A Python class to hybridize lifecycle assessment (LCA) and environmentally extended input-output (EEIO) databases.
-
Updated
Jan 24, 2023 - Python
A Python class to hybridize lifecycle assessment (LCA) and environmentally extended input-output (EEIO) databases.
SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.
Download, unpack and import ecoinvent into your brightway2 project in one simple step
A python package to read, write, and calculate batteries in the BatPaC tool and the possibility to export to brightway2.
Coupling Energy System Models with Life Cycle Assessment
allows prospective LCA calculations for scenarios using the superstructure and scenario-difference-file approach of the activity-browser and brightway2
An open-source tool to facilitate environmental assesments for LCA practitioners. It consists in a Python code based on #brightway and an excel spreadsheet file that helps to calculate life-cycle impact assesment scores of anthropogenic systems.
Python class regionalizing processes from the ecoinvent database using trade date from the UN COMTRADE database and common sense.
Life cycle inventory (LCI) schema
Conversion utility to parse BONSAI resolved database dumps for Brightway2
Scripts and own generated data developed for the article: Miranda Xicotencatl, B., Kleijn, R., van Nielen, S., Donati, F., Sprecher B. & Tukker, A. (2023). Data implementation matters: Effect of software choice and LCI database evolution on a comparative LCA study of permanent magnets.
Installation of brightway2 and all of its dependencies in a new anaconda environment.
Add a description, image, and links to the brightway2 topic page so that developers can more easily learn about it.
To associate your repository with the brightway2 topic, visit your repo's landing page and select "manage topics."