P-graph-based multi-objective risk analysis and redundancy allocation in safety-critical energy systems

Zoltán Süle, János Baumgartner, Gyula Dörgő and János Abonyi

Energy, 2019, vol. 179, issue C, 989-1003

Abstract: As most of the energy production and transformation processes are safety-critical, it is vital to develop tools that support the analysis and minimisation of their reliability-related risks. The resultant optimisation problem should reflect the structure of the process which requires the utilisation of flexible and problem-relevant models. This paper highlights that P-graphs extended by logical condition units can be transformed into reliability block diagrams, and based on the cut and path sets of the graph a polynomial risk model can be extracted which opens up new opportunities for the definition optimisation problems related to reliability redundancy allocation. A novel multi-objective optimisation based method has been developed to evaluate the criticality of the units and subsystems. The applicability of the proposed method is demonstrated using a real-life case study related to a reforming reaction system. The results highlight that P-graphs can serve as an interface between process flow diagrams and polynomial risk models and the developed tool can improve the reliability of energy systems in retrofitting projects.

Keywords: Reliability of energy systems; P-graph based process optimisation; Risk analysis; Critical components; Multi-objective optimisation (search for similar items in EconPapers)
Date: 2019
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Citations: View citations in EconPapers (5)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:179:y:2019:i:c:p:989-1003

DOI: 10.1016/j.energy.2019.05.043

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