Integrated Multiscale Latent Variable Regression and Application to Distillation Columns

<table class="table-group" id="tab5"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td align="left">  Process variable </td><td align="center"> Value </td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td align="left"> Feed flow rate </td><td align="center"> 40 kg/hr </td></tr><tr><td align="left">Reflux flow rate </td><td align="center"> 5 kg/hr </td></tr><tr><td align="left">Feed composition </td><td align="center"> 0.3 mole fraction </td></tr><tr><td align="left">Bottom level </td><td align="center"> 400 mm </td></tr><tr class="table-tr"><td colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

Steady state operating conditions of the packed bed distillation column.

Modelling and Simulation in Engineering

tab5

Table 5

Table 5: Integrated Multiscale Latent Variable Regression and Application to Distillation Columns 