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Therefore in this project a model-based operation support technology is developed that enables control and model calibration at a considerable higher level of autonomy than currently possible. In the proposed procedure, the performance of any model-based application is continuously monitored. If a deteriorating performance is detected, a performance diagnosis application is started that has to indicate whether the reason for the deteriorated performance is a model deterioration or requires a retuning of the application on the basis of the same model. If a plant test is desired to calibrate the model, this should be done in an automated way, where an economically least-costly identification experiment is designed. Based on the calibrated model the model-based application is retuned and activated.

The expected impact of the proposed technology is threefold: 1) an increase of the life time performance and the economic benefits of model-based operation support systems against a reduced investment 2) much tighter control and more accurate model-based measurements of industrial processes resulting in higher energy efficiency and a significant reduction of the environmental load 3) a reduction of the need for on-site presence of model-based experts for the implementation and the maintenance of model-based systems. This technology will therefore inevitably strengthen the competiveness of the European process industry and of the European suppliers of model-based operation support systems.