Efficient operation of an EO Reactor system depends on maintaining optimum reactor feed conditions. To balance the competing effects of cost of purge streams, reactor performance, and recycle gas compression (which are difficult to determine in a dynamic environment) buildup of inert impurities from raw materials must be managed.
SD’s SciDigital YieldPro® optimizer extends the functionality of the SciDigital RxTwin® model to predict the impact of inert impurities on EO Reactor catalyst performance. An optimization routine then determines the lowest cost of production considering catalyst sensitivity, raw material losses, and recycle gas compressor power input. Raw material and energy intensity are optimized in real time to maximize overall profitability. The program can also be configured to provide a remote setpoint to the plant hardware or APC system.
