Multi-Objective Optimization of Blending Strategy of FAME, HVO, and Petroleum Diesel

Abstract

Abstract The utilization of biofuels based on palm oil could decrease greenhouse gasses (GHG) emitted by fossil fuels. The aim of this research is on the optimization of blending strategy of Fatty Acid Methyl Esters (FAME), Hydrogenated Vegetable Oil (HVO), Diesel CN48 (DCN48), and Diesel CN53 (DCN53) to meet the fuel quality standard, Euro2 and Euro4 by minimizing levelized cost of fuel supply and GHG emission. The process simulation is performed by Aspen Plus software, proceed by Life Cycle Analysis (LCA) calculation. The optimization is carried out by General Algebraic Modelling System (GAMS) with Cplex solver. The result showed the percentage of the optimal blending composition of fuel quality Euro2 were FAME 43.9-51.1%, HVO 2.6-40.1%, DCN48 15.3-17.6%, and DCN53 46.3-100% with LCOE was 0.55-0.864 USD/Liter and GHG intensity 599.46-3000.78 gCO2eq/Liter. For Euro4 specification consists of FAME 32.5%, HVO 28.6%, and DCN53 38.8% with LCOE were 0.637-0.786 USD/Liter and GHG intensity of 902.69-2863.03 gCO2eq/Liter.