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Distillation is the most common method for separating components in chemical unit operation. This paper presents the mini batch distillation column modeling to facilitate a closed loop control design in the later stage. This mini plant is part of the development of a cyber physical system and will be a physical system controlled by DCS (Distributed Control System) with data transmission over the network in real time. In this study, ITB Honeywell mini plant for laboratory scale is used for separating binary mixtures, ethanol and water. An on-off condenser valve is chosen as an actuator to regulate the end product concentration.The plant is modeled by 2 approaches, i.e. White-box modeling approach by first principle, which produces nonlinear equations model of batch distillation column based on component mass balance, vapor-liquid equilibrium and others physical characteristics. Meanwhile, the Blackbox approach uses input-output experimental data to produce a linear model of the plant. The modelling is for two different locations of the concentration sensor, i.e. at the inflow or outflow of the end-product tank. The nonlinear model is not yet appropriate for control design purpose. Unlike the nonlinear model, the linear models developed at two different control inputs 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 regions for concentration control design purposes of the batch distillation column. Further development of the nonlinear model shall be done by considering the influence of temperature variability in the model.

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