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Original scientific paper

https://doi.org/10.21278/brod70301

DETERMINATION OF AN OPTIMAL FLEET FOR A CNG TRANSPORTATION SCENARIO IN THE MEDITERRANEAN SEA

Francesco Mauro orcid id orcid.org/0000-0003-3471-9411 ; Department of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste (Italy)
Luca Braidotti orcid id orcid.org/0000-0003-0255-6822 ; Department of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste (Italy)
Giorgio Trincas ; Department of Engineering and Architecture, University of Trieste, Via Valerio 10, 34127 Trieste (Italy)


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Abstract

For the natural gas transportation, several technologies can be applied, having different effectiveness and costs depending on the analysed case. The Mediterranean Sea is presenting a typical scenario where compressed natural gas (CNG) transportation is particularly attractive compared to liquefied natural gas (LNG) and pipelines, not only for stranded gas shipping but also for transportations cases where CNG is usually representing the most economically convenient solution. Approaching the design of a CNG ship is not an easy task, since the pressure vessel (PV) technology is strongly influencing the ship layout and hull form. Here an enhanced conceptual design method is adopted; taking into account the economic-financial issues together with logistics, in order to determine the best fleet composition selecting the best ships for the selected scenario. The ships composing the fleet are supposed to load/offload the natural gas on buoys; hence, dynamic positioning (DP) will also be considered as an attribute in the evaluation of alternative designs. As final outcome of the enhanced concept design process it will be possible to speed up drawing of the preliminary lines plan and general arrangement plan of the sister ships composing the fleet.

Keywords

CNG transportation; Conceptual design; Optimal fleet composition; Dynamic positioning; Shipping tariff

Hrčak ID:

220340

URI

https://hrcak.srce.hr/220340

Publication date:

30.9.2019.

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