Evaluation of Process Control Schemes for Sour Water Strippers in Petroleum Refining

For the sour water strippers in petroleum refinery plants, three prediction models were developed first, including estimators of feed concentrations using convenient online measurements, minimum reboiler duty and corresponding internal temperature at a specific location (Tstage,29). Feedforward control schemes based on these models. Four categories schemes, feedforward, feedback, feedback with external reset, feedforward-feedback, proposed evaluated by rigorous dynamic simulation model stripper for their responses to stream disturbances. The comparison performance, terms settling time, integrated absolute error (IAE) NH3 concentration stripped IAE duty, reveals that FFT (feedforward Tstage,29) FBA-DT3 (feedback 3 min measurement delay) are best schemes. second-best scheme is FBAT (cascade temperature).