A modelling technique of the intake and exhaust systems of a medium speed marine diesel engine

2020 ◽  
Author(s):  
Van Viet Pham ◽  
Van Vang Le
Author(s):  
Harsh D. Sapra ◽  
Jaswinder Singh ◽  
Chris Dijkstra ◽  
Peter De Vos ◽  
Klaas Visser

Abstract Underwater exhaust systems are employed on board ships to allow zero direct emissions to the atmosphere with the possibility of drag reduction via exhaust gas lubrication. However, underwater expulsion of exhaust gases imparts high and dynamic back pressure, which can fluctuate in amplitude and time period as a ship operates in varying sea-states depending on its geographical location and weather conditions. Therefore, this research aims to experimentally investigate the performance of a marine diesel engine against varying amplitudes and time periods of dynamic back pressure at different sea-states due to underwater exhaust systems. In this study, a turbocharged, marine diesel engine was tested at different loads along the propeller curve against dynamic back pressure waves produced by controlling an electronic butterfly valve placed in the exhaust line after the turbine outlet. Engine performance was investigated against single and multiple back pressure waves of varying amplitudes and wave periods based on real sea-state conditions and wave data. We found that the adverse effects of dynamic back pressure on engine performance were less severe than those found against static back pressure. Governor control and turbocharger dynamics play an important role in keeping the fuel penalty and thermal loading low against dynamic back pressure. Therefore, a marine engine may be able to handle much higher levels of dynamic back pressures when operating with underwater exhaust systems in higher sea-states.


Fuel ◽  
2016 ◽  
Vol 186 ◽  
pp. 456-465 ◽  
Author(s):  
L. Ntziachristos ◽  
E. Saukko ◽  
K. Lehtoranta ◽  
T. Rönkkö ◽  
H. Timonen ◽  
...  

2011 ◽  
Vol 46 (1) ◽  
pp. 127-132 ◽  
Author(s):  
Zhide Xu ◽  
Sumito Nishio ◽  
Masaru Ikame ◽  
Eiko Ishimura ◽  
Magoshiro Kuwabara

2013 ◽  
Vol 291-294 ◽  
pp. 1920-1924
Author(s):  
Min Xiao ◽  
Hui Chen

The KIVA-3V program was used to make numerical simulation for L21/31 type of medium-speed marine diesel engine about the NOx emissions and the affection of NOx changing process on different variable parameters under the Tier Ⅱstandard. On this basis, a discussion towards the NOx emission of the model fueling with dimethyl ether (DME) to meet the Tier Ⅲ standard is offered. The results show that reducing the intake temperature, load and speed, postponing the fuel injection timing and intake lag angle properly can decrease the NOx emissions within the limits of NOx in TierⅡ standard. Comparing the results of the numerical simulation of DME and diesel fuel, the NOx emission of the former one is 60.85% of the latter one, and the NOx emission of changing variable parameters on DME engine is 35.56% of the original type of diesel engine, very close to the Tier Ⅲ.


2010 ◽  
Vol 2010.16 (0) ◽  
pp. 371-372
Author(s):  
Zhide XU ◽  
Sumito NISHIO ◽  
Masaru IKAME ◽  
Magoshiro KUWABARA

2014 ◽  
Vol 1070-1072 ◽  
pp. 1785-1789
Author(s):  
Lei Guo ◽  
Zai Zhong Wang ◽  
Hong Zhao Lin

To predict accurately the fuel consumption rate of a diesel engine, based on polynomial fitting curve method, combined with the test data of XCW6200ZC medium speed marine diesel engine used for inland ships, a diesel engine fuel consumption model about characteristic coefficient and speed under the propulsion characteristic was established. The marine diesel engine fuel consumption were calculated and predicted through this model. The results showed that the model can predict the fuel consumption of diesel engine well.


1978 ◽  
Vol 192 (1) ◽  
pp. 371-376 ◽  
Author(s):  
G. Goodwin ◽  
R. Holmes

This paper describes research involving the measurement of oil-film thickness in a large end bearing of a medium-sized medium-speed marine diesel engine. The design of the transducer and its novel signal conditioning circuitry is discussed. Comparisons are made between the measured results and numerical predictions.


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