Experimental study of the temporal scaling characteristics of growth-dependent radiative properties of Spirulina platensis

Ma, Chunyang; Zhao, Junming; Liu, L.H.

doi:10.1016/j.jqsrt.2018.06.021

Cited by 9 publications

(21 citation statements)

References 34 publications

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“…Therefore, the absorption coefficient, measured experimentally in [ 25 ], contributes more to the light extinction than the scattering. This absorption causes the outgoing light at steep angles, which had travelled longer distances than the direct rays, to undergo a significant attenuation, which ultimately produces this directivity on the radiation pattern.…”

Section: Resultsmentioning

confidence: 99%

“…On the other hand, in the blue channel, the radiation intensity decreases faster with the increase in biomass than the red and the green channel. This is to be expected given that the absorption cross-coefficient curve as a function of the wavelength is not flat, but intensifies by almost 1.7 times in the 350–450 nm region of the spectrum [ 25 ].…”

Section: Resultsmentioning

confidence: 99%

“…Nonetheless, they can still be measured experimentally with more or less difficulty and related to some parameters of the cell, as detailed in [ 24 ]. Furthermore, these radiative properties of microalgae (the absorption cross-section, scattering cross-section and scattering phase function) vary significantly over time, depending on the strain’s growth stage, as shown by the studies [ 25 , 26 ]. As all these radiative parameters depend on the wavelength of light and because they vary in such a significant way through time, it can be considered that the values obtained by an RGB camera would correctly identify not only the strain, but its growth’s state.…”

Section: Communications Modellingmentioning

confidence: 99%

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Optical Camera Communication as an Enabling Technology for Microalgae Cultivation

Jurado-Verdú

Guerra

Matus

et al. 2021

Sensors

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Optical Camera Communication (OCC) systems have a potential application in microalgae production plants. In this work, a proof-of-concept prototype consisting of an artificial lighting photobioreactor is proposed. This reactor optimises the culture’s photosynthetic efficiency while transmitting on-off keying signals to a rolling-shutter camera. Upon reception, both signal decoding and biomass concentration sensing are performed simultaneously using image processing techniques. Moreover, the communication channel’s theoretical modelling, the data rate system’s performance, and the plant distribution requirements and restrictions for a production-scale facility are detailed. A case study is conducted to classify three different node arrangements in a real facility, considering node visibility, channel capacity, and space exploitation. Finally, several experiments comprising radiance evaluation and Signal-to-Noise Ratio (SNR) computation are performed at different angles of view in both indoor and outdoor environments. It is observed that the Lambertian-like emission patterns are affected by increasing concentrations, reducing the effective emission angles. Furthermore, significant differences in the SNR, up to 20 dB, perceived along the illuminated surface (centre versus border), gradually reduce as light is affected by greater dispersion. The experimental analysis in terms of scattering and selective wavelength attenuation for green (Arthrospira platensis) and brown (Rhodosorus marinus) microalgae species determines that the selected strain must be considered in the development of this system.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Communications Modellingmentioning

confidence: 99%

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Optical Camera Communication as an Enabling Technology for Microalgae Cultivation

Jurado-Verdú

Guerra

Matus

et al. 2021

Sensors

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“…where Besides, the temporal evolution spectral absorption and scattering cross-sections were experimentally measured in Refs. [13][14][15].…”

Section: Light Transfer Through Microalgae Suspensionsmentioning

confidence: 99%

On the theoretical prediction of microalgae growth for parallel flow

Ma¹

2020

Preprint

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Background: The established microalgae growth models are semi-empirical or considerable fitting coefficients exist. Therefore, the ability of the model prediction is reduced by the numerous fitting coefficients. Furthermore, the predicted results of the established models are dependent on the size of the photobioreactor (PBR), light intensity, flow and concentration field. The growth mechanism of microalgae has not clearly understood in PBR cultivation. It is difficult to predict the microalgae growth by theoretical methods, owing to the aforementioned factors. We developed an exploratory bridging microalgae growth model to predict the microalgae growth rate in PBRs by using the nondimensional method which is effectively in fluid dynamics and heat transfer. Results: The analytical solution of the growth rate was obtained for the parallel flow. The nondimensional growth rate expressed as function of Reynolds number and Schmidt number, which can be used for arbitrary parallel flow due to the solution was expressed as nondimensional quantities. The theoretically predicted growth rate is compared with the experimentally measured microalgae growth rate on the order of magnitude. Conclusions: The nondimensional method successfully applied to the microalgae growth problem for the first time. The general nondimensional solution can unify the numerous experimental data for different laboratory conditions, and give a direction for the disorder of the microalgae growth problem. The nondimensional solution will be useful in the design and operation of PBRs for biofuel production.

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“…Besides, the temporal evolution spectral absorption and scattering cross-sections were experimentally measured in Refs. [11][12][13].…”

Section: Light Transfer Through Microalgae Suspensionsmentioning

confidence: 99%

On the theoretical prediction of microalgae growth for parallel flow

2020

Preprint

View full text Add to dashboard Cite

Background: The established microalgae growth models are semi-empirical or considerable fitting coefficients exist. Therefore, the ability of the model prediction is reduced by the numerous fitting coefficients. Furthermore, the predicted results of the established models are dependent on the size of the photobioreactor (PBR), light intensity, flow and concentration field. The growth mechanism of microalgae has not clearly understood in PBR cultivation. It is difficult to predict the microalgae growth by theoretical methods, owing to the aforementioned factors. We developed an exploratory bridging microalgae growth model to predict the microalgae growth rate in PBRs by using the nondimensional method which is effectively in fluid dynamics and heat transfer.Results: The analytical solution of the growth rate was obtained for the parallel flow. The nondimensional growth rate expressed as function of Reynolds number and Schmidt number, which can be used for arbitrary parallel flow due to the solution was expressed as nondimensional quantities. The theoretically predicted growth rate is compared with the experimentally measured microalgae growth rate on the order of magnitude.Conclusions: The nondimensional method successfully applied to the microalgae growth problem for the first time. The general nondimensional solution can unify the numerous experimental data for different laboratory conditions, and give a direction for the disorder of the microalgae growth problem. The nondimensional solution will be useful in the design and operation of PBRs for biofuel production.

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Experimental study of the temporal scaling characteristics of growth-dependent radiative properties of Spirulina platensis

Cited by 9 publications

References 34 publications

Optical Camera Communication as an Enabling Technology for Microalgae Cultivation

Optical Camera Communication as an Enabling Technology for Microalgae Cultivation

On the theoretical prediction of microalgae growth for parallel flow

On the theoretical prediction of microalgae growth for parallel flow

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