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FlixOpt

FlixOpt is a Python-based optimization framework designed to tackle energy and material flow problems using mixed-integer linear programming (MILP).

It borrows concepts from both FINE and oemof.solph.

Why FlixOpt?

FlixOpt is designed as a general-purpose optimization framework to get your model running quickly, without sacrificing flexibility down the road:

  • Easy to Use API: FlixOpt provides a Pythonic, object-oriented interface that makes mathematical optimization more accessible to Python developers.

  • Approachable Learning Curve: Designed to be accessible from the start, with options for more detailed models down the road.

  • Domain Independence: While frameworks like oemof and FINE excel at energy system modeling with domain-specific components, FlixOpt offers a more general mathematical approach that can be applied across different fields.

  • Extensibility: Easily add custom constraints or variables to any FlixOpt Model using linopy. Tailor any FlixOpt model to your specific needs without loosing the convenience of the framework.

  • Solver Agnostic: Work with different solvers through a consistent interface.

  • Results File I/O: Built to analyze results independent of running the optimization.

FlixOpt Conceptual Usage

Conceptual Usage and IO operations of FlixOpt

Installation

pip install flixopt

For more detailed installation options, see the Getting Started guide.

License

FlixOpt is released under the MIT License. See LICENSE for details.

Citation

If you use FlixOpt in your research or project, please cite:

A more sophisticated paper is in progress