Driver Efficiency and Software: Influence on Vehicle-to-Building

Energy consumption in the transport sector and in buildings are of great concern. This research aims to quantify how eco-routing (ER), eco-driving (EDR) and eco-charging (EC) can increase the amount of energy available for vehicle-to-building (V2B). To do this, the working population was broken into social groups (freelancers, local workers and commuters) who reside in two cities with different climate zones (Alcalá de Henares-Spain and Jaén-Spain) as the way of using electric vehicle (EV) is different. An algorithm based on the Here® application program interface and neural networks was implemented to acquire data of the stochastic usage of EVs of each social group. Finally, an increase in the amount of energy available for V2B thanks to the algorithm was assessed. The results per day were as follows. Owing to the algorithm proposed a reduction ranging from 0.6 kWh to 2.2 kWh was obtained depending on social groups. The proposed algorithm facilitated an increase in energy available for V2B ranging from 13.2 kWh to 33.6 kWh depending on social groups. The results display that current charging policies are not compatible with all social groups and do not consider the renewable energy contribution to the total electricity demand.