In this case study, learn how Corteva Agriscience, an American agricultural chemical and seed company, resolved their frequent reboiler shutdowns by using Aspen Hybrid Models™. By combining plant data and AI within an Aspen Plus® model, Corteva improved the heat transfer and duty predictions to provide guidance for a better maintenance strategy.
The hybrid model, created in less than a day, provided guidance to:
- Prevent unscheduled shutdowns, potentially saving $1.2M USD/year in avoided maintenance costs and nearly $10M USD/year in avoided product sales losses
- Improve maintenance shutdown schedule
- Lower tar levels for smoother operation of upstream solvent distillation columns
- Take a proactive maintenance approach towards exchanger cleaning and tar purging
Read the case study now.