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Investigation on performance of a compression-ignition engine with pressure-wave supercharger

Author

Listed:
  • Lei, Y.
  • Zhou, D.S.
  • Zhang, H.G.

Abstract

Pressure-wave supercharger (PWS) is a technical way to raise engine intake pressure. In this research, a compression-ignition (CI) engine is boosted by COMPREX PWS and the performance of the engine was tested. In order to improve the power of the PWS diesel engine, the Grey Relational Analysis was completed. The analysis results show that two factors, the intake air flow and the exhaust gas temperature, have the most important influences on the PWS engine power. Thus the volume of the intake manifold is enlarged to increase intake air flow while the exhaust manifold is wrapped by asbestos with an iron cover to preserve the high exhaust gas temperature. Consequently, the final experimental results show that both the power and the torque have been built up as well as excellent fast response to various load. Together with experimental test, the Computational fluid dynamic (CFD) simulation was completed based on a three-dimensional (3D) model of the PWS rotor channel. The CFD simulation shows that the inner exhaust gas recirculation (EGR) phenomenon happens especially at middle PWS rotational speed with 30% of full load. The test results demonstrate that the PWS diesel engine performs better with less NOx and soot emissions.

Suggested Citation

  • Lei, Y. & Zhou, D.S. & Zhang, H.G., 2010. "Investigation on performance of a compression-ignition engine with pressure-wave supercharger," Energy, Elsevier, vol. 35(1), pages 85-93.
    • Handle: RePEc:eee:energy:v:35:y:2010:i:1:p:85-93
    DOI: 10.1016/j.energy.2009.08.035
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    Cited by:

    1. Zhao, Yiming & Hu, Dapeng & Yu, Yang & Li, Haoran, 2023. "Study on gas wave ejector with a novel wave rotor applied in natural gas extraction," Energy, Elsevier, vol. 277(C).
    2. Raman, P. & Ram, N.K., 2013. "Performance analysis of an internal combustion engine operated on producer gas, in comparison with the performance of the natural gas and diesel engines," Energy, Elsevier, vol. 63(C), pages 317-333.
    3. Baek, Seungju & Lee, Hyeonjik & Lee, Kihyung, 2021. "Fuel efficiency and exhaust characteristics of turbocharged diesel engine equipped with an electric supercharger," Energy, Elsevier, vol. 214(C).
    4. Elena Arce, María & Saavedra, Ángeles & Míguez, José L. & Granada, Enrique, 2015. "The use of grey-based methods in multi-criteria decision analysis for the evaluation of sustainable energy systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 47(C), pages 924-932.
    5. Wei Tian & Defeng Du & Juntong Li & Zhiqiang Han & Wenbin Yu, 2020. "Establishment of a Two-Stage Turbocharging System Model and Analysis on Influence Rules of Key Parameters," Energies, MDPI, vol. 13(8), pages 1-20, April.
    6. Baek, Seungju & Woo, Seungchul & Kim, Youngkun & Lee, Kihyung, 2019. "Prediction of turbocharged diesel engine performance equipped with an electric supercharger using 1D simulation," Energy, Elsevier, vol. 185(C), pages 213-228.
    7. Tüchler, Stefan & Copeland, Colin D., 2020. "Experimental and numerical assessment of an optimised, non-axial wave rotor turbine," Applied Energy, Elsevier, vol. 268(C).

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