Sustainable refrigerant selection in binary blends of the R1234YF – hydrofluoroethers

Authors

  • C.В. Артеменко Кафедра инженерной теплофизики Одесская государственная академия холода, Ukraine
  • Д.Н. Никитин Кафедра программирования Одесская государственная академия холод, Ukraine

DOI:

https://doi.org/10.15587/1729-4061.2010.2701

Keywords:

equation of state, azeotrope, neural networks, sustainable development criteria, fuzzy logic

Abstract

The phase behavior and thermophysical properties of R1234yf – HFE systems as alternative to R134a are investigated. Accuracy of COP and pressure ratio predicted by neural networks does not exceed 3%.

Author Biographies

C.В. Артеменко, Кафедра инженерной теплофизики Одесская государственная академия холода

Кандидат технических наук, старший научный
сотрудник, докторант

Д.Н. Никитин, Кафедра программирования Одесская государственная академия холод

Кандидат технических наук, доцент

References

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Published

2010-04-06

How to Cite

Артеменко C., & Никитин, Д. (2010). Sustainable refrigerant selection in binary blends of the R1234YF – hydrofluoroethers. Eastern-European Journal of Enterprise Technologies, 2(7(44), 42–47. https://doi.org/10.15587/1729-4061.2010.2701

Issue

Section

Energy-saving technologies and equipment