Samuel at 14:18, 15 May 2021

2021-05-15T14:18:34Z

Samuel: Created page with "{{Model |Full_Model_Name=Ancillary Services Acquisition Model |Acronym=ASAM |author_institution=Europa-Universität Flensburg |authors=Samuel Glismann |contact_persons=Samuel..."

2021-05-15T14:15:07Z

Created page with "{{Model |Full_Model_Name=Ancillary Services Acquisition Model |Acronym=ASAM |author_institution=Europa-Universität Flensburg |authors=Samuel Glismann |contact_persons=Samuel..."

New page

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

@@ Line 2: / Line 2: @@
 |Full_Model_Name=Ancillary Services Acquisition Model
 |Acronym=ASAM
 |author_institution=Europa-Universität Flensburg
 |authors=Samuel Glismann
 |contact_persons=Samuel Glismann
@@ Line 19: / Line 19: @@
 |External optimizer=Solvers supported by Pyomo
 |GUI=No
 |model_class=Agent-based Simulation, Market Model, Electricity System Model, German and European Electricity Market,
 |sectors=Electricity, Electricity Market, Electric power,
 |Transfer (Electricity)=Distribution, Transmission
 |Storage (Gas)=No
@@ Line 31: / Line 31: @@
 |Observation period=Less than one month
 |math_modeltype=Simulation, Agent-based
-|is_suited_for_many_scenarios=No
+|is_suited_for_many_scenarios=Yes
 |montecarlo=No
 |citation_references=Glismann (2021), “ Ancillary Services Acquisition Model: considering market interactions in policy design”, preprint Applied Energy Journal.  https://arxiv.org/abs/2104.13047
 |example_research_questions=Redispatch design in the Netherlands
 |Specific properties=Clearing algorithms
 |Integrated models=PyPSA

ASAM - Revision history

Samuel at 14:18, 15 May 2021

Samuel: Created page with "{{Model |Full_Model_Name=Ancillary Services Acquisition Model |Acronym=ASAM |author_institution=Europa-Universität Flensburg |authors=Samuel Glismann |contact_persons=Samuel..."