The goal of the paper is to focus on the problem of emission of harmful compounds e.g. NOx, SOx and CO2 from seagoing ships to environment. The VI Amendment to MARPOL Convention concerning prevention against air pollution by seagoing ships, brought into practice in May 19th 2005, forced ship owners to use means for reduction of environment harmful substances emission to atmosphere. They may comprise construction and operating methods. Energy Efficiency Design Index (EEDI) is one of the tools enabling implementation of the above-mentioned regulations, compulsory to all new design and build ships. However, for units already in operation, the problem requires a different approach. The article presents various methods of reduction of toxic substances and CO2 by seagoing vessels in order to adapt to the requirements of the Convention and other legal regulations in this regard. As an example, the analysis has been presented concerning possibilities of adjustability of cruise ferries and Ro-Ro vessels operating on the Baltic Sea to the requirements of Annex VI of the MARPOL Convention. Some possible solutions have been shown focusing on selection of system of combustion of hydro-fuel emulsion in main drive engine. Article contains description of introducing water to the combustion chamber methods and water influence on the combustion process.
The paper presents the method of estimated main propulsion power, electrical power and auxiliary steam delivery of the modern ro-ro vessels by using statistical method of calculations. The statistical researches were executed to determine dependencies among the main propulsion power, electric power and heating power as a function of selected basic ship parameters. The reference list of the modern ro-ro vessels was used in the analysis. The chosen ships were selected mainly from the studies of The Royal Institution of Naval Architects elaborated by the most eminent authors of the world shipping enterprise running their articles in a years issue SIGNIFICANT SHIPS OF YEAR. The chosen as the independent variables are the ship parameters being in a logical connection with the main propulsion power, electrical power and steam production of the vessel. Regression analyses were executed by means of the least squares method. Each determined formula was subjected to the statistical verification and the correlation coefficient between the obtained formula and analysed input data was determined.
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