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Annotated survey and perspectives on rail transport energy system RAMS evaluation technology

Authors :
Ruifeng Shi
Lingzhi Zhang
Feng Lin
Jin Ning
Limin Jia
Kwang Y. Lee
Source :
Green Energy and Intelligent Transportation, Vol 3, Iss 3, Pp 100164- (2024)
Publication Year :
2024
Publisher :
Elsevier, 2024.

Abstract

The rail transit system plays a crucial role in modern transportation. With the increasing demand for clean and green energy in the transport sector, its energy system is expected to achieve low-carbon and highly efficient energy utilization in rail transit. However, the gradual development of the rail transport energy system has led to an increase in its complexity, and the rising difficulty of system assessment has faced the limitations of traditional assessment methods. Hence, it is essential to develop effective assessment methods. This paper begins by providing a systematic review of the development status of Reliability, Availability, Maintainability and Safety (RAMS) assessment and analyzing the shortcomings of traditional RAMS assessment technology in the context of rail transit energy systems. Subsequently, based on the four fundamental properties of RAMS, it summarizes the current state of key assessment technologies in the field of rail transit. Moreover, the paper delves into the challenges and potential solutions concerning the implementation of RAMS assessment technology for rail transit energy systems. Finally, the paper offers an outlook on the future development of RAMS assessment for rail transport energy systems. By comprehensively analyzing these aspects, the paper aims to contribute valuable insights into optimizing the rail transit energy system, promoting its sustainable and efficient operation in the context of clean and green energy utilization.

Details

Language :
English
ISSN :
27731537
Volume :
3
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Green Energy and Intelligent Transportation
Publication Type :
Academic Journal
Accession number :
edsdoj.13cd105ab84680b437b61ac797389b
Document Type :
article
Full Text :
https://doi.org/10.1016/j.geits.2024.100164