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  • 标题:Modelling of the Mini Batch Distillation Column
  • 本地全文:下载
  • 作者:Arief Syaichu Rohman ; Pranoto Hidaya Rusmin ; Renny Maulidda
  • 期刊名称:International Journal on Electrical Engineering and Informatics
  • 印刷版ISSN:2085-6830
  • 出版年度:2018
  • 卷号:10
  • 期号:2
  • 页码:350-368
  • DOI:10.15676/ijeei.2018.10.2.11
  • 出版社:School of Electrical Engineering and Informatics
  • 摘要:Distillation is the most common method for separating components in chemicalunit operation. This paper presents the mini batch distillation column modeling to facilitatea closed loop control design in the later stage. This mini plant is part of the development ofa cyber physical system and will be a physical system controlled by DCS (Distributed ControlSystem) with data transmission over the network in real time. In this study, ITB Honeywellmini plant for laboratory scale is used for separating binary mixtures, ethanol and water. Anon-off condenser valve is chosen as an actuator to regulate the end product concentration.Theplant is modeled by 2 approaches, i.e. White-box modeling approach by first principle, whichproduces nonlinear equations model of batch distillation column based on component massbalance, vapor-liquid equilibrium and others physical characteristics. Meanwhile, the Blackboxapproach uses input-output experimental data to produce a linear model of the plant. Themodelling is for two different locations of the concentration sensor, i.e. at the inflow oroutflow of the end-product tank. The nonlinear model is not yet appropriate for control designpurpose. Unlike the nonlinear model, the linear models developed at two different controlinputs show marginal to good fit to the experimental data at respective operating points.However, it seems better to use a piecewise linear modelling over process operating regionsfor concentration control design purposes of the batch distillation column. Furtherdevelopment of the nonlinear model shall be done by considering the influence oftemperature variability in the model.
  • 关键词:Batch Distillation Column; First principle; white box model; black box model
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