scholarly journals Research on Main Engine Power of Transport Ship with Different Bows in Ice Area According to EEDI Regulation

2021 ◽  
Vol 9 (11) ◽  
pp. 1241
Author(s):  
Yu Lu ◽  
Zhuhao Gu ◽  
Shewen Liu ◽  
Chunxiao Wu ◽  
Wu Shao ◽  
...  

The Energy Efficiency Design Index (EEDI) has been applied to ship carbon emission standards since 2013, ice ships subject to the Finnish Swedish Ice Class Rules (FSICR) also need to meet the requirements of EEDI. In this study, the engine power requirements by EEDI at different stages for the considered ice class ships with different ice classes (1C, 1B, 1A, 1A Super) are compared with engine power requirements obtained from the resistance calculated by FSICR or Lindqvist method. Three different bow shapes for the considered ice class ships and different pack ice coverage are studied. The results from FSICR or Lindqvist formula show that 1A Super ice classes for all considered bow shapes cannot meet the requirement by EEDI at Phase 2 and 3; For 1B and 1A class, some bow shapes can meet the EEDI requirement for all stages, but some cannot; For 1C class, all bow shapes can meet the EEDI requirements for all stages. The ship main engine power requirements under different pack ice concentration are studied and compared to EEDI requirements.

2020 ◽  
Vol 5 (3) ◽  
pp. 33-48
Author(s):  
Roman M. Radchenko1 ◽  
◽  
Dariusz Mikielewicz2 ◽  
Mykola I. Radchenko1 ◽  
Victoria S. Kornienko1 ◽  
...  

The efficiency of cooling the air at the inlet of marine slow speed diesel engine turbocharger by ejector chiller utilizing the heat of exhaust gases and scavenge air were analyzed. The values of air temperature drop at the inlet of engine turbocharger and corresponding decrease in fuel consumption of the engine at varying climatic conditions on the route line Odesa-Yokogama- Odesa were evaluated.


Polar Record ◽  
2007 ◽  
Vol 43 (4) ◽  
pp. 305-310 ◽  
Author(s):  
Lisa M. Ballagh ◽  
Mark A. Parsons ◽  
Ross Swick

ABSTRACTThe United States National Snow and Ice Data Center (NSIDC) initiated an outreach project to enhance the visibility of and interest in cryospheric images. Methods were utilised to convert cryospheric data into a projection and image format compatible with Google Earth™. The word ‘image’ should be emphasised since raster data in a native polar projection and format cannot be overlaid on the Earth without prior data conversions. The project focused on reaching out to a diverse audience by integrating images from key components of the cryosphere into a single compressed Keyhole Markup Language (KMZ) file. As a result, users can visualise glacier photographs, permafrost type and extent, sea ice concentration and extent, and snow extent superimposed on the Earth. Those interested in browsing the NSIDC collection of over 3,000 glacier photographs have the option of zooming into Alaska for a majority of the images and accessing both the photograph and the associated metadata. For a current perspective of global snow and ice coverage, one could look at satellite imagery derived from passive microwave Special Sensor Microwave/Imager (SSM/I) data. Another option is to select the permafrost layer and observe the various types and extent of permafrost. This paper explores the project by describing the data, methodologies and results and concludes with future implications on how to improve the processing and functionality of polar data in Google Earth.


Author(s):  
John W Chew ◽  
Feng Gao ◽  
Donato M Palermo

This paper presents a review of research on turbine rim sealing with emphasis placed on the underlying flow physics and modelling capability. Rim seal flows play a crucial role in controlling engine disc temperatures but represent a loss from the main engine power cycle and are associated with spoiling losses in the turbine. Elementary models that rely on empirical validation and are currently used in design do not account for some of the known flow mechanisms, and prediction of sealing performance with computational fluid dynamics has proved challenging. Computational fluid dynamics and experimental studies have indicated important unsteady flow effects that explain some of the differences identified in comparing predicted and measure sealing effectiveness. This review reveals some consistency of investigations across a range of configurations, with inertial waves in the rotating flow apparently interacting with other flow mechanisms which include vane, blade and seal flow interactions; disc pumping and cavity flows; shear layer and other instabilities; and turbulent mixing.


2018 ◽  
Vol 11 (6) ◽  
pp. 1109-1122 ◽  
Author(s):  
Mufaddel Dahodwala ◽  
Satyum Joshi ◽  
Erik W. Koehler ◽  
Michael Franke ◽  
Dean Tomazic

1997 ◽  
Vol 43 (143) ◽  
pp. 122-130 ◽  
Author(s):  
Gerd Wendler ◽  
Ute Adolphs ◽  
Adrian Hauser ◽  
Blake Moore

AbstractThe surface energy budget was investigated during a cruise through the pack ice in the Southern Ocean. The time of observation was close to mid-summer. Some of the more important findings were: The mean albedo varied from 11 % for open water to 59% for 10/10 ice cover. Hourly values span the range from 6% (open water) to 76% (total ice cover).The net heat flux into the ocean (B) was on average 109 W m−2, If this energy were used solely for melting of sea ice, 30 mm could be melted each day.For low surface albedos (ice concentration below 7/10), the net radiation increased with decreasing cloudiness. However, the opposite was the case for a high surface albedo. The last point shows the importance of clouds on the surface energy budget. Not only should their presence or absence be known but also the reflectivity of the underlying surface, as it might change the net radiation in opposite ways.


