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An expert system-based approach for energy-efficient processing of natural raw materials
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Datum
2014
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Verlag
BIS-Verlag
Zusammenfassung
This paper presents an approach aiming to reduce the energy consumption during the processing of
natural raw materials. Natural raw materials are processed with more energy than they actually need.
This is due to uncertainties on material and energy flows and to a lack of process flexibility and
inappropriate machine configuration. The proposed approach combines techniques like artificial
intelligence (expert systems) with technologies for data processing in order to create real-time “action
plans” containing energy reduction suggestions for compound feed manufacturers. These suggestions
are based on the correlation between energy consumption, product quality and process control by
influencing the grain size, the steam amount and machine parameters. Through the application of
expert systems the energy consumption in energy-intensive processes could be reduced and seen as an
efficient way leading to lower CO2 emissions. At the end of the paper current results are detailed and
future work is presented.