OpenTUMFlex - Revision history

Babu Kumaran Nalini: Objective addition

2021-01-22T09:51:58Z

Objective addition

Babu Kumaran Nalini: Website correction

2021-01-22T09:50:18Z

Website correction

Babu Kumaran Nalini: Model addition

2021-01-22T09:45:26Z

Model addition

New page

{{Model
|Full_Model_Name=OpenTUMFlex
|Acronym=OpenTUMFlex
|author_institution=Technical University of Munich
|authors=Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler
|contact_persons=Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler
|contact_email=michel.zade@tum.de, babu.kumaran-nalini@tum.de, zhengjie.you@tum.de, ptzscheu@tum.de
|website=https://www.ei.tum.de/ewk/forschung/projekte/c-sells/
|source_download=https://github.com/tum-ewk/OpenTUMFlex
|text_description=An open-source flexibility estimation model that quantifies all possible flexibilities from the available prosumer devices and prices them.
|Primary outputs=Flexibility tables
|Source of funding=SINTEG C/sells
|open_source_licensed=Yes
|license=GNU General Public License version 3.0 (GPL-3.0)
|model_source_public=Yes
|Link to source=https://github.com/tum-ewk/OpenTUMFlex
|data_availability=some
|open_future=No
|modelling_software=Python (Pyomo)
|GUI=No
|model_class=Energy System Model, urban energy systems, load shifting optimisation, Local energy systems,
|sectors=Energy, Electricity Market, Households, electricity plus sector coupling (EVs,
|technologies=Renewables, CHP
|Demand sectors=Households, Industry
|Energy carriers (Renewable)=Sun
|Transfer (Electricity)=Distribution
|Transfer (Gas)=Distribution
|Transfer (Heat)=Distribution
|Storage (Electricity)=Battery
|Storage (Gas)=No
|Storage (Heat)=Yes
|User behaviour=Prosumer Flexibility
|Market models=Local energy market
|georegions=User dependent
|georesolution=User dependent
|timeresolution=15 Minute
|network_coverage=distribution
|math_modeltype=Optimization, Simulation
|is_suited_for_many_scenarios=No
|montecarlo=No
|citation_references=Zade, M.; You, Z.; Kumaran Nalini, B.; Tzscheutschler, P.; Wagner, U. Quantifying the Flexibility of Electric Vehicles in Germany and California—A Case Study. Energies 2020, 13, 5617.
|citation_doi=doi:10.3390/en13215617
|example_research_questions=How can prosumer offer flexibility to the grid?
Can prosumer flexibility be quantified?
|Model input file format=No
|Model file format=No
|Model output file format=No
}}

@@ Line 37: / Line 37: @@
 |network_coverage=distribution
 |math_modeltype=Optimization, Simulation
 |is_suited_for_many_scenarios=No
 |montecarlo=No

@@ Line 3: / Line 3: @@
 |Acronym=OpenTUMFlex
 |author_institution=Technical University of Munich
 |authors=Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler
 |contact_persons=Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler
 |contact_email=michel.zade@tum.de, babu.kumaran-nalini@tum.de, zhengjie.you@tum.de, ptzscheu@tum.de
-|website=https://www.ei.tum.de/ewk/forschung/projekte/c-sells/
+|website=https://www.ei.tum.de/en/ewk/forschung/projekte/c-sells/
 |source_download=https://github.com/tum-ewk/OpenTUMFlex
 |text_description=An open-source flexibility estimation model that quantifies all possible flexibilities from the available prosumer devices and prices them.
 |Primary outputs=Flexibility tables
 |Source of funding=SINTEG C/sells
 |open_source_licensed=Yes
 |license=GNU General Public License version 3.0 (GPL-3.0)
@@ Line 19: / Line 19: @@
 |modelling_software=Python (Pyomo)
 |GUI=No
 |model_class=Energy System Model, urban energy systems, load shifting optimisation, Local energy systems,
 |sectors=Energy, Electricity Market, Households, electricity plus sector coupling (EVs,
 |technologies=Renewables, CHP
 |Demand sectors=Households, Industry