Reference : Surrogate Generation and Evaluation for Biodiesel and Its Mixtures with Fossil Diesel
Scientific journals : Article
Engineering, computing & technology : Chemical engineering
http://hdl.handle.net/2268/211940
Surrogate Generation and Evaluation for Biodiesel and Its Mixtures with Fossil Diesel
English
Reiter, Anton M. []
Schubert, Nikolai []
Pfennig, Andreas mailto [Université de Liège > Department of Chemical Engineering > PEPs - Products, Environment, and Processes >]
Wallek, Thomas []
2-May-2017
Energy & Fuels
American Chemical Society
31
6173-6181
Yes
International
0887-0624
1520-5029
[en] fuel ; thermodynamic properties ; boiling-point curve ; renewable energy
[en] 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.
Researchers ; Professionals ; Others
http://hdl.handle.net/2268/211940
10.1021/acs.energyfuels.7b00603
http://pubs.acs.org/doi/abs/10.1021/acs.energyfuels.7b00603

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