The integration of the output controllability index within the dynamic operability framework in process system design

Ekawati, Estiyanti; Bahri, Parisa A.

doi:10.1016/s0959-1524(03)00003-9

Cited by 14 publications

(7 citation statements)

References 16 publications

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“…The limitation of this approach is that it leads to conservative design, because the framework considers the worst‐case uncertainty scenario, even though the probability of the worst‐case uncertainty may not be high. Ekawati and Bahri155 presented the integration of the output controllability index156 within the dynamic operability framework to facilitate controllability and economic assessment of process system design for regulatory cases. This framework utilizes a geometric representation of the feasible operating region.…”

Section: Process Design Methods For Improving Controllabilitymentioning

confidence: 99%

Reductive Elimination of ArCF₃ from Bidentate Pd^II Complexes: A Computational Study

Anstaett

Schoenebeck

2011

Chemistry A European J

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The reductive eliminations of ArCF(3) from Pd(II) complexes bearing small- and large-bite-angle phosphane ligands have been investigated using computational methods. QM/QM' and QM/MM studies were applied and complemented with CP2K molecular dynamics investigations. The ligand substituents were varied and a decomposition analysis was performed to allow us to gain insights into the steric and electronic properties of the ligands. The greater reactivity of Xantphos-derived (Xantphos=4,5-bis(diphenylphosphino)-9,9-dimethylxanthene) complexes in the reductive elimination of ArCF(3) is primarily due to the lower repulsive effect of the phoshine substituents in the transition state than in the reactant complex, combined with the increased electronic interaction in the transition state. For DPPE (1,2-bis(diphenylphosphino)ethane), the steric effect of the ligand substituents is greater in the transition state, leading to a higher reaction barrier overall for reductive elimination. There is no direct correlation of the reactivity with the bite angle of the reactant complexes. Only for complexes with large ligand substituents may the bite angle of the Pd complexes be used as a guide for reactivity.

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Section: Process Design Methods For Improving Controllabilitymentioning

confidence: 99%

Reductive Elimination of ArCF₃ from Bidentate Pd^II Complexes: A Computational Study

Anstaett

Schoenebeck

2011

Chemistry A European J

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“…The AD system is subject to considerable uncertainties and disturbances affecting operating conditions and product qualities such as biogas and sludge composition. To help achieve optimum dynamic performances and economic profits, assessment of the performance with respect to controllability is required at the design phase [5]. Measures such as separation of the different process phases for the digestion technology help improve the stability and controllability.…”

Section: Inventory Simulationmentioning

confidence: 99%

Towards Model Predictive Control on Anaerobic Digestion Process

Oppong

Montague

Elaine

et al. 2013

IFAC Proceedings Volumes

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“…The limitation of this approach is that it leads to conservative design, because the framework considers the worst-case uncertainty scenario, even though the probability of the worst-case uncertainty may not be high. Ekawati and Bahri 155 presented the integration of the output controllability index 156 within the dynamic operability framework to facilitate controllability and economic assessment of process system design for regulatory cases. This framework utilizes a geometric representation of the feasible operating region.…”

Section: Optimization-based Approachesmentioning

confidence: 99%

An overview on controllability analysis of chemical processes

2011

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Controllability is one of the most important aspects of chemical process operability, because it can be used to assess the attainable operation of a given process and improve its dynamic performance. The purpose of this article is to outline the main methodologies that have been developed to deal with the assessment of process controllability and the improvement of its controllability characteristics. Several existing controllability assessment methods are reviewed and discussed. For improving the controllability characteristic of a process, there are two main design methods: the optimization-based method and the controllability indices-based anticipating sequential method. Advantages and disadvantages of these techniques are discussed. It has been emphasized that bifurcation analysis, as a powerful nonlinear analysis tool, could provide important guidance for making processes more controllable by eliminating or avoiding some undesirable behaviors of processes. Further challenges and developments in the field of process controllability are identified.

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The integration of the output controllability index within the dynamic operability framework in process system design

Cited by 14 publications

References 16 publications

Reductive Elimination of ArCF₃ from Bidentate Pd^II Complexes: A Computational Study

Reductive Elimination of ArCF₃ from Bidentate Pd^II Complexes: A Computational Study

Towards Model Predictive Control on Anaerobic Digestion Process

An overview on controllability analysis of chemical processes

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The integration of the output controllability index within the dynamic operability framework in process system design

Cited by 14 publications

References 16 publications

Reductive Elimination of ArCF3 from Bidentate PdII Complexes: A Computational Study

Reductive Elimination of ArCF3 from Bidentate PdII Complexes: A Computational Study

Towards Model Predictive Control on Anaerobic Digestion Process

An overview on controllability analysis of chemical processes

Contact Info

Product

Resources

About

Reductive Elimination of ArCF₃ from Bidentate Pd^II Complexes: A Computational Study

Reductive Elimination of ArCF₃ from Bidentate Pd^II Complexes: A Computational Study