AI-based configuration of heating systems

Construction of hall heating systems 

KÜBLER builds heating systems designed to operate with high energy efficiency in large halls. The product range includes variants with additional features such as lighting, cooling, ventilation, and thermally supported heating. The latest generation of infrared heaters (FUTURA and MAXIMA E-Hybrid) can use a variety of energy sources, including biogas, liquefied gas, hydrogen components, natural gas, or electricity. Users can switch between these energy sources based on cost or availability. 

Individual configuration of systems 

To ensure efficient heating system utilisation, 3D models of the halls are employed during the planning phase. Materials made of metals, plastics, cardboard, glass fibres and composite materials are used in the production process. KÜBLER offers various individual solutions for configuration, planning, and price quotation systems, such as calculating the heating load and selecting the type and number of units. System information, such as CAD plans and operational data, is available in multiple formats and locations. 

Digital twin with visual simulation 

For the first time, these different information sources will be integrated through a digital twin by the Green-AI Hub Mittelstand pilot project. The digital twin analyses the data, which enables enormous savings potential for future systems by revealing oversizing and by optimising the technical coordination of individual system components. 

The digital twin is supplemented by mixed reality glasses which visualise the system. This feature allows for pre-installation visual checks, for example, in an assembly hall, to determine the optimal placement of heating systems based on empirical data and visual feedback. Adjustments can be made during the process if needed. Visual simulations can reveal direct savings potential, such as the need for fewer or smaller systems than initially assumed. Indirect savings potential can also be identified, such as the possibility of additional appliances that could enable more efficient operation, extending the appliances' lifespan, and promoting sustainability. 

AI as a data interface 

The digital twin allows for the conservation of resources at various stages. It includes a digital product pass listing recyclable components, contributing to a circular economy. Savings can also be achieved during operation. Simulation and mixed reality visualisation scenarios can be used to reduce the number or size of systems used, avoid peak operation, and reduce overall energy consumption – including electricity and gas. 

The pilot project considers hall heating systems in an overall context (Smart Living, Smart City, Industry 4.0, etc.) and integrates other sensors and information sources (e.g. hall activity) into the analysis (shared data space). This enables more accurate usage pattern assessments and holistic predictions. A standardised data interface within the digital twin consolidates all critical operational data.

Presentation of the Green-AI Hub pilot project “AI-based configuration of heating systems” - 14:04 min.

• Jens Findeisen, KÜBLER GmbH
• Sönke Knoch, German Research Center for Artificial Intelligence GmbH