https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Friedrich+Kunzwiki.openmod-initiative.org - User contributions [en]2026-05-28T02:04:02ZUser contributionsMediaWiki 1.19.7https://wiki.openmod-initiative.org/wiki/StELMODStELMOD2016-11-09T13:37:28Z<p>Friedrich Kunz: Created page with "{{Model |Full_Model_Name=Stochastic Multi-Market Electricity Model |Acronym=stELMOD |author_institution=DIW Berlin |authors=Friedrich Kunz, Jan Abrell |contact_persons=Friedri..."</p>
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<div>{{Model<br />
|Full_Model_Name=Stochastic Multi-Market Electricity Model<br />
|Acronym=stELMOD<br />
|author_institution=DIW Berlin<br />
|authors=Friedrich Kunz, Jan Abrell<br />
|contact_persons=Friedrich Kunz<br />
|contact_email=fkunz@diw.de<br />
|website=http://www.diw.de/elmod<br />
|source_download=https://github.com/frkunz/stELMOD<br />
|text_description=stELMOD is a stochastic optimization model to analyze the impact of uncertain renewable generation on the dayahead and intraday electricity markets as well as network congestion management. The consecutive clearing of the electricity markets is incorporated by a rolling planning procedure resembling the market process of most European markets.<br />
|open_source_licensed=Yes<br />
|license=MIT license (MIT)<br />
|model_source_public=Yes<br />
|Link to source=https://github.com/frkunz/stELMOD<br />
|open_future=No<br />
|modelling_software=GAMS<br />
|processing_software=MS Excel<br />
|GUI=No<br />
|model_class=Optimization<br />
|sectors=Electricity<br />
|technologies=Renewables, Conventional Generation, CHP<br />
|Energy carriers (Renewable)=Hydro, Sun, Wind<br />
|Storage (Electricity)=PHS<br />
|Storage (Gas)=No<br />
|Storage (Heat)=No<br />
|decisions=dispatch<br />
|georegions=Europe (particular focus on Germany)<br />
|georesolution=Nodal resolution<br />
|timeresolution=Hour<br />
|network_coverage=transmission, DC load flow, net transfer capacities<br />
|math_modeltype=Optimization<br />
|math_modeltype_shortdesc=Mixed integer linear optimization for separate electricity markets (dayahead, intraday, congestion management) linked by a rolling planning procedure<br />
|math_objective=Minimization of total generation cost<br />
|deterministic=deterministic, stochastic<br />
|is_suited_for_many_scenarios=No<br />
|montecarlo=No<br />
|citation_references=Abrell, Jan and Kunz, Friedrich (2015): Integrating Intermittent Renewable Wind Generation - A Stochastic Multi-Market Electricity Model for the European Electricity Market, Networks and Spatial Economics 15(1), pp. 117-147<br />
|citation_doi=10.1007/s11067-014-9272-4<br />
|report_references=Kunz, Friedrich, Zerrahn, Alexander (2016): Coordinating Cross-Country Congestion Management. DIW Discussion Paper 1551<br />
|example_research_questions=Impact of uncertain renewable generation on markets and generation commitment and dispatch; Analysis of congestion management issues and market design options<br />
|Model input file format=No<br />
|Model file format=No<br />
|Model output file format=No<br />
}}</div>Friedrich Kunz