Vaporization modeling of petroleum-biofuel drops using a hybrid multi-component approach

被引:30
作者
Zhang, Lei [1 ]
Kong, Song-Charng [1 ]
机构
[1] Iowa State Univ, Dept Mech Engn, Ames, IA 50011 USA
关键词
Multi-component vaporization; Petroleum-biofuel blends; Biodiesel properties; FUEL VAPORIZATION; METHYL-ESTERS; BIODIESEL; COMBUSTION; DROPLETS; PRESSURE; PERFORMANCE;
D O I
10.1016/j.combustflame.2010.05.011
中图分类号
O414.1 [热力学];
学科分类号
摘要
Numerical modeling of the vaporization characteristics of multi-component fuel mixtures is performed in this study. The fuel mixtures studied include those of binary components, biodiesel, diesel-biodiesel, and gasoline-ethanol. The use of biofuels has become increasingly important for reasons of environmental sustainability. Biofuels are often blended with petroleum fuels, and the detailed understanding of the vaporization process is essential to designing a clean and efficient combustion system. In this study, a hybrid vaporization model is developed that uses continuous thermodynamics to describe petroleum fuels and discrete components to represent biofuels. The model is validated using the experimental data of n-heptane, n-heptane-n-decane mixture, and biodiesel. Since biodiesel properties are not universal due to the variation in feedstock, methods for predicting biodiesel properties based on the five dominant fatty acid components are introduced. Good levels of agreement in the predicted and measured drop size histories are obtained. Furthermore, in modeling the diesel-biodiesel drop, results show that the drop lifetime increases with the biodiesel concentration in the blend. During vaporization, only the lighter components of diesel fuel vaporize at the beginning. Biodiesel components do not vaporize until some time during the vaporization process. On the other hand, results of gasoline-ethanol drops indicate that both fuels start to vaporize once the process begins. At the beginning, the lighter components of gasoline have a slightly higher vaporization rate than ethanol. After a certain time, ethanol vaporizes faster than the remaining gasoline components. At the end, the drop reduces to a regular gasoline drop with heavier components. Overall, the drop lifetime increases as the concentration of ethanol increases in the drop due to the higher latent heat. (C) 2010 The Combustion Institute. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:2165 / 2174
页数:10
相关论文
共 50 条
  • [31] Investigation and modeling of a hybrid petroleum refinery wastewater treatment system using neural networks
    Mokhtari, Habib A.
    Mirbagheri, Sayed Ahmad
    Gisou, Narjes
    Ehteshami, Majid
    DESALINATION AND WATER TREATMENT, 2020, 198 : 108 - 118
  • [32] OPTIMIZATION OF CYCLE AND EXPANDER DESIGN OF AN ORGANIC RANKINE CYCLE UNIT USING MULTI-COMPONENT WORKING FLUIDS
    Meroni, Andrea
    Andreasen, Jesper Graa
    Pierobon, Leonardo
    Haglind, Fredrik
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBINE TECHNICAL CONFERENCE AND EXPOSITION, 2016, VOL 3, 2016,
  • [33] Effects of using multi-component electrolytes on the stability and properties of solar cells sensitized with simple organic dyes
    Giannouli, M.
    Syrrokostas, G.
    Yianoulis, P.
    PROGRESS IN PHOTOVOLTAICS, 2010, 18 (02): : 128 - 136
  • [34] Study on multi-component particle behaviour in a hydrocyclone classifier using experimental and computational fluid dynamics techniques
    Padhi, Mandakini
    Mangadoddy, Narasimha
    Sreenivas, T.
    Vakamalla, Teja Reddy
    Mainza, A. N.
    SEPARATION AND PURIFICATION TECHNOLOGY, 2019, 229
  • [35] Controlling the functional performance of emulsion-based delivery systems using multi-component biopolymer coatings
    Li, Yan
    Hu, Min
    Xiao, Hang
    Du, Yumin
    Decker, Eric Andrew
    McClements, David Julian
    EUROPEAN JOURNAL OF PHARMACEUTICS AND BIOPHARMACEUTICS, 2010, 76 (01) : 38 - 47
  • [36] Low dissipative finite difference hybrid scheme by discontinuity sensor of detecting shock and material interface in multi-component compressible flows
    Koga, Kazuki
    Kajishima, Takeo
    JOURNAL OF COMPUTATIONAL PHYSICS, 2022, 448
  • [37] Coupling principal component analysis-based sensor data reduction techniques and multi-net systems for simultaneous prediction of multi-component degradation levels in hybrid electric rotorcraft engines
    De Giorgi, Maria Grazia
    Donateo, Teresa
    Ficarella, Antonio
    Menga, Nicola
    Chiodo, Ludovica Spada
    Strafella, Luciano
    MEASUREMENT, 2024, 227
  • [38] Precise prediction of methane-ethane adsorption in shale nanopores using multi-component models and machine learning
    Zhou, Yu
    Li, Xiaoping
    Xin, Qingxi
    Wang, Jiale
    Jing, Dengwei
    PHYSICS OF FLUIDS, 2024, 36 (09)
  • [39] Ignition delay times of ethanol-containing multi-component gasoline surrogates: Shock-tube experiments and detailed modeling
    Cancino, L. R.
    Fikri, M.
    Oliveira, A. A. M.
    Schulz, C.
    FUEL, 2011, 90 (03) : 1238 - 1244
  • [40] Hierarchical multi-component nanofiber separators for lithium polysulfide capture in lithium-sulfur batteries: an experimental and molecular modeling study
    Zhu, Jiadeng
    Yildirim, Erol
    Aly, Karim
    Shen, Jialong
    Chen, Chen
    Lu, Yao
    Jiang, Mengjin
    Kim, David
    Tonelli, Alan E.
    Pasquinelli, Melissa A.
    Bradford, Philip D.
    Zhang, Xiangwu
    JOURNAL OF MATERIALS CHEMISTRY A, 2016, 4 (35) : 13572 - 13581