Optimal Design of a Trickle Bed Reactor for Light Fuel Oxidative Desulfurization based on Experiments and Modelling

YesIn this work, the performance of oxidative desulfurization (ODS) of dibenzothiophene (DBT) in light gas oil (LGO) is evaluated with a homemade manganese oxide (MnO2/γ-Al2O3) catalyst. The catalyst is prepared by Incipient Wetness Impregnation (IWI) method with air under moderate operating conditions. The effect of different reaction parameters such as reaction temperature, liquid hour space velocity and initial concentration of DBT are also investigated experimentally. Developing a detailed and a validated trickle bed reactor (TBR) process model that can be employed for design and optimization of the ODS process, it is important to develop kinetic models for the relevant reactions with high accuracy. Best kinetic model for the ODS process taking into account hydrodynamic factors (mainly, catalyst effectiveness factor, catalyst wetting efficiency and internal diffusion) and the physical properties affecting the oxidation process is developed utilizing data from pilot plant experiments. An optimization technique based upon the minimization of the sum of the squared error between the experimental and predicted composition of oxidation process is used to determine the best parameters of the kinetic models. The predicted product conversion showed very good agreement with the experimental data for a wide range of the operating condition with absolute average errors less than 5%

Criteria for Outliers Detection in Nonlinear Regression Problems

This research activity deals with robust methods for parameters estimation of nonlinear models and the outliers detection. It specifically discusses some advances in criteria to discriminate among gross errors, bad experimental design, and inadequate model selection. All the methods and the criteria proposed in this work are implemented in BzzMath library, a free scientific tool to solve numerical problems

A Comprehensive Investigation of Outlier Sources for Models Fitting Experimental Data

The present activity deals with a comprehensive investigation of many sources of outliers. The practical field of fitting experimental data sets with regression models is selected as discussion case and the online detection of gross errors in raw data sets of a large-scale refinery process is adopted as final example

DIfferential and differential-algebraic systems for the chemical engineer: solving numerical problems

Quarto volume della serie proposta da Wiley-VCH "... for the Chemical Engineer" degli stessi autori. Questo libro descrive, implementa e applica nuovi algoritmi (che utilizzano calcolo parallelo e programmazione orientata agli oggetti) per la risoluzione di sistemi differenziali e BVP