Control and operation of heat exchanger networks using model predictive control

L. Giovanini, J. Balderud

Research output: Contribution to conferencePaper


While, during the past decades, many strategiesfor heat exchanger network synthesis and design have beendeveloped, much less effort have been dedicated to developingonline optimal control strategies to tackle their complex anddistributed dynamics. Since past optimal control design effortspredominately revolves around centralized control ideas theytypically suffer from high computational demands. By con-trast, this paper proposes an agent based decentralized predic-tive control approach, where the computational demand isdistributed between several agents. This paper also exploresthe computational demand associated with the proposed ap-proach and compares it against a traditional, centralized, pre-dictive control approach
Original languageEnglish
Number of pages6
Publication statusPublished - Nov 2006
Event 2nd International Workshop on Networked Control Systems - Rende, Italy
Duration: 23 Nov 200624 Nov 2006


Conference 2nd International Workshop on Networked Control Systems


  • control
  • operation
  • heat exchanger networks
  • model predictive control

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