This thesis discusses recent advances towards the grand unification of process design, con- trol and operational optimization via multi-parametric programming techniques. First the PARametric Optimization and Control (PAROC) framework is presented together with a prototype implementation for the development of advanced receding horizon policies via multi-parametric programming and their closed-loop implementation. It is shown how state- of-the-art multi-parametric programming algorithms are utilized for the development of explicit optimization policies for a variety of problems (including control, estimation and scheduling) based on high-fidelity models and model approximation steps. Two developments are presented towards the integration of design, control and opera- tional optimization within PAROC; (i) the integration of design and control and (ii) the integration of scheduling and control. For (i) we develop receding horizon optimization for- mulations where the design variables are simultaneously considered, resulting in explicit, design–dependent policies which are then included within a Mixed-Integer Dynamic Opti- mization (MIDO) algorithm minimizing operational and investment costs. For (ii), we de- velop scheduling strategies where the process dynamics and corresponding controller designs are simultaneously considered, resulting in explicit control–dependent scheduling schemes. Surrogate/approximate models are proposed to address the time–scale mismatch between the mid–term schedule and the short–term control optimization problem. Finally, the inte- gration of (i) and (ii) is shown within an overall dynamic optimization problem. The developments are presented via a domestic cogeneration heat and power (CHP) system example and case studies of a tank, a continuously stirred tank reactor and a binary distillation column.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:721578 |
| Date | January 2016 |
| Creators | Diangelakis, Nikolaos |
| Contributors | Pistikopoulos, Efstratios ; Mantalaris, Sakis |
| Publisher | Imperial College London |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Source | http://hdl.handle.net/10044/1/49460 |
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