qsdsan 0.3.11

Quantitative Sustainable Design for sanitation and resource recovery systems

Contents

• What is QSDsan?

• Installation

• Documentation

• About the authors

• Contributing

• License information

• References

What is QSDsan?

QSDsan is an open-source, community-led platform for the quantitative sustainable design (QSD) of sanitation and resource recovery systems. It is one of a series of platforms that are being developed for the execution of QSD - a methodology for the research, design, and deployment of technologies and inform decision-making [1]. It leverages the structure and modules developed in the BioSTEAM platform [2] with additional functions tailored to sanitation processes.

As an open-source and impact-driven platform, QSDsan aims to identify configuration combinations, systematically probe interdependencies across technologies, and identify key sensitivities to contextual assumptions through the use of quantitative sustainable design methods (techno-economic analysis and life cycle assessment and under uncertainty).

All systems developed with QSDsan are included in the package EXPOsan - exposition of sanitation and resource recovery systems.

Additionally, another package, DMsan (decision-making for sanitation and resource recovery systems), is being developed for decision-making among multiple dimensions of sustainability with consideration of location-specific contextual parameters.

Installation

The easiest way is through pip, in command/Anaconda prompt (Windows) or terminal (macOS):

pip install qsdsan

You can also download the package from PyPI.

Note that development of this package is currently under initial stage with limited backward compatibility, please feel free to submit an issue for any questions regarding package upgrading.

If you prefer the most recent version on GitHub, please follow the steps in the Contributing to QSDsan section of the documentation.

Documentation

You can find tutorials and documents at:

https://qsdsan.readthedocs.io

All tutorials are written using Jupyter Notebook, you can run your own Jupyter environment, or you can click the launch binder badge on the top to launch the environment in your browser.

For each of these tutorials, we are also recording videos where one of the QSD group members will go through the tutorial step-by-step. We are gradually releasing these videos on our YouTube channel so subscribe to receive updates!

Additionally, we are actively developing education modules for QSDsan (and other libraries/packages developed by the QSD group, you can find them in the QSDedu repository).

About the authors

Development and maintenance of the package is supported by the Quantitative Sustainable Design Group led by members of the Guest Group at the University of Illinois Urbana-Champaign (UIUC). Core contributors are listed below, please refer to the author page for the full list of authors.

Lead developers:

• Yalin Li (current maintainer)

• Joy Zhang

Tutorials and videos:

• Yalin Li (current maintainer)

• Joy Zhang

• Tori Morgan

• Hannah Lohman

Project conception & funding support:

• Jeremy Guest

Special acknowledgement:

• Yoel Cortés-Peña for helping many of the QSDsan members get started on Python and package development.

Contributing

Please refer to the Contributing to QSDsan section of the documentation for instructions and guidelines.

License information

Please refer to the LICENSE.txt for information on the terms & conditions for usage of this software, and a DISCLAIMER OF ALL WARRANTIES.

References

[1]

Li, Y.; Trimmer, J. T.; Hand, S.; Zhang, X.; Chambers, K. G.; Lohman, H. A. C.; Shi, R.; Byrne, D. M.; Cook, S. M.; Guest, J. S. Quantitative Sustainable Design (QSD): A Methodology for the Prioritization of Research, Development, and Deployment of Technologies. Critial Review Proposal Submitted, 2021.

[2]

Cortés-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, 8 (8), 3302–3310. https://doi.org/10.1021/acssuschemeng.9b07040.