IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v330y2023ipbs0306261922016063.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261922016063
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2022.120349?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yu, Xunzhao & Zhu, Ling & Wang, Yan & Filev, Dimitar & Yao, Xin, 2022. "Internal combustion engine calibration using optimization algorithms," Applied Energy, Elsevier, vol. 305(C).
    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. 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).
    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. 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.
    6. 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).
    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. 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).
    9. 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.
    10. 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.
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ashok, B. & Usman, Kaisan Muhammad & Vignesh, R. & Umar, U.A., 2022. "Model-based injector control map development to improve CRDi engine performance and emissions for eucalyptus biofuel," Energy, Elsevier, vol. 246(C).
    2. Pachiannan, Tamilselvan & Zhong, Wenjun & Rajkumar, Sundararajan & He, Zhixia & Leng, Xianying & Wang, Qian, 2019. "A literature review of fuel effects on performance and emission characteristics of low-temperature combustion strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    3. Gharehghani, Ayat & Abbasi, Hamid Reza & Alizadeh, Pouria, 2021. "Application of machine learning tools for constrained multi-objective optimization of an HCCI engine," Energy, Elsevier, vol. 233(C).
    4. Noh, Hyun Kwon & No, Soo-Young, 2017. "Effect of bioethanol on combustion and emissions in advanced CI engines: HCCI, PPC and GCI mode – A review," Applied Energy, Elsevier, vol. 208(C), pages 782-802.
    5. Suman Dey & Akhilendra Pratap Singh & Sameer Sheshrao Gajghate & Sagnik Pal & Bidyut Baran Saha & Madhujit Deb & Pankaj Kumar Das, 2023. "Optimization of CI Engine Performance and Emissions Using Alcohol–Biodiesel Blends: A Regression Analysis Approach," Sustainability, MDPI, vol. 15(20), pages 1-14, October.
    6. Enzo Galloni & Davide Lanni & Gustavo Fontana & Gabriele D’Antuono & Simone Stabile, 2022. "Performance Estimation of a Downsized SI Engine Running with Hydrogen," Energies, MDPI, vol. 15(13), pages 1-12, June.
    7. Kale, Aneesh Vijay & Krishnasamy, Anand, 2023. "Experimental study of homogeneous charge compression ignition combustion in a light-duty diesel engine fueled with isopropanol–gasoline blends," Energy, Elsevier, vol. 264(C).
    8. Tehseen Johar & Chiu-Fan Hsieh, 2023. "Design Challenges in Hydrogen-Fueled Rotary Engine—A Review," Energies, MDPI, vol. 16(2), pages 1-22, January.
    9. Zhao, Kun & Song, Zhenhua & Sun, Wanru & Gao, Wei & Guo, Junhong & Zhang, Kewei, 2024. "Flexible neodymium iron boron/polyvinyl chloride (Nd2Fe14B/PVC) composite film based hybrid nanogenerator for efficient mechanical energy harvesting," Energy, Elsevier, vol. 300(C).
    10. Ghazimirsaied, Ahmad & Koch, Charles Robert, 2012. "Controlling cyclic combustion timing variations using a symbol-statistics predictive approach in an HCCI engine," Applied Energy, Elsevier, vol. 92(C), pages 133-146.
    11. Percy, A. Jemila & Edwin, M., 2023. "Studies on the performance and emission characteristics of a dual fuel VCR engine using producer gas as secondary fuel: An optimization approach using response surface methodology," Energy, Elsevier, vol. 263(PA).
    12. Xie, Hui & Li, Le & Chen, Tao & Yu, Weifei & Wang, Xinyan & Zhao, Hua, 2013. "Study on spark assisted compression ignition (SACI) combustion with positive valve overlap at medium–high load," Applied Energy, Elsevier, vol. 101(C), pages 622-633.
    13. Vallinayagam, R. & Vedharaj, S. & Yang, W.M. & Roberts, W.L. & Dibble, R.W., 2015. "Feasibility of using less viscous and lower cetane (LVLC) fuels in a diesel engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 51(C), pages 1166-1190.
    14. Sultana, U. & Khairuddin, Azhar B. & Sultana, Beenish & Rasheed, Nadia & Qazi, Sajid Hussain & Malik, Nimra Riaz, 2018. "Placement and sizing of multiple distributed generation and battery swapping stations using grasshopper optimizer algorithm," Energy, Elsevier, vol. 165(PA), pages 408-421.
    15. Ying Sun & Yuelin Gao & Xudong Shi, 2019. "Chaotic Multi-Objective Particle Swarm Optimization Algorithm Incorporating Clone Immunity," Mathematics, MDPI, vol. 7(2), pages 1-16, February.
    16. Fan, Baowei & Pan, Jianfeng & Yang, Wenming & Chen, Wei & Bani, Stephen, 2017. "The influence of injection strategy on mixture formation and combustion process in a direct injection natural gas rotary engine," Applied Energy, Elsevier, vol. 187(C), pages 663-674.
    17. Chen, Shun & Zhao, Liya, 2023. "A quasi-zero stiffness two degree-of-freedom nonlinear galloping oscillator for ultra-low wind speed aeroelastic energy harvesting," Applied Energy, Elsevier, vol. 331(C).
    18. Maurya, Rakesh Kumar & Agarwal, Avinash Kumar, 2013. "Experimental investigation of cyclic variations in HCCI combustion parameters for gasoline like fuels using statistical methods," Applied Energy, Elsevier, vol. 111(C), pages 310-323.
    19. Liu, Luyao & Zhao, Yi & Chang, Dongliang & Xie, Jiyang & Ma, Zhanyu & Sun, Qie & Yin, Hongyi & Wennersten, Ronald, 2018. "Prediction of short-term PV power output and uncertainty analysis," Applied Energy, Elsevier, vol. 228(C), pages 700-711.
    20. Chen, Guisheng & Shen, Yinggang & Zhang, Quanchang & Yao, Mingfa & Zheng, Zunqing & Liu, Haifeng, 2013. "Experimental study on combustion and emission characteristics of a diesel engine fueled with 2,5-dimethylfuran–diesel, n-butanol–diesel and gasoline–diesel blends," Energy, Elsevier, vol. 54(C), pages 333-342.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:appene:v:330:y:2023:i:pb:s0306261922016063. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/wps/find/journaldescription.cws_home/405891/description#description .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.