Overview: Open Energy Modelling Framework (oemof)¶
The Open Energy Modelling Framework (oemof) is a Python toolbox for energy system modelling and optimisation.
The oemof project aims to be a loose organisational frame for tools in the wide field of (energy) system modelling. Every project is managed by their own developer team but we share some developer and design rules to make it easier to understand each other’s tools. All project libraries are free software licenced under the MIT license.
All projects are in different stages of implementation, some even may not have a stable release, but all projects are open to be joined by interested people. We do not belong to a specific institution and everybody is free to join the developer teams and will have the same rights. There is no higher decision level.
This repository is also used to organise everything for the oemof community.
- Webconference dates
- Real life meetings
- Website and Mailinglist
- General communication
You can find recent topics of discussion in the issues.
A model generator for energy system modelling and optimisation (LP/MILP).
Cycle Detection in Time Series (CyDeTS). An algorithm to detect cycles in times series along with their respective depth-of-cycle (DoC) and duration.
Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.
The windpowerlib is a library that provides a set of functions and classes to calculate the power output of wind turbines. It was originally part of the feedinlib (windpower and photovoltaic) but was taken out to build up a community concentrating on wind power models.
To install the oemof.solph package (previously just oemof), please use
pip install https://github.com/oemof/oemof-solph/archive/master.zip"