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Are you a district heating network operator facing the challenge of dealing with growing customer demands and requirements? You don't want to simply increase your resources and find yourself involved in increasingly complex processes, but rather ensure the security of supply for your customers as effectively as possible.
At Fraunhofer IEE, we can provide you with targeted support in your transformation to efficient, digitalized, and resilient operations.
We offer solutions customized to your needs to simplify your processes, whether it's monitoring your building transfer stations or parameterizing inefficient systems.
With our broad experience in numerous fields of application in the area of heat supply, we are your point of contact if you're not looking for another standard tool that only makes your operations more complex.
We work with you to develop solutions that integrate seamlessly into your operations and increase and ensure the efficiency of your systems.
In the Machine Learning in District Heating (ML4FW) project, AI-supported optimization of control parameters successfully demonstrated a reduction in return temperatures of 2–3 K and a significant reduction in energy consumption.
The methods developed are not only suitable for house stations in district heating networks, but can also be easily adapted to other heat supply systems.
With OptiHAST, you are choosing a solution that combines data-driven innovation with practical applicability. Perfect for operators who want to leverage efficiency potential, reduce network loads, and actively shape the transformation process toward modern heating networks.
OptiHAST is the innovative AI-supported optimization platform for house transfer stations and other heat supply systems. Developed on the basis of methods successfully used in the Machine Learning in District Heating (ML4FW) project, OptiHAST enables a demonstrable reduction in return temperatures of 2–3 K and a significant reduction in energy consumption – fully automated, precise, and permanently stable.
District heating operators are under increasing pressure to operate their systems more efficiently, flexibly, and sustainably. OptiHAST delivers exactly that:
The AI methods developed in ML4FW were designed so that they can be used not only for house stations, but also for other systems in heat supply. OptiHAST grows with your requirements – from individual buildings to large network structures.
Fraunhofer Institute for Energy Economics and Energy System Technology