Effective viscosity closures for dense suspensions in CSP systems via lubrication-enhanced DNS and numerical viscometry
Raphael M\"unster, Otto Mierka, Dmitri Kuzmin, Stefan Turek

TL;DR
This paper develops and validates high-accuracy viscosity closure models for dense suspensions in CSP systems using lubrication-enhanced DNS and numerical viscometry, enabling improved CFD simulations of granular flows at high volume fractions.
Contribution
It introduces a robust numerical framework combining DNS with lubrication models and viscometry for accurate rheological characterization of dense suspensions relevant to CSP applications.
Findings
Effective viscosity tables were created for volume fractions above 50%.
Close agreement between wall force and energy dissipation methods validated the approach.
Closure relations are suitable for large-scale CFD modeling of CSP systems.
Abstract
Dense particle suspensions are promising candidates for next-generation Concentrated Solar Power (CSP) receivers, enabling operating temperatures above 800 degrees C. However, accurate modeling of the rheological behavior of granular flows is essential for reliable computational fluid dynamics (CFD) simulations. In this study, we develop and assess numerical methodologies for simulating dense suspensions pertinent to CSP applications. Our computational framework is based on Direct Numerical Simulation (DNS), augmented by lubrication force models to resolve detailed particle-particle and particle-wall interactions at volume fractions exceeding 50\%. We conducted a systematic series of simulations across a range of volume fractions to establish a robust reference dataset. Validation was performed via a numerical viscometer configuration, permitting direct comparison with theoretical…
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Taxonomy
TopicsSolar Thermal and Photovoltaic Systems · Solar-Powered Water Purification Methods · Solar Energy Systems and Technologies
