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Abbas Azarpour,Nima Rezaei,Sohrab Zendehboudi 한국공업화학회 2020 Journal of Industrial and Engineering Chemistry Vol.92 No.-
Control of product quality plays a crucial role in petrochemical industries. In this paper, we propose a newstrategy to control the quality of purified terephthalic acid (PTA) product. In this approach, the PTAquality is controlled by monitoring the concentration of the main impurity in the hydropurificationprocess, which is 4-carboxybenzaldehyde (4-CBA) in the crude terephthalic acid (CTA) powder. To attainthe research objectives, a dynamic dispersion model is developed in the face of catalyst deactivation,considering the vital operating parameters. The CTA powder streams with low and high 4-CBAconcentrations can be effectively used through a proper (and controlled) mixing procedure. This strategycan be applied by controlling the ratio of the massflowrates of the two streams, having high and lowconcentrations. The positive effect of H2 partial pressure on the system performance can be implementedby a small decrease in reactor temperature. Off-spec PTA powder can be used with the CTA powder havinga high 4-CBA concentration. Increasing temperature accelerates the reduction rate of the Pd/C catalystsurface area, leading to an unfavorable sintering phenomenon. The decreased activity of Pd/C catalyst isin good agreement with the normalized ratio of decrease in the surface area of pure Pd with increasingtemperature.
Performance analysis and modeling of catalytic trickle-bed reactors: a comprehensive review
Abbas Azarpour,Nima Rezaei,Sohrab Zendehboudi 한국공업화학회 2021 Journal of Industrial and Engineering Chemistry Vol.103 No.-
Trickle-bed reactors (TBRs) are extensively used in industry. There have been great progresses in designand control of the TBRs. However, more improvements are required in the performance/operation ofTBRs. These improvements can lead to more efficient process control and further reduction of the operationcosts. In terms of process efficiency, the product quality can be improved since a large number ofthe TBRs are used in purification processes. In terms of operation costs, the process improvement canresult in longer utilization of the catalysts because the catalytic TBRs’ operations usually suffer fromthe deactivation phenomenon for expensive catalysts. Hydrodynamic parameters play significant rolesin the control and operation of TBRs. We provide comprehensive information and discussion on TBRsapplication and hydrodynamic characteristics. Moreover, a systematic methodology is proposed todevelop a TBR mathematical model. A detailed review on the previous TBRs studies is presented, andtechnical issues in their design and operation are discussed. In addition, current challenges in the TBRmodeling are summarized, and further research plans/topics are suggested. This review provides anexhaustive knowledge and practical and theoretical tips that can be employed to more efficaciouslymodel targeted TBR processes, leading to better understanding of the process behaviours, and more efficientoperation of the relevant plants.
A novel modeling approach to optimize oxygen–steam ratios in coal gasification process
Arabloo, Milad,Bahadori, Alireza,Ghiasi, Mohammad M.,Lee, Moonyong,Abbas, Ali,Zendehboudi, Sohrab Elsevier 2015 Fuel Vol.153 No.-
<P><B>Abstract</B></P> <P>Coal gasification operation appears to be an essential element in the advanced energy systems, where the reaction between oxygen, steam and coal results in production of syngas (e.g., a mixture of carbon monoxide and hydrogen) under elevated pressure and temperature conditions. An efficient design for gasification process is expected if proper oxygen/steam rations are selected such that a thermal balance is established between the exothermic and endothermic reactions, leading to yield maximization of desired products in most cases. In this article, a rigorous modeling approach using support vector machine (SVM) algorithm is developed to estimate optimum oxygen–steam ratios required to balance the released heat and heat requirement in coal gasification process. An acceptable match between modeling outputs and real data is noticed so that the average absolute error is lower than 1.0%.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Support Vector Machine Algorithm is used to estimate oxygen–steam ratios in coal gasification process. </LI> <LI> The coupled simulated annealing optimization tool obtains the optimal model parameters. </LI> <LI> The model has been developed and tested using 100 series of the data. </LI> <LI> Excellent agreement between the results of model and reported data is observed. </LI> </UL> </P>