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Sensitivity and Uncertainty Analysis of Variable-Volume Deterministic Model for Endothermic Continuously Stirred Tank Reactor

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dc.creator Muhirwa, Jean Pierre
dc.creator Mbalawata, Isambi Sailon
dc.creator Masanja, Verdiana Grace
dc.date 2021-05-19T08:08:45Z
dc.date 2021-05-19T08:08:45Z
dc.date 2021-05-04
dc.date.accessioned 2022-10-25T09:15:47Z
dc.date.available 2022-10-25T09:15:47Z
dc.identifier 2349-0640
dc.identifier https://dspace.nm-aist.ac.tz/handle/20.500.12479/1176
dc.identifier.uri http://hdl.handle.net/123456789/94601
dc.description This research article published by the Journal of Mathematics and Informatics, Vol. 20, 2021
dc.description This paper deals with the formulation and the identifiability of the variablevolume deterministic model for the endothermic continuously stirred tank reactor (CSTR). The identifiability of physical parameters of the formulated model is done by using the least squares and the delayed rejection adaptive algorithm version of the Markov chain Monte Carlo (MCMC) method. The least square estimates are used as prior information for the MCMC method. To measure the model output associated with the perturbed model parameters, we use global sensitivity analysis implemented in Latin Hypercube Sampling method. The obtained results from partial rank correlation coefficients show that six parameters are very sensitive and correlated with the model outputs. Finally, we show that the least square and the MCMC numerical results impart the model to be realistic, reliable and worthwhile to describe the dynamics of CSTR processes as physical parameters of the model are well identified and their uncertainties in the model response are analysed and quantified.
dc.format application/pdf
dc.language en
dc.publisher Journal of Mathematics and Informatics
dc.subject Variable-volume
dc.subject Markov chain Monte Carlo
dc.subject Continuously stirred tank reactor
dc.title Sensitivity and Uncertainty Analysis of Variable-Volume Deterministic Model for Endothermic Continuously Stirred Tank Reactor
dc.type Article


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