Reduced order modelling of chemical reactors with recycle by means of POD-penalty method

Spectral method based on POD are an effective approach for model reduction but variable boundary conditions are often a problem, since basis functions must satisfy boundary conditions at all times. In this work we introduce weak imposition of boundary conditions by means of a penalty method and apply the method to develop reduced order models of two different chemical reactors. A quantitative analysis shows that, by changing the values of the penalty parameters, arbitrary accuracy can be achieved at the expense of increasing CPU time. Computations can be reduced by a factor 50 at least, by maintaining still acceptable accuracy. Performance parameters of the approach appear to be model dependent.

► Spectral method based on POD are an effective approach for model reduction. ► Variable boundary conditions are a problem with spectral methods. ► We introduce weak imposition of boundary conditions by a penalty method. ► POD-penalty generates a reduced order model of arbitrary accuracy. ► Computations are reduced by a factor 50 maintaining still good accuracy.