IDEAS home Printed from https://ideas.repec.org/a/eee/appene/v138y2015icp460-473.html
   My bibliography  Save this article

Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks

Author

Listed:
  • Rezaei, Javad
  • Shahbakhti, Mahdi
  • Bahri, Bahram
  • Aziz, Azhar Abdul

Abstract

Butanol and ethanol are promising conventional fuel alternatives particularly when utilized in advanced combustion mode like homogeneous charge compression ignition (HCCI). This study investigates the performance and emission characteristics of HCCI engines fueled with oxygenated fuels (i.e. butanol and ethanol). The investigation is done through a combination of experimental data analysis and artificial neural network (ANN) modeling.

Suggested Citation

  • Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
    • Handle: RePEc:eee:appene:v:138:y:2015:i:c:p:460-473
    DOI: 10.1016/j.apenergy.2014.10.088
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0306261914011489
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.apenergy.2014.10.088?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. Najafi, G. & Ghobadian, B. & Tavakoli, T. & Buttsworth, D.R. & Yusaf, T.F. & Faizollahnejad, M., 2009. "Performance and exhaust emissions of a gasoline engine with ethanol blended gasoline fuels using artificial neural network," Applied Energy, Elsevier, vol. 86(5), pages 630-639, May.
    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. Giakoumis, Evangelos G. & Dimaratos, Athanasios M. & Rakopoulos, Constantine D., 2011. "Experimental study of combustion noise radiation during transient turbocharged diesel engine operation," Energy, Elsevier, vol. 36(8), pages 4983-4995.
    4. Mack, J. Hunter & Aceves, Salvador M. & Dibble, Robert W., 2009. "Demonstrating direct use of wet ethanol in a homogeneous charge compression ignition (HCCI) engine," Energy, Elsevier, vol. 34(6), pages 782-787.
    5. Rakopoulos, C.D. & Dimaratos, A.M. & Giakoumis, E.G. & Rakopoulos, D.C., 2011. "Study of turbocharged diesel engine operation, pollutant emissions and combustion noise radiation during starting with bio-diesel or n-butanol diesel fuel blends," Applied Energy, Elsevier, vol. 88(11), pages 3905-3916.
    6. Visakhamoorthy, Sona & Wen, John Z. & Sivoththaman, Siva & Koch, Charles Robert, 2012. "Numerical study of a butanol/heptane fuelled Homogeneous Charge Compression Ignition (HCCI) engine utilizing negative valve overlap," Applied Energy, Elsevier, vol. 94(C), pages 166-173.
    7. Irimescu, Adrian, 2012. "Performance and fuel conversion efficiency of a spark ignition engine fueled with iso-butanol," Applied Energy, Elsevier, vol. 96(C), pages 477-483.
    8. Saxena, Samveg & Schneider, Silvan & Aceves, Salvador & Dibble, Robert, 2012. "Wet ethanol in HCCI engines with exhaust heat recovery to improve the energy balance of ethanol fuels," Applied Energy, Elsevier, vol. 98(C), pages 448-457.
    9. Bahri, Bahram & Aziz, Azhar Abdul & Shahbakhti, Mahdi & Muhamad Said, Mohd Farid, 2013. "Understanding and detecting misfire in an HCCI engine fuelled with ethanol," Applied Energy, Elsevier, vol. 108(C), pages 24-33.
    10. Liu, Haifeng & Li, Shanju & Zheng, Zunqing & Xu, Jia & Yao, Mingfa, 2013. "Effects of n-butanol, 2-butanol, and methyl octynoate addition to diesel fuel on combustion and emissions over a wide range of exhaust gas recirculation (EGR) rates," Applied Energy, Elsevier, vol. 112(C), pages 246-256.
    11. Kara Togun, Necla & Baysec, Sedat, 2010. "Prediction of torque and specific fuel consumption of a gasoline engine by using artificial neural networks," Applied Energy, Elsevier, vol. 87(1), pages 349-355, January.
    12. Deng, Banglin & Yang, Jing & Zhang, Daming & Feng, Renhua & Fu, Jianqin & Liu, Jingping & Li, Ke & Liu, Xiaoqiang, 2013. "The challenges and strategies of butanol application in conventional engines: The sensitivity study of ignition and valve timing," Applied Energy, Elsevier, vol. 108(C), pages 248-260.
