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Open Dual Cycle with Composition Change and Limited Pressure for Prediction of Miller Engines Performance and Its Turbine Temperature

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  • Antonio Lecuona

    (Grupo ITEA, Departamento de Ingeniería Térmica, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain)

  • José I. Nogueira

    (Campus de Excelencia Internacional en Energía y Medioambiente, Escuela de Ingeniería Industrial y Aeroespacial de Toledo, Universidad de Castilla-La Mancha, Real Fábrica de Armas, Edif. Sabatini, Av. Carlos III, s/n, 45071 Toledo, Spain)

  • Antonio Famiglietti

    (Grupo ITEA, Departamento de Ingeniería Térmica, Universidad Carlos III de Madrid, Avda. de la Universidad 30, 28911 Leganés, Spain)

Abstract

An improved thermodynamic open Dual cycle is proposed to simulate the working of internal combustion engines. It covers both spark ignition and Diesel types through a sequential heat release. This study proposes a procedure that includes (i) the composition change caused by internal combustion, (ii) the temperature excursions, (iii) the combustion efficiency, (iv) heat and pressure losses, and (v) the intake valve timing, following well-established methodologies. The result leads to simple analytical expressions, valid for portable models, optimization studies, engine transformations, and teaching. The proposed simplified model also provides the working gas properties and the amount of trapped mass in the cylinder resulting from the exhaust and intake processes. This allows us to yield explicit equations for cycle work and efficiency, as well as exhaust temperature for turbocharging. The model covers Atkinson and Miller cycles as particular cases and can include irreversibilities in compression, expansion, intake, and exhaust. Results are consistent with the real influence of the fuel-air ratio, overcoming limitations of standard air cycles without the complex calculation of fuel-air cycles. It includes Exhaust Gas Recirculation, EGR, external irreversibilities, and contemporary high-efficiency and low-polluting technologies. Correlations for heat ratio γ are given, including renewable fuels.

Suggested Citation

  • Antonio Lecuona & José I. Nogueira & Antonio Famiglietti, 2021. "Open Dual Cycle with Composition Change and Limited Pressure for Prediction of Miller Engines Performance and Its Turbine Temperature," Energies, MDPI, vol. 14(10), pages 1-25, May.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2870-:d:555545
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    References listed on IDEAS

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    1. Shehata, M.S., 2010. "Cylinder pressure, performance parameters, heat release, specific heats ratio and duration of combustion for spark ignition engine," Energy, Elsevier, vol. 35(12), pages 4710-4725.
    2. Chen, Lingen & Zeng, Fanming & Sun, Fengrui & Wu, Chih, 1996. "Heat-transfer effects on net work and/or power as functions of efficiency for air-standard diesel cycles," Energy, Elsevier, vol. 21(12), pages 1201-1205.
    3. Yuh-Yih Wu & James H. Wang & Faizan Mushtaq Mir, 2018. "Improving the Thermal Efficiency of the Homogeneous Charge Compression Ignition Engine by Using Various Combustion Patterns," Energies, MDPI, vol. 11(11), pages 1-20, November.
    4. Yongming Feng & Haiyan Wang & Ruifeng Gao & Yuanqing Zhu, 2019. "A Zero-Dimensional Mixing Controlled Combustion Model for Real Time Performance Simulation of Marine Two-Stroke Diesel Engines," Energies, MDPI, vol. 12(10), pages 1-19, May.
    5. Al-Sarkhi, A. & Jaber, J.O. & Abu-Qudais, M. & Probert, S.D., 2006. "Effects of friction and temperature-dependent specific-heat of the working fluid on the performance of a Diesel-engine," Applied Energy, Elsevier, vol. 83(2), pages 153-165, February.
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