CFD-DEM and PR-DNS studies of low-temperature densely packed beds

Chilamkurti, Yesaswi N.; Gould, Richard D.

doi:10.1016/j.ijheatmasstransfer.2020.120056

CFD-DEM and PR-DNS studies of low-temperature densely packed beds

Journal Article · Thu Jun 25 00:00:00 EDT 2020 · International Journal of Heat and Mass Transfer

DOI:https://doi.org/10.1016/j.ijheatmasstransfer.2020.120056· OSTI ID:1848189

Chilamkurti, Yesaswi N. ^[1]; Gould, Richard D. ^[2]

North Carolina State Univ., Raleigh, NC (United States); North Carolina State Univ., Raleigh, NC (United States)
North Carolina State Univ., Raleigh, NC (United States)

Over the past few decades, granular media is gaining attention as a viable option for heat transfer fluids (HTFs). Several research efforts are studying the use of particle-based heat transfer fluids in a wide variety of applications. With this motivation, the current work focusses on analyzing the different heat transfer mechanisms in low-temperature mono-sized densely packed granular media. To study the heat transfer behavior of granular media at different scales, the current work employs a two-way coupled computational strategy. The motion of particles is solved using the Discrete Element Method (DEM) and the interstitial air is solved using a Finite-Volume (CFD) approach. The Open-Source library CFDEM Coupling® is used in the current study to join the Finite Volume PISO solver of OpenFOAM® and the DEM solver of LIGGGHTS®. Typically, particle-particle contact conduction and particle-air convection are the most popular closure models. But recent research identified a different heat transfer phenomenon in packed beds that cannot be identified by conduction or convection models. While closure models were developed to implement this on a CFD-DEM framework, they did not capture the effect of intra-particulate thermal gradients on this phenomenon. Hence the current work also employs Particle-Resolved Direct Numerical Simulations (PR-DNS) to gain valuable insights allowing for the modification of existing models. A new closure model is then proposed here and is implemented in the CFD-DEM framework. This model provides key insights into the different heat transfer mechanism of packed beds.

View Accepted Manuscript (DOE)

Research Organization:: RTI International, Research Triangle Park, NC (United States)

Sponsoring Organization:: USDOE Advanced Research Projects Agency - Energy (ARPA-E)

Grant/Contract Number:: AR0000414

OSTI ID:: 1848189

Alternate ID(s):: OSTI ID: 1635041

Journal Information:: International Journal of Heat and Mass Transfer, Journal Name: International Journal of Heat and Mass Transfer Journal Issue: C Vol. 159; ISSN 0017-9310

Publisher:: ElsevierCopyright Statement

Country of Publication:: United States

Language:: English

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