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Multi-objective optimization of water tank of carbon dioxide heat pump water heater based on improved nondominated sorting genetic algorithm.

Number: pap. n. 753

Author(s) : XU Y., LI E., HUANG Y., et al.

Summary

CO2 heat pump water heater (CHPWH) is a hot topic due to its merit in energy and environment. However, study on water tank considering energetic, economic, environmental and practical performances at one time, has been rarely reported. Therefore, a multi-objective optimization analysis, considering the above 4 aspects, is conducted under typical Chinese climate. The study is conducted with tank size range of 100-500 L. The elitist non-dominated sorting genetic algorithm (NSGA-II) is used with important factors considered, such as heat leak. Finally, a Pareto front of multi-objective solutions is obtained. The optimized system can save about 10% of electricity and 12% economic cost under nominated condition.

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Pages: 8

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Details

  • Original title: Multi-objective optimization of water tank of carbon dioxide heat pump water heater based on improved nondominated sorting genetic algorithm.
  • Record ID : 30026481
  • Languages: English
  • Source: Proceedings of the 25th IIR International Congress of Refrigeration: Montréal , Canada, August 24-30, 2019.
  • Publication date: 2019/08/24
  • DOI: http://dx.doi.org/10.18462/iir.icr.2019.0753

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