REVOL-E-TION: A flexible and scalable investment optimization toolbox for local energy systems incorporating electric vehicle fleets

Electric vehicles (EVs) interact with their energy supply systems fundamentally differently than conventional internal combustion engine vehicles (ICEVs). Therefore, only joint consideration can leverage all integration synergies and show the most valuable transition pathway, accelerating EV proliferation, especially for commercial applications recharging in depots. However, openly available toolboxes lack easy-to-use functions for vehicle and mobile storage fleet modeling as well as multi-scenario investment decision making. With REVOL-E-TION, we present an open source local energy system investment optimization toolbox based on the open source oemof framework in Python, filling these gaps. This publication presents both the application spectrum and setup of REVOL-E-TION, and demonstrates its use in a hypothetical municipal fleet depot electrification.