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| |Acronym=OpenTUMFlex | | |Acronym=OpenTUMFlex |
| |author_institution=Technical University of Munich | | |author_institution=Technical University of Munich |
− | |authors=Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler | + | |authors=Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler |
− | |contact_persons=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 | + | |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 | | |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. | | |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 | | |Primary outputs=Flexibility tables |
− | |Source of funding=SINTEG C/sells | + | |Source of funding=SINTEG C/sells |
| |open_source_licensed=Yes | | |open_source_licensed=Yes |
| |license=GNU General Public License version 3.0 (GPL-3.0) | | |license=GNU General Public License version 3.0 (GPL-3.0) |
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| |modelling_software=Python (Pyomo) | | |modelling_software=Python (Pyomo) |
| |GUI=No | | |GUI=No |
− | |model_class=Energy System Model, urban energy systems, load shifting optimisation, Local energy systems, | + | |model_class=Energy System Model, urban energy systems, load shifting optimisation, Local energy systems, |
− | |sectors=Energy, Electricity Market, Households, electricity plus sector coupling (EVs, | + | |sectors=Energy, Electricity Market, Households, electricity plus sector coupling (EVs, |
| |technologies=Renewables, CHP | | |technologies=Renewables, CHP |
| |Demand sectors=Households, Industry | | |Demand sectors=Households, Industry |
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.
https://dx.doi.org/doi:10.3390/en13215617
How can prosumer offer flexibility to the grid?
Can prosumer flexibility be quantified?