Formic
acid production through methyl formate hydrolysis has been
shown to be energy and capital cost intensive, and its performance
could be significantly promoted by process intensification. However,
integration of reaction and separation exhibits a complex nonlinear
behavior, which requires corresponding optimization and control to
be effectively addressed before further industrial implementation.
In the present work, optimization was first performed for a conventional
reactive distillation (RD) process and reactive dividing wall column
(RDWC) by coupling genetic algorithm and rigorous simulations, in
which a user-defined model was incorporated to take kinetics into
account. Although the results demonstrate that RDWC is inferior to
RD in terms of economic criteria, it provides the basis for proposing
new easy-to-operate configurations in the subsequent part 2 of this
series. Then multiloop proportional–integral (PI) control structures
and linear model predictive control (MPC) schemes were designed for
the conventional RD process and RDWC, respectively. The performances
of two control structures were compared subject to feed disturbance,
by using quantitative indexes such as oscillation, settling time,
overshoot, and integral of the squared error (ISE). The dynamic response
validates that MPC outperforms classical multiloop control schemes
and could tackle the excessive overshoot deficiency in PI control
for both the conventional RD process and RDWC.