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04/06/2026

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Hybrid Process Modelling

Hybrid Process Modelling - 1

Service description

The service tests and validates hybrid models that combine known microorganism kinetics with empirical data to support real-time feedback, process control, and early detection of production deviations. The process includes testing of models and technologies aimed at improving aeration, nutrient uptake, and foam reduction using modelling tools in the Biosolutions Lab. The purpose is to provide companies with a documented basis for assessing how hybrid process modelling and data-driven methods can reduce risk, improve scalability, and strengthen decision support in biobased production processes.
Expected results: Validated models and technologies with documented results that can be used to reduce risk, improve scalability, and support further implementation in existing or future bioproduction processes.
Methodology: The service is delivered as a test and validation process including analysis of process data, development or application of hybrid models, testing of real-time feedback and control functions, and documentation of model performance, process improvements, and deviation detection in the Biosolutions Lab.
Target: Biosolutions
  • Organisation: DTI
  • Type: test
  • SUT/E: Hybrid models, process data, and control systems for biosolutions and biotechnological production processes
  • Average duration: 1-5 weeks
  • Contact: uln@teknologisk.dk

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