Kinetic Parameter Estimation Toolbox (KIPET)

KIPET is the one-stop shop for kinetic parameter estimation from batch and fed-batch reactor systems using spectroscopic or concentration data. KIPET is a Python-based package using maximum-likelihood statistics, large-scale nonlinear programming optimization, and finite element discretization in a unified framework to solve a variety of parameter estimation problems. Use KIPET to:

• Simulate reactive system described with DAEs

• Solve DAE systems with collocation methods

• Pre-process data

• Perform estimability analysis

• Estimate data variances

• Estimate kinetic parameters

• Estimate confidence intervals of the estimated parameters

• Estimate parameters from multiple datasets with different experimental conditions

• Obtain the most informative wavelength set to obtain minimal lack-of-fit

• Analyze your system (SVD, PCA, lack of fit, etc.)

• Visualize results

Table of Contents

• Installation Guide
• Overview
• Background
• Getting Started with KIPET
• Examples
• Citing KIPET
• References
• Code Documentation

Indices and tables

• Index

• Module Index

• Search Page

KIPET Resources

KIPET development is hosted on GitHub and we welcome feedback and questions there:

https://github.com/salvadorgarciamunoz/KIPET

KIPET makes use of Pyomo as the algebraic modeling language and much of the syntax can be found here:

https://pyomo.readthedocs.io/en/stable/