E-ISSN: 2148-9386
Volume : 10 Issue : 3 Year : 2022

JEMS apply the Creative Commons Attribution NonCommercial 4.0 International Licence to all manuscripts to be published
Performance and Reliability Monitoring of Ship Hybrid Power Plants [JEMS Maritime Sci]
JEMS Maritime Sci. 2022; 10(1): 29-38 | DOI: 10.4274/jems.2022.82621

Performance and Reliability Monitoring of Ship Hybrid Power Plants

Charalampos Tsoumpris, Gerasimos Theotokatos
University of Strathclyde Glasgow, Maritime Safety Research Centre, Department of Naval Architecture, Ocean and Marine Engineering, United Kingdom

Recently, the marine industry has been under a paradigm shift toward adopting increased automation, and initiatives to enable the autonomous operations of ships are ongoing. In these cases, power plants require advanced monitoring techniques not only for the performance parameters but also to assess the health state of their critical components. In this respect, this study aims to develop a monitoring functionality for power plants that captures the performance metrics while considering the overall system and its componentsí reliability. A hybrid power plant of a pilot boat is considered a case study. A rule-based energy management strategy is adopted, which makes the decisions on the power distribution to the investigated power plant components. Additionally, a dynamic Bayesian network is developed to capture the temporal behavior of the systemís/componentsí reliability accounting for the power plantís operating profile. Results demonstrate that the selected hybrid power plant monitoring capabilities are enhanced by providing the power plant performance along with the estimation of the systemís health state. Furthermore, these extended monitoring capabilities can provide the essential metrics to facilitate decisionmaking, enabling the autonomous operation of the power plant.

Keywords: Hybrid power plant, Monitoring, Energy management, Dynamic Bayesian network, Autonomous operations

Charalampos Tsoumpris, Gerasimos Theotokatos. Performance and Reliability Monitoring of Ship Hybrid Power Plants. JEMS Maritime Sci. 2022; 10(1): 29-38

Corresponding Author: Charalampos Tsoumpris, United Kingdom
Manuscript Language: English
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