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

@inproceedings{Coletti:2018,
author = {Coletti, F and Lozano, Santamaria F and Diaz, Bejarano E and Macchietto, S},
publisher = {American Institution of Chemical Engineering},
title = {Optimization of refinery preheat trains: predictive maintenance and operations improvement},
url = {https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding},
year = {2018}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - Deciding which heat exchanger to clean, when to clean and how to clean in refinery pre-heat trains is a challenging activity that typically relies on operator’s experience. In this paper, an algorithm that allow identifying the most economic cleaning schedule for a given refinery configuration and operating conditions is presented. The method relies on an advanced framework that incorporates rigorous heat exchanger models capable of predicting the fouling behaviour of the refinery as a function of configuration of the individual units and the network, process conditions and time. An industrial case study is presented to illustrate the benefits of the approach, showing that significant improvements over current practice can be obtained.
AU  - Coletti,F
AU  - Lozano,Santamaria F
AU  - Diaz,Bejarano E
AU  - Macchietto,S
PB  - American Institution of Chemical Engineering
PY  - 2018///
TI  - Optimization of refinery preheat trains: predictive maintenance and operations improvement
UR  - https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding
UR  - http://hdl.handle.net/10044/1/70017
ER  -
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