000010643 001__ 10643
000010643 005__ 20240531171549.0
000010643 0247_ $$2doi$$a10.24868/10643
000010643 037__ $$aGENERAL
000010643 245__ $$aImplementation of Ship Hybridisation: Sizing a Hybrid Crew Transfer Vessel Considering Uncertainties
000010643 269__ $$a2022-07-25
000010643 336__ $$aConference Proceedings
000010643 520__ $$aInterest in ship hybridization has increased as a result of policies to combat climate change and boost energy independence. However, designing and optimizing hybrid propulsion systems is a challenging task. The availability of numerous power, propulsion, and energy system topologies with different energy storage and conversion technologies presents a significant challenge. In this paper, the optimum sizing of various components and systems in a CTV is thoroughly investigated. The appropriate sizing of a maritime vessel depends on energy management and control, making optimization and retrofitting a complex problem. Thus, this paper develops a method to select a power, propulsion, and energy system architecture and optimize the power and energy ratings of the components. The operational profile and various system structures make up the system's input. The technique provides optimized system architecture and contains the data required for vessel retrofitting. Optimization criteria include cost, fuel volume, propulsion system rating, and other sustainability factors. The proposed approach incorporates the price of fuel and electricity as an uncertainty element. As a result, the developed strategy can assist ship owners in deciding whether and when to retrofit their vessels as well as the optimum design for doing so at the chosen moment. In addition, it takes into account the effects of the GHG emission reduction measures, which can lead to a more practical solution.
000010643 542__ $$fCC-BY
000010643 6531_ $$aShip Hybridisation
000010643 6531_ $$aMarine Power System
000010643 6531_ $$aOffshore Support Vessel
000010643 6531_ $$aPower System Sizing
000010643 6531_ $$aDesign Uncertainty
000010643 7001_ $$aKaragiorgis, S$$uDelft University of Technology
000010643 7001_ $$aNasiri, S$$uDelft University of Technology
000010643 7001_ $$aPolinder, H$$uDelft University of Technology
000010643 773__ $$tConference Proceedings of INEC
000010643 773__ $$jINEC 2022
000010643 85641 $$uhttps://www.imarest.org/events/category/categories/imarest-event/international-naval-engineering-conference-and-exhibition-2022$$yConference website
000010643 8564_ $$9d66d7715-0e60-46a6-85c6-776bb861620f$$s1464007$$uhttps://library.imarest.org/record/10643/files/INEC_2022_paper_49.pdf
000010643 980__ $$aConference Proceedings