Fractionation Train Simulation 4310

Model Description

The TSC SIM 4310 – Fractionation Train models a classic three stage fractionation train taking a mixed hydrocarbon feed and splitting it into 3 high purity products.

The columns in the model have been split into two sections to reduce the overall height and pump around system are used to transfer column fluid.

The model contains a fully functional ESD (emergency shut-down) system including start-up overrides, inhibits, intertrips and executive action. The ESD is displayed within an industry standard type cause and effect matrix.

The feedstock can be switched between three different hydrocarbon fluids by a trainer to illustrate how column operation is effected by different feed conditions.

The model contains examples of gas condensation using a liquid refrigerant and forced draft air coolers and steam driven reboilers.

The process streams have component analysis points so the effect of differing process conditions can be investigated and monitored.

All pump systems contain duty standby pumps and low flow trips allowing pump switch-over and stabilisation.

On a modern PC the model can run faster than real-time reducing the time spent waiting for things to happen.

The model can be fully shut-down and restarted and a black start (empty and nitrogen purged) second start is provided to allow start-up training.

Learning Areas

  • Classic example of a fractionation train splitting a hydrocarbon feed from the top of a crude column into three lighter fraction products (Ethane, Propane and Butane) and a heavy liquid.
  • Builds on basic ESD (emergency shut-down) system knowledge with a fully functional, graphical, multi page cause and effect system.
  • Shows process interaction between columns, building on the idea that no unit operation exists in isolation and also builds on distillation column understanding.
  • When used with a trainer the model can test a trainees reaction to external process changes, alarm handling, fault finding, and resolution.
  • The effect of different feedstock can be investigated and the process can be optimised by a trainee to use these different fluids.


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