A General Simulation Model and a Heating/Cooling Strategy to Improve Controllability of Batch Reactors

Bouhenchir, H.; Cabassud, Michel; Lann, M.V. Le; Casamatta, G.

doi:10.1205/026387601316971217

Cited by 14 publications

(12 citation statements)

References 11 publications

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“…In this equation, M is the molecular weight of base fluid; N is the Avogadro's number and ρ fo is the density of base fluid at the temperature (T 0 =293K). For calculating the thermal conductivity of Nano-fluids, following equation was proposed by Corcione [6][7][8][9][10][11]…”

Section: Data Reductionmentioning

confidence: 99%

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Application of Nano-Fluids to Heat Transfer Enhancement in Double-Walled Reactor

Ghahdarijani¹,

Hormozi²

2016

J Chem Eng Process Technol

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Efficiently cooling of a reactor for an exothermic reaction can lead the efficiency to be increased, while reduces the size of the rector. In the present research, aqueous Nano-fluid of Al 2 O 3 and CuO are used as heat transfer media flowing inside the reactor jacket to improve the heat transfer performance of a reacting system. Experiments have been performed to investigate the role of Nano-fluid in cooling of an exothermic reaction. The experimental facility provides conditions to control the generated heat during the reaction. Convective heat transfer coefficient and pressure drop of alumina/water and CuO/water Nano-fluids were experimentally measured. Nano-fluids were using two-step method at mass concentrations of 0.1-0.4%. The reactor is a stainless steel-made annular type, which is cooled by Nano-fluid flowing inside the annular section. For longer stability of Nano-fluids, surfactant and sonication were implemented. Results showed that by increasing the concentration of Nano-fluid and Reynolds number, the heat transfer coefficient increased. For CuO Nano-fluid, rate of enhancement for the convective heat transfer coefficient was 13% at 0.3% in comparison with the base fluid. While for aluminum Oxide at wt. %=0.4, the enhancement rate was 11.7%. Utilizing the Nano-fluid instead of traditional coolants, (e.g., water) resulted in a small penalty for the pressure drop. Higher level of pressure drop was registered for alumina Nano-fluid at wt%=0.4, which was 12% more than that of reported for the distilled water?

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Section: Data Reductionmentioning

confidence: 99%

“…The equation, which is used for the chamber of a tank to calculate the Nusselt number, is in the form of Eqation. (15)[10]:…”

mentioning

confidence: 99%

Application of Nano-Fluids to Heat Transfer Enhancement in Double-Walled Reactor

Ghahdarijani¹,

Hormozi²

2016

J Chem Eng Process Technol

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“…The main advantage of this model is that it allows to describe the mechanism of heat transfer inside the heat exchanger whatever the mode of arrangement chosen (in series, loop or complex) 3 . As in our case the type of arrangement of the two fl uids fl ow inside the heat exchanger loop is against the current.…”

Section: Modelling Of Heating Pencilmentioning

confidence: 99%

“…This is why the fi rst industries that have incorporated dynamic simulation as a tool active were oil and refi neries, where the control and preservation of production processes within a very small interval of operation provide a continuous stream of the product at a low added value type [3][4] . A dynamic simulation requires the simultaneous solution of algebraic and differential equations, so the adequate mathematical algorithms need to be incorporated into software.…”

Section: Introductionmentioning

confidence: 99%

Development of a Simulation Model for Controlling and Improving the Productivity of Batch Reactors

Henini

Souahi

Laidani

2013

Polish Journal of Chemical Technology

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This paper describes the development of a dynamic simulator model for a jacketed batch reactor equipped with a mono-fl uid heating/cooling system. The Mono-fl uid fl ows at constant fl ow-rate through the jacketed reactor. The heating and cooling are assured respectively by electrical resistance and two plate heat exchangers. A detailed description of the equations leading to the development of simulation model is presented. The model is based on writing the equations of the mass balance and the heat balance for the reactor and the thermal loop in unsteady state. To validate the simulation model, we fi rst studied the thermal behavior of the reaction mixture during heating and cooling, using water as the reaction mixture. We then considered the consecutive chemical reaction of the synthesis of cyclopentanediol from cyclopentadiene by studying the yield of this reaction. The results show that heating the reaction mixture increases signifi cantly the yield of this synthesis reaction.

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“…Essa premissa não foi verificada, por exemplo, em Bouhenchir et al (2001), que fez a modelagem da jaqueta para o enchimento e esvaziamento e para a troca térmica com a parede para um reator de jaqueta para a reação de glicol para formação de polímero.…”

Section: Balanço De Energia Com Estimação De Parâmetros Em Tempo Realunclassified

Controle De Reatores De Polimerização Baseado Na Estimação De Parâmetros Em Tempo Real

2013

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Este trabalho apresenta uma estratégia de controle baseada da estimação de parâmetros em tempo real utilizando o Filtro de Kalman que apresenta potencial para o desenvolvimento de estratégias de controle mais eficientes para reatores de polimerização descontínuos. Através da utilização do filtro de Kalman estendido (FKE) e de modelos simplificados de balanço de energia no reator e na jaqueta, obteve-se a estimação simultânea do calor de reação (QR) e do produto entre o coeficiente global de transferência de calor e a área de troca térmica (UA), utilizando apenas as medidas das temperaturas do processo. O modelo estocástico do processo, definido pelo FKE, foi utilizado para projetar um controlador por antecipação (feedforward), que através das estimativas de QR e UA, determina o setpoint para o controlador escravo (PI) em uma malha em cascata. A fim de testar a estratégia de controle proposta, utilizou-se um reator de polimerização benchmark proposto na literatura específica de controle de processos, cujo modelo matemático foi validado em uma planta de polimerização real. A estratégia proposta de controle baseada na estimação de parâmetros em tempo real foi capaz de manter a temperatura de reação adequadamente controlada frente a diversas perturbações. Além disso, revelou-se robusta, generalista e adequada para aplicações em reatores multipropósitos, visto que é capaz de estimar parâmetros de processo com base em modelos simplificados do balanço de energia tendo como variáveis medidas apenas as temperaturas do reator e da jaqueta.

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A General Simulation Model and a Heating/Cooling Strategy to Improve Controllability of Batch Reactors

Cited by 14 publications

References 11 publications

Application of Nano-Fluids to Heat Transfer Enhancement in Double-Walled Reactor

Application of Nano-Fluids to Heat Transfer Enhancement in Double-Walled Reactor

Development of a Simulation Model for Controlling and Improving the Productivity of Batch Reactors

Controle De Reatores De Polimerização Baseado Na Estimação De Parâmetros Em Tempo Real

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