PROCESS OPTIMIZATION: A COMPARATIVE CASE STUDY

Abstract Four recently developed algorithms were tested on a realistic propylene chlorination process simulation. All four are based on successive quadratic programming and interface easily with most sequential modular simulation packages. Using SPAD for simulation, optimal cases were obtained in as few as 29 simulation-time equivalents. The paper includes model details, reactor kinetics, and algorithm performance.