ELTRAMOD - Revision history

Steffi Misconel at 09:30, 19 May 2021

2021-05-19T09:30:24Z

Steffi Misconel at 09:29, 19 May 2021

2021-05-19T09:29:31Z

Steffi Misconel at 09:27, 19 May 2021

2021-05-19T09:27:04Z

Steffi Misconel at 09:24, 19 May 2021

2021-05-19T09:24:24Z

Steffi Misconel at 09:22, 19 May 2021

2021-05-19T09:22:39Z

Philipp Hauser: Created page with "{{Model |Full_Model_Name=Electricity Transhipment Model |Acronym=ELTRAMOD |author_institution=Technische Universität Dresden (EE2) |authors=Dominik Möst, Theresa Ladwig |con..."

2019-06-12T12:39:19Z

Created page with "{{Model |Full_Model_Name=Electricity Transhipment Model |Acronym=ELTRAMOD |author_institution=Technische Universität Dresden (EE2) |authors=Dominik Möst, Theresa Ladwig |con..."

New page

{{Model
|Full_Model_Name=Electricity Transhipment Model
|Acronym=ELTRAMOD
|author_institution=Technische Universität Dresden (EE2)
|authors=Dominik Möst, Theresa Ladwig
|contact_persons=Steffi Schreiber
|contact_email=steffi.schreiber@tu-dresden.de
|website=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/eltramod
|open_source_licensed=No
|model_source_public=No
|open_future=No
|GUI=No
|Storage (Gas)=No
|Storage (Heat)=No
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_references=Demand Side Management in Deutschland zur Systemintegration erneuerbarer Energien
|citation_doi=urn:nbn:de:bsz:14-qucosa-236074
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 33: / Line 33: @@
 |Observation period=More than one year
 |math_modeltype=Optimization
-|math_modeltype_shortdesc=Linear optimization model
+|math_modeltype_shortdesc=Linear optimization model. Decision variables include investment and dispatch of generation, storage, DSM and different sector coupling options including both wholesale and balancing markets.
 Decision variables include investment and dispatch of generation, storage, DSM and different sector coupling options including both wholesale and balancing markets
 |math_objective=Minimization of total system costs
 |deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;

@@ Line 34: / Line 34: @@
 |math_modeltype=Optimization
 |math_modeltype_shortdesc=Linear optimization model
 |math_objective=Minimization of total system costs
 |deterministic=Deterministic; Perfect foresight; Sensitivity analysis ;

@@ Line 7: / Line 7: @@
 |contact_email=dominik.moest@tu-dresden.de
 |website=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/eltramod
-|text_description=ELTRAMOD is a fundamental bottom-up electricity market model incorporating the electricity markets of the EU-27 states, Norway, Switzerland and the Balkan region as well as the Net Transfer Capacities (NTC) between these countries. Each country is treated as one node with country-specific hourly time series of electricity demand and renewable feed-in. The country-specific wind and photovoltaic feed-in is characterised by the installed capacity and an hourly capacity factor. The capacity factors are calculated with the help of publically available time series of wind speed and solar radiation from 2009 and 2010. ELTRAMOD is a linear optimisation model which calculates the cost-minimal generation dispatch and investments in additional transmission lines and storage facilities. The set of conventional power plants consists of fossil fired, nuclear and hydro plants where different technological characteristics are implemented, such as efficiency, emission factors and availability. Daily prices for CO2 allowances, as well as daily wholesale fuel prices supplemented by country specific mark-ups are implemented in ELTRAMOD. The country- and technology-specific parameters and the temporal resolution of 8760 hours allow an in-depth analysis of various challenges of the future European electricity system. For example, the trade-off between network extension and storage investment as well as import and export flows of electricity in Europe can be analysed.
+|text_description=ELTRAMOD is a fundamental bottom-up electricity market model incorporating the electricity markets of the EU-27 states, Norway, Switzerland, United Kingdom and the Balkan region as well as the Net Transfer Capacities (NTC) between these countries. Each country is treated as one node with country-specific hourly time series of electricity demand and renewable feed-in. The country-specific wind and photovoltaic feed-in is characterised by the installed capacity and an hourly capacity factor. The capacity factors are calculated with the help of publically available time series of wind speed and solar radiation. ELTRAMOD is a linear optimisation model which calculates the cost-minimal generation dispatch and investments in additional transmission lines, storage facilities and other flexibility options. The set of conventional power plants consists of fossil fired, nuclear and hydro plants where different technological characteristics are implemented, such as efficiency, emission factors and availability. Daily prices for CO2 allowances, as well as daily wholesale fuel prices supplemented by country-specific mark-ups are implemented in ELTRAMOD. The country- and technology-specific parameters and the temporal resolution of 8760 hours allow an in-depth analysis of various challenges of the future European electricity system. For example, the trade-off between network extension and storage investment as well as import and export flows of electricity in Europe can be analysed.
 |open_source_licensed=No
 |model_source_public=No

@@ Line 14: / Line 14: @@
 |modelling_software=GAMS; CPLEX
 |GUI=No
 |model_class=German and European Electricity Market,
 |sectors=Electricity including sector coupling (EVs, PtX)
 |technologies=Renewables, Conventional Generation, CHP
@@ Line 58: / Line 58: @@
 Müller, T.; Gunkel, D.; Möst, D.: Renewable curtailment and its impact on grid and storage
 capacities in 2030, Enerday Conference, Dresden 2013.
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}

@@ Line 1: / Line 1: @@
 {{Model
-|Full_Model_Name=Electricity Transhipment Model
+|Full_Model_Name=Electricity Transshipment Model
 |Acronym=ELTRAMOD
-|author_institution=Technische Universität Dresden (EE2)
+|author_institution=Technische Universität Dresden (ee2)
-|authors=Dominik Möst, Theresa Ladwig
+|authors=Dominik Möst, David Gunkel, Theresa Ladwig, Daniel Schubert, Hannes Hobbie, Christoph Zöphel, Steffi Misconel, Carl-Philipp Anke
-|contact_persons=Steffi Schreiber
+|contact_persons=Dominik Möst
-|contact_email=steffi.schreiber@tu-dresden.de
+|contact_email=dominik.moest@tu-dresden.de
 |website=https://tu-dresden.de/bu/wirtschaft/ee2/forschung/modelle/eltramod
 |open_source_licensed=No
 |model_source_public=No
-|open_future=No
+|data_availability=some
 |GUI=No
-|Storage (Gas)=No
+|model_class=German and European Electricity Market,
-|Storage (Heat)=No
+|sectors=Electricity including sector coupling (EVs, PtX)
 |is_suited_for_many_scenarios=No
 |montecarlo=No
 |citation_references=Demand Side Management in Deutschland zur Systemintegration erneuerbarer Energien
 |citation_doi=urn:nbn:de:bsz:14-qucosa-236074
 |Model input file format=No
 |Model file format=No
 |Model output file format=No
 }}