RAMS assessment methodology for road transport self-contained energy systems considering source-load dual uncertainty

Lingzhi Zhang, Ruifeng Shi, Jin Ning, Limin Jia and Kwang Y. Lee

Renewable Energy, 2025, vol. 239, issue C

Abstract: The reciprocal advancement of energy and transportation serves as a foundation for and accelerates the continuity of human civilization and technological development. The transportation sector represents a substantial proportion of energy consumption, thus, making the optimization of transportation assets and the greening of energy utilization are critical strategies for achieving dual carbon targets. This study addresses the deficiencies in performance assessment methodologies for self-sufficient energy systems in road transportation by proposing a Reliability, Availability, Maintainability, Safety (RAMS) assessment framework and corresponding indicator system that incorporates "source-load" uncertainties. Analysis of operational modes enables to determine the overall system performance. Initially, the study establishes the system architecture for self-sufficient energy systems in road transportation, complemented by a "source-storage-load" component model. Subsequently, 13 RAMS assessment indicators are developed incorporating uncertainties, and a RAMS assessment framework is presented. To mitigate the impact of uncertainties on system evaluations, the Latin Hypercube Sampling method and synchronous back-substitution scenario reduction technique are employed.

Keywords: Integration of energy and transportation systems; Self-contained energy systems for road transport; RAMS assessment methodology; Latin hypercube (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:239:y:2025:i:c:s0960148124021645

DOI: 10.1016/j.renene.2024.122096

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