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Exergy analysis of diesel/biodiesel combustion in a homogenous charge compression ignition (HCCI) engine using three-dimensional model

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  • Jafarmadar, Samad
  • Nemati, Peyman

Abstract

Exergy analysis gives the presentation of a system relative to its best performance. In addition, the exergy destructed can react with its surrounding and harm environment processes. This study investigated the effect of biodiesel fuel blended with diesel fuel (i.e. 0%, 20%, and 50% blending of biodiesel fuel with conventional diesel fuel) on various exergy terms in an HCCI engine. To model the energy balance a 3-D CFD code was utilized. Using energy and combustion analyses results, the researchers calculated various exergy terms by developing a FORTRAN based code. To ensure the integrity of modeling, the results of the in-cylinder pressure and heat release rate were compared with the experimental results for pure diesel fuel. This comparison indicated a good agreement between the two. With crank position at three fuel compositions, different rates of exergy and cumulative exergy terms were identified and calculated separately. With the increase in the biodiesel volume percentage from 0% to 20% and 50%, exergy efficiency increased by 4.9% and 5.7%. Also, the cumulative heat loss exergy decreased by 4.4% and 9.7%, respectively.

Suggested Citation

  • Jafarmadar, Samad & Nemati, Peyman, 2016. "Exergy analysis of diesel/biodiesel combustion in a homogenous charge compression ignition (HCCI) engine using three-dimensional model," Renewable Energy, Elsevier, vol. 99(C), pages 514-523.
    • Handle: RePEc:eee:renene:v:99:y:2016:i:c:p:514-523
    DOI: 10.1016/j.renene.2016.07.034
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    References listed on IDEAS

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    1. Amjad, A.K. & Khoshbakhi Saray, R. & Mahmoudi, S.M.S. & Rahimi, A., 2011. "Availability analysis of n-heptane and natural gas blends combustion in HCCI engines," Energy, Elsevier, vol. 36(12), pages 6900-6909.
    2. Saxena, Samveg & Shah, Nihar & Bedoya, Ivan & Phadke, Amol, 2014. "Understanding optimal engine operating strategies for gasoline-fueled HCCI engines using crank-angle resolved exergy analysis," Applied Energy, Elsevier, vol. 114(C), pages 155-163.
    3. Gan, Suyin & Ng, Hoon Kiat & Pang, Kar Mun, 2011. "Homogeneous Charge Compression Ignition (HCCI) combustion: Implementation and effects on pollutants in direct injection diesel engines," Applied Energy, Elsevier, vol. 88(3), pages 559-567, March.
    4. Saxena, Samveg & Vuilleumier, David & Kozarac, Darko & Krieck, Martin & Dibble, Robert & Aceves, Salvador, 2014. "Optimal operating conditions for wet ethanol in a HCCI engine using exhaust gas heat recovery," Applied Energy, Elsevier, vol. 116(C), pages 269-277.
    5. Rakopoulos, C.D & Kyritsis, D.C, 2001. "Comparative second-law analysis of internal combustion engine operation for methane, methanol, and dodecane fuels," Energy, Elsevier, vol. 26(7), pages 705-722.
    6. Rezaei, Javad & Shahbakhti, Mahdi & Bahri, Bahram & Aziz, Azhar Abdul, 2015. "Performance prediction of HCCI engines with oxygenated fuels using artificial neural networks," Applied Energy, Elsevier, vol. 138(C), pages 460-473.
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    Cited by:

    1. Pachiannan, Tamilselvan & Zhong, Wenjun & Rajkumar, Sundararajan & He, Zhixia & Leng, Xianying & Wang, Qian, 2019. "A literature review of fuel effects on performance and emission characteristics of low-temperature combustion strategies," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
    2. Krishnamoorthi, M. & Malayalamurthi, R., 2017. "Experimental investigation on performance, emission behavior and exergy analysis of a variable compression ratio engine fueled with diesel - aegle marmelos oil - diethyl ether blends," Energy, Elsevier, vol. 128(C), pages 312-328.
    3. Taghavifar, Hadi & Nemati, Arash & Salvador, F.J. & De la Morena, J., 2019. "Improved mixture quality by advanced dual-nozzle, included-angle split injection in HSDI engine: Exergetic exploration," Energy, Elsevier, vol. 167(C), pages 211-223.
    4. Bahman Najafi & Sina Faizollahzadeh Ardabili & Amir Mosavi & Shahaboddin Shamshirband & Timon Rabczuk, 2018. "An Intelligent Artificial Neural Network-Response Surface Methodology Method for Accessing the Optimum Biodiesel and Diesel Fuel Blending Conditions in a Diesel Engine from the Viewpoint of Exergy and," Energies, MDPI, vol. 11(4), pages 1-18, April.
    5. Karthickeyan, V., 2019. "Effect of combustion chamber bowl geometry modification on engine performance, combustion and emission characteristics of biodiesel fuelled diesel engine with its energy and exergy analysis," Energy, Elsevier, vol. 176(C), pages 830-852.

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