Synthèse des approches de modélisation pour la prédiction de la croissance de givre et du dégivrage sur des échangeurs de chaleur à tubes ailetés.
A review of modeling approaches for predicting frost growth and defrosting on tube-fin heat exchangers.
Résumé
Frost formation and growth on the evaporator surface is a common process that deteriorates the air-refrigerant heat transfer and restricts airflow. This degrades the performance of the vapor compression system by increasing temperature lift and air-side pressure drop. To accurately predict these effects during coil frosting, as well as the energy use and duration of the defrost process, there is a need to estimate the heat and mass transfer, momentum transport, and solid-liquid and liquid-vapor phase change. Therefore, in the past few decades, continuous effort has been made to model frosting and defrosting processes using approaches ranging from empirical correlations to computational fluid dynamic models. To provide a clearer overview for researchers, engineers, and manufacturers in this field, this paper provides a comprehensive literature review for frosting and defrosting models. The paper begins with theoretical background of frost formation and defrost processes, and then reviews the common modeling approaches in literature and their underlying assumptions when trying to account for various physical phenomenon. Based on the literature review, the most critical modeling effort for frost formation is the determination of frost densification rate and frost growth rate. Various methods to predict these two parameters are reviewed. Empirical correlations commonly used for frost density and thermal conductivity are presented and compared. For the defrost process, various multi-stage models have been proposed with different assumptions. Some assume the presence of air gap between the tube wall and the frost, while others consider the melted frost flow due to gravity. We also review physics-based and empirical approaches to integrate defrost models into heat pump models. We conclude by identifying research gaps and providing recommendations.
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- Titre original : A review of modeling approaches for predicting frost growth and defrosting on tube-fin heat exchangers.
- Identifiant de la fiche : 30033079
- Langues : Anglais
- Sujet : Technologie
- Source : 2024 Purdue Conferences. 20th International Refrigeration and Air-Conditioning Conference at Purdue.
- Date d'édition : 17/07/2024
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Indexation
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HEAT TRANSFER IN LOW-TEMPERATURE INSULATION.
- Auteurs : TIEN C. L., STRETTON A. J.
- Date : 01/09/1986
- Langues : Anglais
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- Auteurs : SMIRNOV H. F.
- Date : 2001
- Langues : Anglais
- Source : Non-compression refrigeration and cooling. Proceedings of the Second International Workshop.
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- Auteurs : SERAGELDIN A. A., KATSUNORI N.
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- Langues : Anglais
- Source : 14th IEA Heat Pump Conference 2023, Chicago, Illinois.
- Formats : PDF
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Heat transfer analysis of building material wit...
- Auteurs : JIA L.
- Date : 1997
- Langues : Anglais
- Source : International Symposium on Air Conditioning in High Rise Buildings - 1997
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Machine learning based prediction of airflow ma...
- Auteurs : O'MALLEY B., TANCABEL J., AUTE V.
- Date : 17/07/2024
- Langues : Anglais
- Source : 2024 Purdue Conferences. 20th International Refrigeration and Air-Conditioning Conference at Purdue.
- Formats : PDF
Voir la fiche