Cost effective storage for energy saving in feeding systems of tramways

2019

Softw Pract Exp

Self Cite

Summary Simulation of multi‐engineering systems typically requires many issues to be solved, which are to be addressed by developing appropriate modeling and simulation programming techniques. In the last years, the authors have participated in several studies in which they analyzed in detail electrified railway systems and simulated them using Modelica language. After a few years of study, despite the huge complexity of these systems, it has appeared evident that Modelica language is very well suited and able to effectively solve the typical issues they present. While specific railway system simulations have already been discussed in specific papers, whose focus was on application and actual results, in this paper, the authors show how to use Modelica language to solve specific modeling issues through suitable programming techniques. Moreover, the issues to be solved and the conceived techniques may be interpreted in a general way and to be applied also in different engineering domains. Finally, this paper briefly recalls the principal results obtained in previous specific papers, in which these techniques were fully implemented.

Section: Summarizing Case Studiesmentioning

confidence: 99%

Section: Summarizing Case Studiesmentioning

confidence: 99%

Section: Regenerative Braking In a Tramway Linementioning

confidence: 99%

“…Different combinations may produce slightly higher payback periods but confined within one-half of the life plant. 12…”

Section: Regenerative Braking In a Tramway Linementioning

confidence: 99%

See 2 more Smart Citations

Use of Modelica language to simulate electrified railway lines and trains

Ceraolo

2019

Softw Pract Exp

Self Cite

“…The comparison refers to a real tramline with a total length of about 20 km, with five electrical substations, 14 stops (including the two terminals) and four operating vehicles [27] - [32]. The maximum speed between stops has been fixed to 10 m/s.…”

Section: Comparison Between Conventional and Maglev Urban Transpormentioning

confidence: 99%

The AMLEV technology applied to low speed urban transportation systems

2017 IEEE 3rd International Forum on Research and Technologies for Society and Industry (RTSI)

Musolino

Rizzo

et al. 2017

Self Cite

The American version of Maglev (AMLEV) was developed in the USA since 1992. It is based on the interaction between a system of permanent magnets (PMs) installed on the vehicle, and steel cores positioned along the guideway. By using an analytical model, the inventor demonstrated that the system was able to produce levitating and stabilizing forces, allowing to safely reach a speed up to 150 m/s. In the present paper, the AMLEV technology is firstly simulated by using a FEM model; then its possible application in a low speed urban transportation system is verified. Finally, a comparison in terms of energy consumption and braking energy recovery efficiency is performed

Automated people mover: a comparison between conventional and permanent magnets MAGLEV systems

IET Electrical Systems in Transportation

Musolino

Rizzo

2017

An automated people mover (APM) is a system used in urban/suburban areas to transport passengers point to point with a high frequency and a reliable service. Although conventional wheel-on-rail/route systems are commonly used in APMs, the application of the magnetic levitation (MAGLEV) technology in this field sounds promising. Since this technology replaces the wheels by electromagnetic systems, there is no contact between the levitating vehicle and the guideway. This implies zero wear, reduced maintenance and virtually no noise and vibrations. Efficiency, lightweight and cheapness represent expected additional benefits. The aim of thisstudy is to show, through a theoretical analysis based on a real APM and on a simulated automated MAGLEV people mover (AMPM), how the low-speed MAGLEV applications can compete with conventional wheel/ rail technology. The levitation and guiding forces in a permanent magnets-based AMPM have been obtained by using an FEM code. Then, a simulation tool, based on Modelica language, has been developed to perform a comparison between a conventional APM and an AMPM, in terms of power and energy requirements engaged in urban routes. Finally, a brief preliminary estimation of costs for the major AMPM subsystems has been presented.