Energy performance analysis and optimization of a coupled adsorption and absorption cascade refrigeration system

Optimum Performance Analysis of a Hybrid Cascade Refrigeration System Using Alternative Refrigerants

Materials Today Proceedings ◽

10.1016/j.matpr.2018.10.122 ◽

2018 ◽

Vol 5 (14) ◽

pp. 28374-28383 ◽

Author(s):

Naushad Ahmad Ansari ◽

Akhilesh Arora ◽

Samsher ◽

K. Manjunath

Keyword(s):

Performance Analysis ◽

Refrigeration System ◽

Alternative Refrigerants ◽

Optimum Performance ◽

Performance analysis of a solar assisted vapour compression cascade refrigeration system using alternative environment friendly refrigerant

10.1063/5.0050125 ◽

2021 ◽

Author(s):

Ipsita Das ◽

Samiran Samanta

Keyword(s):

Performance Analysis ◽

Refrigeration System ◽

Environment Friendly ◽

Cascade Refrigeration ◽

Vapour Compression

Performance Analysis of the Cascade Refrigeration System using R744 with the low temperature cycle

Journal of the Korea Society For Power System Engineering ◽

10.9726/kspse.2019.23.2.005 ◽

2019 ◽

Vol 23 (2) ◽

pp. 5-11

Author(s):

Chang-Hyo Son ◽

Choon-Geun Moon

Keyword(s):

Performance Analysis ◽

Low Temperature ◽

Temperature Cycle ◽

Refrigeration System ◽

Performance Analysis of Cascade Refrigeration System with alternate Refrigerants

International Journal of Emerging Trends in Engineering Research ◽

10.30534/ijeter/2020/94852020 ◽

2020 ◽

Vol 8 (5) ◽

pp. 2047-2054

Author(s):

Mahesh M

Keyword(s):

Performance Analysis ◽

Refrigeration System ◽

Performance analysis of a R744 and R404A cascade refrigeration system with internal heat exchanger

Journal of the Korea Society For Power System Engineering ◽

10.9726/kspse.2012.16.1.038 ◽

2012 ◽

Vol 16 (1) ◽

pp. 38-43 ◽

Author(s):

H.K. Oh ◽

C.H. Son

Keyword(s):

Heat Exchanger ◽

Performance Analysis ◽

Internal Heat ◽

Refrigeration System ◽

Internal Heat Exchanger ◽

Performance analysis of CO2/NH3 cascade refrigeration system using artificial neural networks

Journal of Advanced Computer Science & Technology ◽

10.14419/jacst.v1i1.4 ◽

2012 ◽

Vol 1 (1) ◽

Author(s):

Mohammad Mehdi Rashidi

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Performance Analysis ◽

Refrigeration System ◽

Artificial Neural ◽

Analysis of Typical Booster Configuration, Parallel-Compressor Booster Configuration and R717/R744 Cascade Refrigeration System for Food Retail Applications. Part 2: Energy Performance in Various Climate Conditions.

Energy Procedia ◽

10.1016/j.egypro.2019.02.091 ◽

2019 ◽

Vol 161 ◽

pp. 268-274 ◽

Author(s):

Konstantinos M. Tsamos ◽

Carlos Amaris ◽

Zoi Mylona ◽

Savvas Tassou

Keyword(s):

Energy Performance ◽

Refrigeration System ◽

Food Retail ◽

Climate Conditions ◽

Comparative thermodynamic performance analysis of a cascade refrigeration system with new refrigerants paired with CO2

Applied Thermal Engineering ◽

10.1016/j.applthermaleng.2020.116286 ◽

2020 ◽

pp. 116286

Author(s):

Victor Adebayo ◽

Muhammad Abid ◽

Michael Adedeji ◽

Mustafa Dagbasi ◽

Olusola Bamisile

Keyword(s):

Performance Analysis ◽

Refrigeration System ◽

Thermodynamic Performance ◽

Performance Comparison of Two Different Compressors in NH3/CO2 Cascade Refrigeration System

6th International Energy Conversion Engineering Conference (IECEC) ◽

10.2514/6.2008-5668 ◽

2008 ◽

Author(s):

Bingming Wang ◽

Jianfeng Li ◽

Huagen Wu ◽

Ziwen Xing

Keyword(s):

Performance Comparison ◽

Refrigeration System ◽

Proceedings of the Institution of Mechanical Engineers Part A Journal of Power and Energy ◽

Selection of suitable natural refrigerants pairs for cascade refrigeration system

10.1177/0957650913487730 ◽

2013 ◽

Vol 227 (5) ◽

pp. 612-622 ◽

Cited By ~ 4

Author(s):

Jahar Sarkar ◽

Souvik Bhattacharyya ◽

Arjun Lal

Keyword(s):

Refrigeration System ◽

Cascade Refrigeration ◽

Selection Of