A simulation-based approach for resilience assessment of process system: A case of LNG terminal system

Hao Sun*, Ming Yang, Enrico Zio, Xinhong Li, Xiaofei Lin, Xinjie Huang, Qun Wu

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

Abstract

System resilience denotes the capacity to uphold desired system performance in the face of disruptions. Evaluating the resilience of a process system necessitates a thorough consideration of the intricate interplay between its components and the pivotal role of process parameters in reflecting the repercussions of disruptions on the system. This paper introduces an integrated methodology that takes into account component interactions and leverages process data for the resilience assessment of a process system. The proposed methodology comprises four key components: system structure analysis, disruption impacts analysis, process simulation, and resilience assessment. Firstly, the system structure is meticulously scrutinized using a P-graph model. This analysis encompasses the assessment of the significance and interplay of components, as well as the evaluation of how component failures affect the system's overall processes. Secondly, a Markov model is devised to examine the state transition process of components and quantifies the maintenance time needed for failed components. Subsequently, a simulation model is formulated to acquire real-time process parameters in the presence of disruptive events. Finally, the system's performance response function (PRF) is derived from the normalization of these process parameters. Building upon this foundation, a resilience assessment is conducted with a focus on the PRF. To illustrate the effectiveness of this methodology, an LNG terminal system is employed as an exemplar.

Original languageEnglish
Article number110207
JournalReliability Engineering and System Safety
Volume249
DOIs
Publication statusPublished - 2024

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.

Keywords

  • Dynamic simulation
  • LNG terminal system
  • Process safety
  • Resilience

Fingerprint

Dive into the research topics of 'A simulation-based approach for resilience assessment of process system: A case of LNG terminal system'. Together they form a unique fingerprint.

Cite this