dieter_py
An open source power sector optimization model that has been developed to investigate the role of electricity storage and sector coupling options in future scenarios with high shares of renewable energy sources.
https://gitlab.com/diw-evu/dieter_public/dieterpy
Category: Energy Systems
Sub Category: Renewable Energy Integration
Keywords
GAMS open source model power market model python renewable energy storage
Keywords from Contributors
energy-storage flexibility-options gams open-source-modeling power-sector-modeling renewable-energy-integration sector-coupling data visualization plotly policy
Last synced: about 11 hours ago
JSON representation
Repository metadata
Repository for the Python-GAMS version of the power market model DIETER
- Host: gitlab.com
- URL: https://gitlab.com/diw-evu/dieter_public/dieterpy
- Owner: diw-evu
- License: mit
- Created: 2020-08-21T09:37:53.104Z (over 5 years ago)
- Default Branch: main
- Last Synced: 2025-12-20T18:30:23.228Z (6 days ago)
- Topics: GAMS, open source model, power market model, python, renewable energy, storage
- Stars: 4
- Forks: 0
- Open Issues: 0
- Releases: 0
-
Metadata Files:
- Readme: README.rst
- License: LICENSE
README.rst
#############################################
DIETERpy: A GAMS-Python framework for DIETER
#############################################
.. image:: https://img.shields.io/pypi/v/dieterpy.svg
:target: https://pypi.org/project/dieterpy/
:alt: DIETERpy Status Badge
.. image:: https://img.shields.io/pypi/pyversions/dieterpy.svg
:target: https://pypi.org/project/dieterpy/
:alt: DIETERpy Python Versions
.. image:: https://img.shields.io/pypi/l/dieterpy.svg
:target: https://pypi.org/project/dieterpy/
:alt: DIETERpy license
DIETERpy is electricity market model developed by the research group `Transformation of the Energy Economy `_ at `DIW Berlin `__ (German Institute of Economic Research).
The open-source power sector optimization model `"Dispatch and Investment Evaluation Tool with Endogenous Renewables" (DIETER) `__ has been developed to investigate the role of electricity storage and sector coupling options in future scenarios with high shares of renewable energy sources.
DIETERpy is a Python-based tool that enables an easy pre- and post-processing of the model data, sophisticated scenario analysis, and visualization of results. The optimization routine of DIETERpy is based on the General Algebraic Modeling System (GAMS) of DIETER, which is now maintained separately as a GAMS-only version called DIETERgms_.
.. _DIETERgms: https://gitlab.com/diw-evu/dieter_public/dietergms
..
.. raw:: html
***************
Installation
***************
DIETERpy is distributed on PyPI_ and can installed with ``pip``:
.. code-block:: console
$ pip install dieterpy
Read the documentation to learn how to properly install_ DIETERpy.
.. _PyPI: https://pypi.org/project/dieterpy
.. _install: https://diw-evu.gitlab.io/dieter_public/dieterpy/gettingstarted/installation.html
*************************************
Configuration and running the model
*************************************
Please consult our full documentation_ on how to configure and run DIETERpy.
.. _documentation: https://diw-evu.gitlab.io/dieter_public/dieterpy/
***************
Links
***************
* Documentation: https://diw-evu.gitlab.io/dieter_public/dieterpy
* Source code: https://gitlab.com/diw-evu/dieter_public/dieterpy
* Issues: https://gitlab.com/diw-evu/dieter_public/dieterpy/issues
* PyPI releases: https://pypi.org/project/dieterpy
* License: http://opensource.org/licenses/MIT
***************
Authors
***************
The developers are `Carlos Gaete-Morales (lead) `_, Alexander Roth and Martin Kittel, and Wolf-Peter Schill, in collaboration with Alexander Zerrahn.
***************
Applications
***************
DIETER has been used for numerous publications, both by DIW and external researchers. Please have a look at our *Applications* section of our documentation for a full list of DIW_ as well as external_ papers and projects. There, we provide detailed descriptions and the DIETER version used in the respective projects.
.. _DIW: https://diw-evu.gitlab.io/dieter_public/dieterpy/applications/diw.html
.. _external: https://diw-evu.gitlab.io/dieter_public/dieterpy/applications/external.html
***************
License
***************
DIETERpy is an open source tool which code may be freely used and modified by anyone. The code is licensed under the MIT License and available https://gitlab.com/diw-evu/dieter_public/dieterpy.
DIETER is an open source model which may be freely used and modified by anyone. The code is licensed under the MIT License. Input data is licensed under the Creative Commons Attribution-ShareAlike 4.0 International Public License and available under http://www.diw.de/dieter.
Owner metadata
- Name: DIW EVU
- Login: diw-evu
- Email:
- Kind: organization
- Description:
- Website:
- Location:
- Twitter:
- Company:
- Icon url: https://gitlab.com/uploads/-/system/group/avatar/6612146/diw.jpg
- Repositories: 16
- Last ynced at: 2023-03-03T10:51:53.011Z
- Profile URL: https://gitlab.com/diw-evu
Committers metadata
Last synced: 2 days ago
Total Commits: 289
Total Committers: 6
Avg Commits per committer: 48.167
Development Distribution Score (DDS): 0.564
Commits in past year: 0
Committers in past year: 0
Avg Commits per committer in past year: 0.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Alexander Roth | a****h@d****e | 126 |
| Carlos Gaete | c****e@g****m | 110 |
| Wolf-Peter Schill | w****l@d****e | 31 |
| Fabian Stöckl | f****l@d****e | 12 |
| Martin Kittel | m****l@d****e | 7 |
| Carlos Gaete | c****e@g****m | 3 |
Committer domains:
- diw.de: 4
Issue and Pull Request metadata
Last synced: 4 days ago
Dependencies
- GAMS ==1.0
- PyYAML ==5.3.1
- appdirs ==1.4.4
- certifi ==2020.12.5
- cfgmcc ==1
- dctmcc ==1
- dieterpy ==0.2.1
- docopt ==0.6.2
- et-xmlfile ==1.0.1
- exceltogdx ==0.0.3
- future ==0.18.2
- gamsxcc ==1
- gdxcc ==7
- gdxpds ==1.2.0
- gevmcc ==6
- gmdcc ==2
- gmomcc ==15
- jdcal ==1.4.1
- numpy ==1.19.5
- openpyxl ==3.0.6
- optcc ==2
- pandas ==1.0.0
- psutil ==5.8.0
- python-dateutil ==2.6.1
- pytz ==2021.1
- six ==1.15.0
- xlrd ==1.2.0
- vaex *
- matplotlib ==3.1.3
- plotly ==4.14.3
- streamlit ==0.77.0
- exceltogdx >=0.0.3
- mgzip *
- numpy *
- pandas ==
- psutil *
- python-dateutil ==2.6.1
- pyyaml *
- six >=1.11.0
- xlrd *
Score: 3.1780538303479453