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

@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 - © 2018 Elsevier B.V. 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 -