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

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.

• Record URL:
  • https://doi.org/10.1016/j.geits.2024.100164
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S2773153724000161
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/27731537
• Supplemental Notes:
  • © 2024 The Author(s). Published by Elsevier Ltd on behalf of Beijing Institute of Technology Press Co., Ltd. Abstract reprinted with permission of Elsevier.
• Authors:
  • Shi, Ruifeng
  • 0000-0002-7079-7428
  • Zhang, Lingzhi
  • Lin, Feng
  • Ning, Jin
  • Jia, Limin
  • Lee, Kwang Y
• Publication Date: 2024-6

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 100164
• Serial:
  • Green Energy and Intelligent Transportation
  • Volume: 3
  • Issue Number: 3
  • Publisher: Elsevier
  • ISSN: 2773-1537
  • Serial URL: https://www.sciencedirect.com/journal/green-energy-and-intelligent-transportation
• Publication flags:

  Open Access (libre)

Subject/Index Terms

• TRT Terms: Energy conservation; Energy consumption; Environmental impacts; Optimization; Rail transit; Technology assessment
• Subject Areas: Energy; Public Transportation; Railroads;

Filing Info

• Accession Number: 01935608
• Record Type: Publication
• Files: TRIS
• Created Date: Oct 31 2024 9:18AM