Lourenco Alves, CarineCarineLourenco AlvesHeinrich, StefanStefanHeinrich2024-02-292024-02-292024-03-01Chemical Engineering Research and Design 203: 357-367 (2024)https://hdl.handle.net/11420/46113The heat transfer within particle beds is of significant importance in various industrial applications; however, its comprehension remains limited. The investigation of packed beds involves employing the use of effective thermal conductivity, a widely employed approach that is constrained by the need for extensive experimental work and the presence of heterogeneities. Discrete Element Method (DEM) simulations are widely recognized as a valuable tool for enhancing comprehension of complex systems. Nevertheless, the extensive computational time required for these simulations poses a significant limitation on their widespread implementation. The present study encompassed the integration of particle-particle and particle-wall heat transfer models into the MUSEN framework. The models were employed to simulate scenarios involving stationary packed particle beds. The proposed models were validated by data obtained from existing literature. A favorable agreement was achieved for all examined instances, with notable reductions in simulation times, comparable to those observed in simulations employing the continuum approach. The simulations were compared with established models in the literature, and the simulations exhibited higher accuracy in predicting experimental values. This highlights the potential of the proposed methodology to be utilized in heat transfer analysis while maintaining efficient simulation times, without the need for continuum approach simulations, and providing additional understanding of the underlying micro mechanisms.en0263-8762Chemical engineering research and design2024357367https://creativecommons.org/licenses/by/4.0/DEM modellingHeat transferParticle bed systemsPhysicsChemistryEngineering and Applied OperationsImproving the analysis of heat transfer in packed beds : a comparative study between DEM simulations and existing literature modelsJournal Article10.15480/882.956510.1016/j.cherd.2024.01.06210.15480/882.9565Journal Article