Global sensitivity analysis for identifying critical process design decisions

Lucay, Freddy A.; Cisternas, Luís A.; Gálvez, Edelmira D.

doi:10.1016/j.cherd.2015.06.015

Cited by 24 publications

(12 citation statements)

References 28 publications

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“…In other words, the control of the uncertainty of the significant input variables allows for the control of uncertainty in the mill system. GSA has also been applied in the design or optimization of flotation circuits under uncertainty [169][170][171][172]. Sepúlveda et al [169] proposed a methodology for the conceptual design of flotation circuits.…”

Section: Uncertainty and Sensitivity Analysesmentioning

confidence: 99%

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

2019

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Multiphase systems are important in minerals processing, and usually include solid–solid and solid–fluid systems, such as in wet grinding, flotation, dewatering, and magnetic separation, among several other unit operations. In this paper, the current trends in the process system engineering tasks of modeling, design, and optimization in multiphase systems, are analyzed. Different scales of size and time are included, and therefore, the analysis includes modeling at the molecular level (molecular dynamic modeling) and unit operation level (e.g., computational fluid dynamic, CFD), and the application of optimization for the design of a plant. New strategies for the modeling, design, and optimization of multiphase systems are also included, with a strong focus on the application of artificial intelligence (AI) and the combination of experimentation and modeling with response surface methodology (RSM). The integration of different modeling techniques such as CFD with discrete element simulation (DEM) and response surface methodology (RSM) with artificial neural networks (ANN) is included. The paper finishes with tools to study the uncertainty, both epistemic and stochastic, based on uncertainty and global sensitivity analyses, which is present in all mineral processing operations. It is shown that all of these areas are very active and can help in the understanding, operation, design, and optimization of mineral processing that involves multiphase systems. Future needs, such as meso-scale modeling, are highlighted.

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Section: Uncertainty and Sensitivity Analysesmentioning

confidence: 99%

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

2019

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“…To apply the regionalization, one should first identify the effect of the influential input variables on the responses of the model. The goal of the regionalization is to identify operational regions of the process, as described in Lucay et al [45].…”

Section: Regionalization Of Input Variablesmentioning

confidence: 99%

A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Mellado¹,

Cisternas

Lucay

et al. 2018

Minerals

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Abstract:The heap leaching of minerals is one of the more commonly used processes in the mining industry. This process has been modeled by many authors. However, the validation, verification, and implementation of these models are difficult since there is uncertainty about the operating conditions and the leaching model parameters. This work uses the uncertainty quantification, based on uncertainty and sensitivity analysis, for studying the model strength against uncertainties in heap leaching. The uncertainty analysis (UA) is used to quantify the effect of the magnitude of the uncertainties of the input variables on the recovery of heap leaching. Global sensitivity analysis (GSA) is used to study the nature of connections between the recovery and input variables of the leaching model. In addition, GSA facilitates the detection of whether a leaching model is over-parameterized. The information obtained allows studying some applications of the kinetic model. The Mellado et al. kinetic model is used as an example. The UA results indicate that the kinetic model can estimate the recovery behavior considering the full range of uncertainties of input variables. The GSA indicates that the kinetic model is over-parameterized on the uncertainties range considered; this conclusion contradicts the results when the local sensitivity analysis is used. However, the model shows a good correlation between the results of GSA and the kinetic behavior of heap leaching. In addition, the kinetic model presents versatility because it allows the determination of operating regions for heap leaching.

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“…Therefore, modeling tools such as uncertainty analysis and global sensitivity analysis were included in the review. Both tools have been shown to be good approaches for considering uncertainties [10][11][12]. These and other topics are included in the review paper, and readers are recommended to read this review if they are interested in the topic or as an introduction to reading the other articles that cover specific themes.…”

mentioning

confidence: 99%

Editorial for Special Issue “Modeling, Design and Optimization of Multiphase Systems in Minerals Processing”

Cisternas

2020

Minerals

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Global sensitivity analysis for identifying critical process design decisions

Cited by 24 publications

References 28 publications

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

Trends in Modeling, Design, and Optimization of Multiphase Systems in Minerals Processing

A Posteriori Analysis of Analytical Models for Heap Leaching Using Uncertainty and Global Sensitivity Analyses

Editorial for Special Issue “Modeling, Design and Optimization of Multiphase Systems in Minerals Processing”

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