Reconstruction of a distribution from a finite number of its moments: A comparative study in the case of depolymerization process - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Computers & Chemical Engineering Year : 2016

Reconstruction of a distribution from a finite number of its moments: A comparative study in the case of depolymerization process

Abstract

The resolution of the population balance equation (PBE) using moment-based methods offers a high computational efficiency however, information on the time evolution of the probability density function (PDF) is out of reach. For this, several PDF reconstruction methods using a finite number of moments are proposed in the literature. In this contribution, three different methods (i.e. beta kernel density function based method, spline based technique and the maximum entropy based approach) are tested and compared to the analytical solution of a depolymerization process. The maximum entropy method gives the most accurate approximations using only a set of six moments. This method is combined with the quadrature method of moments (QMOM) for a simultaneous reconstruction during the PBE resolution. A three nodes and a four nodes quadrature are tested. The results show that the quality of the reconstruction is highly dependent on the accuracy of the computed moments.
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Dates and versions

hal-01876363 , version 1 (16-11-2020)

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Noureddine Lebaz, Arnaud Cockx, Mathieu Sperandio, Jérôme Morchain. Reconstruction of a distribution from a finite number of its moments: A comparative study in the case of depolymerization process. Computers & Chemical Engineering, 2016, 84, pp.326-337. ⟨10.1016/j.compchemeng.2015.09.008⟩. ⟨hal-01876363⟩
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