Dynamic optimization of a cryogenic air separation unit using a derivative-free optimization approach

Negrellos-Ortiz, Israel; Flores‐Tlacuahuac, Antonio; Gutiérrez-Limón, Miguel Ángel

doi:10.1016/j.compchemeng.2017.10.020

Cited by 24 publications

(5 citation statements)

References 27 publications

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“…The arc ek is noted as Equat meaning the directed arc from vi to vj. And the set of functions φ is denoted as Eq (5), indicating that φ is the sign of arc ek and is taken the values "+" or "−":…”

Section: Signed Directed Graphmentioning

confidence: 99%

“…As a multipurpose and maneuverable process simulation method, dynamic simulation is able to accurately reflect the timely response of chemical processes by introducing time variables [4]. Dynamic simulation is frequently used as a substitute for real situation to optimize process system, demonstrate the complex control system scheme, and observe the dynamic changes of the system when faults occur [5]. For instance, dynamic simulation made a great contribution to the proposal of an effective control scheme for the coal pyrolysis wastewater treatment process [6].…”

Section: Introductionmentioning

confidence: 99%

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A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph

et al. 2021

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Due to the complexity of materials and energy cycles, the distillation system has numerous working conditions difficult to troubleshoot in time. To address the problem, a novel DMA-SDG fault identification method that combines dynamic mechanism analysis based on process simulation and signed directed graph is proposed for the distillation process. Firstly, dynamic simulation is employed to build a mechanism model to provide the potential relationships between variables. Secondly, sensitivity analysis and dynamic mechanism analysis in process simulation are introduced to the SDG model to improve the completeness of this model based on expert knowledge. Finally, a quantitative analysis based on complex network theory is used to select the most important nodes in SDG model for identifying the severe malfunctions. The application of DMA-SDG method in a benzene-toluene-xylene (BTX) hydrogenation prefractionation system shows sound fault identification performance.

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Section: Signed Directed Graphmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Additionally, a proprietary derivative-free algorithm is used to search for the least-costly system. The Pseudo-codes of these two algorithms can be seen in [42] and [43]. The proven superiority of the grid search algorithm in comparing the other optimization algorithm is the capa bility of selecting the best parameters for the optimization problem from the provided list of parameter options [44].…”

Section: E Optimization Modelmentioning

confidence: 99%

Optimal Cost Management of Distributed Generation Units and Microgrids for Virtual Power Plant Scheduling

2020

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“…Hence, it is inevitable that the existing RB‐CCD methods consume numerous computational resources to perform the time‐consuming system simulations when encountering the RB‐CCD problem in the sophisticated dynamic system. Moreover, in some practical situations, dynamics models are generated by industrial simulation software or platforms, the state equation is implicit since the state equation expressed by the differential algebraic equations cannot be extracted directly from the models 28 . Although the current RB‐CCD methods can optimize the RB‐CCD problem in the lack of the explicit state equation by using the finite‐difference technique, there is no doubt that the number of system simulations will be further increased, and the computational burden will be further exacerbated.…”

Section: Introductionmentioning

confidence: 99%

A Dendrite Net based decoupled framework for the reliability‐based control co‐design problem

Zhang,

Wu,

Qiao

2023

Quality & Reliability Eng

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To improve the reliability of the dynamic system including physical and control design, the reliability‐based control co‐design (RB‐CCD) problem has been studied to account for the uncertainty stemming from the random physical design. However, when encountering RB‐CCD in the sophisticated system in which the dynamic model simulation is time‐consuming or the state equation is expressed implicitly, the available RB‐CCD methods will consume significant computational effort to perform numerous system simulations for the reliability analysis and deterministic optimization. Therefore, this work proposes a Dendrite Net‐based decoupled framework for RB‐CCD to alleviate the computational burden. Specifically, the Dendrite (DD) model constructed by the suggested training scheme integrated with an adaptive sampling strategy is used to approximate the state equation in the dynamic system. After that, the sequential optimization and reliability assessment method decouples RB‐CCD into the control co‐design (CCD) problem and time‐dependent reliability assessment problem, which are solved sequentially based on the cheap estimations of DD model, rather than the expensive simulations of the original system. Furthermore, two numerical examples and an engineering example of 3‐DOF robot system are applied to demonstrate the feasibility and efficiency of the proposed framework.

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Dynamic optimization of a cryogenic air separation unit using a derivative-free optimization approach

Cited by 24 publications

References 27 publications

A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph

A Fault Identification Method in Distillation Process Based on Dynamic Mechanism Analysis and Signed Directed Graph

Optimal Cost Management of Distributed Generation Units and Microgrids for Virtual Power Plant Scheduling

A Dendrite Net based decoupled framework for the reliability‐based control co‐design problem

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