https://wiki.openmod-initiative.org/api.php?action=feedcontributions&feedformat=atom&user=Babu+Kumaran+Nalini 2026-05-25T00:08:55Z User contributions MediaWiki 1.19.7 https://wiki.openmod-initiative.org/wiki/OpenTUMFlex 2021-01-22T09:51:58Z

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

Babu Kumaran Nalini https://wiki.openmod-initiative.org/wiki/OpenTUMFlex 2021-01-22T09:50:18Z

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

Babu Kumaran Nalini https://wiki.openmod-initiative.org/wiki/OpenTUMFlex 2021-01-22T09:45:26Z

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

Babu Kumaran Nalini