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Use of C-factor for monitoring of fouling in a shell and tube heat exchanger

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  • Mohanty, Dillip Kumar
  • Singru, Pravin M.

Abstract

Heat exchangers operating in process industries are fouled during operations and results in decrease in the thermal efficiency of a heat exchanger. Once the thermal efficiency decreases to a minimum acceptable level, cleaning of the equipment becomes necessary to restore the performance. This paper uses C-factor as a tool for investigation of the performance of a heat exchanger due to fouling which consequently gives information regarding the extent of fouling developed on the heat transfer surfaces. The fouling parameters are predicted by measurements of flow rate and pressure drop. In contrast to most conventional methods, the extent of fouling can be detected considering the flow rate and pressure drop when the heat exchanger operates in transient states. The C-Factor is first calculated through out cleaning period and then compared with the clean and the design value. The results show that the proposed tool is very effective in detecting the fouling developed and the corresponding degradation in heat transfer efficiency of a heat exchanger. Hence the results of this work can find applications in predicting the reduction in heat transfer efficiency due to fouling in heat exchangers that are in operation and assist the exchanger operators to plan cleaning schedules.

Suggested Citation

  • Mohanty, Dillip Kumar & Singru, Pravin M., 2011. "Use of C-factor for monitoring of fouling in a shell and tube heat exchanger," Energy, Elsevier, vol. 36(5), pages 2899-2904.
    • Handle: RePEc:eee:energy:v:36:y:2011:i:5:p:2899-2904
    DOI: 10.1016/j.energy.2011.02.032
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    References listed on IDEAS

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    1. Sheikh, Anwar K & Zubair, Syed M & Younas, Muhammad & Budair, M.O, 2000. "A risk based heat exchanger analysis subject to fouling," Energy, Elsevier, vol. 25(5), pages 445-461.
    2. Zubair, Syed M. & Sheikh, Anwar K. & Younas, Muhammad & Budair, M.O., 2000. "A risk based heat exchanger analysis subject to fouling," Energy, Elsevier, vol. 25(5), pages 427-443.
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    Citations

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    Cited by:

    1. 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.
    2. Aguilera, José Joaquín & Meesenburg, Wiebke & Ommen, Torben & Markussen, Wiebke Brix & Poulsen, Jonas Lundsted & Zühlsdorf, Benjamin & Elmegaard, Brian, 2022. "A review of common faults in large-scale heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 168(C).
    3. Shetty, Nitin & Deshannavar, Umesh Basanagouda & Marappagounder, Ramasamy & Pendyala, Rajashekhar, 2016. "Improved threshold fouling models for crude oils," Energy, Elsevier, vol. 111(C), pages 453-467.
    4. Guelpa, Elisa & Verda, Vittorio, 2020. "Automatic fouling detection in district heating substations: Methodology and tests," Applied Energy, Elsevier, vol. 258(C).
    5. Guelpa, E. & Capone, M. & Sciacovelli, A. & Vasset, N. & Baviere, R. & Verda, V., 2023. "Reduction of supply temperature in existing district heating: A review of strategies and implementations," Energy, Elsevier, vol. 262(PB).
    6. 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.

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