Cruise ship optimal power plants design identification and quantitative safety assessment

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

Abstract

The stringent regulatory framework for both emissions and safety as well as the market pressure to reduce the operational costs led the cruise ship industry to pursue alternative solutions. In this respect, multi-objective optimisation methods can be employed for decision-making for identifying optimal solutions with improved efficiency, lower environmental footprint, lifecycle cost as well as a safety level during the ship design phase. In this study, the optimal power plant solutions for an existing cruise ship are compared in terms of their Probability of Blackout (PoB). For this purpose, a novel power plant bi-objective optimisation method has been used whilst considering an actual cruise ship operational profile, a number of design parameters and alternative configurations. Then a Combinatorial Approach for Safety Assessment (CASA) that includes System-Theoretic Process Analysis, Event Sequence Identification and Fault Tree Analysis whilst taking into account a number of design parameters and historical data has been employed to estimate and
compare PoB for derived optimal cruise ship power plant configurations. The results demonstrate that the cruise ship power plant configurations with dual fuel engines exhibit lower lifecycle cost and lifetime CO2 emissions. Furthermore, the results demonstrate that power plant configurations with lower redudancy can have similar PoB.
LanguageEnglish
Title of host publicationProceedings of MOSES 2019 2nd International Conference on Modelling and Optimisation of Ship Energy Systems
Place of PublicationGlasgow
PublisherUniversity of Strathclyde
Pages55-63
Number of pages9
ISBN (Electronic)9781909522510
Publication statusPublished - 8 May 2019
Event2nd International Conference on Modelling and Optimisation of Ship Energy Systems - Glasgow, United Kingdom
Duration: 8 May 201910 May 2019
http://130.159.17.33/MOSES2019/

Conference

Conference2nd International Conference on Modelling and Optimisation of Ship Energy Systems
Abbreviated titleMOSES 2019
CountryUnited Kingdom
CityGlasgow
Period8/05/1910/05/19
Internet address

Fingerprint

Power plants
Ships
Dual fuel engines
Costs
Fault tree analysis
Multiobjective optimization
Decision making
Industry

Keywords

  • cruise ships
  • diesel-electric propulsion
  • blackout
  • optimisation

Cite this

Bolbot, V., Trivyza, N., Theotokatos, G., Boulougouris, E., Rentizelas, A., & Vassalos, D. (2019). Cruise ship optimal power plants design identification and quantitative safety assessment. In Proceedings of MOSES 2019 2nd International Conference on Modelling and Optimisation of Ship Energy Systems (pp. 55-63). Glasgow: University of Strathclyde.
Bolbot, Victor ; Trivyza, Nikoletta ; Theotokatos, Gerasimos ; Boulougouris, Evangelos ; Rentizelas, Athanasios ; Vassalos, Dracos. / Cruise ship optimal power plants design identification and quantitative safety assessment. Proceedings of MOSES 2019 2nd International Conference on Modelling and Optimisation of Ship Energy Systems. Glasgow : University of Strathclyde, 2019. pp. 55-63
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title = "Cruise ship optimal power plants design identification and quantitative safety assessment",
abstract = "The stringent regulatory framework for both emissions and safety as well as the market pressure to reduce the operational costs led the cruise ship industry to pursue alternative solutions. In this respect, multi-objective optimisation methods can be employed for decision-making for identifying optimal solutions with improved efficiency, lower environmental footprint, lifecycle cost as well as a safety level during the ship design phase. In this study, the optimal power plant solutions for an existing cruise ship are compared in terms of their Probability of Blackout (PoB). For this purpose, a novel power plant bi-objective optimisation method has been used whilst considering an actual cruise ship operational profile, a number of design parameters and alternative configurations. Then a Combinatorial Approach for Safety Assessment (CASA) that includes System-Theoretic Process Analysis, Event Sequence Identification and Fault Tree Analysis whilst taking into account a number of design parameters and historical data has been employed to estimate andcompare PoB for derived optimal cruise ship power plant configurations. The results demonstrate that the cruise ship power plant configurations with dual fuel engines exhibit lower lifecycle cost and lifetime CO2 emissions. Furthermore, the results demonstrate that power plant configurations with lower redudancy can have similar PoB.",
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Bolbot, V, Trivyza, N, Theotokatos, G, Boulougouris, E, Rentizelas, A & Vassalos, D 2019, Cruise ship optimal power plants design identification and quantitative safety assessment. in Proceedings of MOSES 2019 2nd International Conference on Modelling and Optimisation of Ship Energy Systems. University of Strathclyde, Glasgow, pp. 55-63, 2nd International Conference on Modelling and Optimisation of Ship Energy Systems, Glasgow, United Kingdom, 8/05/19.

Cruise ship optimal power plants design identification and quantitative safety assessment. / Bolbot, Victor; Trivyza, Nikoletta; Theotokatos, Gerasimos; Boulougouris, Evangelos; Rentizelas, Athanasios; Vassalos, Dracos.

Proceedings of MOSES 2019 2nd International Conference on Modelling and Optimisation of Ship Energy Systems. Glasgow : University of Strathclyde, 2019. p. 55-63.

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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AU - Vassalos, Dracos

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Bolbot V, Trivyza N, Theotokatos G, Boulougouris E, Rentizelas A, Vassalos D. Cruise ship optimal power plants design identification and quantitative safety assessment. In Proceedings of MOSES 2019 2nd International Conference on Modelling and Optimisation of Ship Energy Systems. Glasgow: University of Strathclyde. 2019. p. 55-63