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Multi objective optimization of HCCI combustion fuelled with fusel oil and n-heptane blends

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Listed:
  • Kocakulak, Tolga
  • Babagiray, Mustafa
  • Nacak, Çağatay
  • Safieddin Ardebili, Seyed Mohammad
  • Calam, Alper
  • Solmaz, Hamit

Abstract

In this study, the combustion, performance, and emission results of the HCCI engine under different fuel and engine parameters conditions were examined experimentally and statistically. Engine speed, excess air ratio, and fuel types with different fusel oil concentrations were used as variable parameters. The engine speed was determined as 1000 and 1200 rpm, excess air ratio 1.7 and 2.1, and fusel oil ratio in fuel was determined as 15% and 30%. When the HCCI engine was operated with these input parameters, the effective torque indicated thermal efficiency, maximum pressure increase rate, COVimep, HC, CO, and NOx values were examined. Experiments were carried out in line with the determined experimental series, and the data obtained were analyzed. Optimization has been made to determine the optimum input parameters by inputting the targeted response parameters from the HCCI engine. After the optimization study, it was concluded that the optimum response parameters, engine speed was 1262.44 rpm, excess air ratio was 1.91631, and was obtained by using F30 fuel. Under optimum input parameters, the effective torque is 5.751 Nm, ITE 34.089%, MPRR 7.257%, COVimep 4.009%, CA50 7 ° CA, HC 454.185 ppm, CO 0.0727%, and NOx 0.000169486 ppm.

Suggested Citation

  • Kocakulak, Tolga & Babagiray, Mustafa & Nacak, Çağatay & Safieddin Ardebili, Seyed Mohammad & Calam, Alper & Solmaz, Hamit, 2022. "Multi objective optimization of HCCI combustion fuelled with fusel oil and n-heptane blends," Renewable Energy, Elsevier, vol. 182(C), pages 827-841.
  • Handle: RePEc:eee:renene:v:182:y:2022:i:c:p:827-841
    DOI: 10.1016/j.renene.2021.10.041
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    References listed on IDEAS

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    1. Wu, Jingtao & Zhang, Zhehao & Kang, Zhe & Deng, Jun & Li, Liguang & Wu, Zhijun, 2022. "An assessment methodology for fuel/water consumption co-optimization of a gasoline engine with port water injection," Applied Energy, Elsevier, vol. 310(C).
    2. Ardebili, Seyed Mohammad Safieddin & Kocakulak, Tolga & Aytav, Emre & Calam, Alper, 2022. "Investigation of the effect of JP-8 fuel and biodiesel fuel mixture on engine performance and emissions by experimental and statistical methods," Energy, Elsevier, vol. 254(PA).
    3. Zhang, Shanhong & Yu, Guanghui & Guo, Yu & Wang, Yang, 2023. "Modelling development and optimization on hydrodynamics and energy utilization of fish culture tank based on computational fluid dynamics and machine learning," Energy, Elsevier, vol. 276(C).
    4. Babagiray, Mustafa & Kocakulak, Tolga & Safieddin Ardebili, Seyed Mohammad & Solmaz, Hamit & Çınar, Can & Uyumaz, Ahmet, 2022. "Experimental and statistical investigation of different valve lifts on HCCI combustion, performance and exhaust emissions using response surface method," Energy, Elsevier, vol. 244(PB).
    5. Yakın, Ahmet & Behcet, Rasim & Solmaz, Hamit & Halis, Serdar, 2022. "Testing sodium borohydride as a fuel additive in internal combustion gasoline engine," Energy, Elsevier, vol. 254(PB).

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