Research Article

Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks

Volume: 1 Number: 1 June 30, 2021

Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks

Abstract

In this study, performance and emission predictions of four stroke, naturally aspirated, water cooled single cylinder diesel engine were carried out with created artificial neural networks. Partial load experiments of the engine have been conducted and power, specific fuel consumption values and CO2, CO, NOx emissions were recorded. Obtained values were used in modeling studies. In the study, 59 data were used, 80% of this data was used as training and 20% as test data. The data are modeled with multi layer, Back-Propagation (BP) and Radial Basis Function artificial neural network. According to the results obtained, the model predictions are consistent with the experimental results and it has been observed that emission, power and specific fuel consumption can be predicted with limited data of the engine such as speed and load. Also, best results for estimation of emissions as one of the most important problems of diesel engines, are obtained from BP compared to RBF.

Keywords

References

  1. [1] A. Ekmekçioğlu, S. L. Kuzu, K. Ünlügençoğlu, and U. B. Çelebi, “Assessment of shipping emission factors through monitoring and modelling studies,” The Science of the total environment, vol. 743, 2020.
  2. [2] M. T. Islam, F. Rashid, and A. Arefin, “Numerical analysis of the performance and NOx emission of a diesel engine fueled with algae biofuel-diesel blends,” Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2021.
  3. [3] G. Gonca, “Investigation of the influences of steam injection on the equilibrium combustion products and thermodynamic properties of bio fuels (biodiesels and alcohols),” Fuel, vol. 144, pp. 244–258, 2015.
  4. [4] G. Gonca, “Effects of engine design and operating parameters on the performance of a spark ignition (SI) engine with steam injection method (SIM),” Applied Mathematical Modelling, vol. 44, pp. 655–675, Apr. 2017.
  5. [5] M. K. Deh Kiani, B. Ghobadian, T. Tavakoli, A. M. Nikbakht, and G. Najafi, “Application of artificial neural networks for the prediction of performance and exhaust emissions in SI engine using ethanol- gasoline blends,” Energy, vol. 35, no. 1, pp. 65–69, 2010.
  6. [6] B. Maaß, R. Stobart, and J. Deng, “Diesel engine emissions prediction using parallel neural networks,” Proceedings of the American Control Conference, pp. 1122–1127, 2009.
  7. [7] H. Sevinc and H. Hazar, “Determining the effects of 2-ethylhexyl nitrate blend on isolated diesel engine attributes using the experimental and ANN approaches,” Energy Sources, Part A: Recovery, Utilization and Environmental Effects, 2019.
  8. [8] Q. Zhang and D. Tian, “Study of CWS/diesel dual fuel engine emissions by means of RBF neural network,” in Asia-Pacific Power and Energy Engineering Conference, APPEEC, 2010.

Details

Primary Language

Turkish

Subjects

Maritime Engineering

Journal Section

Research Article

Authors

Cenk Kaya This is me
Palestine

Publication Date

June 30, 2021

Submission Date

June 6, 2021

Acceptance Date

-

Published in Issue

Year 2021 Volume: 1 Number: 1

APA
Kaya, C., & Elçiçek, H. (2021). Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks. Journal of Marine and Engineering Technology, 1(1), 24-33. https://izlik.org/JA42MP78SL
AMA
1.Kaya C, Elçiçek H. Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks. JOINMET. 2021;1(1):24-33. https://izlik.org/JA42MP78SL
Chicago
Kaya, Cenk, and Hüseyin Elçiçek. 2021. “Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks”. Journal of Marine and Engineering Technology 1 (1): 24-33. https://izlik.org/JA42MP78SL.
EndNote
Kaya C, Elçiçek H (June 1, 2021) Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks. Journal of Marine and Engineering Technology 1 1 24–33.
IEEE
[1]C. Kaya and H. Elçiçek, “Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks”, JOINMET, vol. 1, no. 1, pp. 24–33, June 2021, [Online]. Available: https://izlik.org/JA42MP78SL
ISNAD
Kaya, Cenk - Elçiçek, Hüseyin. “Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks”. Journal of Marine and Engineering Technology 1/1 (June 1, 2021): 24-33. https://izlik.org/JA42MP78SL.
JAMA
1.Kaya C, Elçiçek H. Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks. JOINMET. 2021;1:24–33.
MLA
Kaya, Cenk, and Hüseyin Elçiçek. “Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks”. Journal of Marine and Engineering Technology, vol. 1, no. 1, June 2021, pp. 24-33, https://izlik.org/JA42MP78SL.
Vancouver
1.Cenk Kaya, Hüseyin Elçiçek. Modeling of Diesel Engine Performance and Emission Using Artificial Neural Networks. JOINMET [Internet]. 2021 Jun. 1;1(1):24-33. Available from: https://izlik.org/JA42MP78SL