This work comprises of incremental enrichment of a steam methane reformer model to enable its use as a prediction tool for process changes. Using a variety of compounding improvements a model was developed that accurately predicts relevant outlet reformed gas parameters. This model reflects a real reformer including: physical and chemical catalyst degradation effects, geometry of real reformer design, real gas physical properties estimation, modern reaction kinetics and coking prediction. This model is validated and regressed against industrial data from the steam reformer of an operating methanol plant. Using this industrial data relevant key models of: reaction kinetics, heat transfer, pressure drop and higher hydrocarbon reaction k...
Thermochemical Packed-Bed (TPB) reformer has been substantially studiedin the past years as a promis...
Kinetic data relevant to steam methane reforming (SMR) are often applied to catalysts and conditions...
An investigation was conducted to determine the feasibility of developing a reduced order model capa...
Key decisions in developing a model of a steam methane reformer were investigated in this paper. A ...
Steam methane reformers are used in industry to convert methane (natural gas) and steam into hydroge...
Steam methane reforming is one of the most promising processes to convert natural gas into valuable ...
A model for a steam methane reformer tube was developed in Python to describe the behaviour of the r...
AbstractSteam methane reforming is an endothermic reaction which is considered as one of the main pr...
A steam reformer of a hydrogen plant is a device that supplies heat to convert the natural gas or li...
This work aims to develop a stationary phenomenological model of an industrial steam reforming unit....
Mathematical modelingand simulation of Steam MethaneReformer(SMR)over sulfide nickel catalyst on al...
Kinetic rate data for steam methane reforming (SMR) coupled with water gas shift (WGS) over an 18 wt...
Conversion of natural gas is becoming increasingly relevant in the future as the world energy market...
Steam reforming is industrially important as it is incorporated in several major chemical processes...
Hydrogen production technologies have emerged as a one of the most researched and promising future ...
Thermochemical Packed-Bed (TPB) reformer has been substantially studiedin the past years as a promis...
Kinetic data relevant to steam methane reforming (SMR) are often applied to catalysts and conditions...
An investigation was conducted to determine the feasibility of developing a reduced order model capa...
Key decisions in developing a model of a steam methane reformer were investigated in this paper. A ...
Steam methane reformers are used in industry to convert methane (natural gas) and steam into hydroge...
Steam methane reforming is one of the most promising processes to convert natural gas into valuable ...
A model for a steam methane reformer tube was developed in Python to describe the behaviour of the r...
AbstractSteam methane reforming is an endothermic reaction which is considered as one of the main pr...
A steam reformer of a hydrogen plant is a device that supplies heat to convert the natural gas or li...
This work aims to develop a stationary phenomenological model of an industrial steam reforming unit....
Mathematical modelingand simulation of Steam MethaneReformer(SMR)over sulfide nickel catalyst on al...
Kinetic rate data for steam methane reforming (SMR) coupled with water gas shift (WGS) over an 18 wt...
Conversion of natural gas is becoming increasingly relevant in the future as the world energy market...
Steam reforming is industrially important as it is incorporated in several major chemical processes...
Hydrogen production technologies have emerged as a one of the most researched and promising future ...
Thermochemical Packed-Bed (TPB) reformer has been substantially studiedin the past years as a promis...
Kinetic data relevant to steam methane reforming (SMR) are often applied to catalysts and conditions...
An investigation was conducted to determine the feasibility of developing a reduced order model capa...