Author(s):  
Lokukaluge P. Perera ◽  
Brage Mo ◽  
Leifur Arnar Kristjánsson ◽  
Petter Chr. Jønvik ◽  
Jan Øivind Svardal

Various emission control measures have been introduced in the recent years for improving vessel performance in the shipping industry. That consists of: Energy Efficiency Design Index (EEDI) for new ships and Ship Energy Efficiency Management Plan (SEEMP) and Energy Efficiency Operational Indicator (EEOI) for all ships. These emission control measures enforce the shipping industry to improve operational conditions and to implement modern technology for more energy efficient shipping fleets. Therefore, this study presents preliminary data analysis of a selected vessel for monitoring its performance along the ship routes. The results consist of observing vessel performance under several navigation parameters: ship GPS speed (i.e. speed over the ground), log speed, course, fuel consumption, main and auxiliary engine power, main engine shaft RPM, loading and draft conditions with respect to the route, voyage time and wind conditions. Furthermore, these parameters have been used to analyze potential and optimal energy usage situations in ship navigation with respect to the EEOI, in which represents an important part of the SEEMP.


2019 ◽  
Vol 4 (2) ◽  
pp. 149-157
Author(s):  
Wibowo Harso Nugroho ◽  
Abdul Kadir ◽  
Nanang JH Purnomo ◽  
M. Syaiful ◽  
Ahmad Yasim

With the increase of the Decommisioning Offshore Platform in Indonesia water, a decommisioning vehicle is needed to dismantle and transport the offshore platform. Because of the operation of this vehicle to disassemble offshore platform in various offshore platform locations in Indonesian water, it is necessary to consider the vehicle main engine power by predicting the ship resistance when traveling to the offshore platform location. This paper discusses the results of several numerical prediction methods of resistance that applied on the catamaran ship type. The prediction method used for resistance calculation which based on satistical data and analytical methods from the cylindrical body theory. The resistance prediction on the decommisioning vehicles using maxsurf resistance with various methods at 12 knots service speed shows that Holtrop method produces a resistance value of 250.7 kN, the Van Oortmerssen method produces a resistance value of 955 kN, the Series60 method produces a resistance value of 210.5 kN, the Compton method produces a resistance value of 295.8 kN, the Fung method produces a resistance value of 540.6 kN, method Slender body produces a resistance value of 7036.4 kN, the Wyman method produces a resistance value of 603.2 kN and finally the last method of KR Barge produces a resistance value of 1258.5 kN. This study show that the differences of the result are significant from each of the prediction methods so that testing of the hydrodynamic model is highly recommended.


2019 ◽  
Vol 26 (1) ◽  
pp. 95-101
Author(s):  
Lech Murawski

Abstract The article presents an influence of foundations of slow-speed main engine body on the results of numerical analysis of the engine dynamic stiffnesses and thermal deformations. The engine body is much stiffer than its foundation pads and ship hull (double bottom) – boundary conditions of the engine. Especially for the high power, marine engines, the correct model of the boundary conditions plays a key role during the analyses. Therefore, modelling method of engine foundation (boundary conditions) of that kind of model is essential during the analyses. During shaft line alignment and crankshaft springing analyses, knowledge of dynamic stiffnesses characteristics and thermal displacements of radial (main) bearings is significant. Those data of marine main engine body are difficult to estimate because of lack of available documentation and complicated shape of the engine and ship hull. The article presents the methodology of the characteristics determination of the marine engine's body as well as the example of computations for a MAN B&W K98MC type engine (power: 40000 kW, revolutions: 94 rpm) mounted on a 3000 TEU (twenty-foot container equivalent unit) container ship (length: 250 m). Numerical analyses were performed with usage of Nastran software based on Finite Element Method. The FEM model of the engine body comprised over 800 thousand degree of freedom.


2017 ◽  
Vol 25 (1) ◽  
pp. 42-45
Author(s):  
Żaneta Cepowska ◽  
Tomasz Cepowski

Abstract The paper presents mathematical relationships that allow us to forecast the newbuilding price of new bulk carriers, based on data concerning vessels built in 2005-2015. The presented approximations allow us to estimate the price based on a gross tonnage capacity and a main engine power The approximations were developed using linear regression and the theory of artificial neural networks. The presented relations have practical application for estimation of bulk carrier newbuilding price needed in preliminary parametric design of the ship. It follows from the above that the use of artificial neural networks to predict the price of a bulk carrier brings more accurate solutions than linear regression.


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