2016
DOI: 10.1115/1.4035163
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Effects of Preferential Concentration on Heat Transfer in Particle-Based Solar Receivers

Abstract: The working principle of particle-based solar receivers is to utilize the absorptivity of a dispersed particle phase in an otherwise optically transparent carrier fluid. In comparison to their traditional counterparts, which use a solid surface for radiation absorption, particle-based receivers offer a number of opportunities for improved efficiency and heat transfer uniformity. The physical phenomena at the core of such receivers involve coupling between particle transport, fluid turbulence, and radiative hea… Show more

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Cited by 55 publications
(41 citation statements)
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“…This limited exposure of the computational cell to F (i) is not captured by the time-dependent term in Eq. (5) and must be accounted for separately. To show the need for this additional correction, consider a particle with high velocity that spends an infinitesimal time in each computational cell.…”
Section: Correction For the Finite Exposurementioning
confidence: 99%
“…This limited exposure of the computational cell to F (i) is not captured by the time-dependent term in Eq. (5) and must be accounted for separately. To show the need for this additional correction, consider a particle with high velocity that spends an infinitesimal time in each computational cell.…”
Section: Correction For the Finite Exposurementioning
confidence: 99%
“…Other primary questions in particle-laden flows concern the nature of particle dispersion and concentration where the distribution of particles may influence other physical processes. For example, in particle-based solar collectors, non-uniform particle concentration can impact the overall system efficiency [9]. Another example concerns fluidized bed reactors where particles act as catalyzing agents lowering the activation energy necessary for reactants to reach activated complex.…”
Section: Introductionmentioning
confidence: 99%
“…. , r, are identified from the permutation matrix P in (15) and indicate input samples ξ (i k ) corresponding to the LF realizations u (i k ) L (see Fig. 5, dark orange boxes, top row).…”
Section: Construction Of Bi-fidelity Approximationmentioning
confidence: 99%
“…. , r, identified by the permutation matrix P in (15), are exactly the same as the corresponding columns of U L . Stated differently, an r × r sub-matrix of C L is a permutation of the identity matrix.…”
Section: Construction Of Bi-fidelity Approximationmentioning
confidence: 99%
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