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DESIGN OF NEW CLEAN AND EFFICIENT COMBUSTION MODE AND THERMODYNAMICS RESEARCH USING NSGA-II ALGORITHM

ABSTRACT
In order to study a new clean and efficient combustion mode, which can relieve the pressure of traditional energy and ensure low emissions, in this study, a diesel/natural gas dual fuel engine is designed by non-dominant sorting genetic algorithm (NSGA-Ⅱ), and its thermodynamic characteristics are studied. The WP10.290 Diesel engine is modified into a diesel/natural gas dual fuel engine. The emissions of harmful substances and thermal efficiency of the modified engine under different working conditions are compared. The combustion chamber structure and adaptability between combustion chamber and injection parameters are optimized by using NSGA-II algorithm and CFD software. The results show that the emission of NOx and CH4 and the fuel consumption rate can be reduced simultaneously by using the composite combustion model compared with the original engine. When the CH4 emission is close to zero, the fuel consumption rate decreases obviously, and NOx slightly increases. When the angle between the injection holes is 141.57° the amount of NOx in the cylinder is large. When the injection advance angle is 21.91°CA, the pressure in the cylinder is the highest, the CH4 production is the lowest, the NOx production is higher, and the oxygen content in the combustion mixture is less. The NOx production is the lowest. diesel/natural gas dual fuel engine can ensure efficient combustion while reducing emissions. In this study, the performance of the dual fuel engine at various speeds can be further studied, which can provide theoretical support for the design of diesel/natural gas dual fuel engine.
KEYWORDS
PAPER SUBMITTED: 2019-10-16
PAPER REVISED: 2019-11-29
PAPER ACCEPTED: 2019-12-11
PUBLISHED ONLINE: 2020-01-19
DOI REFERENCE: https://doi.org/10.2298/TSCI191016004S
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2020, VOLUME 24, ISSUE 5, PAGES [2699 - 2706]
REFERENCES
  1. Zhang, X., Zheng, Z., Huang S., et al., Effects of the intake pressure on gasoline low temperature compression ignition. Chinese Internal Combustion Engine Engineering, 39 (2018), 1, pp. 1-7.
  2. Omprakash Kaiwartya, Shiv Prakash, Ahmed Nazar Hassan. Multiple sequence alignment using genetic algorithm and non-dominant sorting genetic algorithm-ii (nsga ii) and variants. Journal of Bioinformatics & Intelligent Control, 3 (2014), 4, pp. 294-299.
  3. Pan, Z., Guo, Y., Zha, S., et al., Aircraft pulsating assembly line balancing problem based on hybrid algorithm. Jisuanji Jicheng Zhizao Xitong/Computer Integrated Manufacturing Systems, CIMS, 24 (2018), 10, pp. 2436-2447.
  4. Curely, J., Rouch, J. Thermodynamics of the 2d-heisenberg classical square lattice part iii. Study of the static susceptibility behaviours." Physica B Condensed Matter, 245 (2017), (3), pp. 263-276.
  5. Delft, A. V., Donnison, T. A., Lourenço, J., et al., The generation of a simian adenoviral vectored hcv vaccine encoding genetically conserved gene segments to target multiple hcv genotypes. Vaccine, 36 (2018), 2, pp. 313-321.
  6. Trevor J Laborda, M Kyle Jensen, Marianne Kavan, et al., Treatment of primary sclerosing cholangitis in children. World Journal of Hepatology, 11 (2019), 1, pp. 19-36.
  7. Tan, X., Ji, Z., Zhang, Y. Non-invasive continuous blood pressure measurement based on mean impact value method, bp neural network, and genetic algorithm. Technology & Health Care Official Journal of the European Society for Engineering & Medicine, 26 (2018), 6, pp. 1-15.
  8. Ángel Rivas. Quantum thermodynamics in the refined weak coupling limit. Entropy, 21(2019), 8, pp. 725.
  9. Hengpraprohm, Supoj, Hengpraprohm, Kairung, Thammasiri, Dech., et al., Co-evolving ensemble of genetic algorithm classifier for cancer microarray data classification. Advanced Science Letters, 24 (2018), 2, pp. 1330-1333.
  10. Mohammad H. Ahmadi, Amir H. Mohammadi, S. Mohsen Pourkiaei. Optimisation of the thermodynamic performance of the stirling engine. International Journal of Ambient Energy, 37(2016), 2, pp. 149-161.
  11. Lu, X., Zhao, M., Li, P., et al., Adsorption behavior of pb(Ⅱ) ion imprinted magnetic composite adsorbent in aqueous solution by faas. Spectroscopy & Spectral Analysis, 36 (2016), 5, pp. 1483-1487.
  12. Yuan, W., Liu, X., Fu, Y. Chemical thermodynamics and chemical kinetics analysis of sandstone dissolution under the action of dry-wet cycles in acid and alkaline environments. Bulletin of Engineering Geology & the Environment, 78 (2019), 2, pp. 793-801.
  13. Lytkin, A. I., Chernikov, V. V., Krutova, O. N., et al., Thermodynamics of the Dissolution of Crystalline 3-Alanylhistidine. Russian Journal of Physical Chemistry 93 (2019), 5, pp. 856-859.
  14. Maity, Subhayan, Bhandari, Pritikana, Chakraborty, Subenoy. Universe consisting of diffusive dark fluids: thermodynamics and stability analysis., The European Physical Journal C, 79 (2019),1, pp. 82.
  15. Kuznetsov, V. S., Zherdev, V. P., Badelin, V. G., et al., Thermodynamics and Structure of Micelles in Aqueous Solutions of Sodium Decyl Sulfate in the Region of the Third Critical Micelle Concentration. Russian Journal of Physical Chemistry, 93 (2019),8, pp. 1471-1477.

© 2020 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence