Dynamic Evidence of the Multiplicity Mechanism in Methyltert-Butyl Ether Reactive Distillation

1997 ◽  
Vol 36 (9) ◽  
pp. 3995-3998 ◽  
Author(s):  
S. Hauan ◽  
S. M. Schrans ◽  
K. M. Lien
Keyword(s):  
Reactive Distillation ◽  
Butyl Ether

Residue Curve Map Determination and Synthesis of Ethyl tert-Butyl Ether via Reactive Distillation

2014 ◽  
Vol 39 (4) ◽  
pp. 2475-2481
Author(s):  
Muhammad Umar ◽  
Y. A. S. Alhamed ◽  
A. Alzahrani ◽  
A. R. Saleemi
Keyword(s):  
Reactive Distillation ◽  
Butyl Ether ◽  
Tert Butyl

scholarly journals Fuel additives production: ethyl-t-butyl ether, a case study

2013 ◽  
Vol 6 (2) ◽  
pp. 211-226 ◽  
Author(s):  
Vladimír Mikuš ◽  
Martina Ridzoňová ◽  
Pavol Steltenpohl
Keyword(s):  
Liquid Phase ◽  
Chemical Engineering ◽  
Reactive Distillation ◽  
Safety Analysis ◽  
Ion Exchange Resin ◽  
Social Risk ◽  
Fuel Additives ◽  
Butyl Ether ◽  
Simulation And Optimization ◽  
Product Separation

Abstract The students frequenting the program Chemical Engineering at the Department of Chemical and Environmental Engineering, Faculty of Chemical and Food Technology of the Slovak University of Technology in Bratislava are taught to be able to combine and develop their knowledge acquired in the area of chemical, energetic, environmental, and safety engineering. Prior to completing their study, they are obliged to develop a report regarding engineering, economic, and safety analysis of important chemical technology. This paper presents the most valuable outputs of the student’s Technology project aimed on simulation and optimization of the fuel additives production technology. 2-Ethoxy-2-methylpropane (ethyl-t-butyl ether, ETBE) production based on liquid-phase etherification of 2-methylpropene with ethanol in the presence of heterogeneous catalyst was studied. Different patented technologies were investigated in terms of their profitability and safeness. The first technology was an isothermal reactor with the product separation via distillation (Kochar & Marcell, 1981). The next ETBE production design assumed was a modification of the previous one; the product separation was carried out using liquid-phase extraction (Pucci et al., 1992). The last design considered in this study was a reactive distillation column with a pre-reactor (Bakshi et al., 1992). In all three technologies, etherification reaction was carried out using Amberlyst ion-exchange resin in its H+ form as the catalyst. Selected ETBE production designs were simulated using Aspen+ program. Their profitability was compared on basis of the investment and operation costs assessment taking into account both the produced ETBE yield and purity. Further, basic safety analysis of all chosen technologies was performed in order to identify possible hazards. Finally, individual and social risk connected with the plant operation was computed. Taking into account these economic and safety criteria, the best alternative for ETBE production was the reactive distillation.

Neural - Wiener Model for Multivariable Methyl Tertiary Butyl Ether (MTBE) Reactive Distillation

2013 ◽  
Vol 284-287 ◽  
pp. 409-413
Author(s):  
Sudibyo Sudibyo ◽  
Muhamad Nazri Murat ◽  
Norashid Aziz
Keyword(s):  
Reactive Distillation ◽  
State Space Model ◽  
Nonlinear Behavior ◽  
Distillation Process ◽  
Wiener Model ◽  
Butyl Ether ◽  
Separation Processes ◽  
Tertiary Butyl ◽  
Highly Nonlinear ◽  
Reliable Model

MTBE is a chemical that can be used as anti-knock additive to replace lead additive (tetra ethyl lead) which can be efficiently produced using reactive distillation process. It has been established in the literature that MTBE reactive distillation poses a highly nonlinear behavior due to the combination of reaction and separation processes. A reliable model for predicting the behavior is required especially for the control purposes. In this work, a Neural Wiener model which is one of the available types of oriented block model was utilised to develop the MTBE reactive distillation model. The required data for the Neural Wiener model were generated using a validated Aspen dynamics model for the MTBE reactive distillation process. It is found that the Neural Wiener model is capable to predict the MTBE purity and isobutene conversion with accuracy of 98.55% and 96.95%, respectively. Those values are quantitatively better in comparison to the state space model which gives lower values for prediction accuracy of 87.86% and 82.90%, respectively.

scholarly journals Modeling Of A Reactive Distillation Column: Methyl Tertiary Butyl Ether (Mtbe) Simulation Studies

1970 ◽  
Vol 4 (2) ◽  
Author(s):  
Ismail Mohd Saaid Abdul Rahman Mohamed and Subhash Bhatia
Keyword(s):  
Distillation Column ◽  
Reactive Distillation ◽  
Relaxation Method ◽  
Differential Algebraic Equations ◽  
Operating Conditions ◽  
Integration Scheme ◽  
Algebraic Equations ◽  
Butyl Ether ◽  
Tertiary Butyl ◽  
Proposed Model

A process simulation stage-wise reactive distillation column model formulated from equilibrium stage theory was developed. The algorithm for solving mathematical model represented by sets of differential-algebraic equations was based on relaxation method. Numerical integration scheme based on backward differentiation formula was selected for solving the stiffness of differential-algebraic equations. Simulations were performed on a personal computer (PC Pentium processor) through a developed computer program using FORTRAN90 programming language. The proposed model was validated by comparing the simulated results with the published simulation results and with the pilot plant data from the literature. The model was capable of predicting high isobutene conversion for heterogeneous system, as desirable in industrial MTBE production process. The comparisons on temperature profiles, liquid composition profile and operating conditions of reactive distillation column also showed promising results. Therefore the proposed model can be used as a tool for the development and simulation of reactive distillation column.Keywords: Modeling, simulation, reactive distillation, relaxation method, equilibrium stage, heterogeneous, MTBE

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