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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 TOPSIS hybrid approach

Author

Listed:
  • Kirankumar, K.R.
  • Kumar, G.N.
  • Kamath, Nagaraja
  • Gangadharan, K.V.

Abstract

In the present study, performance, emission, and vibro-acoustic studies were conducted on a spark ignition (SI) engine fueled with gasoline and an n-propanol blend at variable compression ratio (CR), speed, and propanol blend fraction (PBF). Experimental data were used to model an artificial neural network (ANN) trained with a genetic algorithm (GA). ANN predictive responses were employed to establish regression relationships between brake power (BP), brake specific fuel consumption (BSFC), brake thermal efficiency (BTE), oxides of nitrogen (NOx), carbon monoxide (CO), hydrocarbon (HC), resultant vibration acceleration (RVA), and sound pressure level (SPL) with operating parameters using response surface methodology (RSM). These models served as objective functions in the non-dominated sorting genetic algorithm-3 (NSGA3), a multi-objective optimization (MOO) technique, to optimize responses and obtain non-dominated solutions. These solutions were filtered using a modified technique for order preference by similarity to the ideal solution (TOPSIS) to obtain a compromised optimal solution. ANN-GA model outcomes showed high accuracy, with coefficient of determination (R2) and root mean square error (RMSE) values ranging from 0.979 to 0.993 and 0.0381 to 0.0643, respectively. NSGA3 coupled with modified TOPSIS identified optimal operating conditions at 1271.77 RPM, a CR of 11.96, and a PBF of 33.26 %.

Suggested Citation

  • 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).
    • Handle: RePEc:eee:energy:v:306:y:2024:i:c:s0360544224022953
    DOI: 10.1016/j.energy.2024.132521
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    References listed on IDEAS

