Abstract
The process optimization of a multistage continuous ultrafiltration-dialfiltration system for the separation of lignosulfonates from spent pulping liquor was performed using dynamic programming. The optimal number of stages in series as well as the optimal interstage solute concentrations and amounts of diafiltration water to be added to each stage were determined. Dynamics programming reduced computation time to about one-third that required for a nonlinear overall optimization method (a Complex Search). Dynamic programming also gave slightly better predictions for the optimum conditions when the number of stages in the process increased.
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