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Adaptive model-based monitoring of large-scale heat pump prone to evaporator fouling.

Number: 0565

Author(s) : AGUILERA J. J., MEESENBURG W., MARKUSSEN W. B., POULSEN J. L., ZÜHLSDORF B., ELMEGAARD B.

Summary

Widespread implementation of large-scale heat pumps can reduce carbon emissions from district heating systems. Fouling of heat exchangers is a common fault in such heat pumps, affecting their performance and availability. A monitoring framework was developed and tested in a heat pump prone to evaporator fouling. Here, a dynamic simulation model was calibrated based on data retrieved from existing control and supervision systems through cloud-based data acquisition. The effects of fouling on the evaporator thermal resistance, and thereby on the system performance, resulted to be larger than the effects on the source side pressure drop. The inclusion of those effects in the model calibration reduced the simulation errors by up to 12 % points compared to an initial calibration. The framework allowed the assessment of the effectiveness of a cleaning-in-place procedure. This also enabled to evaluate cleaning-in-place usage for periods when the heat pump was most affected by fouling.

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Pages: 12

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Details

  • Original title: Adaptive model-based monitoring of large-scale heat pump prone to evaporator fouling.
  • Record ID : 30031367
  • Languages: English
  • Subject: Technology
  • Source: Proceedings of the 26th IIR International Congress of Refrigeration: Paris , France, August 21-25, 2023.
  • Publication date: 2023/08/21
  • DOI: http://dx.doi.org/10.18462/iir.icr.2023.0565

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