Dynamics of a True Moving Bed Reactor: Synthesis of n-Propyl Propionate and an alternative optimization method

Nogueira, Idelfonso B. R.; Viena, Vinícius; Rodrigues, Alírio E.; Loureiro, José M.; Ribeiro, Ana M.

doi:10.1016/j.cep.2020.107821

Cited by 14 publications

(22 citation statements)

References 26 publications

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“…In [28] a true moving bed reactor was proposed and optimized to perform the synthesis of n-propyl propionate. Please refer to this work if the reader is interested in more details about the process, phenomenological model, and the system.…”

Section: Benchmark 4-egg Crate Function Constrainedmentioning

confidence: 99%

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From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy

et al. 2021

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The present work proposes a novel methodology for an optimization procedure extending the optimal point to an optimal area based on an uncertainty map of deterministic optimization. To do so, this work proposes the deductions of a likelihood-based test to draw confidence regions of population-based optimizations. A novel Constrained Sliding Particle Swarm Optimization algorithm is also proposed that can cope with the optimization procedures characterized by multi-local minima. There are two open issues in the optimization literature, uncertainty analysis of the deterministic optimization and application of meta-heuristic algorithms to solve multi-local minima problems. The proposed methodology was evaluated in a series of five benchmark tests. The results demonstrated that the methodology is able to identify all the local minima and the global one, if any. Moreover, it was able to draw the confidence regions of all minima found by the optimization algorithm, hence, extending the optimal point to an optimal region. Moreover, providing the set of decision variables that can give an optimal value, with statistical confidence. Finally, the methodology is evaluated to address a case study from chemical engineering; the optimization of a complex multifunctional process where separation and reaction are processed simultaneously, a true moving bed reactor. The method was able to efficiently identify the two possible optimal operating regions of this process. Therefore, proving the practical application of this methodology.

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Section: Benchmark 4-egg Crate Function Constrainedmentioning

confidence: 99%

“…Please refer to this work if the reader is interested in more details about the process, phenomenological model, and the system. The optimization problem for the synthesis of n-propyl propionate in a TMBR unit is a 5-dimensional problem and was written in [28] as:…”

Section: Benchmark 4-egg Crate Function Constrainedmentioning

confidence: 99%

From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy

et al. 2021

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“…Eluent and adsorbent are regenerated in Section Iand Section IV, respectively. n-Propyl Propionate (ProPro) is an ecofriendly product applied in drugs and ink production, polymerization reactions, coating industry, and as an additive for food and perfume [6]. The U.S. Environmental Protection Agency considers ProPro a harmless air pollutant and it is acknowledged as a biodegradable and non-toxic product.…”

Section: Introductionmentioning

confidence: 99%

A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor

et al. 2022

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n-Propyl Propionate (ProPro) is a harmless biodegradable product employed in several fields for the production of drugs, inks, coating, food, and perfume. ProPro is synthesized in an equilibrium reaction for which its yield can be enhanced by constant withdraw of the products as the reaction takes place. Simulated Moving Bed Reactor (SMBR) is a candidate for the production of ProPro with high efficiency as it is a multifunction unit able to simultaneously run reaction and separation, hence shifting the equilibrium reaction toward products. This paper proposes a complete phenomenological model for the ProPro synthesis in a Simulated Moving Bed Reactor (SMBR) packed with the heterogeneous catalyst Amberlyst 46 resin. The operating conditions are defined by the Triangle Theory to design an SMBR unit to produce ProPro efficiently and a comprehensive parameter estimation procedure is employed to obtain more representative parameters. The validated phenomenological model was applied to design an SMBR unit to produce high purity (99.28%) ProPro.

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“…As a result, these optimization methods offer an extensive database that contains essential information about the system behavior. This information is readily available to be used to trace a feasible operation region [7]. In addition, it is a waste of knowledge and computational effort not to take advantage of the potential that the data population can offer for the operation of the process.…”

Section: Introductionmentioning

confidence: 99%

“…The authors point out the necessity of developing modified optimization algorithms to solve the above-mentioned complex problems in the referred works. The authors of [7] study the optimization of a complex multifunctional chemical problem. In the referred work, the authors also pointed the necessity of developing a new optimization algorithm that can deal with the peculiarities and complexities of such a system.…”

Section: Introductionmentioning

confidence: 99%

From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization

et al. 2021

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This work presents a novel approach for multiobjective optimization problems, extending the concept of a Pareto front to a new idea of the Pareto region. This new concept provides all the points beyond the Pareto front, leading to the same optimal condition with statistical assurance. This region is built using a Fisher–Snedecor test over an augmented Lagragian function, for which deductions are proposed here. This test is meant to provide an approximated depiction of the feasible operation region while using meta-heuristic optimization results to extract this information. To do so, a Constrained Sliding Particle Swarm Optimizer (CSPSO) was applied to solve a series of four benchmarks and a case study. The proposed test analyzed the CSPSO results, and the novel Pareto regions were estimated. Over this Pareto region, a clustering strategy was also developed and applied to define sub-regions that prioritize one of the objectives and an intermediary region that provides a balance between objectives. This is a valuable tool in the context of process optimization, aiming at assertive decision-making purposes. As this is a novel concept, the only way to compare it was to draw the entire regions of the benchmark functions and compare them with the methodology result. The benchmark results demonstrated that the proposed method could efficiently portray the Pareto regions. Then, the optimization of a Pressure Swing Adsorption unit was performed using the proposed approach to provide a practical application of the methodology developed here. It was possible to build the Pareto region and its respective sub-regions, where each process performance parameter is prioritized. The results demonstrated that this methodology could be helpful in processes optimization and operation. It provides more flexibility and more profound knowledge of the system under evaluation.

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Dynamics of a True Moving Bed Reactor: Synthesis of n-Propyl Propionate and an alternative optimization method

Cited by 14 publications

References 26 publications

From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy

From an Optimal Point to an Optimal Region: A Novel Methodology for Optimization of Multimodal Constrained Problems and a Novel Constrained Sliding Particle Swarm Optimization Strategy

A Complete Heterogeneous Model for the Production of n-Propyl Propionate Using a Simulated Moving Bed Reactor

From a Pareto Front to Pareto Regions: A Novel Standpoint for Multiobjective Optimization

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