Modelling and integration of process networks for C4 hydrocarbons.

Hydrocarbons with four carbons in their molecular structure (C4s) represent an important chemical family in the modern petrochemical industry. Converting less valuable C4s into more valuable C4s with effective separation has been of significant industrial interest. The large variety of C4s leads to a complex reaction pathway network. Prior work carried out on C4 modelling and optimisation has been largely industry-focussed with limited studies found in academic publications. This work aims to bridge the research gap by developing a systematic methodology that can identify the optimal process pathways for maximum economic return. A superstructure network is developed, showing comprehensive pathways for C4 processing. Mathematical programming is applied to model the superstructure with individual processing units, in which simplified process models used in the network model can be supported by detailed process models. Optimisation is implemented in GAMS, the results of which help gain important physical insights into the best options for C4 processing. [ABSTRACT FROM AUTHOR]