BioSTEAM: The Biorefinery Simulation and Techno-Economic Analysis Modules
BioSTEAM is a fast and flexible package for the design, simulation, and techno-economic analysis of biorefineries under uncertainty . BioSTEAM's framework is built to streamline and automate early-stage technology evaluations and to enable rigorous sensitivity and uncertainty analyses. Complete biorefinery configurations are available at the Bioindustrial-Park GitHub repository, BioSTEAM's premier repository for biorefinery models and results. The long-term growth and maintenance of BioSTEAM is supported through both community-led development and the research institutions invested in BioSTEAM, including the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI). Through its open-source and community-lead platform, BioSTEAM aims to foster communication and transparency within the biorefinery research community for an integrated effort to expedite the evaluation of candidate biofuels and bioproducts.
Get the latest version of BioSTEAM from https://pypi.python.org/pypi/biosteam/
If you have an installation of Python with pip, simple install it with:
$ pip install biosteam
To get the git version, run:
$ git clone git://github.com/BioSTEAMDevelopmentGroup/biosteam.git
BioSTEAM's documentation is available on the web:
To report bugs, please use the BioSTEAM's Bug Tracker at:
LICENSE.txt for information on the terms & conditions for usage
of this software, and a DISCLAIMER OF ALL WARRANTIES.
Although not required by the BioSTEAM license, if it is convenient for you, please cite BioSTEAM if used in your work. Please also consider contributing any changes you make back, and benefit the community.
BioSTEAM was created and developed by Yoel Cortes-Pena as part of the Guest Group and the Center for Advanced Bioenergy and Bioproducts Innovation (CABBI) at the University of Illinois at Urbana-Champaign (UIUC).
|||Cortes-Peña, Y.; Kumar, D.; Singh, V.; Guest, J. S. BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty. ACS Sustainable Chem. Eng. 2020. https://doi.org/10.1021/acssuschemeng.9b07040.|