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A dynamic nucleate-boiling model for CO2 reduction in internal combustion engines

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  • Bova, Sergio
  • Castiglione, Teresa
  • Piccione, Rocco
  • Pizzonia, Francesco

Abstract

Improvements in cooling system efficiency are required in modern internal combustion engines (ICE). Optimal thermal management presents several advantages in terms of lower pump mechanical power, reduced friction losses and shorter warm-up time, which result in reduced fuel consumptions and CO2 emissions. These goals can be achieved by adopting lower coolant flow rates, which give rise to nucleate boiling regime. The key requirement for a precision cooling strategy is the capability of developing a reliable, model-based control of the cooling regime. However, there is no model of the cooling system of an SI engine, which identifies precisely the onset of the nucleate boiling. This work fills this void.

Suggested Citation

  • Bova, Sergio & Castiglione, Teresa & Piccione, Rocco & Pizzonia, Francesco, 2015. "A dynamic nucleate-boiling model for CO2 reduction in internal combustion engines," Applied Energy, Elsevier, vol. 143(C), pages 271-282.
    • Handle: RePEc:eee:appene:v:143:y:2015:i:c:p:271-282
    DOI: 10.1016/j.apenergy.2015.01.047
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    References listed on IDEAS

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    1. Bishop, Justin D.K. & Martin, Niall P.D. & Boies, Adam M., 2014. "Cost-effectiveness of alternative powertrains for reduced energy use and CO2 emissions in passenger vehicles," Applied Energy, Elsevier, vol. 124(C), pages 44-61.
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    1. Castiglione, Teresa & Pizzonia, Francesco & Piccione, Rocco & Bova, Sergio, 2016. "Detecting the onset of nucleate boiling in internal combustion engines," Applied Energy, Elsevier, vol. 164(C), pages 332-340.
    2. Di Battista, D. & Cipollone, R., 2016. "Experimental and numerical assessment of methods to reduce warm up time of engine lubricant oil," Applied Energy, Elsevier, vol. 162(C), pages 570-580.
    3. Teresa Castiglione & Pietropaolo Morrone & Luigi Falbo & Diego Perrone & Sergio Bova, 2020. "Application of a Model-Based Controller for Improving Internal Combustion Engines Fuel Economy," Energies, MDPI, vol. 13(5), pages 1-22, March.
    4. Yin, Lianhao & Lundgren, Marcus & Wang, Zhenkan & Stamatoglou, Panagiota & Richter, Mattias & Andersson, Öivind & Tunestål, Per, 2019. "High efficient internal combustion engine using partially premixed combustion with multiple injections," Applied Energy, Elsevier, vol. 233, pages 516-523.
    5. Jonas Müller & Nico Besser & Philipp Hermsen & Stefan Pischinger & Jürgen Knauf & Pooya Bagherzade & Johannes Fryjan & Andreas Balazs & Simon Gottorf, 2023. "Virtual Development of Advanced Thermal Management Functions Using Model-in-the-Loop Applications," Energies, MDPI, vol. 16(7), pages 1-26, April.
    6. Yin, Lianhao & Turesson, Gabriel & Tunestål, Per & Johansson, Rolf, 2019. "Evaluation and transient control of an advanced multi-cylinder engine based on partially premixed combustion," Applied Energy, Elsevier, vol. 233, pages 1015-1026.
    7. Junhong Zhang & Zhexuan Xu & Jiewei Lin & Zefeng Lin & Jingchao Wang & Tianshu Xu, 2018. "Thermal Characteristics Investigation of the Internal Combustion Engine Cooling-Combustion System Using Thermal Boundary Dynamic Coupling Method and Experimental Verification," Energies, MDPI, vol. 11(8), pages 1-20, August.
    8. Pizzonia, Francesco & Castiglione, Teresa & Bova, Sergio, 2016. "A Robust Model Predictive Control for efficient thermal management of internal combustion engines," Applied Energy, Elsevier, vol. 169(C), pages 555-566.

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