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| | {{Model | | {{Model |
| − | |Full_Model_Name=Gas Market Model for Germany | + | |Full_Model_Name=Gas Market Model |
| − | |Acronym=GAMAMOD-DE | + | |Acronym=GAMAMOD |
| | |author_institution=Technische Universität Dresden (EE2) | | |author_institution=Technische Universität Dresden (EE2) |
| − | |authors=Philipp Hauser | + | |authors=Lucas De La Fuente; Philipp Hauser |
| − | |contact_persons=Philipp Hauser | + | |contact_persons=Lucas De La Fuente |
| − | |contact_email=philipp.hauser@tu-dresden.de | + | |contact_email=lucas.delafuente@tu-dresden.de |
| − | |website=www.ee2.biz | + | |website=https://tu-dresden.de/bu/wirtschaft/bwl/ee2/forschung/modelle/gamamod |
| | |Primary outputs=gas flows | | |Primary outputs=gas flows |
| | |open_source_licensed=No | | |open_source_licensed=No |
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| | |modelling_software=GAMS; CPLEX | | |modelling_software=GAMS; CPLEX |
| | |GUI=No | | |GUI=No |
| − | |Demand sectors=Households, Industry | + | |model_class=German Transmission Grid |
| | + | |Demand sectors=Households, Industry, Commercial sector |
| | |Energy carrier (Gas)=Natural gas | | |Energy carrier (Gas)=Natural gas |
| | |Transfer (Gas)=Transmission | | |Transfer (Gas)=Transmission |
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| | |Storage (Heat)=No | | |Storage (Heat)=No |
| | |decisions=dispatch | | |decisions=dispatch |
| | + | |georegions=Germany |
| | + | |georesolution=NUTS0 - NUTS3, for DE |
| | + | |timeresolution=Day |
| | + | |network_coverage=transmission |
| | + | |math_modeltype=Optimization, Simulation |
| | |is_suited_for_many_scenarios=No | | |is_suited_for_many_scenarios=No |
| | |montecarlo=No | | |montecarlo=No |
| | |citation_references=Hauser, Philipp (2019) : A modelling approach for the German gas gridusing highly resolved spatial, temporal and sectoral data (GAMAMOD-DE), ZBW – LeibnizInformation Centre for Economics, Kiel, Hamburg | | |citation_references=Hauser, Philipp (2019) : A modelling approach for the German gas gridusing highly resolved spatial, temporal and sectoral data (GAMAMOD-DE), ZBW – LeibnizInformation Centre for Economics, Kiel, Hamburg |
| − | |citation_doi= http://hdl.handle.net/10419/197000 | + | |citation_doi=http://hdl.handle.net/10419/197000 |
| − | |report_references=A modelling approach for the German gas grid using highly resolved spatial, temporal and sectoral data (GAMAMOD-DE) | + | |report_references=Hauser, P.; Heidari, S.; Weber, C.; Möst, D.: Does Increasing Natural Gas Demand in the Power Sector Pose a Threat of Congestion to the German Gas Grid? A Model-Coupling Approach, Energies 2019, 12(11) 2159 |
| | + | https://www.mdpi.com/475018 |
| | |example_research_questions=questions about: | | |example_research_questions=questions about: |
| | - sector coupling between electricity and gas | | - sector coupling between electricity and gas |
Hauser, Philipp (2019) : A modelling approach for the German gas gridusing highly resolved spatial, temporal and sectoral data (GAMAMOD-DE), ZBW – LeibnizInformation Centre for Economics, Kiel, Hamburg
https://dx.doi.org/http://hdl.handle.net/10419/197000
Hauser, P.; Heidari, S.; Weber, C.; Möst, D.: Does Increasing Natural Gas Demand in the Power Sector Pose a Threat of Congestion to the German Gas Grid? A Model-Coupling Approach, Energies 2019, 12(11) 2159
https://www.mdpi.com/475018
questions about:
- sector coupling between electricity and gas
- security of supply in the German gas network
