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A simple model to predict the biodiesel blend density as simultaneous function of blend percent and temperature

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Abstract

A simple method to estimate the density of biodiesel blend as simultaneous function of temperature and volume percent of biodiesel is proposed. Employing the Kay’s mixing rule, we developed a model and investigated theoretically the density of different vegetable oil biodiesel blends as a simultaneous function of temperature and volume percent of biodiesel. Key advantage of the proposed model is that it requires only a single set of density values of components of biodiesel blends at any two different temperatures. We notice that the density of blend linearly decreases with increase in temperature and increases with increase in volume percent of the biodiesel. The lower values of standard estimate of error (SEE = 0.0003–0.0022) and absolute average deviation (AAD = 0.03–0.15 %) obtained using the proposed model indicate the predictive capability. The predicted values found good agreement with the recent available experimental data.

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Acknowledgments

This work is supported by University Grants Commission (UGC), New Delhi, India.

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The authors declare that they have no conflict of interest.

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Correspondence to R. G. Vaidya.

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Responsible editor: Philippe Garrigues

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Gaonkar, N., Vaidya, R.G. A simple model to predict the biodiesel blend density as simultaneous function of blend percent and temperature. Environ Sci Pollut Res 23, 9260–9264 (2016). https://doi.org/10.1007/s11356-015-4803-1

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Keywords

  • Biofuel
  • Biodiesel
  • Blend
  • Renewable energy