    13. Mohamed Ismail, Harun & Ng, Hoon Kiat & Queck, Cheen Wei & Gan, Suyin, 2012. "Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends," Applied Energy, Elsevier, vol. 92(C), pages 769-777.
    14. Saxena, Samveg & Vuilleumier, David & Kozarac, Darko & Krieck, Martin & Dibble, Robert & Aceves, Salvador, 2014. "Optimal operating conditions for wet ethanol in a HCCI engine using exhaust gas heat recovery," Applied Energy, Elsevier, vol. 116(C), pages 269-277.
    15. Viggiano, Annarita & Magi, Vinicio, 2012. "A comprehensive investigation on the emissions of ethanol HCCI engines," Applied Energy, Elsevier, vol. 93(C), pages 277-287.
    16. Saxena, Samveg & Shah, Nihar & Bedoya, Ivan & Phadke, Amol, 2014. "Understanding optimal engine operating strategies for gasoline-fueled HCCI engines using crank-angle resolved exergy analysis," Applied Energy, Elsevier, vol. 114(C), pages 155-163.
    17. Yusaf, Talal F. & Buttsworth, D.R. & Saleh, Khalid H. & Yousif, B.F., 2010. "CNG-diesel engine performance and exhaust emission analysis with the aid of artificial neural network," Applied Energy, Elsevier, vol. 87(5), pages 1661-1669, May.
    18. Shivakumar & Srinivasa Pai, P. & Shrinivasa Rao, B.R., 2011. "Artificial Neural Network based prediction of performance and emission characteristics of a variable compression ratio CI engine using WCO as a biodiesel at different injection timings," Applied Energy, Elsevier, vol. 88(7), pages 2344-2354, July.
    19. Chang, Yu-Cheng & Lee, Wen-Jhy & Lin, Sheng-Lun & Wang, Lin-Chi, 2013. "Green energy: Water-containing acetone–butanol–ethanol diesel blends fueled in diesel engines," Applied Energy, Elsevier, vol. 109(C), pages 182-191.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Geng, Zhiqiang & Li, Hongda & Zhu, Qunxiong & Han, Yongming, 2018. "Production prediction and energy-saving model based on Extreme Learning Machine integrated ISM-AHP: Application in complex chemical processes," Energy, Elsevier, vol. 160(C), pages 898-909.
    2. Li, Yaopeng & Jia, Ming & Han, Xu & Bai, Xue-Song, 2021. "Towards a comprehensive optimization of engine efficiency and emissions by coupling artificial neural network (ANN) with genetic algorithm (GA)," Energy, Elsevier, vol. 225(C).
    3. Thangarasu, Vinoth & M, Angkayarkan Vinayakaselvi & Ramanathan, Anand, 2021. "Artificial neural network approach for parametric investigation of biodiesel synthesis using biocatalyst and engine characteristics of diesel engine fuelled with Aegle Marmelos Correa biodiesel," Energy, Elsevier, vol. 230(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. Bahri, Bahram & Shahbakhti, Mahdi & Aziz, Azhar Abdul, 2017. "Real-time modeling of ringing in HCCI engines using artificial neural networks," Energy, Elsevier, vol. 125(C), pages 509-518.
    6. Yusri, I.M. & Abdul Majeed, A.P.P. & Mamat, R. & Ghazali, M.F. & Awad, Omar I. & Azmi, W.H., 2018. "A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 665-686.
    7. Charalambides, A.G. & Sahu, S. & Hardalupas, Y. & Taylor, A.M.K.P. & Urata, Y., 2018. "Evaluation of Homogeneous Charge Compression Ignition (HCCI) autoignition development through chemiluminescence imaging and Proper Orthogonal Decomposition," Applied Energy, Elsevier, vol. 210(C), pages 288-302.
    8. Song Hu & Stefano d’Ambrosio & Roberto Finesso & Andrea Manelli & Mario Rocco Marzano & Antonio Mittica & Loris Ventura & Hechun Wang & Yinyan Wang, 2019. "Comparison of Physics-Based, Semi-Empirical and Neural Network-Based Models for Model-Based Combustion Control in a 3.0 L Diesel Engine," Energies, MDPI, vol. 12(18), pages 1-41, September.
    9. Kirankumar, K.R. & Kumar, G.N. & Kamath, Nagaraja & Gangadharan, K.V., 2024. "Experimental investigation and optimization of performance, emission, and vibro-acoustic parameters of SI engine fueled with n-propanol and gasoline blends using ANN-GA coupled with NSGA3-modified TOP," Energy, Elsevier, vol. 306(C).
