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Impact of domain discretization on the accuracy of a 2D model of PCM module for ventilation application
Author(s) -
Viktor Bue Ljungdahl,
Muhyiddine Jradi,
Jonathan Dallaire,
Christian Veje
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2116/1/012023
Subject(s) - discretization , interval (graph theory) , computer science , heat transfer , convergence (economics) , independence (probability theory) , ventilation (architecture) , simulation , mathematical optimization , mechanics , mechanical engineering , mathematics , engineering , statistics , physics , mathematical analysis , combinatorics , economics , economic growth
Optimal selection of domain discretization for numerical Phase Change Material (PCM) models is useful to establish confidence in model predictions and minimize the time consumption for conducting design analysis. Very detailed and geometrically complex models are usually applied utilizing several million cells. A 2D numerical PCM model of a climate module for thermal comfort ventilation is investigated. The mesh independence was conducted on 22 different mesh sizes ranging from 70 to 10.870 nodes. Convergence criteria was evaluated based on average air supply temperature and total heat transfer between the PCM and the air within the simulation time interval. Less than 0.1 % change in the air supply temperature and the heat transfer between the PCM and the air was achieved with 5250 and 9870 nodes, respectively. Thereby highlighting that a relatively small amount of nodes can be considered to achieve sufficient accuracy to conduct analysis of PCM applications.

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