CASE STUDY
Simulation-Powered Deep Learning Achieves 25.05% Energy Savings in Distillation Column Optimisation
Goals
The alkylation of 1-butene to produce octane and dodecane is a common refining process in the petrochemical industry. This study aims to:
Optimise the process using the Orbital foundation model within the DWSIM simulator, comparing its performance against best-in-class alternatives, including Linear Programming and Ensemble methods.
Results
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