Optimization on the gradually varied pore structure distribution for the irradiated absorber

J.B. Li, P. Wang and D.Y. Liu

Energy, 2022, vol. 240, issue C

Abstract: An optimization method for the gradually varied porous absorber is proposed. The Monte Carlo Ray Tracing method based on the acceptance-rejection sampling is established to obtain the absorption distribution of irradiation in the gradually varied porous absorber. The fluid flow, convection, and thermal radiation in the porous absorber are evaluated. Combined with the genetic algorithms, the distribution of porosity and pore size of the porous absorber could automatically adjust to match the non-uniform radiation flux in both radial and axial directions. Moreover, the internal flow layout could be regulated by an optimized radial pore distribution that directs more fluid enters the high heat flux zone. The optimization results demonstrate that the gradually varied porous absorber with porosity ranging from 0.95 to 0.90 and pore size ranging from 2.5 mm to 1.5 mm could achieve high thermal efficiency and low flow resistance. Compared with the standard model of the uniform porous absorber, the thermal efficiency of the optimal gradually varied porous absorbers could be further increased by 1.23%–9.76%, while the pressure drop could be reduced by 7.88%–55.73%.

Keywords: Optimization method; Gradually varied porous absorber; Acceptance–rejection method; Monte Carlo ray tracing (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (4)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:energy:v:240:y:2022:i:c:s036054422103036x

DOI: 10.1016/j.energy.2021.122787

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