Oemof

Open Energy Modelling Framework

by Reiner Lemoine Institut / Zentrum für nachhaltige Energiesysteme

Authors:
Guido Plessmann, Uwe Krien, Caroline Möller, Simon Hilpert, Cord Kaldemeyer, Clemens Wingenbach, Wolf-Dieter Bunke, Stephan Günther et al.

Contact:
Guido Plessmann, Uwe Krien, Caroline Möller, Simon Hilpert, Cord Kaldemeyer, Clemens Wingenbach, Wolf-Dieter Bunke, Stephan Günther

Oemof is a framework for energy system model development and its application in energy system analysis. Currently, it bases on collaborative work of three institutions. You can clone/fork the code at github.

Containing a linear optimisation problem formulation library, feedin-data generation library and other auxiliary libraries it is meant to be developed further according to interests of user/ developer community.

Based on Python, Pyomo, Coin-OR. Using Python, PostgreSQL, PostGIS for data processing.

Website / Documentation
Download

Open Source
GNU General Public License version 3.0 (GPL-3.0)

Directly downloadable

Some input data shipped

Model Scope

Model type and solution approach

Model class	Energy Modelling Framework
Sectors	Electricity, Heat
Technologies	Renewables, Conventional Generation, CHP
Decisions	dispatch, investment
Regions	Europe, Germany, administrative districts (depends on user)
Geographic Resolution	depends on user input
Time resolution	Hour
Network coverage	transmission, distribution, DC load flow, net transfer capacities

Model type	Optimization, Simulation

Variables
Computation time	minutes (depends strongly on use of modeling framework. typically if investment decisions are enabled, a model run takes a multiple of time to compute)
Objective	costs, emissions
Uncertainty modeling	Not covered (yet)
Suited for many scenarios / monte-carlo	No

References

Scientific references

◀ back to model list

Author institution	Reiner Lemoine Institut / Zentrum für nachhaltige Energiesysteme +
Authors	Guido Plessmann, Uwe Krien, Caroline Möller, Simon Hilpert, Cord Kaldemeyer, Clemens Wingenbach, Wolf-Dieter Bunke, Stephan Günther et al. +
Computation time comments	depends strongly on use of modeling framework. typically if investment decisions are enabled, a model run takes a multiple of time to compute
Contact email
Contact persons	Guido Plessmann, Uwe Krien, Caroline Möller, Simon Hilpert, Cord Kaldemeyer, Clemens Wingenbach, Wolf-Dieter Bunke, Stephan Günther +
Data availability	some +
Decisions	dispatch + and investment +
Deterministic	Not covered (yet) +
Full Model Name	Open Energy Modelling Framework +
Georegions	Europe, Germany, administrative districts (depends on user) +
Georesolution	depends on user input +
Is suited for many scenarios	false +
License	GNU General Public License version 3.0 (GPL-3.0) +
Math modeltype	Optimization + and Simulation +
Math objective	costs, emissions +
Model class	Energy Modelling Framework +
Model source public	true +
Modelling software	Python, Pyomo, Coin-OR +
Network coverage	transmission +, distribution +, DC load flow + and net transfer capacities +
Open future	true +
Open source licensed	true +
Processing software	Python, PostgreSQL, PostGIS +
Sectors	Electricity + and Heat +
Source download	https://github.com/oemof/oemof/releases +
Technologies	Renewables +, Conventional Generation + and CHP +
Text description	Oemof is a framework for energy system mod … Oemof is a framework for energy system model development and its application in energy system analysis. Currently, it bases on collaborative work of three institutions. You can clone/fork the code at github. Containing a linear optimisation problem formulation library, feedin-data generation library and other auxiliary libraries it is meant to be developed further according to interests of user/ developer community.to interests of user/ developer community.
Timeresolution	Hour +
Website	https://github.com/oemof +

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