Optimal Capacity Estimation Method of the Energy Storage Mounted on a Wireless Railway Train for Energy-Sustainable Transportation
Jaewon Kim,
Joorak Kim,
Changmu Lee,
Gildong Kim,
Hansang Lee and
Byongjun Lee
Additional contact information
Jaewon Kim: Korea Railroad Research Institute, Uiwang 16105, Korea
Joorak Kim: Korea Railroad Research Institute, Uiwang 16105, Korea
Changmu Lee: Korea Railroad Research Institute, Uiwang 16105, Korea
Gildong Kim: Korea Railroad Research Institute, Uiwang 16105, Korea
Hansang Lee: BK21+ Humanware IT Program, Korea University, Seoul 02841, Korea
Byongjun Lee: School of Electrical Engineering, Korea University, Seoul 02841, Korea
Energies, 2018, vol. 11, issue 4, 1-19
Abstract:
Although electric railway systems have gone through many technological innovations in their electrical, mechanical and structural engineering since the energy paradigm conversion to electrical energy, the conventional feeding system based on the catenary contact is still being applied. In order to solve the problems of the contact-based feeding system that arise and to build up the energy-sustainable electric railway system simultaneously, this paper considers the wireless railway train (WRT), which is fed by storages mounted on the board without catenary contact during driving and charged at a platform during a stop. In order to maximize the energy improvement of WRTs’ operation, the optimal power and storage capacity estimation method considering the increased weight of the additional storage devices is proposed. Through case studies of the electrical and topographical conditions of the actual operating railway route, compared with the electrical performance of the existing railway trains, it is verified that the application of WRTs leads to facility capacity margin enlargement through the peak power reduction, and cost-effectiveness improvement through the reduction of catenary loss and driving energy.
Keywords: wireless railway train (WRT); electric railway system (ERS); optimal power and storage capacity; regenerative power; energy saving (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)
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