I n the control of batch distillation columns, one of the problems is the difficulty in monitoring the compositions. This problem can be handled by estimating the compositions from readily available online temperature measurements using a state estimator. In this study, a state estimator that infers the product composition in a multicomponent batch distillation column (MBDC) from the temperatur...

This work reviews a well-known methodology for batch distillation modeling, estimation, and optimization but adds a new case study with experimental validation. Use of nonlinear statistics and a sensitivity analysis provides valuable insight for model validation and optimization verification for batch columns. The application is a simple, batch column with a binary methanol-ethanol mixture. Dyn...

With the increasing emphasis on agile operations, the process industries have begun to focus on effectively managing transient operations such as transitions or batch/fed-batch processes. In this paper, we propose a multi-agent based decision fusion framework for monitoring and diagnosing faults during transitions. The proposed method integrates three fault diagnosis methodologies into a unifor...

The commonly used seed spice Cumin (Cuminum cyminum Linn.) contains 3-4% volatile oil and about 15% fixed oil. Conventional grinding of cumin is associated with problems of temperature rise, caking, clogging of sieves and deterioration of quality due to loss of volatiles. Shortcomings of the conventional size reduction were obviated by flaking and the effect of flaking on the yield and quality ...

The heat-integrated distillation column to be addressed in this paper is a special distillation column that involves internal heat integration between the whole rectifying and the whole stripping sections. An overview of the research on this process is presented in this work. It covers from the thermodynamic development and evaluations to the practical design and operation investigations for th...