Multiple-objective optimisation of a jacketed tubular reactor

Logist, Filip; Erdeghem, Peter Van; Smets, Ilse; Impe, Jan F. Van

doi:10.23919/ecc.2007.7068957

Cited by 5 publications

(3 citation statements)

References 13 publications

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“…Second, although different trade-off values A in the cost criterion are generally not regarded as model mismatch, this may also influence the reference profiles. However, it has been illustrated in a recent publication [38], that for these case studies the generic features remain the same even for substantial deviations from A = 0.5.…”

Section: Influence Of Uncertainty On the Reference Profilesmentioning

confidence: 70%

Derivation of generic optimal reference temperature profiles for steady-state exothermic jacketed tubular reactors

Logist

Smets

Impe

2008

Journal of Process Control

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This document contains the post-print pdf-version of the refereed paper: "Derivation of generic optimal reference temperature profiles for steady-state exothermic jacketed tubular reactors" by Filip Logist, Ilse Smets and Jan Van Impe which has been archived on the university repository Lirias (https://lirias.kuleuven.be/) of the Katholieke Universiteit Leuven. The content is identical to the content of the published paper, but without the final typesetting by the publisher.

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Section: Influence Of Uncertainty On the Reference Profilesmentioning

confidence: 70%

Derivation of generic optimal reference temperature profiles for steady-state exothermic jacketed tubular reactors

Logist

Smets

Impe

2008

Journal of Process Control

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“…To obtain the Pareto front with the exact (analytical) optimal control profiles, a four step procedure, which combines analytical and numerical optimal control techniques, is elaborated (see also [21]). First, analytical expressions for all possible arcs are calculated based on indirect optimal control techniques [22].…”

Section: Optimisation Proceduresmentioning

confidence: 99%

Optimal design of dispersive tubular reactors at steady-state using optimal control theory

Logist

Erdeghem

Smets

et al. 2009

Journal of Process Control

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This paper studies the design of optimal temperature profiles for a class of exothermic, jacketed dispersive tubular reactors under steady-state conditions and subject to maximum temperature constraints. The studied class ranges from perfectly mixed continuous stirred tank reactors to plug flow reactors. The aim is to derive the Pareto optimal set of temperature profiles for conflicting conversion and energy costs, while extracting generic features from the obtained solutions. Hereto, a four step procedure which is based on a weighted sum of both costs and which combines indirect, analytical and direct, numerical optimal control techniques, is employed. The generic features are studied (i ) along the Pareto set by varying the weights and (ii ) along the reactor class by adapting the dispersion level.

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“…Mathematical models have been proven to be an indispensable tool in chemical engineering research and design. For instance, model-based and computer-aided concepts are the standard in process analysis [1][2][3], process design [4][5][6], and condition monitoring [7][8][9]. To gain the most benefit of model-based approaches, the model-building process itself becomes a crucial step in computer-aided process analysis and design.…”

Section: Introductionmentioning

confidence: 99%

The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design

et al. 2018

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In the field of chemical engineering, mathematical models have been proven to be an indispensable tool for process analysis, process design, and condition monitoring. To gain the most benefit from model-based approaches, the implemented mathematical models have to be based on sound principles, and they need to be calibrated to the process under study with suitable model parameter estimates. Often, the model parameters identified by experimental data, however, pose severe uncertainties leading to incorrect or biased inferences. This applies in particular in the field of pharmaceutical manufacturing, where usually the measurement data are limited in quantity and quality when analyzing novel active pharmaceutical ingredients.Optimally designed experiments, in turn, aim to increase the quality of the gathered data in the most efficient way. Any improvement in data quality results in more precise parameter estimates and more reliable model candidates. The applied methods for parameter sensitivity analyses and design criteria are crucial for the effectiveness of the optimal experimental design. In this work, different design measures based on global parameter sensitivities are critically compared with state-of-the-art concepts that follow simplifying linearization principles. The efficient implementation of the proposed sensitivity measures is explicitly addressed to be applicable to complex chemical engineering problems of practical relevance. As a case study, the homogeneous synthesis of 3,4-dihydro-1H-1-benzazepine-2,5-dione, a scaffold for the preparation of various protein kinase inhibitors, is analyzed followed by a more complex model of biochemical reactions. In both studies, the model-based optimal experimental design benefits from global parameter sensitivities combined with proper design measures.

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Multiple-objective optimisation of a jacketed tubular reactor

Cited by 5 publications

References 13 publications

Derivation of generic optimal reference temperature profiles for steady-state exothermic jacketed tubular reactors

Derivation of generic optimal reference temperature profiles for steady-state exothermic jacketed tubular reactors

Optimal design of dispersive tubular reactors at steady-state using optimal control theory

The Impact of Global Sensitivities and Design Measures in Model-Based Optimal Experimental Design

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