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Simultaneous optimization of flow velocity and cleaning schedule for mitigating fouling in refinery heat exchanger networks

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  • Tian, Jiayang
  • Wang, Yufei
  • Feng, Xiao

Abstract

Fouling is a crucial problem in refinery HEN (heat exchanger network) that reduces heat transfer and affects regular production. The conventional way to mitigate fouling is cleaning heat exchanger regularly or improving operation conditions, but simultaneous consideration of the two methods is rare. This paper presents a combined approach for mitigating fouling in HEN by optimizing operation condition and cleaning schedule simultaneously. For optimization of operation condition, flow velocity is selected as a key variable since it can correlate fouling, heat transfer and pressure drop. An overall optimization of network performance can be achieved through redistribution of velocity. In a refinery HEN, fouling cannot be completely prevented through optimization of operation conditions, so management of cleaning actions is optimized to deal with the remained fouling. SA (Simulated annealing) algorithm is used in this work to obtain a comprehensive strategy for mitigating fouling. The application of the proposed method is demonstrated using a case study. The results show higher energy saving and economic efficiency compared with existing methods.

Suggested Citation

  • Tian, Jiayang & Wang, Yufei & Feng, Xiao, 2016. "Simultaneous optimization of flow velocity and cleaning schedule for mitigating fouling in refinery heat exchanger networks," Energy, Elsevier, vol. 109(C), pages 1118-1129.
  • Handle: RePEc:eee:energy:v:109:y:2016:i:c:p:1118-1129
    DOI: 10.1016/j.energy.2016.05.053
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    References listed on IDEAS

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    1. Bishara, E. & Abd-Elhady, M.S. & Halim, M.A., 2015. "Influence of thermal shock on fouling of smooth, rough and finned tubes," Energy, Elsevier, vol. 93(P1), pages 354-360.
    2. Wang, Yufei & Zhan, Shihui & Feng, Xiao, 2015. "Optimization of velocity for energy saving and mitigating fouling in a crude oil preheat train with fixed network structure," Energy, Elsevier, vol. 93(P2), pages 1478-1488.
    3. Łopata, Stanisław & Ocłoń, Paweł, 2015. "Numerical study of the effect of fouling on local heat transfer conditions in a high-temperature fin-and-tube heat exchanger," Energy, Elsevier, vol. 92(P1), pages 100-116.
    4. Pan, Ming & Bulatov, Igor & Smith, Robin, 2016. "Improving heat recovery in retrofitting heat exchanger networks with heat transfer intensification, pressure drop constraint and fouling mitigation," Applied Energy, Elsevier, vol. 161(C), pages 611-626.
    5. Panjeshahi, Mohammad Hassan & Tahouni, Nassim, 2008. "Pressure drop optimisation in debottlenecking of heat exchanger networks," Energy, Elsevier, vol. 33(6), pages 942-951.
    6. Manassaldi, Juan I. & Scenna, Nicolás J. & Mussati, Sergio F., 2014. "Optimization mathematical model for the detailed design of air cooled heat exchangers," Energy, Elsevier, vol. 64(C), pages 734-746.
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    Cited by:

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    2. Li, Nianqi & Klemeš, Jiří Jaromír & Sunden, Bengt & Wu, Zan & Wang, Qiuwang & Zeng, Min, 2022. "Heat exchanger network synthesis considering detailed thermal-hydraulic performance: Methods and perspectives," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
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    6. Trafczynski, Marian & Markowski, Mariusz & Urbaniec, Krzysztof, 2023. "Energy saving and pollution reduction through optimal scheduling of cleaning actions in a heat exchanger network," Renewable and Sustainable Energy Reviews, Elsevier, vol. 173(C).
    7. Luo, Lei & Du, Wei & Wang, Songtao & Wang, Lei & Sundén, Bengt & Zhang, Xinhong, 2017. "Multi-objective optimization of a solar receiver considering both the dimple/protrusion depth and delta-winglet vortex generators," Energy, Elsevier, vol. 137(C), pages 1-19.

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