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Tutorials

Common Workflows

Diagnostics
Scaling
- How to Create Scaler Objects in IDAES
Parameter estimation
- Parameter Estimation Using the NRTL State Block
- Parameter Estimation Using Flash Unit Model
Dynamic Modeling: Differential-Algebraic Equations
- PETSc Time-stepping Solver – Chemical Akzo Nobel Example
- PETSc Time-stepping Solver – PID Control and Steam Example

Flowsheets

Unit Models

Property packages

Property package utilities
- Create a dictionary and use Txy diagrams
- Using Parameter Estimation with Modular Property Packages
Writing custom property packages
- Introduction to Property Packages in IDAES
- Reaction Property Packages in IDAES

Surrogate models

Surrogate modeling
- ML/AI Best Practices: “Selecting Surrogate Model Form/Size for Optimization”
Python Surrogate Modeling Objects (PySMO)
- PySMO Tutorial
- Autothermal Reformer Flowsheet Optimization with PySMO Surrogate Object
Surrogate modeling with ALAMO
- Autothermal Reformer Flowsheet Optimization with ALAMO Surrogate Object
OMLT: Optimization and Machine Learning Toolkit
- Autothermal Reformer Flowsheet Optimization with OMLT (TensorFlow Keras) Surrogate Object
Supercritical CO2 ALAMO Surrogates
Supercritical CO2 Keras Surrogates
Supercritical CO2 PySMO Surrogates

Power generation

Power generation - Supercritical
- Supercritical Power Plant Flowsheet Example
- Supercritical Steam Cycle Example
Natural gas combined cycle
- NGCC Baseline and Turndown
Power generation - Solid Oxide Cell
- SOC Flowsheet — PID Control

OMLT: Optimization and Machine Learning Toolkit

OMLT: Optimization and Machine Learning Toolkit#

By The IDAES Team