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

 

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

@inbook{Macchietto:2018:10.1016/B978-0-444-64241-7.50186-5,
author = {Macchietto, S and Coletti, F and Bejarano, ED},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-444-64241-7.50186-5},
pages = {1147--1152},
title = {Energy Recovery in Heat Exchanger Networks in a Dynamic, Big-data World: Design, Monitoring, Diagnosis and Operation},
url = {http://dx.doi.org/10.1016/B978-0-444-64241-7.50186-5},
year = {2018}
}

RIS format (EndNote, RefMan)

TY  - CHAP
AB - Heat exchanger networks (HENs) are often analysed with simplified models which are not sufficiently predictive in the presence of fouling, in particular for operations monitoring, diagnosis and support. A comprehensive approach is presented, with application to oil refining, that moves substantially beyond the usual simplifying assumptions and incorporates: i) far more detailed models of the physics involved ii) detailed dynamics for both slow and fast changes; iii) detailed reaction engineering models of the deposition of fouling deposits on thermal surfaces as well as deposits removal in chemical and mechanical cleanings; iv) the ability to easily generate multi-scale, detailed models of individual exchangers and whole networks; v) consideration of the complex thermal and hydraulic interactions between exchangers and effects on performance; vi) exploiting the abundant plant data available (historical and current) in conjunction with the more sophisticated models; vii) solution of all problems within an easy to use engineering software environment.
AU - Macchietto,S
AU - Coletti,F
AU - Bejarano,ED
DO - 10.1016/B978-0-444-64241-7.50186-5
EP - 1152
PY - 2018///
SP - 1147
TI - Energy Recovery in Heat Exchanger Networks in a Dynamic, Big-data World: Design, Monitoring, Diagnosis and Operation
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/B978-0-444-64241-7.50186-5
ER -