Indicators of environmental sustainability of energy systems using MuSIASEM and LCA methodologies
Project description
enbios - Enviro
Indicators of environmental sustainability of energy systems using MuSIASEM and LCA methodologies
Disclaimer: this README is still under elaboration, details may be missing or innacurate.
Table of Contents
Getting started
Features
- High level methods to quickly obtain/refresh analyses
Installing "enbios"
enbios is a Python package. It can be installed with the following two methods:
pip package
- Set a Python environment
- Install the package:
pip install enbios
Source code
Clone Github repository and execute "python setup.py install":
git clone https://github.com/ENVIRO-Module/enbios
cd enviro
git checkout develop
python3 setup.py install
Quick start
- Use class
Enviro
.
People
An enumeration of people who have contributed in different manners to the elaboration of enbios during SENTINEL project lifetime:
- Rafael Nebot. ITC-DCCT (Instituto Tecnológico de Canarias - Departamento de Computación)
- Cristina Madrid. ICTA-UAB (Institut de Ciència i Tecnologia Ambientals - Universitat Autònoma de Barcelona)
- Laura Talens Peiró. ICTA-UAB.
- Nicholas Martin. ICTA-UAB.
Contact
Please send any question regarding this repository to rnebot@itccanarias.org.
License
This project is licensed under the BSD-3 License - see the LICENSE file for details
Acknowledgements
The development of this software was supported by the European Union’s Horizon 2020 research and innovation programme under Grant Agreement No. 837089 (SENTINEL). This work reflects the authors' view only; the funding agencies are not responsible for any use that may be made of the information it contains.
Keywords
Energy Transitions - Sustainability - Bioeconomy - Complex Adaptive Systems - Circular Economy
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.