2017 Spring Meeting and 13th Global Congress on Process Safety
(81c) Improving Overall Ethylene Plant Performance By Optimising C2 Hydrogenation
Authors
This paper describes the application of advanced process modelling to a typical C2 hydrogenation tail-end process. The approach uses high-fidelity models of the catalyst bed to predict composition, temperatures and other important attributes to a high degree of accuracy.
Having validated the model against experimental data, it was used to determine optimal operating conditions. The objective of the optimisation was to maximise economic gain by maximising ethylene production. The decision variables used were the time-varying inlet temperature to each bed, the hydrogen flow to each bed and the run length, with constraints including the maximum bed temperatures and outlet C2H2 concentration. By altering the conversion in each of the three beds by altering the inlet conditions it was possible to realise a 13% increase in ethylene gain and a 10% improvement in process economics, and at the same time reduce production of unwanted ethane and green oil. There is now potential to implement the model on line for real-time monitoring of catalyst activity and green oil accumulation. A similar approach can be applied to C3 hydrogenation.