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A numerical study on frosting and its early stage under forced convection conditions with surface and environmental factors considered

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dc.title A numerical study on frosting and its early stage under forced convection conditions with surface and environmental factors considered en
dc.contributor.author Lei, Shangwen
dc.contributor.author Song, Mengjie
dc.contributor.author Pekař, Libor
dc.contributor.author Shen, Jun
dc.relation.ispartof Sustainable Energy Technologies and Assessments
dc.identifier.issn 2213-1388 Scopus Sources, Sherpa/RoMEO, JCR
dc.date.issued 2021
dc.type article
dc.language.iso en
dc.publisher Elsevier Ltd
dc.identifier.doi 10.1016/j.seta.2021.101202
dc.relation.uri https://www.sciencedirect.com/science/article/pii/S2213138821002125
dc.subject early frosting stage en
dc.subject forced convection en
dc.subject model optimization en
dc.subject sensitivity analysis en
dc.subject surface wettability and environmental factors en
dc.description.abstract To accurately control the frosting process, analyzing the influence of different factors on frosting is meaningful and challengeable, especially in the early frosting stage. According to the sensitivity analysis, the influence of different surface wettability and environmental factors on the growth of frost layer were quantitatively analyzed. Based on the experimental data on cold plate surface under forced convection conditions, new models with emphasis on the initial conditions of the frosting process are developed. Results show that supersaturation degree, supercooling degree and cold plate temperature are the key factors on the growth of frost layer, but their specific influence varies in the early frosting stage. And proportions of these three factors reach 39.42%, 35.58% and 21.15%, respectively. The coincidence rates of the new models with an error of 15% reach>90% for the whole frosting process, and 83% for the early frosting stage. Compared with previous models, the coincidence rates of the new models for the whole frosting process and the early frosting stage are increased by at least 8.86% and 15.28%, respectively. Contributions of this study are expected to predict the growth of frost layer in the early frosting stage and provide a reference for the optimal defrosting control of air source heat pumps. © 2021 Elsevier Ltd en
utb.faculty Faculty of Applied Informatics
dc.identifier.uri http://hdl.handle.net/10563/1010293
utb.identifier.scopus 2-s2.0-85104102875
utb.source j-scopus
dc.date.accessioned 2021-04-30T19:22:35Z
dc.date.available 2021-04-30T19:22:35Z
utb.ou Department of Automation and Control Engineering
utb.contributor.internalauthor Pekař, Libor
utb.fulltext.sponsorship The corresponding author acknowledges the financial supports from the National Natural Science Foundation of China (No. 52076013 , 51925605 ), Beijing Municipal Science & Technology Commission (No. 3212024 ), Discovery Early Career Researcher Award (DECRA) 2020, Australian Research Council, Australia (No. DE200101747 ), Open Fund of Key Laboratory of Icing and Anti/De-icing (Grant No. IADL20200104 ), the CAS Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, China (No. CRYO202001 ), and Chinese Association of Refrigeration (No. CAR20-04 ).
utb.scopus.affiliation Department of Energy and Power Engineering, School of Mechanical Engineering, Beijing Institute of Technology, Beijing, 100081, China; School of Environment & Architecture, University of Shanghai for Science & Technology, No. 516, Jungong Road, Shanghai, China; Department of Automation and Control Engineering, Faculty of Applied Informatics, Tomas Bata University in Zlín, Nad Stráněmi 4511, Zlín, 76005, Czech Republic; Key Laboratory of Cryogenics, Technical Institute of Physics and Chemistry, Chinese Academy of Sciences, Beijing, 100190, China
utb.fulltext.projects 52076013
utb.fulltext.projects 51925605
utb.fulltext.projects 3212024
utb.fulltext.projects DE200101747
utb.fulltext.projects IADL20200104
utb.fulltext.projects CRYO202001
utb.fulltext.projects CAR20-04
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