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Optimizing the effect of a mixture of light naphtha, diesel and gasoline fuels on engine performance and emission values on an HCCI engine

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  • Çelebi, Samet
  • Kocakulak, Tolga
  • Demir, Usame
  • Ergen, Gökhan
  • Yilmaz, Emre

Abstract

In this study, the effects of using naphtha-diesel and naphtha-gasoline fuel mixtures were investigated using experimental and statistical methods on homogeneous charge compression ignition (HCCI) engine performance and emission values. Response Surface Method (RSM) was used as a statistical method. Fifty-two experiments were specified in the experimental set created by the RSM central composite design method, which were carried out under the same conditions. As a result of the experimental study, effective torque, brake-specific fuel consumption (BSFC), CO, HC, and NO emissions values were examined. The experimental results extrapolation equations were obtained with the RSM method, and the contour graphs were drawn. Optimum input parameters were determined to obtain the targeted output parameters. After the optimization, it was seen that the usage of gasoline fuel gave better results than diesel. Among the optimum input parameters, the gasoline ratio was determined as 0.297 %, the injection duration was 11.97 ms, and the engine speed was 1325.21 rpm. Effective torque was 12.79 Nm, BSFC value was 589.79 g/kWh, CO emission value was 0.11 %, HC emission value was 519.86 ppm, and NO emission value was 0 ppm depending on the optimum input parameters.

Suggested Citation

  • Çelebi, Samet & Kocakulak, Tolga & Demir, Usame & Ergen, Gökhan & Yilmaz, Emre, 2023. "Optimizing the effect of a mixture of light naphtha, diesel and gasoline fuels on engine performance and emission values on an HCCI engine," Applied Energy, Elsevier, vol. 330(PB).
    • Handle: RePEc:eee:appene:v:330:y:2023:i:pb:s0306261922016063
    DOI: 10.1016/j.apenergy.2022.120349
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    1. 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).
    2. Maurya, Rakesh Kumar & Agarwal, Avinash Kumar, 2011. "Experimental study of combustion and emission characteristics of ethanol fuelled port injected homogeneous charge compression ignition (HCCI) combustion engine," Applied Energy, Elsevier, vol. 88(4), pages 1169-1180, April.
    3. Srinidhi, Campli & Madhusudhan, A. & Channapattana, S.V. & Gawali, S.V. & Aithal, Kiran, 2021. "RSM based parameter optimization of CI engine fuelled with nickel oxide dosed Azadirachta indica methyl ester," Energy, Elsevier, vol. 234(C).
    4. Bendu, Harisankar & Deepak, B.B.V.L. & Murugan, S., 2017. "Multi-objective optimization of ethanol fuelled HCCI engine performance using hybrid GRNN–PSO," Applied Energy, Elsevier, vol. 187(C), pages 601-611.
    5. Yu, Xunzhao & Zhu, Ling & Wang, Yan & Filev, Dimitar & Yao, Xin, 2022. "Internal combustion engine calibration using optimization algorithms," Applied Energy, Elsevier, vol. 305(C).
    6. Singh, Yashvir & Sharma, Abhishek & Tiwari, Sumit & Singla, Amneesh, 2019. "Optimization of diesel engine performance and emission parameters employing cassia tora methyl esters-response surface methodology approach," Energy, Elsevier, vol. 168(C), pages 909-918.
    7. Krishna, Addepalli S. & Mallikarjuna, J.M. & Kumar, Davinder, 2016. "Effect of engine parameters on in-cylinder flows in a two-stroke gasoline direct injection engine," Applied Energy, Elsevier, vol. 176(C), pages 282-294.
    8. Maksymilian Mądziel & Tiziana Campisi & Artur Jaworski & Giovanni Tesoriere, 2021. "The Development of Strategies to Reduce Exhaust Emissions from Passenger Cars in Rzeszow City—Poland. A Preliminary Assessment of the Results Produced by the Increase of E-Fleet," Energies, MDPI, vol. 14(4), pages 1-21, February.
    9. Safieddin Ardebili, Seyed Mohammad & Babagiray, Mustafa & Aytav, Emre & Can, Özer & Boroiu, Andrei-Alexandru, 2022. "Multi-objective optimization of DI diesel engine performance and emission parameters fueled with Jet-A1 – Diesel blends," Energy, Elsevier, vol. 242(C).
    10. Li, Xiang & Cao, Yuying & Yu, Xin & Xu, Yuhong & Yang, Yanfei & Liu, Shiming & Cheng, Tinghai & Wang, Zhong Lin, 2022. "Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture," Applied Energy, Elsevier, vol. 306(PA).
    11. Behdad Shadidi & Gholamhassan Najafi & Talal Yusaf, 2021. "A Review of Hydrogen as a Fuel in Internal Combustion Engines," Energies, MDPI, vol. 14(19), pages 1-20, September.
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