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| Hauptseite > Publikationsdatenbank > How Do Operational and Design Parameters Effect Biomass Productivity in a Flat-Panel Photo-Bioreactor? A Computational Analysis > print |
| Hauptseite > Publikationsdatenbank > How Do Operational and Design Parameters Effect Biomass Productivity in a Flat-Panel Photo-Bioreactor? A Computational Analysis > print |
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| 100 | 1 | _ | |a Loomba, Varun |0 P:(DE-Juel1)164366 |b 0 |
| 245 | _ | _ | |a How Do Operational and Design Parameters Effect Biomass Productivity in a Flat-Panel Photo-Bioreactor? A Computational Analysis |
| 260 | _ | _ | |a Basel |c 2021 |b MDPI |
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| 520 | _ | _ | |a Optimal production of microalgae in photo-bioreactors (PBRs) largely depends on the amount of light intensity received by individual algal cells, which is affected by several operational and design factors. A key question is: which process parameters have the highest potential for the optimization of biomass productivity? This can be analyzed by simulating the complex interplay of PBR design, hydrodynamics, dynamic light exposure, and growth of algal cells. A workflow was established comprising the simulation of hydrodynamics in a flat-panel PBR using computational fluid dynamics, calculation of light irradiation inside the PBR, tracing the light exposure of individual cells over time, and calculation the algal growth and biomass productivity based on this light exposure. Different PBR designs leading to different flow profiles were compared, and operational parameters such as air inlet flowrate, microalgal concentration, and incident light intensity were varied to investigate their effect on PBR productivity. The design of internal structures and lighting had a significant effect on biomass productivity, whereas air inlet flowrate had a minimal effect. Microalgal concentration and incident light intensity controlled the amount of light intensity inside the PBR, thereby significantly affecting the overall productivity. For detailed quantitative insight into these dependencies, better parameterization of algal growth models is required. |
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| 700 | 1 | _ | |a von Lieres, Eric |0 P:(DE-Juel1)129081 |b 1 |e Corresponding author |
| 700 | 1 | _ | |a Huber, Gregor |0 P:(DE-Juel1)129333 |b 2 |e Corresponding author |
| 770 | _ | _ | |a Applied Computational Fluid Dynamics (CFD) |
| 773 | _ | _ | |a 10.3390/pr9081387 |g Vol. 9, no. 8, p. 1387 - |0 PERI:(DE-600)2720994-5 |n 8 |p 1387 |t Processes |v 9 |y 2021 |x 2227-9717 |
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