Simulation results for the conventionally-used sequential and simultaneous approaches

Simultaneous dynamic optimization. In order to validate this approach, the sjm-thesis of MTBE is used as case study. Three spatial variables and sixteen control-related parameters were optimized during a time horizon of 14400 s. A tradeoff between control and economic performances exists in the design of RD processes, as shown in table 6.5. The design optimized sequentially with respect to dynamic behavior led to a RD process 

The sixth design space of the multiechelon approach (c/. chapter 4) in reactive distillation is the focus of this chapter. After having defined the spatial and control structmes the process behavior in steady-state and dynamic domains are now addressed. The input and output information flow at this design space is detailed on table 7.1. 

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Table 6.5. Simulation results for the conventionally-used sequential and simultaneous approaches. Remarks inputs of the design problem are given in table 6.4 the notation used in the control loops corresponds to the description of table 6.3 and figure 6.5 the convergence tolerance of the design variables is 1 -10 catalyst hold-up is considered constant (relaxation of this assumption is addressed in chapter 8).

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