Abstract
Electrified guided vehicles typically face routes having a large number of acceleration and braking phases. The braking energy, since the feeding line presents nonreversible electrical feeding substations, can be recovered in the presence of other nearby vehicles. To improve braking energy recovery, one or more storage systems can be positioned along the track. Analysis of effectiveness for the considered solution requires time-domain simulation models, to be created through suitable simulation general-purpose languages or specialised languages/software. In this paper, three different tools for the considered existing tramway were developed, and the main examined characteristics have been compared to each other. Then, analysis of output results was also performed, demonstrating the real cost-effectiveness of introducing one storage device on the considered tramline in operation.
Highlights
Electrified guided vehicles such as trams typically face routes with a large number of acceleration and braking phases
The results show that installation of a stationary storage system may guarantee a payback time within just two year
This paper has demonstrated how innovative languages and software allow rapid creation of numerical models, having electrical, mechanical, and control parts to be simulated
Summary
Electrified guided vehicles such as trams typically face routes with a large number of acceleration and braking phases In this regard, only a fraction of the initial kinetic energy can be partially recovered [1,2,3,4]. Dymola [10], a commercial tool based on the open-source Modelica language [11], represents a recent solution having many advantages, in terms of flexibility, simulation efficiency, and man-machine interface, as demonstrated in several past works on railway systems, by the same authors [12, 13]. After mutually validating the three tools under consideration, a technical-economic analysis for a tramway line in operation has been performed In this way, energy consumption in realistic traffic conditions was taken into account, and energy saving due the installation of a storage device accurately calculated. Payback time of the investment was evaluated, demonstrating the costeffectiveness of the considered solution
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