Dynamic optimization of batch processes

Srinivasan, Balasubramaniam; Bonvin, Dominique; Visser, Ewart J. de; Паланки, Сринивас

doi:10.1016/s0098-1354(02)00117-5

Cited by 298 publications

(57 citation statements)

References 56 publications

(79 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…An overall joint failure probability results in the form P f = P f 1 + P f 2 , equivalent to the 'failure surface' in the 'most probable failure point' theory. [10][11][12][13][14][15] In the considered case study, the parameter vector is f = [M, T a , P 0 ], while the control variables are…”

Section: Resultsmentioning

confidence: 99%

“…the performance objective, or 'cost' function in financial or engineering terms) while considering the mass, heat, and momentum equations together with the technological-safety constraints. 4,15 For multi-objective optimization with contrary objectives, one elegant option is to obtain the set of Pareto optimal solutions, also called "Pareto-front" for the case of at least two adverse objectives. A Pareto solution is one where any improvement in one objective can only take place at the cost of another objective.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Derivation of Pareto Optimal Operating Policies Based on Safety Indices for a Catalytic Multi-tubular Reactor Used for Nitrobenzene Hydrogenation

Maria

Khwayyir

Dinculescu

2016

Chem.Biochem.Eng.Q.

View full text Add to dashboard Cite

When highly exothermic/hazardous reactions are conducted in the presence of parametric uncertainty, derivation of optimal operating policies for a chemical reactor has to simultaneously consider several objectives of sustainability. The paper uses an original methodology to generate the Pareto optimal solutions when reactor productivity and safety objectives (expressed in probabilistic terms) are simultaneously considered using the process and reactor model in a simple way, in the presence of technological constraints, uncertainty in safety boundaries, and random fluctuations in control variables. An example is provided for the industrial fixed-bed tubular reactor used for the catalytic hydrogenation of nitrobenzene to aniline in vapour-phase.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Derivation of Pareto Optimal Operating Policies Based on Safety Indices for a Catalytic Multi-tubular Reactor Used for Nitrobenzene Hydrogenation

Maria

Khwayyir

Dinculescu

2016

Chem.Biochem.Eng.Q.

View full text Add to dashboard Cite

show abstract

“…Our future work will consider an extension of the proposed optimal operation for multi-component systems, an experimental verification of the presented advanced operation in laboratory conditions, and an implementation of robust control capable of dealing with the model errors and plant uncertainties such as presented in [45,46].…”

Section: Discussionmentioning

confidence: 99%

Economically optimal batch diafiltration via analytical multi-objective optimal control

Paulen

Jelemenský

Kovács

et al. 2015

Journal of Process Control

View full text Add to dashboard Cite

“…Echtzeitprobleme durch lange Rechenzeiten können durch geschickte Dekompositionsansätze überwunden werden. Die Methoden sind entweder rigoros [12] oder durch das Tracking der notwendigen Optimalitätsbedingun-gen (NCO-Tracking) speziell anwendungs-und verständnisfreundlich formuliert [53,54].…”

Section: Akademische Beispieleunclassified

Automation and Optimization of Startups, Load Changes and Batch Processes

Krämer

Dünnebier

Kahrs

et al. 2011

Chemie Ingenieur Technik

View full text Add to dashboard Cite

Bei Konti-Anlagen treten oft dynamischen Übergangsvorgänge, wie Anfahr-, Last-oder Produktwechsel, auf, wohingegen Automation and Optimization of Startups, Load Changes and Batch ProcessesContinuous processes show dynamics during load changes, start-up and shutdowns whereas batch processes exhibit inherent dynamics. In the past, the major concern of automating these dynamics states of process operation were safe and reproducible operation, however, today modern methods of process operation allow for the economic optimization at the same time. The automation and optimization of batch processes pose challenges in several areas: Mastering the high complexity, connecting heterogeneous components by automation, and combining extensive knowledge from both process engineering and automation during project execution. This contribution describes approaches from industrial practice and punctually academic research, which solutions for the challenges are readily available and how to implement these.

show abstract

Dynamic optimization of batch processes

Cited by 298 publications

References 56 publications

Derivation of Pareto Optimal Operating Policies Based on Safety Indices for a Catalytic Multi-tubular Reactor Used for Nitrobenzene Hydrogenation

Derivation of Pareto Optimal Operating Policies Based on Safety Indices for a Catalytic Multi-tubular Reactor Used for Nitrobenzene Hydrogenation

Economically optimal batch diafiltration via analytical multi-objective optimal control

Automation and Optimization of Startups, Load Changes and Batch Processes

Contact Info

Product

Resources

About