Heat exchanger fouling exacts a significant economic penalty to chemical manufacturers in terms of lost capacity, energy, equipment replacement and maintenance costs. This paper discusses a systematic approach to develop a real-time/near real-time digital window to continuously detect and predict heat exchanger performance degradation. The architecture developed uses a synergistic blend of first principles models, statistics and expert knowledge to capture fouling trends and provide suitable treatment. The approach is demonstrated on case studies of two industrial heat exchangers.

Subject
Costs, Sensors, Manufacturing, Trends, Thermal degradation, Tools, Algorithms, Engines, Filters, Heat exchangers, Heat, Fouling, Cleaning
Keywords:
heat exchanger fouling, heat exchanger deposition, heat exchanger monitoring, heat exchanger fouling detection, heat exchanger fouling prediction
© 2005 Association for Materials Protection and Performance (AMPP). All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means (electronic, mechanical, photocopying, recording, or otherwise) without the prior written permission of AMPP. Positions and opinions advanced in this work are those of the author(s) and not necessarily those of AMPP. Responsibility for the content of the work lies solely with the author(s).
2005
Association for Materials Protection and Performance (AMPP)
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