Zone-wise surrogate modelling (ZSM) of univariate systems

Srinivas, Srikar Venkataraman; Karimi, Iftekhar A.

doi:10.1016/j.compchemeng.2023.108249

Cited by 1 publication

(1 citation statement)

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“…The former aims to select the variation range of the independent variables over which the accuracy of the final model is sufficiently high and no region with considerable deviation from the experimental data can be detected. In some studies, for instance, a repartition of the overall domain into multiple subdomains is performed to improve the accuracy of the surrogate model at the expense of the modeling procedure, which should be repeated as many times as the number of subdomains [24]. The latter, as mentioned in the introduction, aims to provide a uniform distribution of points to ensure homogeneous representation of all parts of the domain.…”

Section: Design Of Experimentsmentioning

confidence: 99%

Exploiting Domain Partition in Response Function-Based Dynamic Surrogate Modeling: A Continuous Crystallizer Study

Di Pretoro,

Montastruc,

Negny

2024

Dynamics

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Given the exponential rise in the amount of data requiring processing in all engineering fields, phenomenological models have become computationally cumbersome. For this reason, more efficient data-driven models have been recently used with the purpose of substantially reducing simulation computational times. However, especially in process engineering, the majority of the proposed surrogate models address steady-state problems, while poor studies refer to dynamic simulation modeling. For this reason, using a response function-based approach, a crystallization unit case study was set up in order to derive a dynamic data-driven model for crystal growth whose characteristic differential parameters are derived via Response Surface Methodology. In particular, multiple independent variables were considered, and a well-established sampling technique was exploited for sample generation. Then, different sample sizes were tested and compared in terms of accuracy indicators. Finally, the domain partition strategy was exploited in order to show its relevant impact on the final model accuracy. In conclusion, the outcome of this study proved that the proposed procedure is a suitable methodology for dynamic system metamodeling, as it shows good compliance and relevant improvement in terms of computational time. In terms of future research perspectives, testing the proposed procedure on different systems and in other research fields would allow for greater improvement and would, eventually, extend its validity.

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Section: Design Of Experimentsmentioning

confidence: 99%