Synthesis of Reactive Distillation Column Design by MINLP Optimization

• Main Authors: Tzu-Nung Li, 李子農
• Other Authors: 陳誠亮
• Format: Others
• Language: zh-TW
• Published: 2005
• Online Access: http://ndltd.ncl.edu.tw/handle/13084927031942428281

碩士 === 國立臺灣大學 === 化學工程學研究所 === 93 === A complete mathematical programming formulation based on a tray-by-tray model is presented for optimal design of homogeneous reactive distillation processes. Most of the researches on reactive distillation, some the structural details of the process are found by empiricism or intuition, and the operational variables can be determined by standard optimization techniques. An optimal model which minimize total costs with all priced structural variables and priced operational variables was set up. A tray-by-tray model was proposed for reactive distillation column design that could simultaneous optimize all structural variables and operational variables. The synthesis of reactive distillation problems can be formulated as a mixed-integer nonlinear programming (MINLP), where raw material cost, the operating costs and the investment costs are considered simultaneously and the possible benefits of multiple feed locations is emphasized. This study is supposed not considering the liquid-liquid equilibria system, the suitable thermodynamics model can be applied to the superstructure, such as: ideal model, the Willson model and so on; as for the liquid-vapor equilibria phenomena, the Murphree plate efficiency is indicated the separating efficiency of plate, and model could have the more real description of behavior reactive distillation. Apply the effect of catalyst to the model that only can handle homogeneous reaction system, make the superstructure could be extended to heterogeneous reactive distillation system. Production ethylene glycol and methyl acetate processes from literature is supplied to demonstrate the proposed simultaneous optimization approach on the homogeneous and heterogeneous reactive distillation column design by MINLP technique.