Performance evaluation and optimization of the cascade refrigeration system based on the digital twin model

Author:

Li Yanpeng,Feng Yiwei,Wang ChuangORCID,Xing Ziwen,Ren Dawei,Fu Lin

Funder

China Scholarship Council

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference36 articles.

1. WMO, WMO Greenhouse Gas Bulletin: The State of Greenhouse Gases in the Atmosphere Based on Global Observations through 2022. 2023; Available from: https://library.wmo.int/idurl/4/68532.

2. IEA, Word Energy Outlook 2023. 2023; Available from: https://iea.blob.core.windows.net/assets/26ca51d0-4a42-4649-a7c0-552d75ddf9b2/WorldEnergyOutlook2023.pdf.

3. A data-driven energy management strategy based on performance prediction for cascade refrigeration systems;Li;Int. J. Refrig,2022

4. Thermodynamic analysis of a transcritical CO2/propylene (R744–R1270) cascade system for cooling and heating applications;Dubey;Energ. Conver. Manage.,2014

5. Thermodynamic and economic evaluation of a non-cascaded dual-temperature compression–absorption–resorption refrigeration system;Kumar;Appl. Therm. Eng.,2024

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