A NEW APPROACH USING CANONICAL CORRELATION COMBINED WITH ADVANCED ANALYTICAL TECHNIQUES TO SIMULATE A CHEMICAL PROCESS

An important requirement for mathematical modeling of chemical reactors is a means for simulation of the underlying chemical process. The goal of any reactor simulation is to enable prediction of the yield and composition of the products. This study shows the potential application of canonical correlation in combination with advanced analytical techniques (such as GC-MS, FTIR, Py-MS) toward modeling and prediction in chemical reactors. The mathematical description presented allows generalization of this approach.