This work proposes a novel methodology
for the optimization of industrial waste-to-energy networks, combining
logistic, site management, and process elements into a single mixed-integer
linear problem (MILP) formulation. The developed model is validated
with real information stemming from industrial and institutional partners
and consequently applied to a multisite case study covering the whole
Swiss industrial waste-to-energy network. Due to the sparse nature
of its chemical and pharmaceutical industry, and to centralized incineration
facilities, this can be considered as an ideal case for testing the
application of developed methodology to complex systems. A set of
objective functions is used to investigate the implications of diverging
goals on economic, environmental, and safety aspects, with particular
focus on investments and possible synergies. Results indicate the
importance of investments in oxy-combustion that, together with a
more cooperative management of the network including the cement industry,
enable a more local waste treatment with a consequent reduction of
shipments.