Imperial College London

Prof. Sandro Macchietto

Faculty of EngineeringDepartment of Chemical Engineering

Professor of Process Systems Engineering
 
 
 
//

Contact

 

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

 
 
//

Assistant

 

Miss Nazma Mojid +44 (0)20 7594 3918

 
//

Location

 

ACEX 507ACE ExtensionSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@inproceedings{Diaz,
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},
}

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
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 -