Imperial College London
Portrait Picture

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:2018:10.1021/acs.iecr.8b01701,
author = {Santamaria, FL and Macchietto, S},
doi = {10.1021/acs.iecr.8b01701},
journal = {Industrial & Engineering Chemistry Research},
pages = {12842--12860},
title = {Integration of optimal cleaning scheduling and control of heat exchanger networks undergoing fouling: Model and formulation},
url = {http://dx.doi.org/10.1021/acs.iecr.8b01701},
volume = {57},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The performance and operability of heat exchanger networks (HENs) is strongly affected by fouling, which involves the deposition of unwanted material, which reduces the heat-transfer rate and increases the pressure drop, the operational costs, and the environmental impact of the process. Periodical cleaning and control of the flow rate distribution in the HEN are used to mitigate the effects of fouling and restore the performance of the units. The optimal cleaning scheduling has been formulated as a mixed-integer linear programming (MILP) or mixed-integer nonlinear programming (MINLP) problem and is solved using various approaches. The optimal control has been formulated as a nonlinear programming (NLP) problem and is used to define the flow rate distribution of the network. Both problems share the same objective: minimization of the total cost of the operation. In principle, the simultaneous solution of the optimal control problem and the optimal cleaning scheduling problem should provide greater savings than the independent or sequential solution of the two problems, since the interactions of the two mitigation alternatives are considered. However, these two problems have been typically considered separately, because of modeling and solution challenges. Also, it is not quite clear what additional benefit a simultaneous solution may bring. The challenges for solving the integrated problem are the large scale of the associated optimization problem and the different time scales involved in each operational layer. Here, a general and efficient formulation is proposed, using a continuous time discretization scheme for the integrated problem of scheduling and control of HENs subject to fouling. A dynamic model of the heat exchangers is proposed that is sufficiently detailed to represent the physics of interest with novel modifications to address simultaneously their control and scheduling in a network. The problem is formulated as a MINLP and solved using deterministic
AU  - Santamaria,FL
AU  - Macchietto,S
DO  - 10.1021/acs.iecr.8b01701
EP  - 12860
PY  - 2018///
SN  - 0888-5885
SP  - 12842
TI  - Integration of optimal cleaning scheduling and control of heat exchanger networks undergoing fouling: Model and formulation
T2  - Industrial & Engineering Chemistry Research
UR  - http://dx.doi.org/10.1021/acs.iecr.8b01701
UR  - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000446142600023&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR  - http://hdl.handle.net/10044/1/66158
VL  - 57
ER  -
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