SpineOpt.jl is an integrated energy systems optimization model part of the Spine Tools organization, striving towards adaptability for a multitude of modelling purposes. The data-driven model structure allows for highly customizable energy system descriptions, as well as flexible temporal and stochastic structures, without the need to alter the model source code directly. The methodology is based on mixed-integer linear programming (MILP).
More details are available at https://github.com/spine-tools
Documentation is available at: https://spine-tools.github.io/SpineOpt.jl/stable/
The GitHub repository is https://github.com/spine-tools/SpineOpt.jl
SpineOpt license can be found at https://github.com/spine-tools/SpineOpt.jl/blob/master/LICENSE.
install_spinedb_api.jlis used to install python dependenciesmain.jlis responsible for running the cases fromcasesfolder.- Case studies were shared by SpineOpt users and represent different energy model applications that can modeled as MIP problems.
SpineOpt requires not only Julia but also Python. So make sure you have a Python3 installation.
- start a Julia session
- run
install_spinedb_api.jlto install the python dependencies - finish the Julia session
Now you will be able to use main.jl in new Julia sessions.
Python version used 3.12
You might also need a PostgresSQL install to use pg_config,
which is necessary to compile psycopg2,
which is necessary to use spinedb_api.
- Linux:
apt install libpq-dev - Mac:
brew install postgresqlorsudo port install postgresql - Windows: use the installer https://www.postgresql.org/download/windows/
SpineOpt instances are non-deterministic. Every different run of the main.jl
script leads to a new mps files. From a first pass on the files its seem that
the only change is the order of the constraints. However, this apparently simple
change can lead to different solve times and very different solutions.