Medea

medea

Authors:
Sebastian Wehrle, Johannes Schmidt

Contact:
Sebastian Wehrle

Based on GAMS. Using Python for data processing.

Open Source
MIT license (MIT)

Directly downloadable

Input data shipped

Model Scope

Model type and solution approach

Model class	Austrian and German electricity market
Sectors	Electricity, Heat
Technologies	Renewables, Conventional Generation, CHP
Decisions	dispatch, investment
Regions	Austria, Germany
Geographic Resolution	Countries
Time resolution	Hour
Network coverage	net transfer capacities

Model type	Optimization

Variables
Computation time	15 minutes
Objective	Total system cost
Uncertainty modeling	Deterministic
Suited for many scenarios / monte-carlo	Yes

Author institution	University of Natural Resources and Life Sciences, Vienna +
Authors	Sebastian Wehrle, Johannes Schmidt +
Citation references	https://arxiv.org/abs/2006.08009
Computation time minutes	15 +
Contact email	sebastian.wehrle@boku.ac.at +
Contact persons	Sebastian Wehrle +
Data availability	all +
Decisions	dispatch + and investment +
Deterministic	Deterministic +
Full Model Name	medea +
Georegions	Austria, Germany +
Georesolution	Countries +
Is suited for many scenarios	true +
License	MIT license (MIT) +
Math modeltype	Optimization +
Math objective	Total system cost +
Model class	Austrian and German electricity market +
Model source public	true +
Modelling software	GAMS +
Network coverage	net transfer capacities +
Open future	false +
Open source licensed	true +
Processing software	Python +
Sectors	Electricity + and Heat +
Source download	https://github.com/inwe-boku/medea +
Technologies	Renewables +, Conventional Generation + and CHP +
Timeresolution	Hour +
Website	https://github.com/inwe-boku/medea +