A statistical approach for the optimal sizing of partial electrification for battery trains

For limited energy train such as battery train, the sizing of the infrastructure becomes a new challenge especially for a partial electrification today. The sizing of those partial electrification is made based on a worst-case scenario energetically wise. In this paper this sizing is challenged by using a statistical tool to analyze 2 years of circulation data to build a statistical scenario that covers 95% of the energy expenses. Implication on the sizing of an electrification on a real line, and the cost associated is showed. This real case gives insight on how an optimized electrification can imply large changes in terms of costs, work and for a controlled trade-off.