Passive thermal regulation approach for Algofilm © photobioreactor through phase change

Mangi, Kashif Hussain; Larbi, Zakaria; Legrand, Jack; Pruvost, Jérémy; Si‐Ahmed, El‐Khider

doi:10.1016/j.cherd.2021.02.013

Cited by 4 publications

(2 citation statements)

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“…Both phenomena are related to the hydrodynamics in the reactor, since the wall heat transfer depends on the thickness of the hydrodynamic boundary layer. As an additional aspect, evaporation becomes important in open systems with large surface-to-volume ratio [118]. In these cases, simulating the spatial temperature distribution may be part of the design optimization.…”

Section: Heat Transfermentioning

confidence: 99%

“…In contrast, the characteristic times scales of the flow and mixing are found to be in the order of seconds to minutes, depending on the reactor type and size [66,117]. Due to this difference in the characteristic times and the very low penetration depth of infrared radiation, one can include radiative heat transfer via boundary conditions in terms of temperature or heat flux [118]. Regarding the short mixing times in photobioreactors with small dimensions, one can even assume an almost homogeneous temperature distribution, which was also confirmed experimentally [119,120].…”

Section: Heat Transfermentioning

confidence: 99%

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Modeling and Simulation of Photobioreactors with Computational Fluid Dynamics—A Comprehensive Review

Luzi¹,

McHardy

2022

Energies

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Computational Fluid Dynamics (CFD) have been frequently applied to model the growth conditions in photobioreactors, which are affected in a complex way by multiple, interacting physical processes. We review common photobioreactor types and discuss the processes occurring therein as well as how these processes have been considered in previous CFD models. The analysis reveals that CFD models of photobioreactors do often not consider state-of-the-art modeling approaches. As a comprehensive photobioreactor model consists of several sub-models, we review the most relevant models for the simulation of fluid flows, light propagation, heat and mass transfer and growth kinetics as well as state-of-the-art models for turbulence and interphase forces, revealing their strength and deficiencies. In addition, we review the population balance equation, breakage and coalescence models and discretization methods since the predicted bubble size distribution critically depends on them. This comprehensive overview of the available models provides a unique toolbox for generating CFD models of photobioreactors. Directions future research should take are also discussed, mainly consisting of an extensive experimental validation of the single models for specific photobioreactor geometries, as well as more complete and sophisticated integrated models by virtue of the constant increase of the computational capacity.

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Section: Heat Transfermentioning

confidence: 99%