Metadata-Version: 2.1
Name: digripy
Version: 0.1
Summary: District Heating Grid Simulation in Python
Home-page: https://github.com/lvorspel/DiGriPy
Author: Lena Vorspel and Jens Bücker
Author-email: lena.vorspel@ifam.fraunhofer.de
License: UNKNOWN
Project-URL: Bug Tracker, https://github.com/lvorspel/DiGriPy/issues
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.6<3.9
Description-Content-Type: text/markdown
Requires-Dist: TESPy (>=0.4.2.post2)
Requires-Dist: openpyxl
Requires-Dist: numpy
Requires-Dist: bokeh
Requires-Dist: pandas
Requires-Dist: jsonref
Requires-Dist: matplotlib

# DiGriPy
District Heating Grid Simulation in Python

## Installation
For installation, you can clone this repository and use pip for solving dependencies and installation.
Please use Python3 <3.9, as CoolProp fails to install on Python 3.9.
```
python -m pip install git+https://github.com/lvorspel/DiGriPy.git
```

You can alternatively manually clone this repo and then
```
python setup.py install
```
in the cloned directory.

## Running
For Running DiGriPy you can simply download the `tests` folder provided in the [git repository](https://github.com/lvorspel/DiGriPy) and run 
```
python -m digripy.run -i tests/example80C -l 20
```

in a command line. This will run the first 20 time steps of the medium temperature scenario and display the results in a browser. 

## Output
Results will not only be displayed in the browser, but also will be saved in your home directory in a folder called `digripy_results`. There you can also find spreadsheets with several results.


