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{Diaz:2018,
author = {Diaz, Bejarano E and Coletti, F and Macchietto, S},
publisher = {American Institute of Chemical Engineering},
title = {Improving crude oil fouling monitoring, prediction and mitigation strategies in refinery preheat trains},
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  - Traditional heat exchanger monitoring methodologies rely on fouling resistance calculations that neglect the effects of fouling on pressure drops, and are not able to predict future performance as a function of process conditions, heat exchangers geometry and network configurations. In this paper, an improved approach to monitoring of fouling in refinery pre-heat trains that rely on rigorous predictive models is summarised and illustrated with an industrial case study.
AU  - Diaz,Bejarano E
AU  - Coletti,F
AU  - Macchietto,S
PB  - American Institute of Chemical Engineering
PY  - 2018///
TI  - Improving crude oil fouling monitoring, prediction and mitigation strategies in refinery preheat trains
UR  - https://www.aiche.org/conferences/aiche-spring-meeting-and-global-congress-on-process-safety/2018/proceeding
UR  - http://hdl.handle.net/10044/1/70015
ER  -
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