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 and executing "enbios"
enbios is a Python package. It can be installed with the following two methods:
pip package
The pip version is obviously for execution as package.
- Set a Python environment
- Install the package with
pip install enbios
- Use class ENVIRO.
Source code
NOTE: Python3 and git required.
Clone this repository and execute "python setup.py install":
git clone https://github.com/ENVIRO-Module/enviro
cd enviro
git checkout develop
python3 setup.py install
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
Sustainability - Bioeconomy - Socio-Ecological Systems - Complex Adaptive Systems - Water-Energy-Food Nexus
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