(667g) Integration of Design, Scheduling and Control Under Uncertainty Via Model Based Multi-Parametric Programming
AIChE Annual Meeting
Thursday, November 2, 2017 - 9:42am to 9:59am
In this work, we present a unified framework to determine the long term optimal operation strategy of a process while accounting for the short term control and middle term scheduling decisions under process and market uncertainties. Based on (i) a single high-fidelity model, (ii) multi-parametric Rolling Horizon Optimization (mp-RHO) policies to readjust for the changing market structures and, (iii) multi-parametric Model Predictive Control (mp-MPC) for efficient set point tracking, we derive (i) design dependent and scheduling aware control strategies, and (ii) scheduling strategies that are design dependent and control aware. The framework is illustrated with three example problems of increasing complexity, (i) an isothermal continuous ow stirred tank reactor (CSTR) with multiple reactants and multiple products, (ii) two CSTRs in parallel to demonstrate resource allocation, and (iii) a system involving multiple residential heat and power (CHP) units.
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