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    Heat exchanger network optimization by differential evolution method

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    Publication date
    2014
    Author
    Thuy, N.T.P.
    Pendyala, R.
    Rahmanian, Nejat
    Marneni, N.
    Keyword
    Differential evolution
    Heat exchanger network
    Optimisation
    Peer-Reviewed
    Yes
    Open Access status
    Not Open Access
    
    Metadata
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    Abstract
    The synthesis of heat exchanger network (HEN) is a comprehensive approach to optimize energy utilization in process industry. Recent developments in HEN synthesis (HENS) present several heuristic methods, such as Simulated Annealing (SA), Genetic Algorithm (GA), and Differential Evolution (DE). In this work, DE method for synthesis and optimization of HEN has been presented. Using DE combined with the concept of super-targeting, the ΔTmin optimization is determined. Then DE algorithm is employed to optimize the global cost function including the constraints, such as heat balance, the temperatures of process streams. A case study has been optimized using DE, generated structure of HEN and compared with networks obtained by other methods such as pinch technology or mathematical programming. Through the result, the proposed method has been illustrated that DE is able to apply in HEN optimization, with 16.7% increase in capital cost and 56.4%, 18.9% decrease in energy, global costs respectively.
    URI
    http://hdl.handle.net/10454/18554
    Version
    No full-text in the repository
    Citation
    Zulkefli ZA, Salit MS, Tahir SM et al (2014) Heat exchanger network optimization by differential evolution method. Applied Mechanics and Materials. 564: 292-297.
    Link to publisher’s version
    https://doi.org/10.4028/www.scientific.net/AMM.564.292
    Type
    Article
    Collections
    Engineering and Digital Technology Publications

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