalanced flow rates between substations
• Low responsiveness to variations in building demand

These are all levers which, if mastered, can reduce operating costs, improve energy efficiency and increase the share of renewable energies.

Data: a key asset for intelligent operation of heating networks

This is where data enhancement comes in. By collecting, structuring and analyzing information in real time (temperature, flow, consumption, substation performance, etc.), it becomes possible to :

• View network performance continuously
• Identify underperformance and opportunities for improvement
• Reduce heat loss and CO2 emissions
• Lowering return temperatures, a key challenge for integrating more renewable energies
• Involving building managers in a shared optimization process

A SaaS platform to help operators make the transition

At Dyneo Technologies, we have developed a SaaS platform dedicated to theenergy optimization of heating networks.

Our solution enables operators to move from static management to dynamic, data-driven control, with a simple, accessible interface.

Our approach is based on three pillars:

1. Data quality: thanks to our infrastructure, we can guarantee reliable use of data from a variety of sources.
2. Real-time analysis: our platform identifies levers for improvement and proposes concrete actions.
3. Collaboration with building managers: by making data understandable and actionable for everyone, we create a bridge between operators and end-users.

A direct impact on energy and climate performance

Integrating data into the operation of heating networks enables :

• Maximizing infrastructure profitability
• Reducing greenhouse gas emissions
• Make the grid more attractive than fossil fuels
• Prepare networks for future reporting and energy management requirements

Conclusion: data-driven management, a necessity for tomorrow's heating networks

The energy transition of heating networks requires intelligent, collaborative operation, driven by data.

With our platform, we support operators in making each network a key solution for sustainable cities.

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Are you the operator of a heating network?

Find out how Dyneo can help you optimize your energy and climate performance.

👉 Contact us at www.dyneo.ch for a personalized demonstration.