This paper deals with the potential fuel savings of power sources hybridization obtained through an accurate Energetic Macroscopic Representation (EMR) model, of a new range of railcar, deduced from a reverse engineering process. Two different solutions of Energy Storage System (ESS) have been studied: a first hybridization with Lithium Capacitors (LiCa) and a second one with flywheels (FW). The modularity and physical causality of EMR approach enabled the easy implementation of both LiCa and FW system models, in the global railcar power system. According to simulation results, fuel savings can reach up to 18% with FW system.
Energetic Macroscopic Representation in Reverse Engineering Process: Railcar Hybridization
SORRENTINO, Marco
2016
Abstract
This paper deals with the potential fuel savings of power sources hybridization obtained through an accurate Energetic Macroscopic Representation (EMR) model, of a new range of railcar, deduced from a reverse engineering process. Two different solutions of Energy Storage System (ESS) have been studied: a first hybridization with Lithium Capacitors (LiCa) and a second one with flywheels (FW). The modularity and physical causality of EMR approach enabled the easy implementation of both LiCa and FW system models, in the global railcar power system. According to simulation results, fuel savings can reach up to 18% with FW system.File in questo prodotto:
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