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High efficiency dual-fuel combustion through thermochemical recovery and diesel reforming

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  • D.F. Chuahy, Flavio
  • Kokjohn, Sage L.

Abstract

A computational system optimization was conducted to explore the potential benefits of diesel reforming in dual-fuel combustion strategies. A comprehensive CFD model, validated against syngas (50/50 H2/CO by mole) metal engine experiments, was used to simulate the engine combustion process. The engine CFD solver was coupled with an equilibrium solver for the reformer process and three different reforming processes were investigated: Partial oxidation, steam reforming, and autothermal reforming. A system level approach was used to evaluate the impact of thermochemical recovery of exhaust energy and reformer losses. A design of experiments of simulations was conducted to explore the combustion system design space and a genetic algorithm was used to search the resulting response surface and find the optimal operating conditions. It was found that fuel reforming can increase engine net indicated efficiencies by as much as 9% due to a shorter combustion duration and reduction in heat transfer losses. The partial oxidation reforming system resulted in the lowest system efficiencies at 44% due to its exothermic nature, while steam reforming and autothermal reforming were able to achieve over 48% system efficiency, an improvement in global efficiency of 8% compared to a diesel baseline due to exhaust heat recovery.

Suggested Citation

  • D.F. Chuahy, Flavio & Kokjohn, Sage L., 2017. "High efficiency dual-fuel combustion through thermochemical recovery and diesel reforming," Applied Energy, Elsevier, vol. 195(C), pages 503-522.
    • Handle: RePEc:eee:appene:v:195:y:2017:i:c:p:503-522
    DOI: 10.1016/j.apenergy.2017.03.078
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    References listed on IDEAS

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    3. Eyal, Amnon & Tartakovsky, Leonid, 2020. "Second-law analysis of the reforming-controlled compression ignition," Applied Energy, Elsevier, vol. 263(C).
    4. Ipsakis, Dimitris & Ouzounidou, Martha & Papadopoulou, Simira & Seferlis, Panos & Voutetakis, Spyros, 2017. "Dynamic modeling and control analysis of a methanol autothermal reforming and PEM fuel cell power system," Applied Energy, Elsevier, vol. 208(C), pages 703-718.
    5. Samsun, Remzi Can & Prawitz, Matthias & Tschauder, Andreas & Meißner, Jan & Pasel, Joachim & Peters, Ralf, 2020. "Reforming of diesel and jet fuel for fuel cells on a systems level: Steady-state and transient operation," Applied Energy, Elsevier, vol. 279(C).
    6. Pashchenko, Dmitry, 2018. "First law energy analysis of thermochemical waste-heat recuperation by steam methane reforming," Energy, Elsevier, vol. 143(C), pages 478-487.
    7. Yousefi, Amin & Guo, Hongsheng & Birouk, Madjid, 2018. "Effect of swirl ratio on NG/diesel dual-fuel combustion at low to high engine load conditions," Applied Energy, Elsevier, vol. 229(C), pages 375-388.
    8. Sunita Pokharel & Mohsen Ayoobi & V’yacheslav Akkerman, 2021. "Computational Analysis of Premixed Syngas/Air Combustion in Micro-channels: Impacts of Flow Rate and Fuel Composition," Energies, MDPI, vol. 14(14), pages 1-19, July.
    9. Atakan, Burak & Kaiser, Sebastian A. & Herzler, Jürgen & Porras, Sylvia & Banke, Kai & Deutschmann, Olaf & Kasper, Tina & Fikri, Mustapha & Schießl, Robert & Schröder, Dominik & Rudolph, Charlotte & K, 2020. "Flexible energy conversion and storage via high-temperature gas-phase reactions: The piston engine as a polygeneration reactor," Renewable and Sustainable Energy Reviews, Elsevier, vol. 133(C).
    10. Paykani, Amin & Garcia, Antonio & Shahbakhti, Mahdi & Rahnama, Pourya & Reitz, Rolf D., 2021. "Reactivity controlled compression ignition engine: Pathways towards commercial viability," Applied Energy, Elsevier, vol. 282(PA).
    11. D.F. Chuahy, Flavio & Kokjohn, Sage L., 2017. "Effects of reformed fuel composition in “single” fuel reactivity controlled compression ignition combustion," Applied Energy, Elsevier, vol. 208(C), pages 1-11.
    12. Samsun, Remzi Can & Prawitz, Matthias & Tschauder, Andreas & Pasel, Joachim & Pfeifer, Peter & Peters, Ralf & Stolten, Detlef, 2018. "An integrated diesel fuel processing system with thermal start-up for fuel cells," Applied Energy, Elsevier, vol. 226(C), pages 145-159.
    13. Pashchenko, Dmitry, 2019. "Pressure drop in the thermochemical recuperators filled with the catalysts of various shapes: A combined experimental and numerical investigation," Energy, Elsevier, vol. 166(C), pages 462-470.
    14. Di Blasio, G. & Belgiorno, G. & Beatrice, C., 2017. "Effects on performances, emissions and particle size distributions of a dual fuel (methane-diesel) light-duty engine varying the compression ratio," Applied Energy, Elsevier, vol. 204(C), pages 726-740.
    15. Li, Bo & Zhong, Fei & Wang, Ruixin & Jiang, Yankun & Chen, Yexin, 2024. "Experimental and numerical study on a SI engine fueled with gasohol and dissociated methanol gas blends at lean conditions," Energy, Elsevier, vol. 292(C).
    16. Navid Kousheshi & Mortaza Yari & Amin Paykani & Ali Saberi Mehr & German F. de la Fuente, 2020. "Effect of Syngas Composition on the Combustion and Emissions Characteristics of a Syngas/Diesel RCCI Engine," Energies, MDPI, vol. 13(1), pages 1-19, January.
    17. D.F. Chuahy, Flavio & Kokjohn, Sage L., 2019. "Solid oxide fuel cell and advanced combustion engine combined cycle: A pathway to 70% electrical efficiency," Applied Energy, Elsevier, vol. 235(C), pages 391-408.
    18. Zhong, Shenghui & Xu, Shijie & Bai, Xue-Song & Peng, Zhijun & Zhang, Fan, 2021. "Large eddy simulation of n-heptane/syngas pilot ignition spray combustion: Ignition process, liftoff evolution and pollutant emissions," Energy, Elsevier, vol. 233(C).
    19. Zhu, Yizi & He, Zhixia & Xuan, Tiemin & Shao, Zhuang, 2024. "An enhanced automated machine learning model for optimizing cycle-to-cycle variation in hydrogen-enriched methanol engines," Applied Energy, Elsevier, vol. 362(C).

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