A simultaneous‐modular approach to process flowsheeting and optimization. Part III: Performance on optimization problems

Chen, Hern-Shann; Stadtherr, Mark A.

doi:10.1002/aic.690311112

Cited by 15 publications

(2 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Similar subjects were treated by Biegler and Hughes (1982), Biegler and Cuthrell (1985), and Chan and Prince (1986). Chen and Stadtherr (1985) have developed a method for optimization of processes using simultaneous modular flowsheeting programs as a basis and pointed out the merits of this approach compared with applying the sequential modular formulation. In summary, a way of tackling process optimization by flow-sheet simulation is to solve min </>(x,v)…”

Section: Optimization Using Approximate Functionsmentioning

confidence: 99%

Parametric optimization of a paper machine heat recovery system

Gustafsson¹,

Henriksson²,

Saxén³

1990

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

Section: Optimization Using Approximate Functionsmentioning

confidence: 99%

Parametric optimization of a paper machine heat recovery system

Gustafsson¹,

Henriksson²,

Saxén³

1990

Ind. Eng. Chem. Res.

View full text Add to dashboard Cite

“…With availability of exact derivatives, the efficiency and reliability of an optimization strategy can be accelerated and improved. To address this problem, numerous studies (24)(25)(26)(27) have outlined efficient derivative calculation strategies. Another class of efficient sensitivity analysis is provided by the adjoint variable method (28,29).…”

Section: Introductionmentioning

confidence: 99%

Optimization of Bioreactor Using Metabolic Control Analysis Approach

Konde

Modak

2007

Biotechnology Progress

View full text Add to dashboard Cite

A new methodology based on a metabolic control analysis (MCA) approach is developed for the optimization of continuous cascade bioreactor system. A general framework for representation of a cascade bioreactor system consisting of a large number of reactors as a single network is proposed. The kinetic and transport processes occurring in the system are represented as a reaction network with appropriate stoichiometry. Such representation of the bioreactor systems makes it amenable to the direct application of the MCA approach. The process sensitivity information is extracted using MCA methodology in the form of flux and concentration control coefficients. The process sensitivity information is shown to be a useful guide for determining the choice of decision variables for the purpose of optimization. A generalized problem of optimization of the bioreactor is formulated in which the decision variables are the operating conditions and kinetic parameters. The gradient of the objective function to be maximized with respect to all decision variables is obtained in the form of response coefficients. This gradient information can be used in any gradient-based optimization algorithm. The efficiency of the proposed technique is demonstrated with two examples taken from literature: biotransformation of crotonobetaine and alcohol fermentation in cascade bioreactor system.

show abstract

Analysis of parallelism in modular flowsheet calculations

Chimowitz

Bielinis

1987

AIChE Journal

View full text Add to dashboard Cite

An analysis of parallelism for modular process flowsheet calculations is given. The central idea is to examine various algorithms that allow one to decouple and decentralize flowsheet calculations for computation in a multiprocessor environment. Specific algorithms are evaluated which make use of quasi-Newton updates to converge the flowsheet equations. From the analysis presented and example problems solved, it is clear that parallel processing can be used to enhance the computational speed of modular flowsheet calculations. In particular, various formulations of the simultaneous modular approach are analyzed to show how parallelism may be taken advantage of in flowsheet solutions.

show abstract

A simultaneous‐modular approach to process flowsheeting and optimization. Part III: Performance on optimization problems

Cited by 15 publications

References 13 publications

Parametric optimization of a paper machine heat recovery system

Parametric optimization of a paper machine heat recovery system

Optimization of Bioreactor Using Metabolic Control Analysis Approach

Analysis of parallelism in modular flowsheet calculations

Contact Info

Product

Resources

About