In
this paper a precedently developed surrogate optimization algorithm
for fossil fuels, which originally allowed simultaneous fitting of
the true boiling point (TBP) curve, the liquid density at 15 °C,
and the cetane number, is refined toward its application to biodiesel
and its mixtures with fossil diesel. For this purpose, the algorithm
is extended (1) to also include fitting of the kinematic viscosity
at 40 °C and (2) to account for peculiarities of biodiesel concerning
its narrow boiling range and compensation of systematic errors of
measured boiling curves. To illustrate these improvements, first,
the algorithm is applied to property estimation and surrogate optimization
of three different biodiesel fuels, for which surrogates consisting
of one to three components are proposed. Second, a surrogate for a
commercial European fossil diesel is calculated and produced in lab-scale.
Finally, the algorithm is used for surrogate optimization and property
estimation of mixtures of biodiesel and fossil diesel, considering
fractions of biodiesel of 7% and 20% per volume. It is shown that
the improved algorithm is capable of reliably optimizing surrogates
for fuels containing both biogenic and fossil components.
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