omegalpes 0.0.4

OMEGAlpes is a linear energy systems modelling library

OMEGAlpes Lib for linear energy systems modelling

OMEGAlpes stands for Generation of Optimization Models As Linear Programming for Energy Systems.

OMEGAlpes aims to be an energy systems modelling tool for linear optimisation (LP, MILP).

We are happy that you will use or develop the OMEGAlpes library.

It is an Open Source project located on GitLab at https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes

Project Presentation

OMEGAlpes library : Please have a look to OMEGAlpes presentation : https://omegalpes.readthedocs.io/en/latest/
The library is available at: https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes.git

Examples and article case studies : Please have a look to examples : https://omegalpes-examples.readthedocs.io/en/latest/
The OMEGAlpes Examples folder is available at: https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes-examples.git

OMEGAlpes' Community

Please subscribe to our mailing lists :

• for our newsletters: https://groupes.renater.fr/sympa/subscribe/omegalpes-news
• as an OMEGAlpes' developer: https://groupes.renater.fr/sympa/subscribe/omegalpes-users

Please use the git issues system to report an error: https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes.git
Otherwise you can also contact de developer team using the following email adress: [e-mail]

Installation Help

You can install the library as a user or as a developer. Please follow the corresponding installation steps below.

You can use any development environment If you use Pycharm, some indications below will help you for the installation https://www.jetbrains.com/pycharm/

Prerequisite

Please install Python 3.6 https://www.python.org/downloads/

Installation as a user

Please install OMEGAlpes Lib with pip using the command prompt.

If you are admin on Windows or working on a virtual environment

pip install omegalpes

If you want a local installation or you are not admin

pip install --user omegalpes

If you are admin on Linux:

sudo pip install omegalpes

Then, you can download (or clone) the OMEGAlpes Examples folder (repository) at : https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes-examples

Launch the examples (with Pycharm for instance) to understand how the OMEGAlpes Lib works. Remember that the examples are detailed at : https://omegalpes-examples.readthedocs.io/en/latest/

Enjoy your time using OMEGAlpes !

Installation as a developer and local branch creation

1. Create a new folder in the suitable path, name it as you wish for example : OMEGAlpes

2. Clone the OMEGAlpes library repository

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   Command lover:

       git clone https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes.git
   

   ---

   Pycharm lover:

   Open Pycharm
   On the Pycharm window, click on "Check out from version control" then choose "Git".
   A "clone repository" window open.
   Copy the following link into the URL corresponding area:

    https://gricad-gitlab.univ-grenoble-alpes.fr/omegalpes/omegalpes.git
   

   Copy the path of the new folder created just before.
   Test if the connection to the git works and if it works click on "Clone".
   Once OMEGAlpes is cloned, you must be able to see the full OMEGAlpes library on Pycharm or on another development environment.

   ---

   If the connection does not work and if you are working with local protected network, please try again with the wifi.

3. First, choose or change your project interpreter

   ---

   Pycharm lover:

   Click on the yellow warning link or go to "File", "settings...", "Project Interpreter"

   You can:

   • either select the "Python 3.6" project interpreter but you may change the version of some library that you could use for another application
   • either create a virtual environment in order to avoid this problem (recommended).
     Click on the star wheel near the project interpreter box. Click on "add...".
     Select "New environment" if it not selected.
     The location is pre-filled, if not fill it with the path of the folder as folder_path/venv
     Select "Python 3.6" as your base interpreter
     Then click on "Ok"

   ---

4. You can install the library on developing mode using the following command in command prompt once your are located it on the former folder.

   python setup.py develop

5. If it is not already done, install the library requirements.

   ---

   Command lover:

        pip install <library_name>
   

   If required, the command to upgrade the library is :

        pip install --upgrade <library_name>
   

   ---

   Pycharm lover:

   You should still have a yellow warning.
   You can:

   • install automatically the libraries clicking on the yellow bar
   • install automatically the library using pip with Pycharm on "File", "settings...", "Project Interpreter", "+", and choosing the required library as indicated in the Library Installation Requirements part

6. Finally, you can create your own local development branch.

   ---

   Command lover:

    git branch <branch_name>
   

   ---

   Pycharm lover:

   By default you are on a local branch named master.
   Click on "Git: master" located on the bottom write of Pycharm
   Select "+ New Branch"
   Name the branch as you convenience for instance "dev_your_name"

7. Do not forget to "rebase" regularly to update your version of the library.

   ---

   Command lover:

    git rebase origin
   

   ---

   Pycharm lover:

   To do so, click on your branch name on the bottom write of the Pycharm window select "Origin/master" and click on "Rebase current onto selected"

If you want to have access to other examples and study cases, please have a look to the user's installation.

Enjoy your time developing OMEGAlpes!

Library Installation Requirements

PuLP = 1.6.8

Matplotlib >2.2.2, <3.1

Numpy > 1.14.2, <1.16

Pandas > 0.22.0, <0.24

Main Authors:

B. DELINCHANT, S. HODENCQ, Y. MARECHAL, L. MORRIET, C. PAJOT, V. REINBOLD, F. WURTZ

Partners:

Univ. Grenoble Alpes, CNRS, Grenoble INP, G2Elab, CEA, Université Paris-Sud

Acknowledgments:

This work has been partially supported by the CDP Eco-SESA receiving fund from the French National Research Agency in the framework of the "Investissements d’avenir" program (ANR-15-IDEX-02)

Licence

This code is under the Apache License, Version 2.0

Notes

This library has been tested using

• PyCharm 2018.2.4
• Python 3.6.0
• pip 18.1
• setuptools 39.1.0