Journal
CHEMICAL ENGINEERING SCIENCE
Volume 136, Issue -, Pages 115-138Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2015.02.030
Keywords
Multi-parametric programming; Design and control; Scheduling and; Control; Software platform
Categories
Funding
- EPSRC [EP/G059071/1, EP/I014640]
- European Commission [280813, 294987]
- EPSRC [EP/G059071/1] Funding Source: UKRI
- Engineering and Physical Sciences Research Council [1364354, EP/G059071/1] Funding Source: researchfish
Ask authors/readers for more resources
In this paper we present the main foundations and features of an integrated framework and software platform that enables the use of model-based tools in design, operational optimisation and advanced control studies. A step-wise procedure is outlined involving (i) the development of a high-fidelity dynamic model, and its validation and model analysis, (ii) a model approximation step, including system identification, model reduction and global sensitivity analysis, (iii) a receding horizon modelling step for model-predictive control (MPC) and reactive scheduling, (iv) a suite of multi-parametric programming techniques for optimisation under uncertainty, explicit/multi-parametric MPC and state-estimation and (v) an 'in-silico' validation step for the derived optimisation, control and/or scheduling strategies to be analysed within the original high-fidelity model. The proposed software platform, PAROC, is also introduced and demonstrated in three different classes of process systems engineering applications; a combined heat and power energy system, a distillation column and a periodic purification process for biopharmaceuticals. (C) 2015 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available