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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=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/gamamod-de | + | |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 |
Latest revision as of 13:04, 15 November 2024
Gas Market Model
by Technische Universität Dresden (EE2)
Authors: Lucas De La Fuente; Philipp Hauser
Contact: Lucas De La Fuente
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Based on GAMS; CPLEX. Using for data processing.
Website / Documentation
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Not Open Source
Not directly downloadable
Input data shipped
Planned to open up further in the future
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Model Scope |
Model type and solution approach |
Model class
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German Transmission Grid
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Sectors
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Technologies
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Decisions
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dispatch
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Regions
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Germany
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Geographic Resolution
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NUTS0 - NUTS3, for DE
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Time resolution
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Day
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Network coverage
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transmission
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Model type
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Optimization, Simulation
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Variables
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Computation time
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minutes
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Objective
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Uncertainty modeling
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Suited for many scenarios / monte-carlo
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No
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References
Scientific 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
https://dx.doi.org/http://hdl.handle.net/10419/197000
Reports produced using the model
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:
- sector coupling between electricity and gas
- security of supply in the German gas network
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