Modeling and Simulation of a Packed Column Batch Still for Fruit Wine Distillations

Batch distillations are extensively used worldwide to produce fruit wine spirits with distinctive aromas. These processes typically operated manually, based on the experience of distiller. However, dynamic optimization and automatic control strategies could be valuable for ensuring a more consistent product quickly adapting new market tendencies. Consequently, reliable process models required application these methods. The novelty this study is developing highly efficient method reliably simulate calibrate rigorous first-principles model packed batch column still. We applied lines (MOL) transform partial differential equations describing dynamics into an ordinary equation (ODE) system. nonlinear phase equilibrium were pre-solved, several polynomials fitted get explicit algebraic equations. final differential-algebraic system (DAE) comprises 31 ODEs, 113 equations, two implicit Variables scaling, smoothing discontinuities, applying loop within Simulink solve resulted in 600 times faster simulations than naïve approach. was regressed using pilot-scale experimental data subjected extensive validation independent data. Sensitivity residual analysis established that better heat loss improve ethanol concentration prediction. This losses reduced average error by five times. developed can design systems optimal operating distillations.