Control and Operation of Heat Exchanger Networks using Model Predictive Control

GIOVANINI L, BALDERUD J

Rende, Italia

Workshop; International Workshop on Networked Control Systems; 2006

University of Calabria

While, during the past decades, many strategies for heat exchanger network synthesis and design have been developed, much less effort have been dedicated to developing online optimal control strategies to tackle their complex and distributed dynamics. Since past optimal control design efforts predominately revolves around centralized control ideas they typically suffer from high computational demands. By contrast, this paper proposes an agent based decentralized predictive control approach, where the computational demand is distributed between several agents. This paper also explores the computational demand associated with the proposed approach and compares it against a traditional, centralized, predictive control approach.