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Wyszukujesz frazę "NOx emission" wg kryterium: Temat

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    Wyświetlanie 1-4 z 4
    Tytuł:
    Numerical studies on the influence of air staging on the temperature of flue gas and emission of gases in the combustion chamber of OP 230 boiler
    Autorzy:
    Hernik, B.
    Jagodzińska, K.
    Matuszek, D.
    Powiązania:
    https://bibliotekanauki.pl/articles/185572.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    combustion
    CFD
    emission
    boiler
    NOx
    spalanie
    emisja
    bojler
    Opis:
    The primary methods of reducing nitrogen oxides, despite the development of more advanced technologies, will continue to be the basis for NOx reduction. This paper presents the results of multivariate numerical studies on the impact of air staging on the flue gas temperature and composition, as well as on NOx emissions in a OP 230 boiler furnace. A numerical model of the furnace and the platen superheater was validated based on measurements using a 0-dimensional model of the boiler. Numerical simulations were performed using the ANSYS Workbench package. It is shown that changes in the distribution of air to OFA nozzles, the angle of the air outflow from the nozzles and the nozzle location involve a change in the flue gas temperature and in the volume of NOx and CO emissions at the furnace outlet.
    Źródło:
    Chemical and Process Engineering; 2018, 39, 1; 59--74
    0208-6425
    2300-1925
    Pojawia się w:
    Chemical and Process Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The NOx emission estimation by the artificial neural network: the results
    Autorzy:
    Kowalski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/244752.pdf
    Data publikacji:
    2008
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    emission
    NOx
    nitric oxides
    ANN
    artificial neural network
    perception
    ship diesel engine
    Opis:
    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.
    Źródło:
    Journal of KONES; 2008, 15, 4; 269-276
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    High quality multi-zone and 3d CFD model of combustion in marine diesel engine cylinder
    Autorzy:
    Cuper-Przybylska, Dominika
    Nguyen, Van Nhanh
    Cao, Dao Nam
    Kowalski, Jerzy
    Powiązania:
    https://bibliotekanauki.pl/articles/32921247.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Gdańska. Wydział Inżynierii Mechanicznej i Okrętownictwa
    Tematy:
    CFD combustion model
    large 4-stroke engine
    diesel engine
    emission
    NOx concentration
    Opis:
    The paper presents a 3D model of the processes taking place in the cylinder of a large 4-stroke marine engine. The model is based on CFD calculations performed on the moving mesh. The modelling range includes the full duty cycle (720° crankshaft position) and the complete geometry of the cylinder with inlet and exhaust ducts. The input data, boundary conditions and validation data were obtained by direct measurements on the real object. Fuel injection characteristics were obtained by Mie scattering measurements in a fixed-volume chamber. The modelling results have been validated in terms of the pressure characteristics of the engine’s cylinder within the entire range of its loads. The mean error did not exceed 1.42% for the maximum combustion pressure and 1.13% for the MIP (Mean Indicated Pressure). The model was also positively validated in terms of the O2 and NOx content of the exhaust gas. The mean error in this case was 1.2% for NOx fractions in the exhaust gas and 0.4% for O2 fractions. The complete model data has been made available in the research data repository on an open access basis.
    Źródło:
    Polish Maritime Research; 2023, 2; 61-67
    1233-2585
    Pojawia się w:
    Polish Maritime Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    The NOx emission estimation by the artificial neural network: the analyze
    Autorzy:
    Kowalski, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/244207.pdf
    Data publikacji:
    2008
    Wydawca:
    Instytut Techniczny Wojsk Lotniczych
    Tematy:
    emission
    NOx
    nitric oxides
    ANN
    artificial neural network
    perceptron
    ship diesel engine
    Opis:
    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 method of choice the input data influenced on NOx emission and configuration of ANN and effects of calculations. The input data poses 15 parameters of engine working, influencing on NOx emission. The output data, necessary to learning the network, were NOx concentration in engine exhaust gases. We take into account two types of ANN; the 3-layer perceptron (MLP) with number of neurons in the hidden layer from 10 to 20 and the radial basis function neural network (RBF) with number of neurons in the hidden layer from 10 to 80. The input, validation and verification data was obtained from laboratory tests. After procedure of network configuration, the chosen ANN was learned by back propagation method. During this operation the weights of neurons were changed to minimize the root mean square error. We obtained ANN's, which allow us to estimate the NOx emission from laboratory engine with accuracy, comparable with Annex VI regulations.
    Źródło:
    Journal of KONES; 2008, 15, 2; 225-232
    1231-4005
    2354-0133
    Pojawia się w:
    Journal of KONES
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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