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the three groups of refineries described here, the major difference
in the energy intensity is the amount of purchased natural gas for
utilities and hydrogen production, while the sum of feed refinery
inputs are generally constant. Thus, in principle, GHG intensive
refineries have the capacity to reduce life-cycle GHG emissions if
process fuels can be derived from renewable sources (e.g., renew-
able natural gas from anaerobic digestion of organic waste) instead
of fossil-fuel based natural gas, even though supplying a noticeable
amount of renewable process fuels to refineries is challenging and
may affect the economics of refineries adversely.
Systematic disaggregation of GHG emissions by each fuel-cycle
stage revealed the impacts of technical variations in refineries in
the refining life-cycle stage. Refineries with higher resource effi-
ciency tend to process heavier crude and yield more of the gasoline
and distillate, but are generally less energy-efficient and produce
more GHG emissions compared to refineries with higher HP yield,
i.e., less resource-efficient.
Although the results of this study are limited to assessment of
the investigated group of refineries, this work has shown that by
grouping refineries into different groups it is possible to simplify
the understanding of refinery energy and GHG intensities. These
results highlight the GHG emissions cost a refiner pays to process
deep into the barrel to produce more of the desired fuels (gasoline
and distillate). Within the context of possible future policy scenar-
ios, these results would likely be very different if refiners opti-
mized for GHG emissions in addition to profit. Despite this, it is
clear that even if a refiner produced more HP for export at the
expense of gasoline and distillate, these HP (with higher carbon
Fig. 6. Life-cycle GHG emissions of gasoline, diesel, and residual fuel oil, as well as overall petroleum products for each group of refineries.
J. Han et al. / Fuel 157 (2015) 292–298
297
content) will ultimately be consumed in the wider economy, pro-
ducing additional GHG emissions. Further work can complement
this study to better understand the environmental implications
of crude sourcing and refinery yields in various markets.
Acknowledgment
We gratefully acknowledge the support of Sasol Synfuels
International and Jacobs Consultancy by providing data and giving
permission to publish this manuscript. This research effort by
Argonne National Laboratory was supported by the Bioenergy
Technology Office and the Vehicle Technology Office of the US
Department
of
Energy’s
Office
of
Energy
Efficiency
and
Renewable Energy under Contract Number DE-AC02-06CH11357.
Appendix A. Supplementary material
Supplementary data associated with this article can be found, in
the online version, at http://dx.doi.org/10.1016/j.fuel.2015.03.038.
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