Process analytical techniques to
increase productivity in batch processes
6th May 2021 at 3pm (GMT)
Increasing the productivity of
batch processes presents a complex challenge, which results from, amongst other
things, the time-varying and non-linear characteristics such processes exhibit.
In this webinar, an innovative optimisation technique is presented. The
technique, which utilises a data-driven Gaussian process regression model,
built on time-varying and non-linear historical process data, iteratively
increases batch productivity from one cycle to the next. The capabilities of
the proposed method are demonstrated using two benchmark fermentation
simulations, where it is shown to achieve increases in productivity of between
60% and 97%.
This webinar will be presented by
Maxwell Barton, University of Manchester
The webinar will last no longer
than one hour.
To register please contact Christine.firstname.lastname@example.org