A trust‐region framework for integration of design and control

Rafiei, Mina; Ricardez‐Sandoval, Luis A.

doi:10.1002/aic.16922

Cited by 17 publications

(4 citation statements)

References 69 publications

(160 reference statements)

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“…The solutions of the subset of problems are then reconciliated by an iterative procedure. In the literature, it is possible to find many studies addressing the integration of different layers of enterprise management, such as the integration of planning, scheduling, and control , and the integration of design and control. − …”

Section: Introductionmentioning

confidence: 99%

Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach

Vera

Ricardez‐Sandoval

2022

Ind. Eng. Chem. Res.

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A new back-off methodology is presented to address mixed integer dynamic optimization (MIDO) formulations that arise from modeling the integration of scheduling and control of flow-shop batch plants under stochastic parametric uncertainty. The core idea of the methodology is to generate optimal scheduling and control decisions combined with optimal unit operation times that offer dynamic feasibility in the presence of stochastic parametric uncertainty using a back-off strategy. Back-off terms are introduced in the model constraints to represent the variability of the system caused by the stochastic uncertainty. The proposed framework decomposes the MIDO problem into a parametric sensitivity analysis, a scheduling problem, a dynamic optimization problem, and a set of dynamic feasibility problems (dynamic feasibility test) that are solved in an iterative fashion until convergence. A key novelty in this work is the addition of a parametric sensitivity analysis that generates correlations included in the scheduling problem to account for process dynamics. A case study featuring a flow-shop batch plant consisting of two dynamic reaction processes and two steady-state separation processes is used to test the performance of the proposed back-off methodology. The results show that unit operation times chosen from optimization are better suited to accommodate stochastic parametric uncertainty, while the control actions enforce process operational and product quality constraints at reasonable economic costs. Hence, the method proposed in this work has the potential of addressing optimal scheduling and control problems under stochastic realizations in flow-shop batch plants.

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Section: Introductionmentioning

confidence: 99%

Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach

Vera

Ricardez‐Sandoval

2022

Ind. Eng. Chem. Res.

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“…These criteria were chosen according to the 12 principles of green and sustainable processes proposed by Jiménez-Gonzalez and Constable . Rafiei and Ricardez-Sandoval have also established that the sustainability of processes can be improved by employing a more integral approach where different parameters are considered. This integral approach considers different design variables that affect some parameters of sustainable process such as process controllability, safety, environmental impact, and economy.…”

Section: - Sustainable Processmentioning

confidence: 99%

Sustainable Process Design for Acetone Purification Produced via Dehydrogenation of 2-Propanol

Amezquita-Ortiz

Alcocer‐García

Contreras-Zarazúa

et al. 2022

Ind. Eng. Chem. Res.

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Acetone purification is one of the most critical stages of its production process, because a large amount of energy is required. Due to this high energy consumption, the process turns out to be not very sustainable and not friendly to the environment. In this sense, the development of intensified alternatives that minimize energy consumption in this process is of utmost importance. Besides, the safest possible processes are sought, so it is necessary that the control properties of these novel processes be studied at an early design stage. This work proposes two new intensified systems for the purification of acetone; the intensified schemes are a thermally coupled distillation system with a side rectifier and a Petlyuk arrangement. The results indicate that in this type of systems where interconnection flows are used, the magnitudes of these flows have a direct impact on energy consumption, because lower values of interconnection flows as in the case of the thermally coupled system achieve a reduction, whereas higher values as in the case of the Petlyuk system have a negative impact. As for the control properties, the intensified schemes present better values of the condition number with respect to the conventional design, because the interconnection flows reduce the disturbance of the manipulable variables. On the other hand, if the feed is disturbed, the interconnection flows generate an increase in the disturbance in the system, obtaining that the conventional system presents the best values. Therefore, making a balance between the studied designs and looking for a system that presents the best sustainability indicators, the thermally coupled system obtains the best results with a 25.92% energy saving and CO2 emission reduction with respect to the conventional system and acceptable values for the control and safety indexes.

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“…This approach has shown a significant accomplishment in locating dynamically feasible and near-optimal design and operating conditions. This methodology has been applied to the simultaneous design and control of a wastewater treatment plant and the Tennessee Eastman process [132,133].…”

Section: Simultaneous Design and Control Under Uncertaintymentioning

confidence: 99%

Advancements in Optimization and Control Techniques for Intensifying Processes

et al. 2021

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Process Intensification (PI) is a vast and growing area in Chemical Engineering, which deals with the enhancement of current technology to enable improved efficiency; energy, cost, and environmental impact reduction; small size; and better integration with the other equipment. Since process intensification results in novel, but complex, systems, it is necessary to rely on optimization and control techniques that can cope with such new processes. Therefore, this review presents some advancements in the field of process intensification that are worthy of exploring in detail in the coming years. At the end, several important open questions that can be taken into consideration in the coming years are listed.

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A trust‐region framework for integration of design and control

Cited by 17 publications

References 69 publications

Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach

Integration of Scheduling and Control for Chemical Batch Plants under Stochastic Uncertainty: A Back-Off Approach

Sustainable Process Design for Acetone Purification Produced via Dehydrogenation of 2-Propanol

Advancements in Optimization and Control Techniques for Intensifying Processes

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