Imperial College London

Prof. Sandro Macchietto

Faculty of EngineeringDepartment 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

 

Miss Nazma Mojid +44 (0)20 7594 3918

 
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Location

 

ACEX 507ACE ExtensionSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Diaz-Bejarano:2018:10.1016/j.applthermaleng.2018.05.097,
author = {Diaz-Bejarano, E and Coletti, F and Macchietto, S},
doi = {10.1016/j.applthermaleng.2018.05.097},
journal = {Applied Thermal Engineering},
pages = {666--674},
title = {Complex crude oil fouling layers: use of model predictions to detect inorganics breakthrough},
url = {http://dx.doi.org/10.1016/j.applthermaleng.2018.05.097},
volume = {141},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Crude oil fouling models have greatly improved in the past two decades. However, most models focus on the deposition of organic species at high temperatures (i.e. greater than 200°C). In this paper, a deposit model, capable of capturing simultaneously the deposition of both organic and inorganic species, is used to track deposition history in a shell-and-tube heat exchanger at the hot end of a refinery pre-heat train. The model was previously fitted to plant data and the results compared to the experimental characterization of deposits. It is shown that such a model, together with plant data, can be used (i) to describe the development of complex deposit layers; (ii) to detect and diagnose changes in composition of the deposit. From a practical perspective, it is then possible to alert plant operators of unexpected events such as breakthrough of inorganics at an early stage and help in planning corrective actions.
AU - Diaz-Bejarano,E
AU - Coletti,F
AU - Macchietto,S
DO - 10.1016/j.applthermaleng.2018.05.097
EP - 674
PY - 2018///
SN - 1359-4311
SP - 666
TI - Complex crude oil fouling layers: use of model predictions to detect inorganics breakthrough
T2 - Applied Thermal Engineering
UR - http://dx.doi.org/10.1016/j.applthermaleng.2018.05.097
UR - http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000440958800061&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
UR - http://hdl.handle.net/10044/1/69435
VL - 141
ER -