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Comparative evaluation of performance and emissions of CNG engine for heavy-duty vehicles fueled with various caloric natural gases

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  • Park, Cheolwoong
  • Kim, Changgi
  • Lee, Sangho
  • Lee, Sunyoup
  • Lee, Janghee

Abstract

In the present study, an 11 l inline six-cylinder natural gas engine of the stoichiometric combustion type, which is implemented in city buses, is used in wide-open throttle and transient mode cycle tests. This is done to assess the effects of natural gas fuel composition on the full-load performance and emissions characteristics under a mode test for emission standards. Experiments were carried out on three types of compositions: The minimum calorific value of new natural gas supply regulations, the average composition of new supply regulations applied, and liquid natural gas weathered over three weeks. The torque of the engine increases proportionally with the calorific value. When the fuel supply is controlled in inverse proportion to the calorific value of a fuel, the torque of gas with a lower calorific value than the reference fuel is decreased. When gas with a lower calorific value than the reference fuel is used, the amount of carbon monoxide increases slightly, and nitrogen oxide emission increases significantly. However, after calibration of the fuel amount by adaptive learning, in experiments under a world harmonized transient cycle mode test condition, the nitrogen oxides are reduced again below the emission limit and meet the regulation.

Suggested Citation

  • Park, Cheolwoong & Kim, Changgi & Lee, Sangho & Lee, Sunyoup & Lee, Janghee, 2019. "Comparative evaluation of performance and emissions of CNG engine for heavy-duty vehicles fueled with various caloric natural gases," Energy, Elsevier, vol. 174(C), pages 1-9.
    • Handle: RePEc:eee:energy:v:174:y:2019:i:c:p:1-9
    DOI: 10.1016/j.energy.2019.02.120
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    References listed on IDEAS

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    3. Yang, Zhaoming & Liu, Zhe & Zhou, Jing & Song, Chaofan & Xiang, Qi & He, Qian & Hu, Jingjing & Faber, Michael H. & Zio, Enrico & Li, Zhenlin & Su, Huai & Zhang, Jinjun, 2023. "A graph neural network (GNN) method for assigning gas calorific values to natural gas pipeline networks," Energy, Elsevier, vol. 278(C).
    4. Muhammad Usman & Muhammad Ali Ijaz Malik & Rehmat Bashir & Fahid Riaz & Muhammad Juniad Raza & Khubaib Suleman & Abd-ul Rehman & Waqar Muhammad Ashraf & Jaroslaw Krzywanski, 2022. "Enviro-Economic Assessment of HHO–CNG Mixture Utilization in Spark Ignition Engine for Performance and Environmental Sustainability," Energies, MDPI, vol. 15(21), pages 1-15, November.
    5. Lei, Yan & Li, Yong & Qiu, Tao & Li, Yunqiang & Wang, Yupeng & Zhang, Chengguo & Liu, Jiaxing & Ding, Mengzhu & Liu, Xianwu & Peng, Guangyu, 2021. "Effects of high-pressure methane jet on premixed ignited flame in constant-volume bomb," Energy, Elsevier, vol. 220(C).
    6. Aydın, Hüseyin, 2021. "An innovative research on variable compression ratio in RCCI strategy on a power generator diesel engine using CNG-safflower biodiesel," Energy, Elsevier, vol. 231(C).
    7. Lee, Sangho & Yi, Ui Hyung & Jang, Hyungjoon & Park, Cheolwoong & Kim, Changgi, 2021. "Evaluation of emission characteristics of a stoichiometric natural gas engine fueled with compressed natural gas and biomethane," Energy, Elsevier, vol. 220(C).
    8. López, J.J. & Novella, R. & Gomez-Soriano, J. & Martinez-Hernandiz, P.J. & Rampanarivo, F. & Libert, C. & Dabiri, M., 2021. "Advantages of the unscavenged pre-chamber ignition system in turbocharged natural gas engines for automotive applications," Energy, Elsevier, vol. 218(C).

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