Ammonia - working substance of refrigeration machines

Cover Page

Cite item

Full Text

Abstract

We compare some exploitation characterizations of the row of cool machines working on ammonia (R 717) and other refrigerants (R 22, R 134a, R 407C, R 410A, R 744, R 290) on the basis of comparison their principal thermophysical and thermodynamical properties.

About the authors

P. G. Krasnomovets

Research and Design and Technological Institute of Refrigeration Equipment and Technology "Agroholod"

Author for correspondence.
Email: info@eco-vector.com

D. in Engineering, Academician of the International Academy of Refrigeration

Ukraine, Odessa

G. K. Mnatsakanov

Research and Design and Technological Institute of Refrigeration Equipment and Technology "Agroholod"

Email: info@eco-vector.com

PhD in Engineering

Ukraine, Odessa

E. A. Bakum

Research and Design and Technological Institute of Refrigeration Equipment and Technology "Agroholod"

Email: info@eco-vector.com

PhD in Engineering

Ukraine, Odessa

References

Supplementary files

Supplementary Files
Action
1. JATS XML
2. Fig. 1. Dependence of electric refrigerating factor ε of the actual refrigeration machine cycles, operating on different refrigerantmax, on boiling point t0 at tk=30°С for: 1 - R717(AB-22); 2 - R22 (5PB20-2-024); 3 - R12 (2FUUBS25); 4 - R134a (MKT20-2-0)

Download (762KB)
3. Fig. 2. Dependence of exergic efficiencies ηe of actual cycles of refrigerating machines on boiling point t0 of refrigerants: 1 - R717 (АV-22); 2 - R22 (5PB20-2-024); 3 - R12 (2FUUBS25); 4 - R134a (МКТ20-2-0)

Download (638KB)
4. Fig. 3. Dependence of TEWI on boiling point t0 (at tK=30°С) for refrigeration facilities with piston compressors operating on R717, R22, R407C and R410A

Download (765KB)

Copyright (c) 2002 Krasnomovets P.G., Mnatsakanov G.K., Bakum E.A.

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.

Согласие на обработку персональных данных

 

Используя сайт https://journals.rcsi.science, я (далее – «Пользователь» или «Субъект персональных данных») даю согласие на обработку персональных данных на этом сайте (текст Согласия) и на обработку персональных данных с помощью сервиса «Яндекс.Метрика» (текст Согласия).