Enhancing thermodynamic performance with an advanced combined power and refrigeration cycle with dual LNG cold energy utilization

Baigh, Tajwar A.; Saif, Mostofa J.; Mustakim, Ashraf; Nanzeeba, Fairooz; Khan, Yasin; Ehsan, M. Monjurul

doi:10.1016/j.heliyon.2024.e35748

Heliyon

2024

DOI: 10.1016/j.heliyon.2024.e35748

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Enhancing thermodynamic performance with an advanced combined power and refrigeration cycle with dual LNG cold energy utilization

Tajwar A. Baigh,

Mostofa J. Saif,

Ashraf Mustakim

et al.

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2024

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Cited by 10 publications

References 71 publications

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Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Ji,

Liu,

et al. 2024

Asia-Pacific J Chem Eng

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To meet the strict requirement on whole chain of vaccine production, storage, transportation, and distribution, most researches have been done on cascade refrigeration systems to achieve high operation performance, while a research gap on the performance exploration of eco‐friendly refrigeration systems still exists. In this paper, a comprehensive thermodynamic model was established to analyze the operation performance of a pre‐cooled cascade refrigeration system with eco‐friendly refrigerants propane (R290) and ethane (R170). Based on the present thermodynamic model, the performance optimization on the R290‐R170 cascade refrigerator was made with considerations of degree of subcooling, degree of superheat, evaporation temperature, condensation temperature, cascade condensation temperature, and cascade temperature difference. Variations of the coefficient of performance, exergy destruction, and total exergy efficiency of the refrigeration cycle were analyzed. Two mathematical correlations yielding the optimal cascade condensation temperature and maximized coefficient of performance were developed by multilinear regression analysis. When the evaporation temperature is − 60°C, the maximized coefficient of performance and total exergy efficiency are 1.276 and 49.51%. This paper demonstrates the potential for improving the R290‐R170 cascade refrigeration system and furnishes the basis for further exploration on ultra‐low‐temperature refrigerators.

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Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Ji,

Liu,

et al. 2024

Asia-Pacific J Chem Eng

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Developing an Artificial Neural Network Algorithm Optimized for Accurate Output prediction of a Multi-step Solar Desalination System and Exergy Analysis

Alsagri,

Alrobaian

2024

Arab J Sci Eng

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Study of two thermally integrated pumped thermal electricity storage systems using distinct working fluid groups: Performance comparison

Wang,

Li,

Wang

2024

Case Studies in Thermal Engineering

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Enhancing thermodynamic performance with an advanced combined power and refrigeration cycle with dual LNG cold energy utilization

Cited by 10 publications

References 71 publications

Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Thermodynamic analysis and performance optimization on an ultra‐low‐temperature cascade refrigeration system using refrigerants R290 and R170

Developing an Artificial Neural Network Algorithm Optimized for Accurate Output prediction of a Multi-step Solar Desalination System and Exergy Analysis

Study of two thermally integrated pumped thermal electricity storage systems using distinct working fluid groups: Performance comparison

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