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An approach to assess feasibility and determine the feasible range of operating parameters for double-feed reactive distillation columns is put forward. It is based on the combination of analysis of the pinch point maps for the middle-section in compositional space and an efficient shortcut design method. The existence of the liming bounds on operating parameters is observed. The methodology is illustrated by the production of methyl acetate and ethyl acetate. The analysis provides an efficient method to identify the most promising candidates of double feed reactive distillation columns and to study the design flexibility in terms of operating parameters. This is an abstract of a paper... 

In this paper, the application of neural networks for simulation and optimization of the cogeneration systems has been presented. CGAM problem, a benchmark in cogeneration systems, is chosen as a case study. Thermodynamic model includes precise modeling of the whole plant. For simulation of the steady sate behavior, the static neural network is applied. Then using dynamic neural network, plant is optimized thermodynamically. Multi layer feed forward neural networks is chosen as static net and recurrent neural networks as dynamic net. The steady state behavior of CGAM problem is simulated by MFNN. Subsequently, it is optimized by dynamic net. Results of static net have excellence agreement... 

Shortcut design methods can be valuable tools for rapid screening of different separation process alternatives to assess feasibility and determine minimum energy demand. This work presents a variant of the feed angle method (Kraemer et al., 2011), which applies to single- and double-feed reactive distillation columns. The proposed method relies on pinch point analysis and determines the minimum energy demand from the calculation of a tray at the feed pinch. It is fully algorithmic and insensitive to impurities in product specifications. Its validity and performance is illustrated by a variety of case studies covering multi-component and multi-reaction systems, mixtures with potential...