GAMAMOD-DE - Revision history

Lucas De La Fuente at 12:59, 25 November 2024

2024-11-25T12:59:38Z

Lucas De La Fuente at 12:09, 25 November 2024

2024-11-25T12:09:18Z

Lucas De La Fuente at 13:04, 15 November 2024

2024-11-15T13:04:44Z

Philipp Hauser at 12:33, 12 June 2019

2019-06-12T12:33:51Z

Philipp Hauser at 12:24, 12 June 2019

2019-06-12T12:24:04Z

Philipp Hauser at 12:22, 12 June 2019

2019-06-12T12:22:51Z

Philipp Hauser at 12:21, 12 June 2019

2019-06-12T12:21:45Z

Philipp Hauser: Created page with "{{Model |Full_Model_Name=Gas Market Model for Germany |Acronym=GAMAMOD-DE |author_institution=Technische Universität Dresden (EE2) |authors=Philipp Hauser |contact_persons=Ph..."

2019-06-12T12:17:41Z

Created page with "{{Model |Full_Model_Name=Gas Market Model for Germany |Acronym=GAMAMOD-DE |author_institution=Technische Universität Dresden (EE2) |authors=Philipp Hauser |contact_persons=Ph..."

New page

{{Model
|Full_Model_Name=Gas Market Model for Germany
|Acronym=GAMAMOD-DE
|author_institution=Technische Universität Dresden (EE2)
|authors=Philipp Hauser
|contact_persons=Philipp Hauser
|contact_email=philipp.hauser@tu-dresden.de
|website=www.ee2.biz
|Primary outputs=gas flows
|open_source_licensed=No
|model_source_public=No
|data_availability=all
|open_future=Yes
|modelling_software=GAMS; CPLEX
|GUI=No
|Demand sectors=Households, Industry
|Energy carrier (Gas)=Natural gas
|Transfer (Gas)=Transmission
|Storage (Gas)=Yes
|Storage (Heat)=No
|decisions=dispatch
|is_suited_for_many_scenarios=No
|montecarlo=No
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 5: / Line 5: @@
 |authors=Lucas De La Fuente; Philipp Hauser
 |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.
 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.
 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
 |open_source_licensed=No
 |model_source_public=No
 |open_future=Yes
 |modelling_software=GAMS; CPLEX
 |GUI=No
 |model_class=German Transmission Grid
 |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 (Heat)=No
@@ Line 30: / Line 31: @@
 |timeresolution=Day
 |network_coverage=transmission
 |math_modeltype=Optimization, Simulation
-|is_suited_for_many_scenarios=No
+|math_objective=Total system cost
 |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
@@ Line 37: / Line 40: @@
 |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=- 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 file format=No

@@ Line 7: / Line 7: @@
 |contact_email=lucas.delafuente@tu-dresden.de
 |website=https://tu-dresden.de/bu/wirtschaft/bwl/ee2/forschung/modelle/gamamod
-|Primary outputs=gas flows
+|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.
 |open_source_licensed=No
 |model_source_public=No

@@ Line 6: / Line 6: @@
 |contact_persons=Philipp Hauser
 |contact_email=philipp.hauser@tu-dresden.de
-|website=www.ee2.biz
+|website=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/gamamod?set_language=en
 |Primary outputs=gas flows
 |open_source_licensed=No
@@ Line 26: / Line 26: @@
 |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:
 - sector coupling between electricity and gas

@@ Line 23: / Line 23: @@
 |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
+|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
 |example_research_questions=questions about:
 - sector coupling between electricity and gas