To achieve national climate protection goals, the decarbonisation of the transport sector is of primordial importance. In this regard, electromobility has become one of the most promising automotive trends. However, a large-scale adoption of electric vehicles (EVs) would considerably burden the existing energy grid, especially in high-traffic areas. From the power industry’s perspective it is essential to anticipate the power capacities required for EV-charging in order to ensure sufficient power transmission. As a consequence, spatial-temporal forecast techniques for electromobile loads become more and more important for power system planing and operation. Since airports and fairs accommodate the world’s largest parking facilities and therefore are particularly affected by EV mass deployment, the present paper seeks to analyse the forthcoming EV energy demand on these locations in more detail. Based on project experience at Stuttgart Airport and Fair, a novel forecast model for electromobile loads is introduced within this work, followed by a discussion of the predicted energy demand and its influence on local power consumption.
Forecast model for electromobile loads at Stuttgart airport and fair
2017
2017
Aufsatz (Konferenz)
Elektronische Ressource
Unbekannt
Electromobile driving mileage estimation method, device and electromobile
Europäisches Patentamt | 2016
|Engineering Index Backfile | 1921
Engineering Index Backfile | 1899
Tema Archiv | 1988
|