GUI for brightway2

Layer over brightway2 for algebraic definition of parametric models and super fast computation of LCA

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.

Create foreground LCA models via an intuitive user interface and analyse them using Brightway2

Download, unpack and import ecoinvent into your brightway2 project in one simple step

Python class regionalizing processes from the ecoinvent database using trade date from the UN COMTRADE database and common sense.

Consequential Life Cycle Assessment Course at Aalborg University, May 2023

Coupling Energy System Models with Life Cycle Assessment

A python package to read, write, and calculate batteries in the BatPaC tool and the possibility to export to brightway2.

An interface between Brightway2 and the QSD packages for life cycle assessment data importing

allows prospective LCA calculations for scenarios using the superstructure and scenario-difference-file approach of the activity-browser and brightway2

This repository contains the code to reproduce the environmental life cycle assessment study of a novel pilot scale Spirulina biorefinery. This work was performed in the frame of the Circular Bio-based Europe project "SpiralG" from 2019 to 2022.

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.

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.

Prospective LCA is attributional Life cycle assessment which helps to predict the future of emission and impact of different processes and activites based on background scenarios.

Installation of brightway2 and all of its dependencies in a new anaconda environment.

This repository contains the code to reproduce the prospective consequential life cycle assessment study a bark biorefinery.