An approach to on-line optimization of chemical plants

Zhang, Zejun; Pike, Ralph W.; Hertwig, Thomas A.

doi:10.1016/0098-1354(95)87054-7

Cited by 8 publications

(3 citation statements)

References 12 publications

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“…A number of successful applications have been published in the literature (e.g. Mudt et al, 1995;Zhang et al, 1995;Besl et al, 1997;Zhang et al, 1997;and Chen, et al, 1998).…”

mentioning

confidence: 95%

Performance Analysis of Perturbation-Based Methods for Real-Time Optimization

Zhang¹,

Forbes²

2008

Can. J. Chem. Eng.

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are the base on which any RTO system is built. A number of researchers have investigated the design and interaction of these two subsystems, particularly with respect to plant/model mismatch. The Two-Phase approach (Chen and Joseph, 1987) is the most widely used method for model updating and modelbased optimization in RTO. In this approach the optimization problem and parameter estimation problem are solved separately. Although this Two-Phase approach attempts to solve the RTO problem by updating the imperfect model, it will not necessarily converge to the correct optimum (Durbeck, 1965;Biegler et al., 1985;Forbes et al., 1994). To address this issue, methods have been proposed to deal explicitly with plant/model mismatch. These methods fall into two distinct classes: (1) those that modify the RTO problem directly; and (2) those that use adaptive control ideas modifi ed to suit RTO applications.This paper provides a comprehensive performance analysis approach for Real-Time Optimization (RTO) technologies, which incorporates systematic approaches to estimating bounds on the convergence behaviour and performance effects of on-line experiments used by a given RTO approach. The performance analysis method is illustrated by an investigation of the conventional two-phase approach and representative techniques drawn from the three main classes of perturbation-based RTO methods which attempt to directly compensate for plant/model mismatch through adaptation. The proposed approach is applied to two simulation-based case studies: a heat exchanger system and a continuous bioreactor.On présente dans cet article une méthode complète d'analyse de performance pour les technologies d'optimisation en temps réel (RTO), qui comporte des approches systématiques pour l'estimation des bornes de convergence et les effets de performance sur des expériences en ligne utilisées dans une approche RTO donnée. L'analyse de performance est illustrée par une étude de l'approche conventionnelle à deux phases et des techniques représentatives issues des trois catégories principales de méthodes RTO basées sur des perturbations et qui tentent de compenser directement l'incompatibilité usine/modèle par l'adaptation. La méthode proposée est appliquée à deux études de cas basées sur des simulations : un système d'échangeur de chaleur et un bioréacteur continu.

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“…A number of successful applications have been published in the literature (e.g. Mudt et al, 1995;Zhang et al, 1995;Besl et al, 1997;Zhang et al, 1997;and Chen, et al, 1998).…”

mentioning

confidence: 95%

Performance Analysis of Perturbation-Based Methods for Real-Time Optimization

Zhang¹,

Forbes²

2008

Can. J. Chem. Eng.

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“…These include deterministic, gradient-based methods such as Gauss-Newton or Gauss-Marquardt (e.g., [61,89,100,101]), reduced-gradient methods [10,13,28,51,72,86], and successive quadratic programming, which is the most used among industrial DR works, as well as derivative-free, metaheuristic random search algorithms, such as particle swarm optimization (PSO) [18,64]. Applicable deterministic solvers for large-scale nonlinear optimization problems are available as commercial and noncommercial software [48,[125][126][127], and generally incorporate second-derivative information from the optimization model, exploit the sparsity of the KKT matrix and problem structure, deal efficiently with large sets of active constraints, and handle dependent constraints and negative curvature.…”

Section: Optimization Algorithms For Nonlinear Programmingmentioning

confidence: 99%

Numerical Aspects of Data Reconciliation in Industrial Applications

et al. 2017

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Abstract:Data reconciliation is a model-based technique that reduces measurement errors by making use of redundancies in process data. It is largely applied in modern process industries, being commercially available in software tools. Based on industrial applications reported in the literature, we have identified and tested different configuration settings providing a numerical assessment on the performance of several important aspects involved in the solution of nonlinear steady-state data reconciliation that are generally overlooked. The discussed items are comprised of problem formulation, regarding the presence of estimated parameters in the objective function; solution approach when applying nonlinear programming solvers; methods for estimating objective function gradients; initial guess; and optimization algorithm. The study is based on simulations of a rigorous and validated model of a real offshore oil production system. The assessment includes evaluations of solution robustness, constraint violation at convergence, and computational cost. In addition, we propose the use of a global test to detect inconsistencies in the formulation and in the solution of the problem. Results show that different settings have a great impact on the performance of reconciliation procedures, often leading to local solutions. The question of how to satisfactorily solve the data reconciliation problem is discussed so as to obtain improved estimates.

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“…There are many published examples [1][2][3][4][5][6][7][8][9][10] that demonstrate that the appropriate application of CAPE tools can deliver substantial benefits. These examples cover a wide range of CAPE tools applied across the process industries.…”

Section: Applications For Interoperabilitymentioning

confidence: 99%

Interoperability of Process Simulation Software

Banks

Irons

Woodman

2005

Oil & Gas Science and Technology - Rev. IFP

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Résumé -Interopérabilité des logiciels de simulation de procédés -Cet article présente le rôle essentiel de l'interopérabilité logicielle dans le domaine CAPE (Computer Aided Process Engineering/ingénierie de procédés assistée par ordinateur), aussi bien dans l'industrie que dans les milieux académiques. Nous adoptons un point de vue essentiellement industriel et focalisé sur l'activité de simulation de procédés. Nous présentons l'environnement au sein duquel opèrent les activités CAPE, et nous discutons de l'importance de l'interopérabilité dans ce contexte. Nous évoquons ensuite les bénéfices apportés par l'interopérabilité, par rapport au statut actuel du marché des logiciels de ce domaine. Nous poursuivons en examinant ce qu'impliquent ces techniques pour les organisations et leurs collaborateurs, et nous concluons en présentant de quelle manière l'intéropérabilité logicielle pourrait être utilisée dans le futur. Abstract -Interoperability of Process Simulation Software -This paper discusses the impact of software interoperability in strengthening the role of industrial and academic Computer Aided Process Engineering (CAPE). The viewpoint is predominantly industrial and focused on the activity of process simulation.The paper outlines the environment within which CAPE now operates and discusses the meaning of interoperability in this context. It then looks at the benefits that interoperability can bring and reviews the current status of the market place. The paper goes on to discuss the implications of these new capabilities for organisations and individuals and concludes with a look at some of the ways in which interoperability could be used in the future. Software Interoperability for Petroleum ApplicationsInteropérabilité logicielle : les applications dans l'industrie pétrolière

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An approach to on-line optimization of chemical plants

Cited by 8 publications

References 12 publications

Performance Analysis of Perturbation-Based Methods for Real-Time Optimization

Performance Analysis of Perturbation-Based Methods for Real-Time Optimization

Numerical Aspects of Data Reconciliation in Industrial Applications

Interoperability of Process Simulation Software

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