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Multi-objective optimization of emission parameters of a diesel engine using oxygenated fuel and pilot injection strategy based on RSM-NSGA III

Author

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  • Jia, Guohai
  • Gao, Sheng
  • Shu, Xiong
  • Ren, Bing
  • Zhang, Bin
  • Ma, Guangyu
  • Zhang, Jian
  • Liu, Hui
  • Li, Dongmei

Abstract

In this work, a diesel engine fueled with PODE3/n-butanol/diesel blends at high altitudes was optimized using the RSM-NSGA III hybrid optimization methodology to achieve a reduction in emissions. The target parameters of the optimization were soot, NOx, and HC emissions, and the decision variables were the mass ratio of pilot injection (MRPI), pilot injection timing (PIT), mass ratio of PODE3 (MRP) and mass ratio of n-butanol (MRB). Firstly, a three-dimensional simulation model of the CI engine was built in CONVERGE, and the model was verified through experiments. Secondly, the effects of the pilot injection strategy, also known as the pre-injection strategy, on the combustion characteristics of the CI engine were analyzed. Then, an experimental design based on Box-Behnken Design (BBD) was conducted and a mathematical model of the target parameters was obtained using RSM. Finally, the mathematical model of RSM was optimized using NSGA III to obtain the Pareto frontier, and the optimal solution was selected from the Pareto frontier using TOPSIS. The results showed that a suitable pilot injection strategy helped alleviate the problem of low cylinder pressure (CP) and high soot and HC emissions from the CI engine at high altitudes. The soot and HC emissions exhibited a decreasing and then increasing trend as the PIT advanced. As MRPI increased, both soot and HC emissions decreased. The NOx emissions showed the opposite trend. Compared with the non-optimized results, at an altitude of 2000 m, the optimized engine exhibited a 65.29% decrease in soot emissions, a 24.7% increase in NOx emissions, and a 74.94% decrease in HC emissions. Compared with the non-optimized results, at an altitude of 4000 m, the optimized engine demonstrated a 54.70% decrease in soot emissions, a 15.71% increase in NOx emissions, and a 65.78% decrease in HC emissions. This research will contribute to the application of oxygenated fuels in plateau diesel engines and the optimization of plateau diesel engines.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:293:y:2024:i:c:s036054422400433x
    DOI: 10.1016/j.energy.2024.130661
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    1. Wei Tian & Hongchuan Zhang & Lenian Wang & Zhiqiang Han & Wenbin Yu, 2020. "Effect of Premixed n-Butanol Ratio on the Initial Stage of Combustion in a Light-Duty Butanol/Diesel Dual-Fuel Engine," Energies, MDPI, vol. 13(17), pages 1-10, August.
    2. Liu, Jie & Yang, Fuyuan & Wang, Hewu & Ouyang, Minggao & Hao, Shougang, 2013. "Effects of pilot fuel quantity on the emissions characteristics of a CNG/diesel dual fuel engine with optimized pilot injection timing," Applied Energy, Elsevier, vol. 110(C), pages 201-206.
    3. Ou, Xunmin & Yan, Xiaoyu & Zhang, Xiliang & Liu, Zhen, 2012. "Life-cycle analysis on energy consumption and GHG emission intensities of alternative vehicle fuels in China," Applied Energy, Elsevier, vol. 90(1), pages 218-224.
    4. Ren, Lei & Zhou, Sheng & Ou, Xunmin, 2020. "Life-cycle energy consumption and greenhouse-gas emissions of hydrogen supply chains for fuel-cell vehicles in China," Energy, Elsevier, vol. 209(C).
    5. Haiying Li & Xiaoqin Zhang & Chaofan Li & Rulou Cao & Weiqing Zhu & Yaozong Li & Fengchun Liu & Yufeng Li, 2022. "Numerical Study of Knocking Combustion in a Heavy-Duty Engine under Plateau Conditions," Energies, MDPI, vol. 15(9), pages 1-18, April.
