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- W2511542557 abstract "This paper deals with modelling and optimisation of the cleaning schedule problem in crude oil refinery's heat exchanger network (HEN) subject to fouling and ageing. The problem of HEN fouling has been a feature of all chemical and petrochemical industries. It has a deleterious impact on overall heat transfer coefficient and throughput, leading to reduced heat transfer efficiency, increased fuel consumption, increased greenhouse gases emission and reduced plant productivity. Effective mitigation strategy necessitates an optimal cleaning schedule where the timing of cleaning action is a key decision factor and strongly influenced by the trade-off between cleaning and opportunity cost, reduced productivity and loss production. In this study, ageing effect, manifestly observed as formation of harder coke-like material from initially softer gel-like deposit, particularly in downstream units due to prolonged intense heating, add to the inherent complexities of the cleaning scheduling problem. A strategy to determine the optimal cleaning schedule and the unit to be cleaned by chemical and mechanical methods upon fouling and ageing is formulated. The underpinning optimal cleaning intervals/scheduling problem is modelled and addressed by genetic algorithm (GA) which uses an array of discrete and positive integers as chromosome representation. The results highlight the novelty of chromosome representation and its application to solve the crude oil refinery's HEN cleaning schedule problem." @default.
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- W2511542557 date "2014-01-01" @default.
- W2511542557 modified "2023-09-23" @default.
- W2511542557 title "Optimal cleaning schedule of fouled heat exchanger network under ageing effect using genetic algorithm: Modelling framework" @default.
- W2511542557 hasPublicationYear "2014" @default.
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