Observers are computational algorithms designed to estimate unmeasured state variables
due to the lack of appropriate estimating devices or to replace high-priced sensors in a plant …

Abstract The versatility of Artificial Intelligence (AI) in process systems is not restricted to
modelling and control only, but also as estimators to estimate the unmeasured parameters …

Currently, limited efforts have focused on the multi-objective optimization and effective
control of the side-stream extractive distillation processes (EDS). Herein, the EDS and a heat …

Levulinic acid obtained from acid hydrolysis of lignocellulosic biomass is considered within
the twelve main chemicals from biomass in terms of economic potential due to its large …

A kinetic study was performed over thermally aged and steam-aged Pt and Pt–Pd catalysts
to investigate the effect of temperature, and methane and water concentrations on the …

A novel model for prediction of the main product yields of thermal cracking of naphtha was
proposed using genetic algorithms (GAs). Researchers mainly use statistical approach and …

The review summarizes data published in the scientific and patent literature on the synthesis
of methanol in slurry reactors using finely divided heterogeneous catalysts suspended in …

In the present work, we have developed an optimization analysis based on entropy
generation minimization for the thermal cracking of methane gas. The CO2-free production …

Gasoline blending is a key process in the petroleum refinery industry posed as a nonlinear
optimization problem with heavily nonlinear constraints. This paper presents a DNA based …

Chemical engineering can be broadly defined as the process of converting a raw
material/energy into a useful product; no matter how complex the process, everything is …