Skip to main content

IDAES Process Systems Engineering Framework

Project description

IDAES Toolkit

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.

Project Build and Download Statuses

Tests Integration codecov Documentation Status GitHub contributors Merged PRs Issue stats Downloads

Getting Started

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-pse

Now, 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 --version

Now install the examples and the pre-build extensions (binary solvers):

idaes get-examples
idaes get-extensions  # on MacOS use: conda install -c conda-forge ipopt

This will install the examples into an examples subdirectory which can be opened using a Jypter Notebook:

jupyter notebook examples/notebook_index.ipynb

From 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 more detailed installation instructions, user guide, examples, technical specification, etc.

System requirements

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.

Contacts and more information

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

Funding acknowledgements

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.

Contributing

Please see our Advanced User Guide and Developer Documentation on how to work with the idaes-pse source code and contirbute 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

idaes-pse-1.13.0.tar.gz (7.3 MB view hashes)

Uploaded source

Built Distribution

idaes_pse-1.13.0-py3-none-any.whl (36.8 MB view hashes)

Uploaded py3

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page