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Multi-objective optimization of the combustion chamber geometry for a highland diesel engine fueled with diesel/n-butanol/PODEn by ANN-NSGA III

Author

Listed:
  • Gao, Sheng
  • Zhang, Yanhui
  • Zhang, Zhiqing
  • Tan, Dongli
  • Li, Junming
  • Yin, Zibin
  • Hu, Jingyi
  • Zhao, Ziheng

Abstract

In China, about one-third of the land area is over 2000 m, and a large number of equipments using diesel engines are operating in these areas. In order to optimizate the performance and emission characteristics of diesel engines, the investigation have been carried out for a highland diesel engine fueled with 80% diesel +10% n-butanol +10% PODE3 at an altitude of 2000 m. Firstly, a source model of the diesel engine was developed in CONVERGE and validated. Secondly, the combustion chamber geometry (CCG) of the diesel engine was expressed using two cubic Bézier curves and the shape of the curves was controlled using five variables (Hdep, C1, C2, LP2a and LP2b) and two fixed values. Then, the soot, NOx and HC emissions were predicted for different CCG shapes using response surface methodology and artificial neural networks (ANN), and a more appropriate prediction method for ANN was determined by comparing the performance of both. Finally, the predictions of the ANN were optimized using Non-dominated sorting genetic algorithm III (NSGA III) to obtain the Pareto fronts and the optimal solutions were selected from the Pareto fronts using VlseKriterijumska Optimizacija I Kombrissino Resenje (VIKOR). Through optimization, the optimal solution reduced soot, NOx and HC emissions by 67.15%, 7.08% and 92.48%, respectively, compared with the original CCG of the CI engine. In addition, the best CCG was analyzed in detail. Overall, ANN-NSGA III is an efficiently optimized method. The optimized CCG can effectively reduce the emission of CI engine.

Suggested Citation

  • Gao, Sheng & Zhang, Yanhui & Zhang, Zhiqing & Tan, Dongli & Li, Junming & Yin, Zibin & Hu, Jingyi & Zhao, Ziheng, 2023. "Multi-objective optimization of the combustion chamber geometry for a highland diesel engine fueled with diesel/n-butanol/PODEn by ANN-NSGA III," Energy, Elsevier, vol. 282(C).
    • Handle: RePEc:eee:energy:v:282:y:2023:i:c:s0360544223021874
    DOI: 10.1016/j.energy.2023.128793
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    Cited by:

    1. Guan, Wei & Gu, Jinkai & Pan, Xiubin & Pan, Mingzhang & Wang, Xinyan & Zhao, Hua & Tan, Dongli & Fu, Changcheng & Pedrozo, Vinícius B. & Zhang, Zhiqing, 2024. "Improvement of the light-load combustion control strategy for a heavy-duty diesel engine fueled with diesel/methonal by RSM-NSGA III," Energy, Elsevier, vol. 297(C).
    2. Jia, Guohai & Gao, Sheng & Shu, Xiong & Ren, Bing & Zhang, Bin & Ma, Guangyu & Zhang, Jian & Liu, Hui & Li, Dongmei, 2024. "Multi-objective optimization of emission parameters of a diesel engine using oxygenated fuel and pilot injection strategy based on RSM-NSGA III," Energy, Elsevier, vol. 293(C).
    3. Zhang, Zhiqing & Hu, Jingyi & Yang, Dayong & Yin, Zibin & Lu, Kai & Tan, Dongli, 2024. "A comprehensive assessment over the environmental impact and combustion efficiency of using ammonia/ hydrogen/diesel blends in a diesel engine," Energy, Elsevier, vol. 303(C).
    4. Zhang, Zhiqing & Wang, Su & Pan, Mingzhang & Lv, Junshuai & Lu, Kai & Ye, Yanshuai & Tan, Dongli, 2024. "Utilization of hydrogen-diesel blends for the improvements of a dual-fuel engine based on the improved Taguchi methodology," Energy, Elsevier, vol. 292(C).
    5. Ma, Wenyao & Gao, Sheng & Liu, Hui & Li, Dongmei, 2024. "The improvements of a diesel engine fueled with renewable and sustainable diesel/n-butanol/polyoxymethylene dimethyl ethers blended fuels at high altitudes," Energy, Elsevier, vol. 289(C).
    6. Łukasz Witanowski, 2024. "Multi-Objective Optimization of a Small-Scale ORC-VCC System Using Low-GWP Refrigerants," Energies, MDPI, vol. 17(21), pages 1-18, October.

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