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OPTi · Project

Smart Optimization Tools That Cut District Heating Costs by 30%

energyTestedTRL 5

Imagine your city's heating network is like a massive circulatory system — hot water flowing through pipes to thousands of buildings. Right now, most of these systems run on fixed schedules and rough estimates, wasting huge amounts of energy during peak hours. OPTi built smart control algorithms that treat heat like a resource you can steer in real time — predicting demand, smoothing out peaks, and routing energy where it's actually needed. Think of it as GPS navigation for heat: instead of everyone taking the highway at rush hour, the system spreads the load intelligently so everyone stays warm while using far less fuel.

By the numbers
30%
Energy savings for water and heating at system level
30-40%
Peak consumption reduction on houses/clusters of houses
45 MEUR
Luleå Energi AB infrastructure investment (2014-2018)
EUR 2,100,130
EU contribution to the project
8
Consortium partners across 5 countries
20
Total project deliverables produced
The business problem

What needed solving

District heating and cooling operators waste significant energy because their systems run on static schedules rather than dynamic optimization. Peak demand periods force operators to fire up expensive backup boilers running on oil or electricity, driving up costs and emissions. Without intelligent control, there is no way to balance supply and demand in real time across a city-wide thermal network.

The solution

What was built

The project built optimization, control, and active demand response algorithm prototypes delivered in two iterations (Ver. 1 and Ver. 2), designed for integration and validation in real district heating systems. Across 20 deliverables, the team produced modelling methodologies, system-level and building-level control tools, and a consumer "virtual knob" concept for remote heating management.

Audience

Who needs this

District heating utility operators looking to cut fuel costs and peak loadsMunicipal energy companies expanding their heating networksSmart building technology providers seeking proven optimization algorithmsEnergy management software companies wanting validated DHC modulesProperty portfolio managers aiming to reduce heating costs across building clusters
Business applications

Who can put this to work

District heating utilities
enterprise
Target: Municipal or private district heating operators

If you are a district heating operator struggling with peak load spikes and rising fuel costs — this project developed optimization algorithms and control tools that achieved 30% energy savings at system level and 30-40% reduction in peak consumption for building clusters. The tools plug into existing infrastructure and treat thermal energy as a dynamically controllable resource.

Building management & smart homes
mid-size
Target: Smart building technology providers and property managers

If you are a building management company looking to reduce heating costs across your portfolio — OPTi created house-level intelligent control systems including remote control capabilities and a consumer 'virtual knob' concept. These tools enable 30-40% peak consumption savings on individual houses or clusters, giving tenants comfort while cutting your energy bills.

Energy software & IoT
SME
Target: Software companies developing energy management platforms

If you are an energy software provider seeking proven optimization modules to integrate into your platform — OPTi delivered validated algorithm prototypes (two iterations) for optimization, control, and active demand response. With 8 consortium partners across 5 countries testing these tools, there is a ready foundation for commercial energy management products.

Frequently asked

Quick answers

What would it cost to implement these optimization tools in our heating network?

The project operated on a EUR 2,100,130 EU budget across 8 partners over 3 years. Specific per-installation licensing or deployment costs are not published in the available data. Contact the coordinator team to discuss pricing for the algorithm toolset.

Can this work at the scale of a real city-wide heating network?

Yes — the project was designed around Luleå Energi AB's real district heating system, backed by a 45 MEUR infrastructure investment (2014-2018) in Luleå, Sweden. The methodology was deployed both at complete system level and at individual building level.

What about intellectual property and licensing?

The consortium includes 5 industry partners and 3 universities across 5 countries. IP arrangements would have been defined within the consortium agreement. Interested companies should contact the coordinator at Luleå University of Technology to discuss licensing terms for the algorithm prototypes.

What energy savings can we realistically expect?

The project targeted 30% energy savings for water and heating at system level, and 30-40% reduction in peak consumption at the building or cluster level. These targets were set against the real operating conditions of Luleå's expanding district heating network.

How does this integrate with our existing heating infrastructure?

OPTi was specifically designed to help energy companies operate both current and future district heating and cooling systems. The control algorithms and active demand response tools were built as add-on optimization layers, not replacements for existing infrastructure.

Is this ready to deploy or still experimental?

The project delivered two iterations of algorithm and tool prototypes (Ver. 1 and Ver. 2), validated through integration testing. The technology is past the prototype stage but would likely need adaptation for deployment in a specific commercial environment.

Consortium

Who built it

The OPTi consortium brings together 8 partners across 5 countries (Germany, Greece, Spain, India, Sweden), with a strong industry orientation — 5 out of 8 partners are from industry (62%), including 2 SMEs. The project was coordinated by Luleå University of Technology in Sweden, with direct access to Luleå Energi AB's real-world district heating infrastructure backed by a 45 MEUR investment. This mix of academic research capability and hands-on industrial testing gives the results practical credibility. For a business considering these tools, the presence of multiple industry partners who shaped the solution means it was built with commercial constraints in mind, not just academic theory.

How to reach the team

Luleå University of Technology (Sweden) — reach out to the energy systems research group for licensing and collaboration inquiries.

Next steps

Talk to the team behind this work.

Want an introduction to the OPTi team? SciTransfer can connect you with the right people and provide a tailored briefing on how these tools fit your heating network. Contact us for a matchmaking consultation.