Packages¶
Under the umbrella of oemof, several libraries for energy system modelling are collected. Each specialised for a certain task. The most recognised library oemof-solph is used to model energy system with LP/MILP. It can be fed with demand data from the demandlib and feedin timeseries from the feedinlib. TESPy provides in-depth modelling of thermal energy systems. oemof-thermal extends oemof-solph components with LP/MILP modelled thermal components. CyDeTS can be used to detect storage cycles. The libraries share common principles, similar APIs, and are at least partially interoperable.
Projects with stable releases¶
| Package | Description | Links |
|---|---|---|
| oemof-solph | A model generator for energy system modelling and optimisation (LP/MILP) |   |
| oemof-thermal | Tools to model thermal energy components (compression heat pumps, concentrating solar plants, thermal storages and solar thermal collectors) as an extension of oemof-solph | |
| CyDeTS | Cycle Detection in Time Series (CyDeTS). An algorithm to detect cycles in times series along with their respective depth-of-cycle (DoC) and duration | |
| demandlib | Generate load profiles for elctricity and heat demand | |
| feedinlib | Calculate feedin timeseries for fluctuating renewable energy source from Open Data weather data | |
| TESPy | Thermal Engineering Systems in Python (TESPy). Powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps | |
| windpowerlib | Calculate the power output of wind turbines | |