Abstract
A theoretical approach was followed to optimize the design of a cylindrical photobioreactor for wastewater treatment based on algal culture. In particular, the problem of uneven light distribution that impairs algal growth was minimized by optimizing the area of uniform illumination distribution for a bioreactor design that can be enlarged without affecting its performance. The theoretical analysis was based on modeled simulations to determine the best configuration and illumination mode. The Monte Carlo method was used to simulate the illumination distribution inside the bioreactor, and the relationships between the width of the area with uniform illumination and related parameters were explored. Based on these theoretical considerations and predictions, an actual experimental photobioreactor was built containing a working area (where culture of Chlorella pyrenoidosa was enabled) and a catchment area for effluent. The performance of this bioreactor was tested with synthetic wastewater as a substrate. The light distribution was found to be relatively uniform inside the bioreactor, supporting excellent algal growth and resulting in maximum removal rates of 84.41% for total nitrogen, 99.73% for total phosphorus, 85.03% for NH4+-N, and 75.94% for chemical oxygen demand (COD) over a period of 32 days of operation. The presented approach provides new insights for improving the efficiency and scalability of photobioreactors and promotes their development for wastewater treatment and resource utilization.
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Abbreviations
- I 0 :
-
Incidental light intensity at the water surface (lx)
- I :
-
Light intensity of the point at a distance of DI from the light source along light path (lx)
- α :
-
Photosynthesis activity coefficient
- γ :
-
Algae suspension extinction coefficient (m−1)
- D I :
-
Distance from the light source to any point along the light path (m)
- A :
-
Surface area exposed to light and perpendicular to optical path direction (m2)
- A 0 :
-
Light-absorbing area perpendicular to optical path direction at the distance of DI (m2)
- R :
-
Radius of bioreactor (m)
- β :
-
Ratio of standard deviation of light intensity to the mean value
- D :
-
Width of the area where light distribution is uniform (m)
- n :
-
Number of simulated sampling points within a certain optical path DI
- \( \overline{I} \) :
-
Average light intensity for all sampling points within a certain optical path DI (lx)
- r :
-
Radius from the bioreactor center to the monitoring point (m)
- H :
-
The height in the designed bioreactor (m)
- I a :
-
Illumination intensity at each monitoring point (lx)
- d :
-
Horizontal distance from the outer wall of the photobioreactor to the center (m)
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Acknowledgments
The authors wish to express thanks for the financial support from the Science and Technology Department of Sichuan Province (2019YFS0504, 2019YFS0055) and Chengdu University of Technology (10912-2018KYQD-06887).
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Jing-Liu conceived and designed the experiments; Zhijiao-Yan and Lei-Qian operated the reactors, performed the laboratory experiments; Zhen-Yuan and Chenxi-Zhao conducted data acquisition and analysis; Zhijiao-Yan wrote the manuscript; Jing-Liu and Wenlai-Xu reviewed the manuscript. All authors have contributed to this manuscript, reviewed and approved the current form of the manuscript to be submitted.
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Highlights
The light distribution along the path was simulated by numerical model combined with Monte Carlo method.
The relationship between the width of uniform illumination area and related parameters was explored.
The structure of the bioreactor determined to reduce the attenuation of light along the path and the way how to obtain the optimal size of the reactor indicated that the reactor can be enlarged without affecting its performance.
Based on the conclusions obtained, the bioreactor samples were fabricated and the operation results were good.
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Yan, ZJ., Liu, J., Qian, L. et al. Development and validation of a photobioreactor for uniform distribution of light intensity along the optical path based on numerical simulation. Environ Sci Pollut Res 27, 42230–42241 (2020). https://doi.org/10.1007/s11356-020-07987-y
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DOI: https://doi.org/10.1007/s11356-020-07987-y