Accurate hydrogenated vegetable oil viscosity predictions for monolith reactor simulations

Pierre Albrand (1) , Carine Julcour-Lebigue (1) , Vincent Gerbaud (1) , Anne-Marie Billet (1)

1 LGC - Laboratoire de Génie Chimique

The viscosity of edible oils was measured before and after hydrogenation to assess a new model for predicting the viscosity of partially hydrogenated oils with given saturation degree and temperature. This contribution group model is based on a semi-predictive approach, and can be used to estimate viscosity changes due to hydrogenation. It was experimentally validated using three different oils, and the results show an overall relative average deviation of 3.7%. The model was implemented in a transient CFD simulation of a three-phase monolith catalytic reactor for edible oil hydrogenation. Hydrogenation in Taylor flow was described with the unit cell approach. The influence of viscosity changes on the reaction yield and selectivity were investigated in relation with the coupling between hydrodynamics, mass transfer, and reaction kinetics. This effect proved to be significant in the former case; the reactor length was increased by a factor 1.5, yielding approximately 30% conversion.

Mots clés: Hydrogenation; Taylor flow; Edible oil; Viscosity; Monolith reactor; Three-phase catalytic reactor

Domaines: Génie chimique

Pierre Albrand, Carine Julcour-Lebigue, Vincent Gerbaud, Anne-Marie Billet. Accurate hydrogenated vegetable oil viscosity predictions for monolith reactor simulations. Chemical Engineering Science, 2020, 214, pp.115388. ⟨10.1016/j.ces.2019.115388⟩. ⟨hal-02735452⟩