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Correlation and prediction of biodiesel density for extended ranges of temperature and pressure

机译：温度和压力范围扩大时生物柴油密度的相关性和预测

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摘要

The knowledge of biodiesel density over large ranges of temperature and pressure is important for predicting the behavior of fuel injection and combustion systems in diesel engines, and for the optimization of such systems. In this study, cottonseed oil was transesterified into biodiesel and its density was measured at temperatures between 288 K and 358 K and pressures between 0.1 MPa and 30 MPa, with expanded uncertainty estimated as ±1.6 kg m~(-3). Experimental pressure-volume-temperature (pVT) cottonseed data was used along with literature data relative to other 18 biodiesels, in order to build a database used to test the correlation of density with temperarure and pressure using the Goharshadi-Morsali-Abbaspour equation of state (GMA EoS). To our knowledge, this is the first that density measurements are presented for cottonseed biodiesel under such high pressures, and the GMA EoS used to model biodiesel density. The new tested EoS allowed correlations within 0.2 kg m~(-3) corresponding to average relative deviations within 0.02%. From these results of correlation with the GMA EoS mechanical coefficients such as thermal expansivity, isothermal compressibility and internal pressure were calculated. In spite of their effect in power and fuel injection, those properties are rarely presented for biodiesel, especially at high pressures. As a remarkable result of this study, it was found a crossing point for the thermal expansivity, where isothermic curves cross. The built database was used to develop and test two new full predictive models valid up to 373 K and 130 MPa. One of the proposed predictive methods (4PGMA) followed from the GMA EoS, and the other (DU) was derived from the observed linear relation between density and degree of unsaturation (DU), which depended from biodiesel FAMEs profile. The average density deviation of 4PGMA was only about 2 kg m~(-3), and 3 kg m~(-3) for the DU method within the temperature and pressure limits of application. These results represent appreciable improvements in the context of density prediction at high pressure when compared with other equations of state.
机译：在很大的温度和压力范围内，生物柴油密度的知识对于预测柴油机中燃油喷射和燃烧系统的行为以及优化此类系统非常重要。在这项研究中，棉籽油被酯交换成生物柴油，并在288 K和358 K之间的温度和0.1 MPa和30 MPa之间的压力下测量了其密度，不确定性估计为±1.6 kg m〜（-3）。实验压力-体积-温度（pVT）棉籽数据与其他18个生物柴油的文献数据一起使用，以建立一个数据库，用于使用Goharshadi-Morsali-Abbaspour状态方程测试密度与温度和压力的相关性（GMA EoS）。据我们所知，这是首次在如此高的压力下对棉籽生物柴油进行密度测量，并使用GMA EoS来模拟生物柴油密度。新测试的EoS允许相关性在0.2 kg m〜（-3）之内，对应于0.02％的平均相对偏差。从这些与GMA EoS的相关性结果计算出机械系数，例如热膨胀率，等温压缩率和内部压力。尽管它们对动力和燃料喷射有影响，但对于生物柴油却很少表现出这些特性，尤其是在高压下。作为这项研究的显著结果，发现了等温曲线交叉的热膨胀率交叉点。所建立的数据库用于开发和测试两个新的完全预测模型，有效期最高为373 K和130 MPa。 GMA EoS之后是一种建议的预测方法（4PGMA），另一种（DU）是根据观察到的密度与不饱和度（DU）之间的线性关系得出的，这取决于生物柴油FAMEs曲线。 4PGMA的平均密度偏差仅为2 kg m〜（-3），而DU法在应用温度和压力范围内为3 kg m〜（-3）。与其他状态方程相比，这些结果表示在高压下密度预测的背景下有明显的改善。

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  • 来源
    《Fuel》 |2015年第1期|23-38|共16页
  • 作者

    Nieves M.C.T. Prieto; Abel G.M. Ferreira; Antonio T.G. Portugal; Rui J. Moreira; Jaime B. Santos;

  • 作者单位

    Department of Chemical Engineering, University of Coimbra, Polo Ⅱ, Rua Silvio Lima, 3030-970 Coimbra, Portugal;

    Department of Chemical Engineering, University of Coimbra, Polo Ⅱ, Rua Silvio Lima, 3030-970 Coimbra, Portugal;

    Department of Chemical Engineering, University of Coimbra, Polo Ⅱ, Rua Silvio Lima, 3030-970 Coimbra, Portugal;

    Department of Chemical Engineering, University of Coimbra, Polo Ⅱ, Rua Silvio Lima, 3030-970 Coimbra, Portugal;

    Department of Electrical and Computers Engineering, University of Coimbra, Polo Ⅱ, Rua Silvio Lima, 3030-970 Coimbra, Portugal;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Biodiesel; Density; GMA equation of state; Correlation; Prediction;

    机译：生物柴油密度;GMA状态方程;相关性预测;

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