In
this article, a novel simulation–optimization method
is proposed for the simultaneous design of a heat-integrated coal-to-SNG/MeOH
(CTSM) polygeneration process, aiming at exergy efficiency enhancement.
The genetic algorithm is adopted to simultaneously optimize the presented
polygeneration process, which combines the key reaction units based
on rigorous kinetic modeling and simulation with a waste heat recovery
steam cycle (WHRSC). A heat integration approach that considers variable
stream conditions is introduced to connect CTSM and WHRSC. In developing
this approach, an extended Duran–Grossmann (D–G) model
is established, which incorporates the isothermal phase change and
nonisothermal phase change. The interaction mechanism between process
synthesis and heat integration is further explored. Compared with
the base case obtained by a sequential method, the presented method
yields a 2.22 percentage point increase in the overall exergy efficiency
and a 44.05% improvement of power generation. In this sense, the utility
consumption in the polygeneration process can be sharply reduced and
even achieve zero hot utility consumption. The corresponding heat
exchanger network is determined that consists of 56 heat exchangers
and 7 coolers with a total area of 93 763 m2. Furthermore,
the interaction among different process units reveals that process
synthesis has a stronger effect on heat integration.