biosteam_lca

An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.

https://github.com/scyjth/biosteam_lca

Science Score: 10.0%

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Keywords

environmental-impacts integrated-lca-and-tea life-cycle-assessment uncertainty
Last synced: 9 months ago · JSON representation

Repository

An agile life cycle assessment (LCA) platform that simultaneously characterize the economic and environmental impacts of biofuels and bioproducts under uncertainty.

Basic Info
  • Host: GitHub
  • Owner: scyjth
  • License: other
  • Language: Python
  • Default Branch: master
  • Homepage:
  • Size: 161 MB
Statistics
  • Stars: 15
  • Watchers: 3
  • Forks: 8
  • Open Issues: 1
  • Releases: 0
Topics
environmental-impacts integrated-lca-and-tea life-cycle-assessment uncertainty
Created about 6 years ago · Last pushed almost 5 years ago
Metadata Files
Readme License

README.rst

=========================================================================
BioSTEAM_LCA: The Biorefinery Simulation Module with Techno-Economic Analysis and Life Cycle Assessment
=========================================================================

.. image:: http://img.shields.io/pypi/v/biosteam-lca.svg?style=flat
   :target: https://pypi.org/project/biosteam-lca/
   :alt: Version_status
.. image:: http://img.shields.io/badge/license-UIUC-blue.svg?style=flat
   :target: https://github.com/scyjth/biosteam_lca/blob/master/LICENSE.txt
   :alt: license
.. image:: https://img.shields.io/pypi/pyversions/biosteam.svg
   :target: https://pypi.python.org/pypi/biosteam
   :alt: Supported_versions
.. image:: https://img.shields.io/badge/code%20style-black-000000.svg
    :target: https://github.com/python/black
    :alt: Formatted with Black





Biosteam_LCA is an an agile life cycle assessment (LCA) platform that enables the fast and flexible evaluation of the life cycle environmental impacts of biorefineries under uncertainty. It interfaces with BioSTEAM to simultaneously characterize environmental and economic metrics while enabling complete flexibility for user-defined biofuels, bioproducts, biomass compositions, and processes. This open-source, installable package allows users to perform streamlined LCAs of biorefineries. The focus of BioSTEAM-LCA is to streamline and automate early-stage environmental impact analyses of processes and technologies, and to enable rigorous sensitivity and uncertainty analyses linking process design, performance, economics, and environmental impacts.

This package is continuing to develop, with new features and extensions being added.

Getting started
~~~~~~~~~~~~~~~~

Installation
------------

Get the latest version from `PyPI `__. This package can be installed through pip::

    $ pip install biosteam_lca

To get the git version, run:

    $ git clone git://https://github.com/scyjth/biosteam_lca/tree/master/biosteam_lca


Prerequisites
-------------

- Valid [ecoinvent](https://www.ecoinvent.org) login credentials
- Alternatively, several open source life cycle inventory databases are built in, such as `FORWAST `__. 

Setup
-------------

Linking to other LCA repositories
***************************************************


If you have not done so, add the required conda channels to your conda config file. You also need to install brightway and eidl. 
The recommended way (Sep 2020) to install with conda is:

    $ conda install -c conda-forge -c cmutel -c haasad brightway2

    $ conda install -c haasad eidl

There has been more and more LCA researchers participating in open source communities. BioSTEAM_LCA interfaces with these excellent packages to enable rapid translation of biorefinery designs/processes and laboratory scale results to systems-scale sustainability assessments. This `Dashboard `__  contains a list of all related repositories for LCA researchers. 

Choose LCI Databases and impact assessment methods
***************************************************


User can create models using life cycle inventory data/datasets from any of the supported databases (including any version of the ecoinvent database, ecoinvent license required). LCI Database serves as a central source of critically reviewed, consistent, and transparent data. It allows users to objectively review and compare analysis results based on similar data collection and analysis methods.

Where the inventory inputs can be chosen from 

==========  =====================
Database    ``inputs``
==========  =====================
Ecoinvent   ``'ecoinvent'``
FORWAST     ``'forwast'``
U.S LCI     ``'us_lci'``
Customized  ``'user_customized'``
==========  =====================

User can choose from over 840+ different life cycle impact assessment (LCIA) methods, and automatically calculate the impact scores for any unit processes. Other than specified by user, the default assessment methods will be `U.S. EPA TRACI2.0 `__, which provides characterization factors for LCIA, industrial ecology, and sustainability metrics.


License information
~~~~~~~~~~~~~~~~

This project is licensed under the University of Illinois at Urbana-Champaign License. See the ``LICENSE.txt`` file for information on the terms & conditions, and a DISCLAIMER OF ALL WARRANTIES.


About the authors
~~~~~~~~~~~~~~~~

BioSTEAM_LCA was created and developed by Dr. Rui Shi 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) `__. 

References
~~~~~~~~~~~~~~~~
[1] Shi, Rui and Jeremy S. Guest, "BioSTEAM-LCA: An Integrated Modeling Framework for Agile Life Cycle Assessment of Biorefineries Under Uncertainty. " ACS Sustainable Chemistry & Engineering. Under review. 

Owner

  • Name: Lynn Shi
  • Login: scyjth
  • Kind: user
  • Company: University of Illinois at Urbana-Champaign

life cycle assessment practitioner

GitHub Events

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Rui Shi 4****h@u****m 64
Lynn Shi c****i@i****u 41
jeff-vincent j****t@g****m 2
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Dependencies

biosteam_lca/setting/setup.py pypi
biosteam_lca.egg-info/requires.txt pypi
  • Brightway2 >=2.3
  • biorefineries >=2.14.5
  • biosteam >=2.19.4
  • requests >=2.22.0
  • tabulate >=0.8.7
setup.py pypi
  • Brightway2 >=2.3
  • biorefineries >=2.14.5
  • biosteam >=2.19.4
  • requests >=2.22.0
  • tabulate *