IDEAS home Printed from https://ideas.repec.org/a/gam/jeners/v14y2021i10p2870-d555545.html
   My bibliography  Save this article

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

Author

Listed:
  • 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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1996-1073/14/10/2870/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1996-1073/14/10/2870/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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. 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.
    3. 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.
    4. 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.
    5. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Mousapour, Ashkan & Hajipour, Alireza & Rashidi, Mohammad Mehdi & Freidoonimehr, Navid, 2016. "Performance evaluation of an irreversible Miller cycle comparing FTT (finite-time thermodynamics) analysis and ANN (artificial neural network) prediction," Energy, Elsevier, vol. 94(C), pages 100-109.
    2. Bodisco, Timothy & Brown, Richard J., 2013. "Inter-cycle variability of in-cylinder pressure parameters in an ethanol fumigated common rail diesel engine," Energy, Elsevier, vol. 52(C), pages 55-65.
    3. Wu, Heng & Ge, Yanlin & Chen, Lingen & Feng, Huijun, 2021. "Power, efficiency, ecological function and ecological coefficient of performance optimizations of irreversible Diesel cycle based on finite piston speed," Energy, Elsevier, vol. 216(C).
    4. EL-Seesy, Ahmed I. & Hassan, Hamdy, 2019. "Investigation of the effect of adding graphene oxide, graphene nanoplatelet, and multiwalled carbon nanotube additives with n-butanol-Jatropha methyl ester on a diesel engine performance," Renewable Energy, Elsevier, vol. 132(C), pages 558-574.
    5. Djouadi, Amel & Bentahar, Fatiha, 2016. "Combustion study of a spark-ignition engine from pressure cycles," Energy, Elsevier, vol. 101(C), pages 211-217.
    6. El-Seesy, Ahmed I. & Hassan, Hamdy & Ookawara, S., 2018. "Effects of graphene nanoplatelet addition to jatropha Biodiesel–Diesel mixture on the performance and emission characteristics of a diesel engine," Energy, Elsevier, vol. 147(C), pages 1129-1152.
    7. Wei, Jiangjun & He, Chengjun & Lv, Gang & Zhuang, Yuan & Qian, Yejian & Pan, Suozhu, 2021. "The combustion, performance and emissions investigation of a dual-fuel diesel engine using silicon dioxide nanoparticle additives to methanol," Energy, Elsevier, vol. 230(C).
    8. Wu, Lanmei & Lin, Guoxing & Chen, Jincan, 2010. "Parametric optimization of a solar-driven Braysson heat engine with variable heat capacity of the working fluid and radiation–convection heat losses," Renewable Energy, Elsevier, vol. 35(1), pages 95-100.
    9. Xia, Shaojun & Chen, Lingen & Sun, Fengrui, 2011. "Power-optimization of non-ideal energy converters under generalized convective heat transfer law via Hamilton-Jacobi-Bellman theory," Energy, Elsevier, vol. 36(1), pages 633-646.
    10. Payri, F. & Olmeda, P. & Martín, J. & García, A., 2011. "A complete 0D thermodynamic predictive model for direct injection diesel engines," Applied Energy, Elsevier, vol. 88(12), pages 4632-4641.
    11. Zhao, Yingru & Chen, Jincan, 2006. "Performance analysis and parametric optimum criteria of an irreversible Atkinson heat-engine," Applied Energy, Elsevier, vol. 83(8), pages 789-800, August.
    12. Gonca, Guven, 2016. "Comparative performance analyses of irreversible OMCE (Otto Miller cycle engine)-DiMCE (Diesel miller cycle engine)-DMCE (Dual Miller cycle engine)," Energy, Elsevier, vol. 109(C), pages 152-159.
    13. Mwangi, John Kennedy & Lee, Wen-Jhy & Chang, Yu-Cheng & Chen, Chia-Yang & Wang, Lin-Chi, 2015. "An overview: Energy saving and pollution reduction by using green fuel blends in diesel engines," Applied Energy, Elsevier, vol. 159(C), pages 214-236.
    14. Lin, Jiann-Chang & Hou, Shuhn-Shyurng, 2007. "Influence of heat loss on the performance of an air-standard Atkinson cycle," Applied Energy, Elsevier, vol. 84(9), pages 904-920, September.
    15. Myung, Cha-Lee & Choi, Kwanhee & Kim, Juwon & Lim, Yunsung & Lee, Jongtae & Park, Simsoo, 2012. "Comparative study of regulated and unregulated toxic emissions characteristics from a spark ignition direct injection light-duty vehicle fueled with gasoline and liquid phase LPG (liquefied petroleum ," Energy, Elsevier, vol. 44(1), pages 189-196.
    16. Manfredi Villani & Phillip Aquino, 2020. "Turbulent Flame Geometry Measurements in a Mass-Production Gasoline Direct Injection Engine," Energies, MDPI, vol. 13(1), pages 1-23, January.
    17. Zhang, Shuanlu & Zhao, Changlu & Zhao, Zhenfeng & Ma, Fukang, 2015. "Combustion characteristics analysis of hydraulic free piston diesel engine," Applied Energy, Elsevier, vol. 160(C), pages 761-768.
    18. Song, Jeongwoo & Song, Han Ho, 2022. "Spark-ignition engine speed profile optimization for maximizing the net indicated efficiency and quantitative analysis of the optimal speed profile," Applied Energy, Elsevier, vol. 307(C).
    19. Maroteaux, Fadila & Saad, Charbel, 2013. "Diesel engine combustion modeling for hardware in the loop applications: Effects of ignition delay time model," Energy, Elsevier, vol. 57(C), pages 641-652.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jeners:v:14:y:2021:i:10:p:2870-:d:555545. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.