The target approach to reactor synthesis tries to determine an upper bound for the performance of a chemical reactor network as measured by its objective function (such as yield or reactor volume). This leads to an optimal control formulation in which the residence time distribution and the micromixing function are the control variables. The optimal control problem is solved using a gradient ba...

Adaptation of network weights using LevenbergMarquardt (LM) training algorithm was proposed as a mechanism to improve the performance of Artificial Neural Networks (ANN) in modeling the Tennessee Eastman (TE) chemical process reactor. A Neural Network of the AutoRegressive, eXternal (NNARX) input model was developed. Four sub-models for the TE reactor were built. They are: the reactor level, th...

The paper is focused on the comparison of the reverse flow reactor (RFR) and of the counter-current reactor (CCR) operation, focusing the attention on the interaction between transport phenomena and chemical reactions, as well as on the analysis of the dynamic behavior. A heterogeneous mathematical model was used in order to investigate the performance of both reactor configurations. The role o...

The paper shows one approach to control of a nonlinear process represented by an isothermal continuous stirredtank reactor. The hybrid adaptive controller designed with the use of a polynomial synthesis, LinearQuadratic approach and spectral factorization was used for controlling of the product‘s concentration via change of the volumetric flow rate of the reactant. An adaptivity of the system i...

Biological and chemical process performance is largely determined by reactor performance. The stage for product quality and process efficiency and capacity is set by reaction yield and selectivity. The burden and difficulty for downstream separation and purification processes is minimized by better reactor control. In this tutorial the factors affecting reactor performance are described with ex...

A continuous flow parallel reactor system has been developed to provide a rapid and seamless transition from the discovery phase and production phase of chemical synthesis, particularly in low volume-high value pharmaceuticals production. Using a single fixed bed catalytic meso reactor, reactions can be screened on a small discovery scale over short time scales. The intensified process produces...

ABSTRACT This work deals with using of evolutionary algorithm SOMA for static optimization of a batch reactor for the purpose to improve its behavior in uncontrolled state and for its subsequent evolutionary predictive control. The main aim of this work is to show that evolutionary algorithms are capable of successful optimization of very difficult and complex engineering problems. The importan...

The direct measurement of the chemistry in reactor cores is extremely difficult. The extreme conditions of high temperature, pressure, and radiation fields, are not compatible with normal chemical instrumentation. There are also problems of access to fuel channels in the reactor core. For these reasons, all reaction vendors and many operators have extensively used theoretical calculations and c...

Upflow Anaerobic Sludge Blanket (UASB) reactor was investigated for the treatment of low biodegradable composite chemical wastewater, which was complex in nature and has low biodegradability (BOD/COD ratio ~0.32), with high concentrations of sulphate and total dissolved inorganic solids (TDIS). After inoculating with slaughterhouse wastewater treating anaerobic sludge, the reactor showed a rapi...

Networks C. A. Schweiger and C. A. Floudas1 Department of Chemical Engineering, Princeton University, Princeton, NJ 08544-5263, USA Abstract{The synthesis of optimal reactor networks using a superstructure based approach is considered. The fundamental units in the superstructure are the continuous stirred tank reactor (CSTR) and a cross ow reactor (CFR). The mathematical modeling leads to an op...