Optimization of scheduling of cleaning in heat exchanger networks subject to fouling: sugar industry case study

Fouling of heat exchangers in the food industry results in operational problems in scheduling production and cleaning periods, especially when a network involving more than one heat exchanger is involved. A new modelling formulation has been developed to solve the resulting mixed integer-non linear...

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Bibliographic Details
Published in:Food and bioproducts processing 1999-06, Vol.77 (C2), p.159-164
Main Authors: Smaili, F, Angadi, D K, Hatch, C M, Herbert, O
Format: Article
Language:English
Online Access:Get full text
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Summary:Fouling of heat exchangers in the food industry results in operational problems in scheduling production and cleaning periods, especially when a network involving more than one heat exchanger is involved. A new modelling formulation has been developed to solve the resulting mixed integer-non linear programming (MINLP) problem and provides near-optimal results. Application of the technique is illustrated with a case study of raw juice preheat train in a sugar refinery network of 11 heat exchangers. Data reconciliation of plant information was used to generate linear fouling models for the simulation and the solver results are compared with current operating practice. (Original abstract - amended)
ISSN:0960-3085
DOI:10.1205/096030899532312