The NOx emission estimation by the artificial neural network: the results

• Autorzy: Kowalski J.
• Języki publikacji: EN

Abstrakty

EN

The paper presents the preliminary investigations of nitric oxides (NOx) estimation from marine two-stroke engines. The Annex VI to Marpol Convention enforce to ship - owners necessity of periodical direct measurements of the NOx emission from the ship engines. It is very expensive procedure but with a low accuracy. Presented investigations show the possibility of estimation the NOx emission without direct measurements but using the artificial neural network (ANN). The paper presents chosen structures of ANN's usable to NOx emission estimation, the laboratory investigations and effects of estimation NOx emission. The paper reports the effects of investigations during different points of load the engine, with constant and changeable air/fuel equivalence ratio. The detailed results of measurement and calculation of NOx concentration in the exhaust gases of marine two-stroke diesel engine were presented. The results show that the multilayer perception neural network (MLP) is sufficient to NOx emission estimation during onboard exploitation. The MLP network with 15 neurons in the hidden layer has best accuracy for data sets collected during running the engine with speed equal 200 rpm and constant air/fuel equivalence ratio and for both considered speeds of the engine with changeable air/fuel equivalence ratio.

Słowa kluczowe

EN

emission; NOx; nitric oxides; ANN; artificial neural network; perception; ship diesel engine

• Wydawca: Łukasiewicz Research Network - Institute of Aviation ; European Science Society of Powertrain and Transport KONES Poland ; Wydawnictwo Instytutu Technicznego Wojsk Lotniczych
• Czasopismo: Journal of KONES
• Rocznik: 2008
• Tom: Vol. 15, No. 4
• Strony: 269--276
• Opis fizyczny: Bibliogr. 4 poz., rys.

Twórcy

autor

Kowalski J.

• Gdynia Maritime University Department of Engineering Sciences Morska Street 81-87, 81-225 Gdynia, Poland tel.[phone], fax: [phone],

Bibliografia

• [1] Interim Guidelines for the Application of the NOx Technical Code, IMO News, No. 1. 2000. pp. 6.
• [2] Kowalski, J., The NOx emission estimation by artificial neural network: the analyze, Journal of KONES, Vol. 15, Warsaw 2008.
• [3] Kowalski, J., Tarelko ,W., Nitric Oxides emission estimation based on measuring of work parameters of ship two-stroke engine, Proceedings of 2nd International Conference on Marine Research and Transportation. Ischia Naples Italy. 2007. Session C.
• [4] Heywood, J. B., Internal Combustion Engine Fundamentals, McGraw-Hill 1988.