Imperial College London
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Prof. Sandro Macchietto

Faculty of Engineering, Department of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6608s.macchietto Website

 
 
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Assistant

 

Mrs Sarah Payne +44 (0)20 7594 5567

 
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Location

 

ACEX 507aACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Santamaria:2020:10.3390/pr8121623,
author = {Santamaria, FL and Macchietto, S},
doi = {10.3390/pr8121623},
journal = {Processes},
pages = {1--33},
title = {Stability of optimal closed-loop cleaning scheduling and control with application to heat exchanger networks under fouling},
url = {http://dx.doi.org/10.3390/pr8121623},
volume = {8},
year = {2020}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Heat exchanger networks subject to fouling are an important example of dynamic systems where performance deteriorates over time. To mitigate fouling and recover performance, cleanings of the exchangers are scheduled and control actions applied. Because of inaccuracy in the models, as well as uncertainty and variability in the operations, both schedule and controls often have to be revised to improve operations or just to ensure feasibility. A closed-loop nonlinear model predictive control (NMPC) approach had been previously developed to simultaneously optimize the cleaning schedule and the flow distribution for refinery preheat trains under fouling, considering their variability. However, the closed-loop scheduling stability of the scheme has not been analyzed. For practical closed-loop (online) scheduling applications, a balance is usually desired between reactivity (ensuring a rapid response to changes in conditions) and stability (avoiding too many large or frequent schedule changes). In this paper, metrics to quantify closed-loop scheduling stability (e.g., changes in task allocation or starting time) are developed and then included in the online optimization procedure. Three alternative formulations to directly include stability considerations in the closed-loop optimization are proposed and applied to two case studies, an illustrative one and an industrial one based on a refinery preheat train. Results demonstrate the applicability of the stability metrics developed and the ability of the closed-loop optimization to exploit trade-offs between stability and performance. For the heat exchanger networks under fouling considered, it is shown that the approach proposed can improve closed-loop schedule stability without significantly compromising the operating cost. The approach presented offers the blueprint for a more general application to closed-loop, model-based optimization of scheduling and control in other processes.
AU  - Santamaria,FL
AU  - Macchietto,S
DO  - 10.3390/pr8121623
EP  - 33
PY  - 2020///
SN  - 2227-9717
SP  - 1
TI  - Stability of optimal closed-loop cleaning scheduling and control with application to heat exchanger networks under fouling
T2  - Processes
UR  - http://dx.doi.org/10.3390/pr8121623
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000602555500001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - https://www.mdpi.com/2227-9717/8/12/1623
UR  - http://hdl.handle.net/10044/1/85738
VL  - 8
ER  -
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