ficus: A (mixed integer) linear optimisation model for local energy systems¶
|Maintainer:||Dennis Atabay, <firstname.lastname@example.org>|
|Organization:||Institute for Energy Economy and Application Technology, Technische Universität München|
|Date:||September 10, 2015|
|Copyright:||This documentation is licensed under a Creative Commons Attribution 4.0 International license.|
- ficus is a (mixed integer) linear programming model for multi-commodity energy systems.
- It finds the minimum cost energy system to satisfy given demand timeseries for possibly multiple commodities (e.g. electricity, heat)
- It considers given cost timeseries for external obtained commodities as well as peak demand charges with configurable timebase for each commodity
- It allows to deactivate specific equations, so the model becomes a linear programming model without integer variables
- It supports multiple-input and multiple-output energy conversion technologies with load dependent efficiencies
- Thanks to pandas, complex data analysis code is short and extensible.
- The model itself is quite small thanks to relying on the Pyomo packages.
- ficus includes reporting and plotting functions
This is a typical result plot created by
ficus.plot_timeseries(), showing electricity
generation, consumption and storage levels over 7 days: