A computational tool for guiding retrofit projects of industrial heat recovery systems subject to variation in operating conditions

•Automatic mathematical modelling of (industrial) heat exchanger networks (HEN).•Computational analysis tool to evaluate the response of HENs to variation in operating conditions.•Methodology to increase time-efficiency of HEN design screening processes.•Illustration of above-mentioned highlights by...

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Bibliographic Details
Published inApplied thermal engineering Vol. 182; p. 115648
Main Authors Langner, Christian, Svensson, Elin, Harvey, Simon
Format Journal Article
LanguageEnglish
Published Oxford Elsevier Ltd 05.01.2021
Elsevier BV
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Summary:•Automatic mathematical modelling of (industrial) heat exchanger networks (HEN).•Computational analysis tool to evaluate the response of HENs to variation in operating conditions.•Methodology to increase time-efficiency of HEN design screening processes.•Illustration of above-mentioned highlights by means of an industrial case study. Heat exchanger networks (HEN) in industrial heat recovery systems often consist of large and complex subsystems. Usually, such HENs are subject to variation in operating conditions, such as varying inlet conditions or changing heat capacity flow rates. Additionally, complexities such as stream splits and recycle loops are commonly present in industrial HENs. Therefore, extensive modelling and/or analytical calculations may be necessary when analyzing different retrofit proposals. Furthermore, retrofit opportunities in industrial heat recovery systems are often constrained by operability considerations, i.e. retrofit actions are supposed to have as little impact as possible on the production process to maintain the quality of the core product. In this work, a computational analysis tool is proposed for effective screening of HEN retrofit design proposals at an early stage in the design process. The proposed tool enables fast evaluation of the network’s response, i.e. temperatures and heat loads, when operating conditions change and/or operational settings are manipulated, and it is applicable for a wide range of HEN structures. The practical use of the analysis tool is demonstrated in a case study on the HENs of a large modern Kraft pulp mill.
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ISSN:1359-4311
1873-5606
DOI:10.1016/j.applthermaleng.2020.115648