    10. Hosseini, Seyyed Hassan & Taghizadeh-Alisaraei, Ahmad & Ghobadian, Barat & Abbaszadeh-Mayvan, Ahmad, 2020. "Artificial neural network modeling of performance, emission, and vibration of a CI engine using alumina nano-catalyst added to diesel-biodiesel blends," Renewable Energy, Elsevier, vol. 149(C), pages 951-961.
    11. Jafarmadar, Samad & Nemati, Peyman, 2016. "Exergy analysis of diesel/biodiesel combustion in a homogenous charge compression ignition (HCCI) engine using three-dimensional model," Renewable Energy, Elsevier, vol. 99(C), pages 514-523.
    12. Wang, Jinqiu & Bedei, Julian & Deng, Jun & Andert, Jakob & Zhu, Denghao & Li, Liguang, 2021. "Detection of transient low-temperature combustion characteristics by ion current – The missing link for homogeneous charge compression ignition control?," Applied Energy, Elsevier, vol. 283(C).
    13. Liu, Yintong & Li, Liguang & Ye, Junyu & Wu, Zhijun & Deng, Jun, 2015. "Numerical simulation study on correlation between ion current signal and NOX emissions in controlled auto-ignition engine," Applied Energy, Elsevier, vol. 156(C), pages 776-782.
    14. Subrata Bhowmik & Rajsekhar Panua & Subrata K Ghosh & Abhishek Paul & Durbadal Debroy, 2018. "Prediction of performance and exhaust emissions of diesel engine fuelled with adulterated diesel: An artificial neural network assisted fuzzy-based topology optimization," Energy & Environment, , vol. 29(8), pages 1413-1437, December.
    15. Cocco Mariani, Viviana & Hennings Och, Stephan & dos Santos Coelho, Leandro & Domingues, Eric, 2019. "Pressure prediction of a spark ignition single cylinder engine using optimized extreme learning machine models," Applied Energy, Elsevier, vol. 249(C), pages 204-221.
    16. Kshirsagar, Charudatta M. & Anand, Ramanathan, 2017. "Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses," Applied Energy, Elsevier, vol. 189(C), pages 555-567.
    17. Desantes, J.M. & García-Oliver, J.M. & Vera-Tudela, W. & López-Pintor, D. & Schneider, B. & Boulouchos, K., 2016. "Study of the auto-ignition phenomenon of PRFs under HCCI conditions in a RCEM by means of spectroscopy," Applied Energy, Elsevier, vol. 179(C), pages 389-400.
    18. Xiaohua Zeng & Haoyong Cui & Dafeng Song & Nannan Yang & Tong Liu & Huiyong Chen & Yinshu Wang & Yulong Lei, 2018. "Jerk Analysis of a Power-Split Hybrid Electric Vehicle Based on a Data-Driven Vehicle Dynamics Model," Energies, MDPI, vol. 11(6), pages 1-20, June.
    19. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
    20. Chukwuemeka Uguba Owora & Samson Kolawole Fasogbon, 2020. "Rainfall Variability and Trends over Central Ethiopia," International Journal of Environmental Sciences & Natural Resources, Juniper Publishers Inc., vol. 24(4), pages 145-156, May.
    21. Janakiraman, S. & Lakshmanan, T. & Raghu, P., 2021. "Experimental investigative analysis of ternary (diesel + biodiesel + bio-ethanol) fuel blended with metal-doped titanium oxide nanoadditives tested on a diesel engine," Energy, Elsevier, vol. 235(C).
    22. Han, Zhiqiang & Li, Bolun & Tian, Wei & Xia, Qi & Leng, Songpeng, 2019. "Influence of coupling action of oxygenated fuel and gas circuit oxygen on hydrocarbons formation in diesel engine," Energy, Elsevier, vol. 173(C), pages 196-206.
    23. Neshat, Elaheh & Saray, Rahim Khoshbakhti & Hosseini, Vahid, 2016. "Effect of reformer gas blending on homogeneous charge compression ignition combustion of primary reference fuels using multi zone model and semi detailed chemical-kinetic mechanism," Applied Energy, Elsevier, vol. 179(C), pages 463-478.
    24. Mehra, Roopesh Kumar & Duan, Hao & Luo, Sijie & Rao, Anas & Ma, Fanhua, 2018. "Experimental and artificial neural network (ANN) study of hydrogen enriched compressed natural gas (HCNG) engine under various ignition timings and excess air ratios," Applied Energy, Elsevier, vol. 228(C), pages 736-754.

