enbios 0.74

Indicators of environmental sustainability of energy systems using MuSIASEM and LCA methodologies

ENBIOS

Environmental and bioeconomic system assessment for energy system optimization model (ESOM) scenarios.

Table of Contents

What is enbios

ENBIOS (Environmental and Bioeconomic System Analysis) is an assessment framework designed for the assessment of the environmental impacts and resource use of energy pathways resulting from energy system optimization models (ESOMs).

It integrates Life Cycle Assessment (LCA) and Social Metabolism Assessment using the Multi-Scale Integrated Assessment of Socio-Ecosystem Metabolism (MuSIASEM). It has been been co-designed with decision makers and energy modellers within the SENTINEL project (see acknowledgements).

The related python package enbios takes data on energy system design and impact assessment methods to return a characterization matrix filled with bioeconomic and environmental indicators.

More information on the roots of the framework can be found in Deliverable 2.2

Data inputs

• Data on electricity production and power capacity structured by the friendly_data package.
• LCA inventories in .spold format
• Impact assessment methods in excel or csv format

Outputs

For each energy function and technology:

• Environmental impact indicators from the most used LCIA methods (Recipe2016, CML, AWARE, etc.)
• Metabolism indicators in rates of energy or materials per hour of human activity, power capacity and land use
• Environmental externalization rates
• Raw Material Recycling rates and Supply risk

Features

• Integration of LCA and MuSIASEM evaluation methods
• Import of .spold LCA inventory data to a multi-level tree-like setting
• Library of impact assessment methods based on LCIA
• New impact assessment methods developed for raw materials and circularity
• Consideration of externalized environmental impacts
• Takes data from the friendly-data package (other formats under development)
• High level methods to quickly obtain/refresh analyses

Installing "enbios"

The python package 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

Documentation

• The quick start guide can be found here
• The user manual can be found here

People

• Cristina Madrid-Lopez. - ICTA-UAB
• Nicholas Martin. - ICTA-UAB
• Rafael Nebot. - ITC-DCCT
• Laura Talens-Peiro. -ICTA-UAB

Contact

• For questions about the enbios framework, please contact [e-mail].
• For technical questions about the python package, please contact [e-mail].

License

Acknowledgements

The development of ENBIOS is part of the work carried out by the SosteniPra Research group, at the Institute of Environmental Science and Technology of the Universitat Autonoma de Barcelona (ICTA-UAB) within work package 2 of the Horizon 2020 project Sustainable Energy Transitions Laboratory (SENTINEL, GA 837089).

The python package enbios is built in collaboration with the Technical Institute of the Canary Islands (ITC) and based on the Nexus Information System developed within the Horizon 2020 project MAGIC-nexus and the LCA-MuSIASEM integration protocol developed in the Marie Curie project IANEX.

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 - Energy Modelling -