Both the global steel and chemical industries contribute
largely
to industrial greenhouse gas (GHG) emissions. For both industries,
GHG emissions are strongly related to the consumption of fossil resources.
While the chemical industry often releases GHGs as direct process
emissions, steel mills globally produce 1.78 Gt of off-gases each
year, which are currently combusted for subsequent heat and electricity
generation. However, these steel mill off-gases consist of high value
compounds, which also can be utilized as feedstock for chemical production
and thereby reduce fossil resource consumption and thus GHG emissions.
In the present work, we determine climate-optimal utilization pathways
for steel mill off-gases. We combine a nonlinear, disjunctive model
of the steel mill off-gas separation system with a large-scale linear
model of the chemical industry to perform environmental optimization.
The results show that the climate-optimal utilization of steel mill
off-gases depends on electricity’s carbon footprint: For the
current electricity grid mix, methane, hydrogen, and synthesis gas
are recovered as feedstocks for conventional chemical production and
enable a methanol-based chemical industry. For low electricity footprints
in the future, the separation of steel mill off-gases supports CO2-based production processes in the chemical industry, supplying
up to 30% of the required CO2. By coupling the global steel
and chemical industry, industrial GHG emissions can be reduced by
up to 79 Mt CO2-equivalents per year. These reductions
provide up to 4.5% additional GHG savings compared to a stand-alone
optimization of the two industries, showing a limited potential for
this industrial symbiosis.