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Simulation and Empirical Studies of the Commercial SI Engine Performance and Its Emission Levels When Running on a CNG and Hydrogen Blend

Author

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  • Rafaa Saaidia

    (Laboratory of the Electromechanical System, Department of Mechanical Engineering, National School of Engineers of Sfax (ENIS), BP. 1173, 3038 Sfax, Tunisia
    Technical and Vocational Training Corporation, Department of Mechanical Engineering, Bishah Technical College, BP. 688, 61922 Bishah, Province of Assir, Saudi Arabia)

  • Mohamed Ali Jemni

    (Laboratory of the Electromechanical System, Department of Mechanical Engineering, National School of Engineers of Sfax (ENIS), BP. 1173, 3038 Sfax, Tunisia)

  • Mohamed Salah Abid

    (Laboratory of the Electromechanical System, Department of Mechanical Engineering, National School of Engineers of Sfax (ENIS), BP. 1173, 3038 Sfax, Tunisia)

Abstract

This article is a report on a simulation based on Computational Fluid Dynamics (CFD) and an empirical investigation of in-cylinder flow characteristics, In addition, it assesses the performance and emission levels of a commercial-spark ignited engine running on a CNG and Hydrogen blend in different ratios. The main objective was to determine the optimum hydrogen ratio that would yield the best brake torque and release the least polluting gases. The in-cylinder flow velocity and turbulence aspects were investigated during the intake stroke in order to analyze the intake flow behavior. To reach this goal, a 3D CFD code was adopted. For various engine speeds were investigated for gasoline, CNG and hydrogen and CNG blend (HCNG) fueled engines via external mixtures. The variation of brake torque (BT), NO X and CO emissions. A series of tests were conducted on the engine within the speed range of 1000 to 5000 rpm. For this purpose, a commercial Hyundai Sonata S.I engine was modified to operate with a blend of CNG and Hydrogen in different ratios. The experiments attempted to determine the optimum allowable hydrogen ratio with CNG for normal engine operation. The engine performance and the emission levels were also analyzed. At the engine speed of 4200 rpm, the results revealed that beyond a ratio of 50% of the volume of hydrogen added to CNG a backfire phenomenon appeared. Below this ratio (0~40%) of the hydrogen volume, the CNG and Hydrogen blend seemed to be beneficial for the engine performance and for curtailing the emission level. However, at low engine speeds, the NO X concentration increased simultaneously with hydrogen content. In contrast, at high engine speeds, the NO X concentration decreased to its lowest level compared to that reached with gasoline as a running fuel. The concentration levels of HC, CO 2 , and CO decreased with the increase of hydrogen percentage.

Suggested Citation

  • Rafaa Saaidia & Mohamed Ali Jemni & Mohamed Salah Abid, 2017. "Simulation and Empirical Studies of the Commercial SI Engine Performance and Its Emission Levels When Running on a CNG and Hydrogen Blend," Energies, MDPI, vol. 11(1), pages 1-22, December.
    • Handle: RePEc:gam:jeners:v:11:y:2017:i:1:p:29-:d:124180
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    References listed on IDEAS

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    1. Diéguez, P.M. & Urroz, J.C. & Marcelino-Sádaba, S. & Pérez-Ezcurdia, A. & Benito-Amurrio, M. & Sáinz, D. & Gandía, L.M., 2014. "Experimental study of the performance and emission characteristics of an adapted commercial four-cylinder spark ignition engine running on hydrogen–methane mixtures," Applied Energy, Elsevier, vol. 113(C), pages 1068-1076.
    2. Harshavardhan, Ballapu & Mallikarjuna, J.M., 2015. "Effect of piston shape on in-cylinder flows and air–fuel interaction in a direct injection spark ignition engine – A CFD analysis," Energy, Elsevier, vol. 81(C), pages 361-372.
    3. Driss, Zied & Mlayeh, Olfa & Driss, Dorra & Maaloul, Makram & Abid, Mohamed Salah, 2014. "Numerical simulation and experimental validation of the turbulent flow around a small incurved Savonius wind rotor," Energy, Elsevier, vol. 74(C), pages 506-517.
    4. Pablo-Romero, María del P. & De Jesús, Josué, 2016. "Economic growth and energy consumption: The Energy-Environmental Kuznets Curve for Latin America and the Caribbean," Renewable and Sustainable Energy Reviews, Elsevier, vol. 60(C), pages 1343-1350.
    5. Kacem, Sahar Hadj & Jemni, Mohamed Ali & Driss, Zied & Abid, Mohamed Salah, 2016. "The effect of H2 enrichment on in-cylinder flow behavior, engine performances and exhaust emissions: Case of LPG-hydrogen engine," Applied Energy, Elsevier, vol. 179(C), pages 961-971.
    6. Bysveen, Marie, 2007. "Engine characteristics of emissions and performance using mixtures of natural gas and hydrogen," Energy, Elsevier, vol. 32(4), pages 482-489.
    7. Wang, Xin & Zhang, Hongguang & Yao, Baofeng & Lei, Yan & Sun, Xiaona & Wang, Daojing & Ge, Yunshan, 2012. "Experimental study on factors affecting lean combustion limit of S.I engine fueled with compressed natural gas and hydrogen blends," Energy, Elsevier, vol. 38(1), pages 58-65.
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