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tom nr 4
96--103
EN
The International Maritime Organisation (IMO), in particular, dedicated to the prevention to marine pollution by ships, adopted in 2007 the provisions implementing the Energy Efficiency Design Index (EEDI). The EEDI was implemented as an amendment to the MARPOL Annex VI. The index specifies the technical standards and norms imposed on shipyards, which shall be intended to improve the energy efficiency of certain categories of new ships and vessels, consequently leading to the reduction of CO2 emission by around 25-35 percent till 2030. The paper presents the operational factors affecting fuel consumption and energy efficiency indexes of a ship, the algorithm of verification and certification of the EDDI along with exemplary calculations for a container ship.
EN
Container ship length was estimated using artificial neural networks (ANN), as well as a random search based on Multiple Nonlinear Regression (MNLR). Two alternative equations were developed to estimate the length between perpendiculars based on container number and ship velocity using the aforementioned methods and an up-to-date container ship database. These equations could have practical applications during the preliminary design stage of a container ship. The application of heuristic techniques for the development of a MNLR model by variable and function randomisation leads to the automatic discovery of equation sets. It has been shown that an equation elaborated using this method, based on a random search, is more accurate and has a simpler mathematical form than an equation derived using ANN.
EN
The paper deals with the problem of energy demand for the main propulsion as a function of deadweight and speed for general cargo vessels built in the 60-ties, multi-purpose general cargo vessels built In the 80-ties as well as recently built container vessels. Changes in power of the main propulsion and trends observed in the matter are defined. In the same way the analysies of electric power and boilers capacity are carried out. In the summary conclusions and prognosis concerning energetic plants of general cargo and container vessels are expressed.
EN
Paper discussed important factors affecting handling of ULCS (ultra large container ships) in Port of Gdańsk. In recent years more such vessels had been calling Gdańsk, including new generation of ULCs called Triple-E launched by Maersk. Studies conducted in Maritime University confirmed feasibility of safe handling of such large vessels but pointed to several factors needed to be taken under consideration to provide required safety level for ship handling operations. Author analysed factors responsible for safe handling ULCs in Gdańsk.
PL
W artykule omówiono ważne czynniki wpływające na manewrowanie dużymi kontenerowcami w porcie gdańskim. W ostatnich latach coraz więcej takich statków zawijało do portu w Gdańsku, włączając w to nową generację ultra dużych kontenerowców typu Triple-E, zbudowaną dla firmy Maersk. Badania przeprowadzone na Uniwersytecie Morskim w Gdyni potwierdziły możliwość bezpiecznego manewrowania takimi statkami, ale wskazały na szereg czynników, które powinny być uwzględnione w celu zapewnienia odpowiedniego poziomu bezpieczeństwa operacjom manewrowania statkami. Autorzy przeanalizowali czynniki odpowiedzialne za bezpieczne manewrowanie dużymi kontenerowcami w porcie gdańskim.
PL
W artykule przedstawiono analizę wielkości i jakości zasobów energii odpadowej w aspekcie przydatności w skojarzonej gospodarce energetycznej kontenerowca klasy Malaccamax. Dla dobranego silnika głównego określono strumienie energii odpadowej zawarte w spalinach wylotowych, powietrzu doładowującym, wodzie chłodzącej, oleju smarowym i wypromieniowanym cieple. Zidentyfikowano parametry stanu nośników energii odpadowej. Na ich podstawie obliczono wielkości dostępnych strumieni oraz wskaźniki jakości nośników energii odpadowej w pełnym zakresie obciążeń silnika. W oparciu o uzyskane wyniki oceniono przydatność poszczególnych strumieni ciepła do wykorzystania w skojarzonej gospodarce energetycznej statku. Pokazano ich wpływ na wybór poziomu i konfiguracji układu odzysku energii odpadowej.
EN
This article presents an analysis of quantity and quality of waste energy sources in terms of their usefulness in the cogenerative power system of a Malaccamax container ship series. For a chosen main engine, flows of waste energy have been determined for exhaust gases, charging air, cooling water, lubricating oil and radiated heat. State parameters of waste energy carriers have been identified. On their bases, the values of available flows and determinants of waste energy carrier quality, for the entire range of engine load, were calculated. The obtained results were used for evaluating the usefulness of particular heat flows for the ship cogenerative power system. Their influence on the choice of level and configuration of the waste heat recovery system has been shown.
EN
The paper presents regression formulas that allow us to estimate the final price of new container ships, based on TEU and deadweight capacity, service speed, length between perpendiculars and gross tonnage of container ships built from 2005 to 2015. The formulas were developed using the author’s own method based on curve fitting techniques and regression methods. The study shows that utilising the author’s method to predict the final price could offer greater accuracy solutions than any standard methods presented in literature. This method was implemented properly with ndCurveMaster curve fitting software which was developed by the author and was applied to develop regression equations presented in the article. The formulas presented in the article have practical application for estimation of container ship final price needed in transport studies or preliminary parametric container ship design. These equations refer to the most up to date vessels and offer the chance to advance ship design theory.
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tom nr 48 (120)
171--175
EN
This paper presents mathematical relationships that allow forecast of the estimated sale price of new container ships, based on data concerning vessels built in 2005–2015. The presented approximations allow estimation of the price based on deadweight capacity (DWT) or the number of containers the ship will carry (TEU). The approximations were developed using linear regression and the theory of artificial neural networks. The presented relations have practical relevance in the estimation of container ship sale price needed in transport studies or preliminary parametric design of the ship. It follows from the above that the use of artificial neural networks to predict the price of a container ship brings more accurate solutions than linear regressions.
EN
Design and construction of container ships follow consolidated requirements, with standard consideration of fire management. Indeed, cargo fires can have important consequence on crewmembers and cargoes, as well as impacting coastal zone and marine environment. Innovative strategies include prevention of events and mitigation of consequences. Digital solutions, providing with situational pictures onboard and around the vessel are fundamental for new fire management solutions, seamless and integrated into the vessel IT infrastructure, according to IMO regulations and the recent EMSA CARGOSAFE Report. The assessment of these solutions requires theoretical evaluation, validation activities in simulated environment and demonstration activities in real environments, with use cases to prove feasibility and benefits. This paper, after a review of traditional preventing and mitigating solutions against fire and an analysis of container ships fires, proposes applicable innovative technologies and operational measures, emerging problems for their potential implementation and requirements for virtual and real tests design.
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2024
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tom Vol. 18 No. 1
211--217
EN
In order to adapt to structural changes in world trade, container ship owners have developed their transport services. Thus, the unit transport capacity of container ships has been multiplied by 3 in the space of 20 years. The maritime transport of containers has developed very speedily and there have been changes in the strategies of shipping companies. These giants of the seas, put into service on the maritime trades linking the world's main production and consumption markets, have led to the repositioning of ships on secondary maritime spaces. This is known as cascading. The objective of this paper is to study the impacts on the ports and the maritime network of the Baltic Sea. For this purpose, we will carry out an analysis of the evolution of container ship calls from 2012 to 2020 (number of calls, capacity offered in calls, ...) followed by a graph analysis to study the evolution of the maritime network.
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