Revol-E-Tion: A Flexible and Scalable Investment Optimization Toolbox for Local Energy Systems Incorporating Electric Vehicle Fleets

Abstract

Electric vehicles (EVs) interact with their energy supply systems fundamentally differentlythan conventional internal combustion engine vehicles (ICEVs). Therefore, onlyjoint consideration can leverage all integration synergies and show the most valuabletransition pathway, accelerating EV proliferation, especially for commercial applicationsrecharging in depots. However, openly available toolboxes lack easy-to-use functionsfor vehicle and mobile storage fleet modeling as well as multi-scenario investmentdecision making. With REVOL-E-TION, we present an open source local energy systeminvestment optimization toolbox based on the open source oemof framework inPython, filling these gaps. This publication presents both the application spectrum andsetup of REVOL-E-TION, and demonstrates its use in a hypothetical municipal fleetdepot electrification.

Keywords: charge scheduling, electric vehicle, energy system, investment optimization