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    1. Wong, Ka In & Wong, Pak Kin & Cheung, Chun Shun & Vong, Chi Man, 2013. "Modeling and optimization of biodiesel engine performance using advanced machine learning methods," Energy, Elsevier, vol. 55(C), pages 519-528.
    2. Kuo, Ting, 2017. "A modified TOPSIS with a different ranking index," European Journal of Operational Research, Elsevier, vol. 260(1), pages 152-160.
    3. Jena, Priyaranjan & Raj, Reetu & Tirkey, Jeewan Vachan, 2023. "Thermodynamic performance study and RSM based optimization of SI engine using sewage sludge producer gas blend with methane," Energy, Elsevier, vol. 273(C).
    4. Zhen, Xudong & Wang, Yang, 2015. "An overview of methanol as an internal combustion engine fuel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 52(C), pages 477-493.
    5. Gölcü, Mustafa & Sekmen, Yakup & ErduranlI, Perihan & Sahir Salman, M., 2005. "Artificial neural-network based modeling of variable valve-timing in a spark-ignition engine," Applied Energy, Elsevier, vol. 81(2), pages 187-197, June.
    6. Mendiburu, Andrés Z. & Lauermann, Carlos H. & Hayashi, Thamy C. & Mariños, Diego J. & Rodrigues da Costa, Roberto Berlini & Coronado, Christian J.R. & Roberts, Justo J. & de Carvalho, João A., 2022. "Ethanol as a renewable biofuel: Combustion characteristics and application in engines," Energy, Elsevier, vol. 257(C).
    7. Awad, Omar I. & Ali, Obed M. & Mamat, Rizalman & Abdullah, A.A. & Najafi, G. & Kamarulzaman, M.K. & Yusri, I.M. & Noor, M.M., 2017. "Using fusel oil as a blend in gasoline to improve SI engine efficiencies: A comprehensive review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 69(C), pages 1232-1242.
    8. 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.
    9. Bathala, Ruthvik & G, Hrishikheshan & Rajkumar, Sundararajan & S, Denis Ashok & Jeyaseelan, Thangaraja, 2024. "Experimental investigation, ANN modeling, and TOPSIS optimization of gasoline-alcohol blends for minimizing tailpipe emissions of a motorcycle," Energy, Elsevier, vol. 293(C).
    10. Ou, Xunmin & Yan, Xiaoyu & Zhang, Xiliang & Liu, Zhen, 2012. "Life-cycle analysis on energy consumption and GHG emission intensities of alternative vehicle fuels in China," Applied Energy, Elsevier, vol. 90(1), pages 218-224.
    11. Donateo, Teresa & Tornese, Federica & Laforgia, Domenico, 2013. "Computer-aided conversion of an engine from diesel to methane," Applied Energy, Elsevier, vol. 108(C), pages 8-23.
    12. Sujin, P. & Selva Roji, S. Sheeju & Kings, Ajith J. & Miriam, L.R. Monisha, 2024. "Optimization of engine performance, emission and combustion parameters by using mixed nonedible oil biodiesel with nano-additives using hybrid techniques," Energy, Elsevier, vol. 305(C).
    13. Nadir Yilmaz & Alpaslan Atmanli & Matthew J. Hall & Francisco M. Vigil, 2022. "Determination of the Optimum Blend Ratio of Diesel, Waste Oil Derived Biodiesel and 1-Pentanol Using the Response Surface Method," Energies, MDPI, vol. 15(14), pages 1-16, July.
    14. Li, Yaopeng & Jia, Ming & Chang, Yachao & Liu, Yaodong & Xie, Maozhao & Wang, Tianyou & Zhou, Lei, 2014. "Parametric study and optimization of a RCCI (reactivity controlled compression ignition) engine fueled with methanol and diesel," Energy, Elsevier, vol. 65(C), pages 319-332.
    15. Nuthan Prasad, B.S. & Pandey, Jayashish Kumar & Kumar, G.N., 2020. "Impact of changing compression ratio on engine characteristics of an SI engine fueled with equi-volume blend of methanol and gasoline," Energy, Elsevier, vol. 191(C).
    16. Deb, Madhujit & Debbarma, Bishop & Majumder, Arindam & Banerjee, Rahul, 2016. "Performance –emission optimization of a diesel-hydrogen dual fuel operation: A NSGA II coupled TOPSIS MADM approach," Energy, Elsevier, vol. 117(P1), pages 281-290.
    17. Silitonga, A.S. & Masjuki, H.H. & Ong, Hwai Chyuan & Sebayang, A.H. & Dharma, S. & Kusumo, F. & Siswantoro, J. & Milano, Jassinnee & Daud, Khairil & Mahlia, T.M.I. & Chen, Wei-Hsin & Sugiyanto, Bamban, 2018. "Evaluation of the engine performance and exhaust emissions of biodiesel-bioethanol-diesel blends using kernel-based extreme learning machine," Energy, Elsevier, vol. 159(C), pages 1075-1087.
    18. Chen, Fang & Zhou, Jianzhong & Wang, Chao & Li, Chunlong & Lu, Peng, 2017. "A modified gravitational search algorithm based on a non-dominated sorting genetic approach for hydro-thermal-wind economic emission dispatching," Energy, Elsevier, vol. 121(C), pages 276-291.
    19. Togun, Necla & Baysec, Sedat, 2010. "Genetic programming approach to predict torque and brake specific fuel consumption of a gasoline engine," Applied Energy, Elsevier, vol. 87(11), pages 3401-3408, November.
    20. Atmanli, Alpaslan & Ileri, Erol & Yilmaz, Nadir, 2016. "Optimization of diesel–butanol–vegetable oil blend ratios based on engine operating parameters," Energy, Elsevier, vol. 96(C), pages 569-580.
    21. Wiesenthal, Tobias & Leduc, Guillaume & Christidis, Panayotis & Schade, Burkhard & Pelkmans, Luc & Govaerts, Leen & Georgopoulos, Panagiotis, 2009. "Biofuel support policies in Europe: Lessons learnt for the long way ahead," Renewable and Sustainable Energy Reviews, Elsevier, vol. 13(4), pages 789-800, May.
    22. 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.
    23. Awad, Omar I. & Mamat, R. & Ali, Obed M. & Sidik, N.A.C. & Yusaf, T. & Kadirgama, K. & Kettner, Maurice, 2018. "Alcohol and ether as alternative fuels in spark ignition engine: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 82(P3), pages 2586-2605.
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