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| | |authors=Lucas De La Fuente; Philipp Hauser | | |authors=Lucas De La Fuente; Philipp Hauser |
| | |contact_persons=Lucas De La Fuente | | |contact_persons=Lucas De La Fuente |
| − | |contact_email=lucas.delafuente@tu-dresden.de | + | |contact_email=mailto:lucas.delafuente@tu-dresden.de |
| − | |website=https://tu-dresden.de/bu/wirtschaft/bwl/ee2/forschung/modelle/gamamod | + | |website=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/gamamod?set_language=en |
| − | |text_description=The gas market model GAMAMOD is a bottom-up model used to determine and analyse the optimal natural gas supply structure in Germany and to examine the utilization of the natural gas infrastructure. In its basic version, the model is a Linear Program with a high spatial resolution and daily time steps. It contains more than 800 nodes and 1200 edges, while also taking into account parallel transmission lines, storage, and changes to demand and the grid as year progress. It's main outputs are optimal flow, imports, storage usage and retrofitting. | + | |text_description=The gas market model GAMAMOD is a bottom-up model used to determine and analyze the optimal natural gas supply structure in Germany and to examine the utilization of the natural gas infrastructure. In its basic version, the model is a Linear Program with a high spatial resolution and daily time steps. It contains more than 800 nodes and 1200 edges, while also taking into account parallel transmission lines, storage, and changes to demand and the grid as year progress. It's main outputs are optimal flow, imports, storage usage and retrofitting. |
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| | In addition, important suppliers for the European natural gas market are considered. On the supply side, the model considers different production capacities with respect to the production level. The model enables the transport of natural gas by modelling pipelines and liquefied natural gas (LNG) shipping. | | In addition, important suppliers for the European natural gas market are considered. On the supply side, the model considers different production capacities with respect to the production level. The model enables the transport of natural gas by modelling pipelines and liquefied natural gas (LNG) shipping. |
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| | A version of GAMAMOD focused on optimal retrofitting calculations also exists, this one has the form of a Mixed-Integer Linear Program. | | A version of GAMAMOD focused on optimal retrofitting calculations also exists, this one has the form of a Mixed-Integer Linear Program. |
| − | |Primary outputs=optimal gas flows | + | |Primary outputs=optimal gas flows; retrofitting potential; gas storage; import patterns |
| | + | |Number of developers=1 |
| | |open_source_licensed=No | | |open_source_licensed=No |
| | |model_source_public=No | | |model_source_public=No |
| − | |data_availability=all
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| | |open_future=Yes | | |open_future=Yes |
| | |modelling_software=GAMS; CPLEX | | |modelling_software=GAMS; CPLEX |
| | |GUI=No | | |GUI=No |
| | |model_class=German Transmission Grid | | |model_class=German Transmission Grid |
| | + | |sectors=Gas, |
| | |Demand sectors=Households, Industry, Commercial sector | | |Demand sectors=Households, Industry, Commercial sector |
| − | |Energy carrier (Gas)=Natural gas | + | |Energy carrier (Gas)=Natural gas, Biogas |
| − | |Transfer (Gas)=Transmission | + | |Transfer (Gas)=Distribution, Transmission |
| | |Storage (Gas)=Yes | | |Storage (Gas)=Yes |
| | |Storage (Heat)=No | | |Storage (Heat)=No |
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| | |timeresolution=Day | | |timeresolution=Day |
| | |network_coverage=transmission | | |network_coverage=transmission |
| | + | |Observation period=More than one year |
| | |math_modeltype=Optimization, Simulation | | |math_modeltype=Optimization, Simulation |
| − | |is_suited_for_many_scenarios=No | + | |math_objective=Total system cost |
| | + | |is_suited_for_many_scenarios=Yes |
| | |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 |
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| | |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 | | |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 | | https://www.mdpi.com/475018 |
| − | |example_research_questions=questions about: | + | |example_research_questions=- Sector Coupling between electricity and gas |
| − | - sector coupling between electricity and gas | + | - Security of Supply in the German gas network |
| − | - security of supply in the German gas network | + | - Retrofitting Potential of German Gas Grid |
| | |Model input file format=No | | |Model input file format=No |
| | |Model file format=No | | |Model file format=No |
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
- Sector Coupling between electricity and gas
- Security of Supply in the German gas network
- Retrofitting Potential of German Gas Grid
