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Identification of the influence of fouling on the heat recovery in a network of shell and tube heat exchangers

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  • Markowski, Mariusz
  • Trafczynski, Marian
  • Urbaniec, Krzysztof

Abstract

The aim of this work is to elaborate a method of identification of the influence of fouling on the heat recovery in a heat exchanger network (HEN). The method is based on mathematical models enabling the interpretation of industrial measurements of operating parameters of the HEN. Details of the models are developed for shell and tube heat exchangers. The crucial assumption is that measurements of the mass flowrate and inlet and outlet temperature, and chemical composition are available for each process stream, this making it possible to evaluate fouling-induced reduction in the recovered energy flow. Using the proposed identification method and an industrial data base acquired in a typical crude distillation unit, the mathematical models are thoroughly tested. The developed approach allows long-term monitoring of changes in the condition of the HEN and assisting plant operator decisions aimed at maximizing heat recovery over the period of plant operation. A case study and an example of optimal scheduling of cleaning interventions on the individual exchangers are presented.

Suggested Citation

  • Markowski, Mariusz & Trafczynski, Marian & Urbaniec, Krzysztof, 2013. "Identification of the influence of fouling on the heat recovery in a network of shell and tube heat exchangers," Applied Energy, Elsevier, vol. 102(C), pages 755-764.
  • Handle: RePEc:eee:appene:v:102:y:2013:i:c:p:755-764
    DOI: 10.1016/j.apenergy.2012.08.038
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    Citations

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    Cited by:

    1. Diaz-Bejarano, E. & Behranvand, E. & Coletti, F. & Mozdianfard, M.R. & Macchietto, S., 2017. "Organic and inorganic fouling in heat exchangers – Industrial case study: Analysis of fouling state," Applied Energy, Elsevier, vol. 206(C), pages 1250-1266.
    2. Wang, Yufei & Wei, Ying & Feng, Xiao & Chu, Khim Hoong, 2014. "Synthesis of heat exchanger networks featuring batch streams," Applied Energy, Elsevier, vol. 114(C), pages 30-44.
    3. Soualhi, Moncef & El Koujok, Mohamed & Nguyen, Khanh T.P. & Medjaher, Kamal & Ragab, Ahmed & Ghezzaz, Hakim & Amazouz, Mouloud & Ouali, Mohamed-Salah, 2021. "Adaptive prognostics in a controlled energy conversion process based on long- and short-term predictors," Applied Energy, Elsevier, vol. 283(C).
    4. Vazquez, Luis & Blanco, Jesús María & Ramis, Rolando & Peña, Francisco & Diaz, David, 2015. "Robust methodology for steady state measurements estimation based framework for a reliable long term thermal power plant operation performance monitoring," Energy, Elsevier, vol. 93(P1), pages 923-944.
    5. Klemeš, Jiří Jaromír & Wang, Qiu-Wang & Varbanov, Petar Sabev & Zeng, Min & Chin, Hon Huin & Lal, Nathan Sanjay & Li, Nian-Qi & Wang, Bohong & Wang, Xue-Chao & Walmsley, Timothy Gordon, 2020. "Heat transfer enhancement, intensification and optimisation in heat exchanger network retrofit and operation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 120(C).
    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. Guelpa, Elisa & Verda, Vittorio, 2020. "Automatic fouling detection in district heating substations: Methodology and tests," Applied Energy, Elsevier, vol. 258(C).
    8. S.M.A. Naqvi & Qiuwang Wang, 2019. "Numerical Comparison of Thermohydraulic Performance and Fluid-Induced Vibrations for STHXs with Segmental, Helical, and Novel Clamping Antivibration Baffles," Energies, MDPI, vol. 12(3), pages 1-18, February.
    9. Tremblay, Veronique & Zmeureanu, Radu, 2014. "Benchmarking models for the ongoing commissioning of heat recovery process in a central heating and cooling plant," Energy, Elsevier, vol. 70(C), pages 194-203.
    10. 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.

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