Recursive constant control policy algorithm for attainable regions analysis

Seodigeng, Tumisang; Hausberger, Brendon; Hildebrandt, Diane; Glasser, David

doi:10.1016/j.compchemeng.2008.09.016

Cited by 11 publications

(19 citation statements)

References 14 publications

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“…4,7 Whereas the simplistic approach depends upon a starting premise of a specific reactor configuration, the RCC policy does not and the optimal reactor configuration for attainment of the AR C emerges from the latter as an output. The simplistic approach, as might be expected, has been found to be both easier to apply and to understand.…”

Section: Discussionmentioning

confidence: 99%

“…It is also important to understand how successful this latter approach was when compared to the use of the RCC algorithm across the full dimensionality of the chemical reaction. 4,7 Consequently, the purpose of this paper is threefold: first, to use the RCC method to confirm the earlier results; 8,9 second, to confirm the applicability of the RCC method to derive candidate attainable regions; and finally to apply the method to solving multidimensional problems in reaction kinetics for chemical reactions of industrial significance.…”

Section: Introductionmentioning

confidence: 88%

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Candidate Attainable Regions for the Oxidative Dehydrogenation of n-Butane using the Recursive Constant Control (RCC) Policy Algorithm

Milne

Seodigeng

Glasser

et al. 2009

Ind. Eng. Chem. Res.

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Attainable region (AR) ideas have previously been used to identify candidate attainable regions (AR C s) for the oxidative dehydrogenation (ODH) of n-butane to butenes and butadiene and in so doing to identify the maximum possible yields of different hydrocarbon product. Because of the large dimensionality of the problem, it was not possible then to do a complete AR analysis. Among the configurations considered, it was found that the reactor configuration for the respective AR C s in all instances was an inert membrane reactor (IMR) functioning as a differential side-stream reactor in which one of the reactants, oxygen, was introduced along the length of the reactor so as to maintain a very low and constant value of its partial pressure. Nevertheless, despite producing high yields of product, extremely large and impractical residence times ensued. In this paper, a new tool, the recursive convex control (RCC) policy, is used to identify the AR C s in the full dimensional space. These AR C s showed excellent agreement with those previously published, and the optimal reactor structures presented in those publications have been confirmed albeit with different oxygen control parameters. The maximum yields are now achieved with very much lower residence times. These results also confirm the benefit from using the AR approach on problems where a full AR analysis is not possible.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 88%

Candidate Attainable Regions for the Oxidative Dehydrogenation of n-Butane using the Recursive Constant Control (RCC) Policy Algorithm

Milne

Seodigeng

Glasser

et al. 2009

Ind. Eng. Chem. Res.

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“…A stopping criterion suitable for automation of the algorithm is given elsewhere [32], however we refined the set of α values manually.…”

Section: Methodsmentioning

confidence: 99%

“…Regardless of these difficulties, powerful theoretical results were derived in a series of papers [ 20 - 22 ]. These theoretical results were recently used to formulate an automated algorithm for AR c construction [ 32 ] and we follow this algorithm to analyze the cSSF and cSHF reaction networks and build the candidate attainable regions. The algorithm can be summarized in the following steps:…”

Section: Methodsmentioning

confidence: 99%

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Attainable region analysis for continuous production of second generation bioethanol

Scott

Conejeros

Aroca

2013

Biotechnol Biofuels

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BackgroundDespite its semi-commercial status, ethanol production from lignocellulosics presents many complexities not yet fully solved. Since the pretreatment stage has been recognized as a complex and yield-determining step, it has been extensively studied. However, economic success of the production process also requires optimization of the biochemical conversion stage. This work addresses the search of bioreactor configurations with improved residence times for continuous enzymatic saccharification and fermentation operations. Instead of analyzing each possible configuration through simulation, we apply graphical methods to optimize the residence time of reactor networks composed of steady-state reactors. Although this can be easily made for processes described by a single kinetic expression, reactions under analysis do not exhibit this feature. Hence, the attainable region method, able to handle multiple species and its reactions, was applied for continuous reactors. Additionally, the effects of the sugars contained in the pretreatment liquor over the enzymatic hydrolysis and simultaneous saccharification and fermentation (SSF) were assessed.ResultsWe obtained candidate attainable regions for separate enzymatic hydrolysis and fermentation (SHF) and SSF operations, both fed with pretreated corn stover. Results show that, despite the complexity of the reaction networks and underlying kinetics, the reactor networks that minimize the residence time can be constructed by using plug flow reactors and continuous stirred tank reactors. Regarding the effect of soluble solids in the feed stream to the reactor network, for SHF higher glucose concentration and yield are achieved for enzymatic hydrolysis with washed solids. Similarly, for SSF, higher yields and bioethanol titers are obtained using this substrate.ConclusionsIn this work, we demonstrated the capabilities of the attainable region analysis as a tool to assess the optimal reactor network with minimum residence time applied to the SHF and SSF operations for lignocellulosic ethanol production. The methodology can be readily modified to evaluate other kinetic models of different substrates, enzymes and microorganisms when available. From the obtained results, the most suitable reactor configuration considering residence time and rheological aspects is a continuous stirred tank reactor followed by a plug flow reactor (both in SSF mode) using washed solids as substrate.

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AR Construction Algorithms

2016

Attainable Region Theory

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Recursive constant control policy algorithm for attainable regions analysis

Cited by 11 publications

References 14 publications

Candidate Attainable Regions for the Oxidative Dehydrogenation of n-Butane using the Recursive Constant Control (RCC) Policy Algorithm

Candidate Attainable Regions for the Oxidative Dehydrogenation of n-Butane using the Recursive Constant Control (RCC) Policy Algorithm

Attainable region analysis for continuous production of second generation bioethanol

AR Construction Algorithms

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