]> 2026-04-14T13:33:02+02:00 OpenTUMFlex 0 Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler doi:10.3390/en13215617 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. Michel Zade, Babu Kumaran Nalini, Zhengjie You, Peter Tzscheuschler some How can prosumer offer flexibility to the grid? Can prosumer flexibility be quantified? OpenTUMFlex User dependent false GNU General Public License version 3.0 (GPL-3.0) Optimization Simulation Cost optimal optimization and flexibility calculation Energy System Model urban energy systems load shifting optimisation Local energy systems true Python (Pyomo) distribution false true Energy Electricity Market Households electricity plus sector coupling (EVs Renewables CHP An open-source flexibility estimation model that quantifies all possible flexibilities from the available prosumer devices and prices them. 15 Minute 2021-01-22T09:45:26Z 2459236.9065509 2021-01-22T09:51:58Z 2459236.911088 false OpenTUMFlex