A decision-making approach for the health-aware energy management of ship hybrid power plants

Tsoumpris, Charalampos and Theotokatos, Gerasimos (2023) A decision-making approach for the health-aware energy management of ship hybrid power plants. Reliability Engineering and System Safety, 235. 109263. ISSN 0951-8320 (https://doi.org/10.1016/j.ress.2023.109263)

[thumbnail of Tsoumpris-Theotokatos-RESS-2023-A-decision-making-approach-for-the-health-aware]
Preview
 Text. Filename: Tsoumpris_Theotokatos_RESS_2023_A_decision_making_approach_for_the_health_aware.pdf
Final Published Version
License: Creative Commons Attribution 4.0 logo
Download (1MB)| Preview

Abstract

Although autonomous shipping has attracted increasing interest, its further develop-ment requires innovative solutions to operate autonomous ships without the direct in-tervention of human operators. This study aims to develop a health-aware energy management (HAEM) approach for ship hybrid power plants, integrating the health monitoring information from reliability tools with the energy management tools. This approach employs the equivalent consumption minimisation strategy (ECMS) along with a Dynamic Bayesian network (DBN), as well as the utopia decision-making meth-od and a model for the ship hybrid power plant. The HAEM approach is demonstrated for a parallel hybrid power plant of a pilot boat considering realistic operating profiles. The results demonstrate that by employing HAEM approach for the investigated ship power plant operating for 300 hours reduces its failure rate almost fourfold at the cost of fuel consumption increase of around 1.5 %, compared to the respective operation with the ECMS. This study is expected to contribute towards the development of su-pervisory control of autonomous power plants.

ORCID iDs

Tsoumpris, Charalampos ORCID logoORCID: https://orcid.org/0000-0002-2808-9858 and Theotokatos, Gerasimos ORCID logoORCID: https://orcid.org/0000-0003-3547-8867;
  • Item type:Article
    ID code:84869
    Dates:
    Date
    Event
    31 July 2023
    Published
    20 March 2023
    Published Online
    17 March 2023
    Accepted
    Keywords:hybrid power plant, system reliability, energy management, dynamic Bayesian network, autonomous operations, Naval architecture. Shipbuilding. Marine engineering, Applied Mathematics, Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality, SDG 13 - Climate Action, SDG 14 - Life Below Water, SDG 3 - Good Health and Well-being
    Subjects:Naval Science > Naval architecture. Shipbuilding. Marine engineering
    Department:Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering
    Depositing user: Pure Administrator
    Date deposited:23 Mar 2023 11:43
    Last modified:21 May 2023 03:49
    URI:https://strathprints.strath.ac.uk/id/eprint/84869
CORE (COnnecting REpositories)