A Hybrid Modelling Approach for Separation Systems Involving Distillation
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Cited by (20)
Simultaneous design & control of a reactive distillation system – A parametric optimization & control approach
2021, Chemical Engineering ScienceCitation Excerpt :In this work, a high-fidelity, mixed-integer dynamic model is utilized to describe the MTBE reactive distillation column of interest. The basis of this dynamic model has been validated with experimental data and open literature data in our previous works for different reactive distillation systems, e.g., MTBE production (Schenk et al., 1999), ethyl acetate production (Georgiadis et al., 2002; Panjwani et al., 2005). Some key features of this generalized RD model, which enables its prediction accuracy and representation capability for design optimization, are listed as follow:
A Systematic Framework for the synthesis of operable process intensification systems – Reactive separation systems
2020, Computers and Chemical EngineeringCitation Excerpt :High fidelity dynamic models for the above three MTBE reactive distillation processes (Fig. 10) are developed in gPROMS ModelBuilderⓇ. The basis of the general reactive distillation model has been presented and validated in Schenk et al. (1999) and Georgiadis et al., 2002, which consists of a system of differential and algebraic equations (DAE) for the description of component molar and energy balances for each tray, the partial reboiler and the total condenser, reaction kinetics, phase equilibrium, etc. The major design and operating parameters of the three reactive distillation systems for dynamic modeling and simulation are given in Table 6.
Towards a systematic framework for the synthesis of operable process intensification systems - application to reactive distillation systems
2019, Computer Aided Chemical EngineeringTowards a systematic framework for the synthesis of operable process intensification systems
2018, Computer Aided Chemical EngineeringCitation Excerpt :This result is consistent while slightly improved comparing to the literature results. In the dynamic analysis, the “high fidelity” dynamic rate-based model of MTBE reactive distillation column is adapted from Schenk et al. (1999), represented by sets of differential algebraic equations (DAE) of index 1. In this system, the design variables include column diameter, reboiler and condenser heat exchange areas.
Reactive distillation: A review of optimal design using deterministic and stochastic techniques
2015, Chemical Engineering and Processing: Process IntensificationCitation Excerpt :Heath et al. [38] studied the interactions of design and control in an ethylene glycol reactive distillation system assuming that the process structure is fixed (e.g., number of trays, feed tray location, etc). Schenk et al. [57] and Georgiadis et al. [33] compared sequential and simultaneous approaches to design and control of a reactive distillation system using advanced optimization techniques. Again, the process and control structure were assumed fixed.
Dynamic analysis of the absorption/desorption loop of a carbon capture plant using an object-oriented approach
2012, Chemical Engineering and Processing: Process Intensification