Increasing
renewable carbon incorporation into conventional fuels
through coprocessing with vacuum gas oil (VGO, a petroleum refining
feedstock) is a critical step in biofuel development, scaling-up,
adoption, and associated GHG reduction. Optimization of the coprocessing
parameters maximizes incorporation of the renewable carbon in the
fuel products. Quantitative determination of the renewable carbon
content in the coprocessed products provides direct evaluation of
these parameters. The coprocessing bio-oil with VGO through hydrocracking
(HC) or fluid catalytic cracking (FCC) system resulted in carbon isotopic
fractionation that prevented the direct use of the isotope-mixing
model for quantifying the renewable carbon. Here, we report an algorithm
of using a stable carbon isotope approach to quantify the renewable
carbon content in coprocessing biofuel products through high-precision
δ13C analysis. A controlled experiment carried out
by blending a fossil diesel (−29.013‰) with a biodiesel
(−30.099‰) at various blending levels up to 98.0/2.0
wt % is presented and has demonstrated the applicability of this approach.
The carbon isotope fractionation factors for the bio-oil coprocessing
were obtained by using a 14C-derived isotope-mixing model.
The δ13C method was tested by coprocessing 13C-labeled biocrude and natural woody biomass-derived fast pyrolysis
(FP) and catalytic fast pyrolysis (CFP) bio-oils with VGO. The results
were verified by 14C accelerator mass spectrometry (AMS)
method (ASTM-D6866) and compared with the yield mass balance method.
Strong agreement between δ13C and 14C
AMS methods demonstrated the applicability of the δ13C method to quantify renewable carbon content in coprocessing fuel
products and guide the coprocessing optimization.