TY - JOUR
T1 - A discrete element approach to model packed bed thermal storage
AU - Gaviño, David
AU - Cortés, Eduardo
AU - García, Jesús
AU - Calderón-Vásquez, Ignacio
AU - Cardemil, José
AU - Estay, Danilo
AU - Barraza, Rodrigo
N1 - Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/11/1
Y1 - 2022/11/1
N2 - A discrete 1-D Eulerian and 3-D Lagrangian model was developed to analyze heat transfer in packed beds composed of spherical particles to study a in more detail the solid phase phenomenon. The proposed thermal model simulates the particles using the discrete element method, generating a particle distribution inside the packed bed. It considers direct and indirect conduction, convection, and radiation and evaluates the local heat transfer phenomena. One of its main advantages is its flexibility to deliver results at the particle level, which provides detailed information than continuous models. A comparison with experimental data from the literature indicates good agreement, with mean absolute errors lower than 8 K. Finally, through a sensitivity analysis, it was demonstrated that the selection of an appropriate Nusselt number is essential because it is related to the convective heat transfer, which corresponds to 85.8% of the total heat transfer during the charging process. For the standby process, particle fluid conduction is the predominant heat transfer mechanism, accounting for 27.5% of the total heat transfer.
AB - A discrete 1-D Eulerian and 3-D Lagrangian model was developed to analyze heat transfer in packed beds composed of spherical particles to study a in more detail the solid phase phenomenon. The proposed thermal model simulates the particles using the discrete element method, generating a particle distribution inside the packed bed. It considers direct and indirect conduction, convection, and radiation and evaluates the local heat transfer phenomena. One of its main advantages is its flexibility to deliver results at the particle level, which provides detailed information than continuous models. A comparison with experimental data from the literature indicates good agreement, with mean absolute errors lower than 8 K. Finally, through a sensitivity analysis, it was demonstrated that the selection of an appropriate Nusselt number is essential because it is related to the convective heat transfer, which corresponds to 85.8% of the total heat transfer during the charging process. For the standby process, particle fluid conduction is the predominant heat transfer mechanism, accounting for 27.5% of the total heat transfer.
KW - Numerical modeling
KW - Pack bed thermal energy storage
KW - Sensible heat storage
KW - Simulation and radiation heat exchange
KW - Thermal analysis
KW - Thermal stratification
UR - http://www.scopus.com/inward/record.url?scp=85137081104&partnerID=8YFLogxK
U2 - 10.1016/j.apenergy.2022.119821
DO - 10.1016/j.apenergy.2022.119821
M3 - Article
AN - SCOPUS:85137081104
SN - 0306-2619
VL - 325
JO - Applied Energy
JF - Applied Energy
M1 - 119821
ER -