Skip to content

This repository contains code for identification of kinetic models for methane complete oxidation using statistical parameter estimation and model-based design of experiments methods.

Notifications You must be signed in to change notification settings

UCL/Methane_oxidation

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

11 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Methane_oxidation

This repository contains code for identification of kinetic models for methane complete oxidation using statistical parameter estimation and model-based design of experiments methods.

The parameter estimation involved in this work was carried out in Pyomo (https://www.pyomo.org/) using the IPOPT solver. To use the solver, please get the executable file from GitHub using the link (https://github.com/coin-or/Ipopt/releases). If you are using Anaconda Python, download the zip folder (Ipopt-3.14.16-win64-msvs2019-md.zip) from the shared link and extract it to the anaconda "Library" folder. Then, provide the path to the ipopt executable file within the extracted folder, when the solver instance is created in Pyomo.

This file is updated by Arun

About

This repository contains code for identification of kinetic models for methane complete oxidation using statistical parameter estimation and model-based design of experiments methods.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Languages