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Mole fractions and K-values of n-butyl acetate reactive distillation process versus property models

Mole fractions and K-values of n-butyl acetate reactive distillation process versus property models

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This work has been carried out to study the effects of property models on the qualities of the desired products obtained from reactive distillation processes with the aid of Aspen PLUS. Esterification and transesterification processes with top ethyl acetate and bottom n-butyl acetate as the desired products respectively were used as the case studie...

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... addition, Peng-Robinson equation of state model was found to give the highest mole fraction (0.9821) of n-butyl acetate at the bottom segment of the column and the K-value of the component (n-butyl acetate) at that segment was estimated to be 0.9910. As investigated in the case of the reactive distillation esterification process, the relationships between the mole fractions of n-butyl acetate and its K-values for the different property models studied were investigated by plotting the mole fractions and the K-values against the property models used for the simulations, as shown in Figure 4. As can be seen from the figure, the trend of the plot of mole fractions of n-butyl acetate obtained from the bottom segment of the column was exactly the same as that of its K-values. ...

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This study has been carried out to demonstrate the control of a reactive distillation process in which the production of biodiesel was taken as the case study using an advanced control method, which is known as dynamic matrix control. The control was accomplished by employing the transfer function model of the reactive distillation process developed, using the System Identification Toolbox of MATLAB, from the dynamic data generated when the prototype plant of the process was simulated with the aid of ChemCAD process simulator. The results obtained from the dynamic matrix control were compared with those of a proportional-integral-derivative (PID) control system tuned with Ziegler-Nichols and Cohen-Coon methods, and it was discovered that the dynamic matrix control was able to perform best among the three (dynamic matrix control method, PID tuned with Ziegler-Nichols method and PID tuned with Cohen-Coon method) because it (the dynamic matrix control) was able to make the biodiesel mole fraction response not to exceed the maximum limit value of 1 in addition to having the lowest sum of absolute errors (SAE) and sum of squared errors (SSE) from the control systems that were simulated.