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EN
The increasing use of automation in fishing vessels has improved trawling efficiency while directly affecting the fishing capacity and cost of fishing vessels. Among the various influencing factors, warp tension and warp length can be varied to automatically balance the retraction and release of warp control. We combined the two parameters and independently designed and developed the key equipment for fishing vessels—the warp dynamometer and meter counter—and control software. The accuracy of the warp tension and length measurements was improved. The designed equipment was applied to sea trials under different working conditions, and the test data records were exported. Next, filtered time-domain graphs of the required parameters were plotted through complex Fourier transform, first-order lowpass filtering, and inverse Fourier transform. The results of data processing using various parameters were compared and analysed to determine the variation trends of the parameters and verify the effects of their balance control. The results indicated that using an automatic balance control system that combines warp tension and warp length can be effective for the fishing operation of offshore double-deck trawlers. In addition, first-order low-pass filtering can be used to filter complex warp tension data. This study also determined the relationship between warp tension and experimental parameters such as warp length and ship speed during the release of control. After the balance control of warp tension and warp length, the net mouth area increased by 30.7% and 36.5%, respectively, and the fishing efficiency of the vessel improved considerably.
EN
This paper deals with the results of studying the effect of trim on the performance of series cargo ship 12500DWT in full scale at two operating conditions by using the RANSE method. The Body Force Propeller method is used to simulate a rotating propeller behind the ship. The numerical predicted results at the ballast condition were verified and validated with sea trial data. The ship’s engine power curves for different trim conditions at two operating conditions were carried out to produce a data source to evaluate the effect of trim on the performance of the 12500DWT cargo ship. The results indicate that if the ship operates under optimum trim conditions, this can decrease the ship’s engine power in a range from 2.5 to 4.5% depending on different loading conditions and ship speeds. Finally, the paper also provides detailed differences in flow around the ship due to trim variation to explain the physical phenomenon of changing ship performance.
EN
Decision support systems (DSS) recently have been increasingly in use during ships operation. They require realistic input data regarding different aspects of navigation. To address the optimal weather routing of a ship, which is one of the most promising field of DSS application, it is necessary to accurately predict an actually attainable speed of a ship and corresponding fuel consumption at given loading conditions and predicted weather conditions. In this paper, authors present a combined calculation method to predict those values. First, a deterministic modeling is applied and then an artificial neural network (ANN) is structured and trained to quickly mimic the calculations. The sensitivity of the ANN to adopted settings is analyzed as well. The research results confirm a more than satisfactory quality of reproduction of speed and fuel consumption data as the ANN response meet the calculation results with high accuracy. The ANN-based approach, however, requires a significantly shorter time of execution. The directions of future research are outlined.
EN
During ship operation, one of the most important tasks is forecasting the ocean route. One of the criteria for forecasting is the minimum fuel consumption. Fuel consumption and associated emissions are also very important for other criteria. In common use, as well as in various publications, the results of calculations of fuel consumption obtained from simplified algorithms are presented. The article presents a mathematical model for calculating fuel consumption for a floating vessel in various weather conditions. In this model different criteria for controlling the propulsion engine were used by changing the fuel dose. The results of the calculations included include: fuel consumption, power of the propulsion engine and operating speed of the ship in varying weather conditions
EN
While operating the ship, one of the most important tasks is forecasting the ocean route. For this purpose, the speed characteristics of the ship are used, which are used in specialized computer systems and presented in publications. However, published algorithms for speed (or decrease of speed) calculations of a ship in real weather conditions on given routes are very simplified and do not contain all the relevant parameters related to the ship's hull (affecting its resistance when sailing, eg on waves), its propulsion and weather conditions. The article presents its own, more detailed mathematical model of the speed of the ship, and the performed calculations of speed of the ship were compared with the algorithms available in the literature and with the records from the ship's log.
EN
While operating the ship, one of the most important tasks is forecasting the ocean route. The vessel's speed characteristics are used to predict the route. Commonly used are very simplified algorithms for calculating those characteristics in which only a few basic ship parameters are used. The article presents a more detailed mathematical model for forecasting the speed of the ship in real weather conditions. This model requires more detailed geometric data of the ship and its propulsion (propeller and propulsion engine), but this data is available for operating ships.
EN
During operation of the ship, fuel consumption and associated emissions are very important for economic and ecological reasons. The fuel consumption is greatly influenced by the choice of shipping route, weather conditions on these routes and engine control criteria. The article presents its own algorithm for forecasting ship operation parameters, including fuel consumption on selected shipping routes for average, statistical (seasonal) weather parameters occurring on these routes. It shows what factors have the main impact on fuel consumption and how you can affect fuel consumption during the cruise in changing weather conditions.
EN
Since 2013 Energy Efficiency Design Index (EEDI) for new ships will be enforced. Ships meeting the CO2 emission standards will be granted energy certificate required for their exploitation. The paper presents EEDI in the current form and influence of the ship speed and decrease of the ship speed on EEDI.
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