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| | |Full_Model_Name=Gas Market Model | | |Full_Model_Name=Gas Market Model |
| | |Acronym=GAMAMOD | | |Acronym=GAMAMOD |
| − | |author_institution=TU 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=mailto:lucas.delafuente@tu-dresden.de |
| | |website=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/gamamod?set_language=en | | |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 Europe and to examine the utilization of the natural gas infrastructure. In its basic version, the model includes the EU-28 countries as well as Switzerland, Norway, the Baltic States and the Balkan region. In addition, important suppliers for the European natural gas market are considered (e.g. Russia, Algeria, and Qatar). 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. The capacity of single pipelines between neighbouring countries are aggregated in the model. In the case of LNG shipping, the model considers regasification and liquefaction capacities in export and import countries. The model includes an exogenously imputed natural gas demand for each respective country. Moreover, seasonal demand patterns in the respective countries are considered. | + | |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. |
| | GAMAMOD enables the analysis of trading capacities between regional markets. Due to restricted transmission capacities, regional incidences of congestions might occur. The model allows for examining supply interruptions and their impact on the European natural gas system. As each country is modelled as a single aggregated node, no congestions occur within a market area. Furthermore, the model considers natural gas storage, which ensures security of supply in the European natural gas market. | | GAMAMOD enables the analysis of trading capacities between regional markets. Due to restricted transmission capacities, regional incidences of congestions might occur. The model allows for examining supply interruptions and their impact on the European natural gas system. As each country is modelled as a single aggregated node, no congestions occur within a market area. Furthermore, the model considers natural gas storage, which ensures security of supply in the European natural gas market. |
| | Cyprus and Malta are isolated from the integrated European natural gas pipeline grid. Therefore, they are not considered in the model. | | Cyprus and Malta are isolated from the integrated European natural gas pipeline grid. Therefore, they are not considered in the model. |
| | + | |Primary outputs=optimal gas flows; retrofitting potential; gas storage; import patterns |
| | |open_source_licensed=No | | |open_source_licensed=No |
| | |model_source_public=No | | |model_source_public=No |
| − | |data_availability=some
| |
| | |open_future=Yes | | |open_future=Yes |
| − | |modelling_software=GAMS | + | |modelling_software=GAMS; CPLEX |
| | |GUI=No | | |GUI=No |
| − | |model_class=European Natural Gas Market | + | |model_class=German Transmission Grid, |
| − | |sectors=gas | + | |sectors=Gas, |
| − | |Demand sectors=Households, Industry, Other | + | |Demand sectors=Households, Industry, Commercial sector, Other |
| − | |Energy carrier (Gas)=Natural gas, Biogas, Hydrogen | + | |Energy carrier (Gas)=Natural gas, Biogas |
| − | |Transfer (Electricity)=Distribution
| + | |
| | |Transfer (Gas)=Distribution, Transmission | | |Transfer (Gas)=Distribution, Transmission |
| − | |Storage (Gas)=No | + | |Storage (Gas)=Yes |
| | |Storage (Heat)=No | | |Storage (Heat)=No |
| | |decisions=dispatch, investment | | |decisions=dispatch, investment |
| − | |network_coverage=transmission, distribution | + | |georegions=Germany |
| − | |Observation period=Less than one month | + | |georesolution=NUTS0 - NUTS3, for DE |
| − | |math_modeltype=Optimization | + | |timeresolution=Day |
| − | |is_suited_for_many_scenarios=No | + | |network_coverage=transmission |
| | + | |Observation period=More than one year |
| | + | |math_modeltype=Optimization, Simulation |
| | + | |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_doi=http://hdl.handle.net/10419/197000 |
| | + | |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=- Sector Coupling between electricity and gas |
| | + | - 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 |
| | |Model output file format=No | | |Model output 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
