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A complete 0D thermodynamic predictive model for direct injection diesel engines

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  • Payri, F.
  • Olmeda, P.
  • Martín, J.
  • García, A.

Abstract

Ideal models provide the simplest way to reproduce internal combustion engine (ICE) cycles, but they usually do not represent with sufficient accuracy the actual behaviour of an ICE. A suitable alternative for research and development applications is provided by zero-dimensional (0D) thermodynamic models. Such models are very useful for predicting the instantaneous pressure and temperature in the combustion chamber, which in turn allows the prediction of engine operation characteristics. However, they use simplifying hypotheses which lead, in some cases, to a lack of accuracy or a limited predictive capability.

Suggested Citation

  • Payri, F. & Olmeda, P. & Martín, J. & García, A., 2011. "A complete 0D thermodynamic predictive model for direct injection diesel engines," Applied Energy, Elsevier, vol. 88(12), pages 4632-4641.
    • Handle: RePEc:eee:appene:v:88:y:2011:i:12:p:4632-4641
    DOI: 10.1016/j.apenergy.2011.06.005
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    8. Song Hu & Stefano d’Ambrosio & Roberto Finesso & Andrea Manelli & Mario Rocco Marzano & Antonio Mittica & Loris Ventura & Hechun Wang & Yinyan Wang, 2019. "Comparison of Physics-Based, Semi-Empirical and Neural Network-Based Models for Model-Based Combustion Control in a 3.0 L Diesel Engine," Energies, MDPI, vol. 12(18), pages 1-41, September.
    9. Serrano, J. & Jiménez-Espadafor, F.J. & Lora, A. & Modesto-López, L. & Gañán-Calvo, A. & López-Serrano, J., 2019. "Experimental analysis of NOx reduction through water addition and comparison with exhaust gas recycling," Energy, Elsevier, vol. 168(C), pages 737-752.
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    11. Broatch, Alberto & Olmeda, Pablo & García, Antonio & Salvador-Iborra, Josep & Warey, Alok, 2017. "Impact of swirl on in-cylinder heat transfer in a light-duty diesel engine," Energy, Elsevier, vol. 119(C), pages 1010-1023.
    12. Hu, Deng & Wang, Hechun & Yang, Chuanlei & Wang, Binbin & Duan, Baoyin & Wang, Yinyan & Li, Hucai, 2024. "Construction of digital twin model of engine in-cylinder combustion based on data-driven," Energy, Elsevier, vol. 293(C).
    13. Korakianitis, T. & Imran, S. & Chung, N. & Ali, Hassan & Emberson, D.R. & Crookes, R.J., 2015. "Combustion-response mapping procedure for internal-combustion engine emissions," Applied Energy, Elsevier, vol. 156(C), pages 149-158.
    14. Hu, Deng & Wang, Hechun & Wang, Binbin & Shi, Mingwei & Duan, Baoyin & Wang, Yinyan & Yang, Chuanlei, 2022. "Calibration of 0-D combustion model applied to dual-fuel engine," Energy, Elsevier, vol. 261(PB).
    15. Najafi, Bahman & Akbarian, Eivaz & Lashkarpour, S. Mehdi & Aghbashlo, Mortaza & Ghaziaskar, Hassan S. & Tabatabaei, Meisam, 2019. "Modeling of a dual fueled diesel engine operated by a novel fuel containing glycerol triacetate additive and biodiesel using artificial neural network tuned by genetic algorithm to reduce engine emiss," Energy, Elsevier, vol. 168(C), pages 1128-1137.
    16. Larsen, Ulrik & Sigthorsson, Oskar & Haglind, Fredrik, 2014. "A comparison of advanced heat recovery power cycles in a combined cycle for large ships," Energy, Elsevier, vol. 74(C), pages 260-268.
    17. Broatch, A. & Margot, X. & Novella, R. & Gomez-Soriano, J., 2016. "Combustion noise analysis of partially premixed combustion concept using gasoline fuel in a 2-stroke engine," Energy, Elsevier, vol. 107(C), pages 612-624.
    18. Benajes, Jesús & Olmeda, Pablo & Martín, Jaime & Blanco-Cavero, Diego & Warey, Alok, 2017. "Evaluation of swirl effect on the Global Energy Balance of a HSDI Diesel engine," Energy, Elsevier, vol. 122(C), pages 168-181.
    19. Serrano, J. & Jiménez-Espadafor, F.J. & López, A., 2019. "Analysis of the effect of the hydrogen as main fuel on the performance of a modified compression ignition engine with water injection," Energy, Elsevier, vol. 173(C), pages 911-925.
    20. Torregrosa, A.J. & Broatch, A. & García, A. & Mónico, L.F., 2013. "Sensitivity of combustion noise and NOx and soot emissions to pilot injection in PCCI Diesel engines," Applied Energy, Elsevier, vol. 104(C), pages 149-157.
    21. Youcef Sehili & Khaled Loubar & Lyes Tarabet & Mahfoudh Cerdoun & Clément Lacroix, 2023. "Development of Predictive Model for Hydrogen-Natural Gas/Diesel Dual Fuel Engine," Energies, MDPI, vol. 16(19), pages 1-19, October.
    22. Benajes, J. & Martín, J. & Novella, R. & Thein, K., 2016. "Understanding the performance of the multiple injection gasoline partially premixed combustion concept implemented in a 2-Stroke high speed direct injection compression ignition engine," Applied Energy, Elsevier, vol. 161(C), pages 465-475.
    23. Zhu, Zhenxia & Zhang, Fujun & Li, Changjiang & Wu, Taotao & Han, Kai & Lv, Jianguo & Li, Yunlong & Xiao, Xuelian, 2015. "Genetic algorithm optimization applied to the fuel supply parameters of diesel engines working at plateau," Applied Energy, Elsevier, vol. 157(C), pages 789-797.
    24. Tang, Yuanyuan & Zhang, Jundong & Gan, Huibing & Jia, Baozhu & Xia, Yu, 2017. "Development of a real-time two-stroke marine diesel engine model with in-cylinder pressure prediction capability," Applied Energy, Elsevier, vol. 194(C), pages 55-70.

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