A review: control of reactive divided wall distillation column
نویسندگان
چکیده
منابع مشابه
Reactive Distillation Process Analysis in a Divided Wall Column
This contribution aims to present a methodology to model and simulate the reactive dividing wall column (RDWC) using commercial software. Feasibility of separation scheme was established with ASPEN DISTILTM. Simulation of flowsheet configuration was performed with ASPEN HYSYSTM, using the two columns model. The reactive zone hosted by the prefractionator was modelled and simulated as backward f...
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The paper presents the analysis of the thermal efficiency of a dividing wall distillation column and the influence of the feed composition on the reduction of energy consumption compared to a classical scheme of multicomponent mixture separation. The study relays on rigorous simulations in HYSYSTM using thermodynamically equivalent schemes. A case study is presented for the separation of a hydr...
متن کاملAdvanced Control of a Reactive Distillation Column
The paper presents a detailed analysis of the dynamic behavior of a reactive distillation column. A control relevant dynamic model is derived using firstprinciples modeling and it is used to study the dynamic behavior of the process at high and low purity operating regimes. The results are used to analyze the performance of linear and nonlinear model predictive control in comparison to coupled ...
متن کاملOptimization of structural and operational variables for the energy efficiency of a divided wall distillation column
In the present work, the optimization of different structural and process parameters of a divided wall column (DWC) for the energy efficiency has been presented. The optimal design and operation of divided wall distillation columns involve a number of variables and is a non-linear problem. Rigorous simulation of a DWC was carried out using Multifrac model of ASPEN Plus software. Box–Behnken des...
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ژورنال
عنوان ژورنال: International Journal of Advanced Technology and Engineering Exploration
سال: 2016
ISSN: 2394-5443,2394-7454
DOI: 10.19101/ijatee.2017.427002