https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Samuel 2026-05-11T18:17:01Z User contributions MediaWiki 1.19.7 https://wiki.openmod-initiative.org/wiki/ASAM 2021-05-15T14:18:34Z

<p>Samuel: </p> <hr /> <div>{{Model<br /> |Full_Model_Name=Ancillary Services Acquisition Model<br /> |Acronym=ASAM<br /> |author_institution=Europa-Universität Flensburg<br /> |authors=Samuel Glismann<br /> |contact_persons=Samuel Glismann<br /> |website=https://ancillaryservicesacquisitionmodel.github.io/ASAM/<br /> |source_download=https://github.com/AncillaryServicesAcquisitionModel/ASAM<br /> |text_description=Agent-based model to simulate processes of ancillary services acquisition and electricity markets. ASAM uses the agent-based model framework Mesa and the toolbox for power system analyses PyPSA.<br /> |Primary outputs=Policy performance indicators<br /> |open_source_licensed=Yes<br /> |license=GNU General Public License version 3.0 (GPL-3.0)<br /> |model_source_public=Yes<br /> |Link to source=https://github.com/AncillaryServicesAcquisitionModel/ASAM<br /> |data_availability=some<br /> |open_future=No<br /> |modelling_software=Python (Pyomo)<br /> |processing_software=Python, PyPSA, Mesa<br /> |External optimizer=Solvers supported by Pyomo<br /> |GUI=No<br /> |model_class=Agent-based Simulation, Market Model, Electricity System Model, German and European Electricity Market,<br /> |sectors=Electricity, Electricity Market, Electric power,<br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Storage (Gas)=No<br /> |Storage (Heat)=No<br /> |User behaviour=Bounded rationality<br /> |decisions=dispatch<br /> |georegions=Europe<br /> |georesolution=Individual power stations<br /> |timeresolution=15 Minute<br /> |Observation period=Less than one month<br /> |math_modeltype=Simulation, Agent-based<br /> |is_suited_for_many_scenarios=Yes<br /> |montecarlo=No<br /> |citation_references=Glismann (2021), “ Ancillary Services Acquisition Model: considering market interactions in policy design”, preprint Applied Energy Journal. https://arxiv.org/abs/2104.13047<br /> |example_research_questions=Redispatch design in the Netherlands<br /> |Specific properties=Clearing algorithms<br /> |Integrated models=PyPSA<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Samuel https://wiki.openmod-initiative.org/wiki/ASAM 2021-05-15T14:15:07Z

<p>Samuel: Created page with &quot;{{Model |Full_Model_Name=Ancillary Services Acquisition Model |Acronym=ASAM |author_institution=Europa-Universität Flensburg |authors=Samuel Glismann |contact_persons=Samuel...&quot;</p> <hr /> <div>{{Model<br /> |Full_Model_Name=Ancillary Services Acquisition Model<br /> |Acronym=ASAM<br /> |author_institution=Europa-Universität Flensburg <br /> |authors=Samuel Glismann<br /> |contact_persons=Samuel Glismann<br /> |website=https://ancillaryservicesacquisitionmodel.github.io/ASAM/<br /> |source_download=https://github.com/AncillaryServicesAcquisitionModel/ASAM<br /> |text_description=Agent-based model to simulate processes of ancillary services acquisition and electricity markets. ASAM uses the agent-based model framework Mesa and the toolbox for power system analyses PyPSA.<br /> |Primary outputs=Policy performance indicators<br /> |open_source_licensed=Yes<br /> |license=GNU General Public License version 3.0 (GPL-3.0)<br /> |model_source_public=Yes<br /> |Link to source=https://github.com/AncillaryServicesAcquisitionModel/ASAM<br /> |data_availability=some<br /> |open_future=No<br /> |modelling_software=Python (Pyomo)<br /> |processing_software=Python, PyPSA, Mesa<br /> |External optimizer=Solvers supported by Pyomo<br /> |GUI=No<br /> |model_class=Agent-based Simulation, Market Model, Electricity System Model, German and European Electricity Market, <br /> |sectors=Electricity, Electricity Market, Electric power, <br /> |Transfer (Electricity)=Distribution, Transmission<br /> |Storage (Gas)=No<br /> |Storage (Heat)=No<br /> |User behaviour=Bounded rationality<br /> |decisions=dispatch<br /> |georegions=Europe<br /> |georesolution=Individual power stations<br /> |timeresolution=15 Minute<br /> |Observation period=Less than one month<br /> |math_modeltype=Simulation, Agent-based<br /> |is_suited_for_many_scenarios=No<br /> |montecarlo=No<br /> |citation_references=Glismann (2021), “ Ancillary Services Acquisition Model: considering market interactions in policy design”, preprint Applied Energy Journal. https://arxiv.org/abs/2104.13047<br /> |example_research_questions=Redispatch design in the Netherlands <br /> |Specific properties=Clearing algorithms<br /> |Integrated models=PyPSA<br /> |Model input file format=No<br /> |Model file format=No<br /> |Model output file format=No<br /> }}</div>

Samuel