出版日期：2021-02-16 00:00:00

著者：Chii-Dong Ho; Yih-Hang Chen ; Chao-Min Chang; Hsuan Chang

著錄名稱、卷期、頁數：Processes 9(2), 363

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

關鍵字：sour water;stripping;process control;soft sensors

語言：en

ISSN：2227-9717

期刊性質：國外

收錄於：SCI

審稿制度：否

國別：CHE

出版型式：電子版