Contribution of Driver Efficiency to the European Green Deal

The European Green Deal (EGD) aims to make Europe the first climate-neutral continent as well as to reduce emissions of greenhouse gases by 2050. This research offers proposals for this deal based on sustainable transport, clean energy and reduction in energy consumption of the buildings. An algorithm based on Here® application programming interface, neural networks, data from the Spanish transmission system operator, eco-routing (ER), eco-driving (EDR) and eco-charging (EC) is proposed. Its contribution to vehicle-to-home (V2H), renewable energy (RE) integration, V2H and vehicle-to-grid (V2G) compatibility is analyzed by using data acquisitions of trips made by drivers belonging to different social groups. The algorithm allows saving per day up to 2.2 kWh for freelancers, 1.5 kWh for commuters and 0.6 kWh for local workers. The V2H contribution is increased from 18 to 553 MWh per year. Finally, neural networks allow a better integration of RE. The contributions to the EGD are the following. Energy efficiency is improved when policies are addressed to the adequate social sector combined with EDR and ER. Neural networks allow achieving a better integration of renewable energies as they predict when its contribution is higher. Policies to make V2G and V2H compatible to reduce emissions must be developed.