    6. Rajak, Upendra & Nashine, Prerana & Verma, Tikendra Nath, 2019. "Characteristics of microalgae spirulina biodiesel with the impact of n-butanol addition on a CI engine," Energy, Elsevier, vol. 189(C).
    7. Ou, Xunmin & Xiaoyu, Yan & Zhang, Xiliang, 2011. "Life-cycle energy consumption and greenhouse gas emissions for electricity generation and supply in China," Applied Energy, Elsevier, vol. 88(1), pages 289-297, January.
    8. 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).
    9. Zhang, Zhiqing & Lv, Junshuai & Xie, Guanglin & Wang, Su & Ye, Yanshuai & Huang, Gaohua & Tan, Donlgi, 2022. "Effect of assisted hydrogen on combustion and emission characteristics of a diesel engine fueled with biodiesel," Energy, Elsevier, vol. 254(PA).
    10. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2021. "A review of CO2 emissions reduction technologies and low-carbon development in the iron and steel industry focusing on China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    11. Wang, Hailin & Ou, Xunmin & Zhang, Xiliang, 2017. "Mode, technology, energy consumption, and resulting CO2 emissions in China's transport sector up to 2050," Energy Policy, Elsevier, vol. 109(C), pages 719-733.
    12. Tan, Yan & Kou, Chuanfu & E, Jiaqiang & Feng, Changlin & Han, Dandan, 2024. "Effect of different exhaust parameters on conversion efficiency enhancement of a Pd–Rh three-way catalytic converter for heavy-duty natural gas engines," Energy, Elsevier, vol. 292(C).
    13. Wu, Tian & Shen, Qu & Xu, Ming & Peng, Tianduo & Ou, Xunmin, 2018. "Development and application of an energy use and CO2 emissions reduction evaluation model for China's online car hailing services," Energy, Elsevier, vol. 154(C), pages 298-307.
    14. Tan, Dongli & Meng, Yujun & Tian, Jie & Zhang, Chengtao & Zhang, Zhiqing & Yang, Guanhua & Cui, Shuwan & Hu, Jingyi & Zhao, Ziheng, 2023. "Utilization of renewable and sustainable diesel/methanol/n-butanol (DMB) blends for reducing the engine emissions in a diesel engine with different pre-injection strategies," Energy, Elsevier, vol. 269(C).
    15. Wu, Tian & Han, Xiao & Zheng, M. Mocarlo & Ou, Xunmin & Sun, Hongbo & Zhang, Xiong, 2020. "Impact factors of the real-world fuel consumption rate of light duty vehicles in China," Energy, Elsevier, vol. 190(C).
    16. 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).
    17. Zhang, Zhiqing & Hu, Jingyi & Tan, Dongli & Li, Junming & Jiang, Feng & Yao, Xiaoxue & Yang, Dixin & Ye, Yanshuai & Zhao, Ziheng & Yang, Guanhua, 2023. "Multi-objective optimization of the three-way catalytic converter on the combustion and emission characteristics for a gasoline engine," Energy, Elsevier, vol. 277(C).
    18. Ren, Lei & Zhou, Sheng & Peng, Tianduo & Ou, Xunmin, 2022. "Greenhouse gas life cycle analysis of China's fuel cell medium- and heavy-duty trucks under segmented usage scenarios and vehicle types," Energy, Elsevier, vol. 249(C).
    19. Zhang, Chunhua & Li, Yangyang & Liu, Zhentao & Liu, Jinlong, 2022. "An investigation of the effect of plateau environment on the soot generation and oxidation in diesel engines," Energy, Elsevier, vol. 253(C).
    20. Wang, Hao & Peng, Qingguo & Tian, Xinghua & Yan, Feng & Wei, Depeng & Liu, Hui, 2024. "Experimental and numerical investigation on H2-fueled micro-thermophotovoltaic with CH4 and C3H8 blending in a tube fully/partially inserted porous media," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    21. Tan, Dongli & Wu, Yao & Lv, Junshuai & Li, Jian & Ou, Xiaoyu & Meng, Yujun & Lan, Guanglin & Chen, Yanhui & Zhang, Zhiqing, 2023. "Performance optimization of a diesel engine fueled with hydrogen/biodiesel with water addition based on the response surface methodology," Energy, Elsevier, vol. 263(PC).
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