Abstract
The goal of this paper is to present a multiobjective model to optimize the blend of virgin oils for biodiesel production, minimizing costs and life-cycle Greenhouse Gas (GHG) emissions. Prediction models for biodiesel properties based on the chemical composition of the oils were used to establish technical constraints of the model. Biodiesel produced in Portugal from palm, rapeseed and/or soya was used as a case study. The model was solved using the Ɛ-constraint method and the resulting Pareto curve reveals the trade-off between costs and GHG emissions, from which it was possible to calculate GHG abatement costs. Illustrative results are presented: GHG emissions (not accounting for direct and indirect Land Use Change -LUC) and biodiesel production costs (focused on oil feedstock). Analyzing the blends along the Pareto curve, a reduction in GHG emissions is obtained by progressively replacing rapeseed by soya and reducing the palm share in the blend used for biodiesel production.
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