The IDAES Toolkit aims to provide multi-scale, simulation-based, open source computational tools and models to support the design, analysis, optimization, scale-up, operation and troubleshooting of innovative, advanced energy systems.
Our complete documentation is online but here is a summarized set of steps to get started using the framework.
While not required, we encourage the installation of Anaconda or Miniconda and using the conda command to create a separate python environment in which to install the IDAES Toolkit.
Use conda to create a new "idaes-pse" (could be any name you like) environment then activate that environment:
conda create --name idaes-pse python=3
conda activate idaes-pseNow, in that "idaes-pse" environment, install the IDAES Toolkit using either pip install or conda install (but not both):
# install latest stable release
pip install idaes_pse
# install latest version from the main branch of this repository
pip install 'idaes-pse[prerelease] @ https://github.com/IDAES/idaes-pse/archive/main.zip'. You can check the version installed with the command:
idaes --versionNow install the examples and the pre-build extensions (binary solvers):
idaes get-examples
idaes get-extensions # on MacOS use: conda install -c conda-forge ipoptThis will install the examples into an examples subdirectory which can be opened using a Jypter Notebook:
jupyter notebook examples/notebook_index.ipynbFrom there you can explore the examples and tutorials.
For more information on how to use Jupyter Lab, use the built-in Help menu and the extensive documentation on the Jupyter website.
Finally, refer to the complete idaes-pse documentation for detailed installation instructions, examples, guides, and reference.
The code and examples have been tested with the following operating systems:
| Operating system | Supported versions |
|---|---|
| Linux | Any modern Linux |
| Windows | Windows 10 |
| Mac OSX | Not supported* |
*For advanced users, Mac OSX installation may be performed with some small changes to the Linux installation instructions.
Most of the functionality is implemented in Python. In accordance with the end-of-life for many Python 2 libraries, the IDAES Toolkit is written for Python 3. The following sub-versions are supported:
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
Note that Python 3.6 is not supported.
General, background and overview information is available at the IDAES main website. Framework development happens at our GitHub repo where you can ask questions by starting a discussion, report issues/bugs or make contributions. For further enquiries, send an email to: idaes-support@idaes.org
This work was conducted as part of the Institute for the Design of Advanced Energy Systems (IDAES) with support through the Simulation-Based Engineering, Crosscutting Research Program within the U.S. Department of Energy’s Office of Fossil Energy and Carbon Management (FECM). As of 2021, additional support was provided by FECM’s Solid Oxide Fuel Cell Program, and Transformative Power Generation Program.
Please see our Advanced User Installation and How-to Guides on how to work with the idaes-pse source code and contribute changes to the project.
By contributing to this repository, you are agreeing to all the terms set out in the LICENSE.md and COPYRIGHT.md files in this directory.