Integrated design and control of chemical processes – Part I: Revision and classification

Vega, Pastora; Rocco, R. Lamanna de; Revollar, Silvana; Francisco, Mario

doi:10.1016/j.compchemeng.2014.05.010

Cited by 66 publications

(59 citation statements)

References 180 publications

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“…Nevertheless, a large and growing body of the current literature in this field has proposed novel methods that have attempted to resolve some unanswered and challenging questions in the field. A few reviews have classified the approaches for simultaneous design and control into five main categories: controllability index‐based approaches, dynamic optimization, robust‐based approaches, embedded control optimizations, and black‐box optimization approaches …”

Section: Introductionmentioning

confidence: 99%

“…A few reviews have classified the approaches for simultaneous design and control into five main categories: controllability index-based approaches, dynamic optimization, robust-based approaches, embedded control optimizations, and black-box optimization approaches. [4][5][6][7][8][9] One of the primitive resolutions for the integration of design and control is a multiobjective framework that can be applied to consider the trade-off between the conflicting goals of the process. As such, relative gain array, structural singular value, integral of squared error, resilience index, and condition number have been used as metrics in terms of objectives or constraints.…”

Section: Introductionmentioning

confidence: 99%

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A trust‐region framework for integration of design and control

Rafiei

Ricardez‐Sandoval

2020

AIChE Journal

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A trust‐region approach is presented to address the simultaneous design and control of large‐scale systems under uncertainty. The key idea is to represent the system using power series expansions (PSEs) as piecewise models in an iterative manner while the validity of those expansions is certified in a trusted region. The mean of squared errors is used as a metric to quantify the accuracy of the PSE approximations. Identified search regions specify the boundaries of the decision variables for the PSE‐based optimization problems. The proposed algorithm shows a significant accomplishment in locating dynamically feasible and near‐optimal design and operating conditions. The proposed approach was tested in a wastewater treatment plant and the Tennessee Eastman process. The results indicate that the proposed methodology leads to more economically attractive and reliable designs while maintaining the dynamic operability of the system in the presence of disturbances and uncertainty.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A trust‐region framework for integration of design and control

Rafiei

Ricardez‐Sandoval

2020

AIChE Journal

View full text Add to dashboard Cite

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“…En la literatura abundan propuestas para abordar el diseño simultáneo de procesos y su control [6], [7], [8] [9]. Algunas propuestas se enmarcan en las etapas iniciales del diseño, esto es, donde se define la estructura de la planta o el tipo de equipo y la estructura de control, siendo quizás la propuesta más conocida dentro de este ámbito las del tipo planta completa (plant wide).…”

Section: Introductionunclassified

Diseño Simultáneo de Procesos y su control usando Teoría de Conjuntos

Alzate¹

2015

prospect

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RESUMENEn el diseño simultáneo de proceso se diseña al mismo tiempo el proceso y su sistema de control. En este artículo se presenta una metodología para el diseño simultáneo, basada en los Métodos de Teoría de Conjuntos en Control. En estos métodos además de verificar que la propiedad de controlabilidad se cumpla, es posible cuantificar la controlabilidad y por tanto, complementa el tratamiento clásico para la verificación de la propiedad de controlabilidad. La metodología propuesta se aplica con éxito al conocido problema de referencia (benchmark) del CSTR, y se observa que después de aplicada la metodología, se debe disminuir el volumen del reactor, con el fin de tener un mejor valor del indicador de controlabilidad, que se evidencia en un mejor desempeño del lazo cerrado.Palabras Clave: Diseño Simultáneo; Modelo Semifísico de Base Fenomenológica; Métodos de Teoría de Conjuntos en Control, Problema de referencia CSTR. ABSTRACTIn simultaneous design of process both the process and its control system at the same time are designed, but process' controllability in a binary way is evaluated. This paper introduces a methodology for simultaneous design, based on Set-Theoretic Methods in Control. In the given methods there is a different approach of understanding the process' state controllability, which is complementary to the classical look, because it is possible to quantify controllability. The proposed methodology is successfully applied to a CSTR's benchmark, and it is observed that after the methodology is applied, the reactor volume must be decreased, in order to get a best value of controllability's indicator, which it is evidenced in an improved performance of the closed loop.Key words: Simultaneous design; Phenomenological based semiphysical model; Set-Theoretic Methods in Control; CSTR Benchmark. INTRODUCCIÓNEl diseño de procesos y su control es un área de investigación que emerge debido a las altas exigencias del mercado en términos de consumo energético y de calidad. Estas exigencias, junto con la alta interacción dinámica de los procesos complejiza, no sólo el diseño mismo del proceso, sino también su control. Lo anterior ha ocasionado que la forma tradicional de diseñar procesos químicos y su control; esto es, de manera secuencial [1], [2], metodología en la cual primero se diseña el proceso de tal forma que se garanticen un criterio económico en el estado estacionario y luego se

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“…7 cannot be considered in complete isolation from one another (Frangopoulos et al 2002;Voll 2014). In this respect, Herder and Weijnen (2000) and Vega et al (2014) stress on the need to consider all levels in an integrated manner (shown in Fig. 8).…”

Section: And Following Thermal Load (Ftl)mentioning

confidence: 99%

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

Andiappan

2017

Process Integr Optim Sustain

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An energy system is a crucial component in fulfilling the energy requirements of a given industrial process. If not designed appropriately, energy systems may not be able to perform designated operations in an optimised manner. Mathematical optimisation approaches have had a long history in addressing the synthesis of energy systems. Mathematical optimisation approaches are part of a larger domain known as process systems engineering (PSE). The main objective of this review is to provide a state-of-the-art overview of the mathematical optimisation approaches developed, particularly those developed for synthesis of energy systems, including the handling of uncertainty and the optimisation of multiple objectives. Subsequently, the synthesis of energy systems is further discussed on specific areas such as reliability, operability, flexibility and retrofit and eco-industrial parks. Following this, an overall analysis of the contributions in these areas is provided. Finally, future research directions are identified at the end of this review.

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Integrated design and control of chemical processes – Part I: Revision and classification

Cited by 66 publications

References 180 publications

A trust‐region framework for integration of design and control

A trust‐region framework for integration of design and control

Diseño Simultáneo de Procesos y su control usando Teoría de Conjuntos

State-Of-The-Art Review of Mathematical Optimisation Approaches for Synthesis of Energy Systems

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