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Modelling and optimization of cascade high-temperature heat pump using natural zeotropic refrigerant mixtures.

Number: 0860

Author(s) : GANESAN P., EIKEVIK T. M.

Summary

Space heating accounts for a significant amount of energy use across the world. A heat pump is one of the effective solutions for heating and shaping the low/zero carbon future. This work proposes modelling and optimizing a high-temperature heat pump that can deliver a hot water temperature of more than 100 ° C. The heat pump model was established in MATLAB. A cascade refrigeration system was used with natural refrigerant mixtures in both stages. A mixture of carbon dioxide + butane was introduced in the low stage and carbon dioxide + pentane was introduced in the high stage of the cycle. The main objective of this work was to design a high-temperature heat pump and optimize the total coefficient of performance (COP) of the system using zeotropic refrigerant mixtures. A source temperature range of 10 to 50° C was considered. The investigation of this model reveals that it is possible to generate hot water at up to 117 ° C with a temperature lift of 67 ° C. It was also found that the total system COP can be reached up to 3.843 for a hot water temperature of 117 °C. The maximum heating capacity of the system was 207 kW. The results of this work were compared with the pure refrigerants. For the same source temperatures, a substantial improvement in the system’s COP of about 25% when using the proposed refrigerant mixtures. Also noted is that the system’s COP reduces with the increase in CO2 mass fraction in the refrigerant mixtures, as the compressor power consumption increases.

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Pages: 13

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Details

  • Original title: Modelling and optimization of cascade high-temperature heat pump using natural zeotropic refrigerant mixtures.
  • Record ID : 30031469
  • Languages: English
  • 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.2023.0860

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