Data-Driven Fouling Prediction in Heat Exchanger Networks
Machine learning outperforms calendar-based schedules at predicting heat exchanger fouling.
Emeka Kowalski
Correspondent
Emeka Kowalski
Emeka Kowalski is a correspondent at Process First Principles covering domain applications. Based in Chicago, Emeka has written for Process First Principles since 2019.
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