Metadata-Version: 2.1
Name: enbios
Version: 0.44
Summary: Indicators of environmental sustainability of energy systems using MuSIASEM and LCA methodologies
Home-page: https://github.com/ENVIRO-Module/enviro
Author: ['Rafael Nebot', 'Cristina Madrid']
Author-email: rnebot@itccanarias.org
License: MIT
Description: # ENBIOS 
        Environmental and bioeconomic system assessment for energy system optimization model (ESOM) scenarios.
        <Intro>
        
        
        [![License](https://img.shields.io/badge/License-BSD%203--Clause-blue.svg)](LICENSE)
        
        <!-- Insert a representative Screenshot or an animated GIF (use "Recordit"?) -->
        
        ## 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`](https://pypi.org/project/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`](https://pypi.org/project/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](https://portalrecerca.uab.cat/en/persons/cristina-madrid-lopez-3). - [ICTA-UAB](https://www.uab.cat/icta/) 
        * [Nicholas Martin](https://portalrecerca.uab.cat/en/persons/nicholas-martin-4). - [ICTA-UAB](https://www.uab.cat/icta/)
        * [Rafael Nebot](https://www.linkedin.com/in/rafael-j-nebot-medina-31551a12/). - [ITC-DCCT](https://www.itccanarias.org/web/en/)
        * [Laura Talens-Peiro](https://portalrecerca.uab.cat/en/persons/laura-talens-peir%C3%B3-6).  -[ICTA-UAB](https://www.uab.cat/icta/) 
        
        ## Contact
        
        - For questions about the enbios framework, please contact [cristina.madrid@uab.cat](mailto:cristina.madrid@uab.cat).
        - For technical questions about the python package, please contact [rnebot@itccanarias.org](mailto:rnebot@itccanarias.org).
        
        ## License
        <!-- This project is licensed under the BSD-3 License - see the [LICENSE](LICENSE) file for details-->
        <!-- Rafa, can we take a decision about the license??-->
        ## Acknowledgements
        The development of ENBIOS is part of the work carried out by the [SosteniPra](https://www.sostenipra.cat/) Research group, at the Institute of Environmental Science and Technology of the Universitat Autonoma de Barcelona ([ICTA-UAB](https://www.uab.cat/icta/)) within work package 2 of the Horizon 2020 project Sustainable Energy Transitions Laboratory ([SENTINEL](https://sentinel.energy>), GA 837089).
        
        The python package `enbios` is built in collaboration with the Technical Institute of the Canary Islands ([ITC](https://www.itccanarias.org/web/es/)) and based on the Nexus Information System developed within the Horizon 2020 project [MAGIC-nexus](https://magic-nexus.eu/) and the LCA-MuSIASEM integration protocol developed in the Marie Curie project [IANEX](https://cordis.europa.eu/project/id/623593).
        
        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 - 
        
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