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Sandi Baressi ?egota, Vedran Mrzljak, Nikola Andelic, Igor Poljak and Zlatan Car
Machine learning applications have demonstrated the potential to generate precise models in a wide variety of fields, including marine applications. Still, the main issue with ML-based methods is the need for large amounts of data, which may be impractic...
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Vedran Mrzljak, Igor Poljak, Mate Kosor and Jelena Culin
The commingling of the two types of heavy fuel oils (fuel remaining in the tanks and fuel loaded) is determined by the company?s guidance and safety management system. Remained heavy fuel oil must be distributed in the heavy fuel oil tanks before bunkeri...
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Ivan Gospic, Ivica Glavan, Igor Poljak and Vedran Mrzljak
The paper discusses the possibility of applying the trigeneration energy concept (cogeneration + absorption cooling) on diesel-powered refrigerated ships, based on systematic analyses of variable energy loads during the estimated life of the ship on a pr...
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Nikola Andelic, Sandi Baressi ?egota, Ivan Lorencin, Igor Poljak, Vedran Mrzljak and Zlatan Car
In this paper, the publicly available dataset for the Combined Diesel-Electric and Gas (CODLAG) propulsion system was used to obtain symbolic expressions for estimation of fuel flow, ship speed, starboard propeller torque, port propeller torque, and tota...
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Igor Poljak, Toni Bielic, Vedran Mrzljak and Josip Orovic
The atmospheric drain condensate system of a marine steam power plant is described and evaluated from the energetic and exergetic point of view at a conventional liquefied natural gas (LNG) carrier. Energy loss and exergy destruction rate were calculated...
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