    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. 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.
    2. Bahri, Bahram & Shahbakhti, Mahdi & Kannan, Kaushik & Aziz, Azhar Abdul, 2016. "Identification of ringing operation for low temperature combustion engines," Applied Energy, Elsevier, vol. 171(C), pages 142-152.
    3. Bahri, Bahram & Aziz, Azhar Abdul & Shahbakhti, Mahdi & Muhamad Said, Mohd Farid, 2013. "Understanding and detecting misfire in an HCCI engine fuelled with ethanol," Applied Energy, Elsevier, vol. 108(C), pages 24-33.
    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. Channapattana, S.V. & Pawar, Abhay A. & Kamble, Prashant G., 2017. "Optimisation of operating parameters of DI-CI engine fueled with second generation Bio-fuel and development of ANN based prediction model," Applied Energy, Elsevier, vol. 187(C), pages 84-95.
    6. Roy, Sumit & Banerjee, Rahul & Bose, Probir Kumar, 2014. "Performance and exhaust emissions prediction of a CRDI assisted single cylinder diesel engine coupled with EGR using artificial neural network," Applied Energy, Elsevier, vol. 119(C), pages 330-340.
    7. Bahri, Bahram & Shahbakhti, Mahdi & Aziz, Azhar Abdul, 2017. "Real-time modeling of ringing in HCCI engines using artificial neural networks," Energy, Elsevier, vol. 125(C), pages 509-518.
    8. Lotfan, S. & Ghiasi, R. Akbarpour & Fallah, M. & Sadeghi, M.H., 2016. "ANN-based modeling and reducing dual-fuel engine’s challenging emissions by multi-objective evolutionary algorithm NSGA-II," Applied Energy, Elsevier, vol. 175(C), pages 91-99.
    9. Li, Yuqiang & Chen, Yong & Wu, Gang & Liu, Jiangwei, 2018. "Experimental evaluation of water-containing isopropanol-n-butanol-ethanol and gasoline blend as a fuel candidate in spark-ignition engine," Applied Energy, Elsevier, vol. 219(C), pages 42-52.
    10. Kshirsagar, Charudatta M. & Anand, Ramanathan, 2017. "Artificial neural network applied forecast on a parametric study of Calophyllum inophyllum methyl ester-diesel engine out responses," Applied Energy, Elsevier, vol. 189(C), pages 555-567.
    11. Roy, Sumit & Ghosh, Ashmita & Das, Ajoy Kumar & Banerjee, Rahul, 2015. "Development and validation of a GEP model to predict the performance and exhaust emission parameters of a CRDI assisted single cylinder diesel engine coupled with EGR," Applied Energy, Elsevier, vol. 140(C), pages 52-64.
    12. Yusri, I.M. & Abdul Majeed, A.P.P. & Mamat, R. & Ghazali, M.F. & Awad, Omar I. & Azmi, W.H., 2018. "A review on the application of response surface method and artificial neural network in engine performance and exhaust emissions characteristics in alternative fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 90(C), pages 665-686.
    13. Song Hu & Stefano d’Ambrosio & Roberto Finesso & Andrea Manelli & Mario Rocco Marzano & Antonio Mittica & Loris Ventura & Hechun Wang & Yinyan Wang, 2019. "Comparison of Physics-Based, Semi-Empirical and Neural Network-Based Models for Model-Based Combustion Control in a 3.0 L Diesel Engine," Energies, MDPI, vol. 12(18), pages 1-41, September.
    14. Masum, B.M. & Masjuki, H.H. & Kalam, M.A. & Rizwanul Fattah, I.M. & Palash, S.M. & Abedin, M.J., 2013. "Effect of ethanol–gasoline blend on NOx emission in SI engine," Renewable and Sustainable Energy Reviews, Elsevier, vol. 24(C), pages 209-222.
    15. Bhowmik, Subrata & Paul, Abhishek & Panua, Rajsekhar & Ghosh, Subrata Kumar & Debroy, Durbadal, 2018. "Performance-exhaust emission prediction of diesosenol fueled diesel engine: An ANN coupled MORSM based optimization," Energy, Elsevier, vol. 153(C), pages 212-222.
    16. Mohamed Ismail, Harun & Ng, Hoon Kiat & Queck, Cheen Wei & Gan, Suyin, 2012. "Artificial neural networks modelling of engine-out responses for a light-duty diesel engine fuelled with biodiesel blends," Applied Energy, Elsevier, vol. 92(C), pages 769-777.
    17. Andwari, Amin Mahmoudzadeh & Aziz, Azhar Abdul & Said, Mohd Farid Muhamad & Latiff, Zulkarnain Abdul, 2014. "Experimental investigation of the influence of internal and external EGR on the combustion characteristics of a controlled auto-ignition two-stroke cycle engine," Applied Energy, Elsevier, vol. 134(C), pages 1-10.
    18. Hairuddin, A. Aziz & Yusaf, Talal & Wandel, Andrew P., 2014. "A review of hydrogen and natural gas addition in diesel HCCI engines," Renewable and Sustainable Energy Reviews, Elsevier, vol. 32(C), pages 739-761.
    19. Mack, J. Hunter & Schuler, Daniel & Butt, Ryan H. & Dibble, Robert W., 2016. "Experimental investigation of butanol isomer combustion in Homogeneous Charge Compression Ignition (HCCI) engines," Applied Energy, Elsevier, vol. 165(C), pages 612-626.
    20. Elfasakhany, Ashraf, 2017. "Investigations on performance and pollutant emissions of spark-ignition engines fueled with n-butanol–, isobutanol–, ethanol–, methanol–, and acetone–gasoline blends: A comparative study," Renewable and Sustainable Energy Reviews, Elsevier, vol. 71(C), pages 404-413.

    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:138:y:2015:i:c:p:460-473. 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.