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enbios-0.9
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Indicators of environmental sustainability of energy systems using MuSIASEM and LCA methodologies
| ویژگی | مقدار |
|---|---|
| سیستم عامل | - |
| نام فایل | enbios-0.9 |
| نام | enbios |
| نسخه کتابخانه | 0.9 |
| نگهدارنده | [] |
| ایمیل نگهدارنده | [] |
| نویسنده | ['Rafael Nebot', 'Cristina Madrid'] |
| ایمیل نویسنده | rnebot@itccanarias.org |
| آدرس صفحه اصلی | https://github.com/ENVIRO-Module/enviro |
| آدرس اینترنتی | https://pypi.org/project/enbios/ |
| مجوز | MIT |
# ENBIOS
Environmental and bioeconomic system assessment for energy system optimization model (ESOM) scenarios.
<Intro>
[](LICENSE)
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## 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/)
* [Miquel Sierra Montoya](https://www.linkedin.com/in/miquel-sierra-montoya-0b8a28bb/). -[ICTA-UAB](https://www.uab.cat/icta/)
* [Alexander de Tomás](https://www.linkedin.com/in/alexander-de-tom%C3%A1s-pascual-a85348185/). -[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-->
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## 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 -
نیازمندی
| مقدار | نام |
|---|---|
| >=0.92 | nexinfosys |
| ==2.3 | brightway2 |
| >=0.2.1 | friendly-data |
| ==6.0 | pyyaml |
| >=1.20.2 | numpy |
| ==1.2.5 | pandas |
| >=3.0.7 | openpyxl |
| >=2.5.1 | networkx |
| >=0.4.0 | fire |
| >=1.21.0 | dash |
| >=0.0.2 | dash-pivottable |
| - | namedatomiclock |
| ==7.1.2 | click |
نحوه نصب
نصب پکیج whl enbios-0.9:
pip install enbios-0.9.whl
نصب پکیج tar.gz enbios-0.9:
pip install enbios-0.9.tar.gz