South KoreaChemicals and materials2023 – ongoingISU Chemical
Hybrid AI simulation for reactor yield and catalyst performance
AVEVA reported 99.7% reactor-yield prediction accuracy at ISU Chemical
Problem
ISU Chemical needed to predict reactor performance under different recipes and operating conditions. It also needed a basis for planning catalyst replacement.
Approach
ISU Chemical deployed AVEVA Process Simulation with an AI reactor model. The hybrid simulation predicted reactor yield and catalyst performance, including decay. Engineers and operators accessed plant simulations through an Excel interface.
Results
Takeaway
The reported accuracy concerned reactor-yield prediction. AVEVA did not quantify a resulting increase in production or reduction in catalyst costs.
Categories
- Size
- Large enterprise
- Industry
- Chemicals and materials
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and ML
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
AVEVA described ISU Chemical's deployed hybrid reactor simulation and reported 99.7% yield-prediction accuracy. It also described catalyst-performance prediction and an Excel interface for engineers and operators.
Full details are in the original sources.