Investigating and modelling of light intensity distribution inside algal photobioreactor

Naderi, Gita; Znad, Hussein; Tade, Moses O.

doi:10.1016/j.cep.2017.04.014

Cited by 22 publications

(6 citation statements)

References 19 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this regard, the 1D trends of simulated light intensity show a more accentuated light attenuation along the reactor depth, in the biotic case ( Figure 3D ) compared to the abiotic one ( Figure 3C ), by way of example, in calibration case 1. Therein, we could notice the highest loss of irradiated light in the inlet and middle area of the vessel ( Csögör et al, 1999 ; Gao et al, 2017a ; Naderi et al, 2017 ). The results of our simulations are in line with the experimentally determined values of light leaving the cultivation system which were previously described in the abiotic ( Figure 3A ) and biotic ( Figure 3B ) cases.…”

Section: Resultsmentioning

confidence: 91%

“…As for the analysis of the phenomena principally analyzed in our article, i.e., those related to light transmission, many different simulation scenarios are reported in literature. In some cases, the transmission of light radiation is supposed to be monodirectional ( Zhang et al, 2015 ; Naderi et al, 2017 ), while in other cases, like ours, all possible directions of propagation are considered ( Zhang et al, 2015 ). Furthermore, it is worthwhile to note that the culture medium is multiphasic as it includes a liquid (nutrients, dissolved reagents, and reaction products), gaseous (bubbles), and solid phase.…”

Section: Introductionmentioning

confidence: 99%

“…Our modeling approach, instead, explicitly accounts for the multiphysical nature of the environment within the reactor. When these phenomena are considered, the related coefficients are usually set according to the literature ( Fernández et al, 2012 ; Naderi et al, 2017 ), whereas in our study, they are fitted from experimental data. The correct modeling reproduction of the light pattern makes it possible to improve the accuracy in simulating the biochemical phenomena taking place inside the reactor ( Fernández et al, 2012 ), and to correlate bacterial growth and its possible limitation and inhibition with light transmission ( Huang et al, 2012 ; Koller et al, 2017 ; Zhang et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development

et al. 2021

View full text Add to dashboard Cite

Cyanobacterial cell factories trace a vibrant pathway to climate change neutrality and sustainable development owing to their ability to turn carbon dioxide-rich waste into a broad portfolio of renewable compounds, which are deemed valuable in green chemistry cross-sectorial applications. Cell factory design requires to define the optimal operational and cultivation conditions. The paramount parameter in biomass cultivation in photobioreactors is the light intensity since it impacts cellular physiology and productivity. Our modeling framework provides a basis for the predictive control of light-limited, light-saturated, and light-inhibited growth of the Synechocystis sp. PCC 6803 model organism in a flat-panel photobioreactor. The model here presented couples computational fluid dynamics, light transmission, kinetic modeling, and the reconstruction of single cell trajectories in differently irradiated areas of the photobioreactor to relate key physiological parameters to the multi-faceted processes occurring in the cultivation environment. Furthermore, our analysis highlights the need for properly constraining the model with decisive qualitative and quantitative data related to light calibration and light measurements both at the inlet and outlet of the photobioreactor in order to boost the accuracy and extrapolation capabilities of the model.

show abstract

Section: Resultsmentioning

confidence: 91%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development

et al. 2021

View full text Add to dashboard Cite

show abstract

“…Several studies have focused on light attenuation of microalgae [44][45][46][47][48][49], with a few solely on Chlorella vulgaris [44,45]. In this work, we decided to use the model for light absorption and 346 scattering proposed by Naderi et al [45], which enabled accurate predictions of light distribution 347 at low and high cell densities. The intensity profile function is shown in Eq.…”

Section: The Multiscale Metabolic Model 332mentioning

confidence: 99%

A multiscale model predicts the sensitivity ofChlorella vulgaristo light and nitrogen levels in photobioreactors

Zuñiga

Broddrick

et al. 2021

Preprint

View full text Add to dashboard Cite

The maximization of lipid productivity in microalgae is crucial for the biofuel industry, and it can be achieved by manipulating their metabolism. However, little efforts have been made to apply metabolic models in a dynamic framework to predict possible outcomes to scenarios observed at an industrial scale. Here, we present a dynamic framework for the simulation of large-scale photobioreactors. The framework was generated by merging the genome-scale metabolic model of Chlorella vulgaris (iCZ843) with reactor-scale parameters, thus yielding a multiscale model. This multiscale model was employed to predict the sensitivity of growth and composition variation of C. vulgaris on light and nitrogen levels. Simulations of lipid accumulation quantified the tradeoff between growth and lipid biosynthesis under nitrogen limitation. Moreover, our modeling approach quantitatively predicted the dependence of microalgal metabolism on light intensity and circadian oscillations. Finally, we use the model to design a reactor irradiance profile that maximized lipid accumulation, thus achieving a lipid productivity increase of 46% at a constant intensity of 966 μE m-2 s-1. Our modeling framework elucidated how metabolism and external factors can be combined to predict optimized parameters for industrial applications.

show abstract

“…Unlike traditional treatment methods, biological treatments, such as microalgae-based, process utilize CO 2 , wastewater nutrients and sunlight for growth, and present an economic potential for value-added products from algal biomass [ 8 , 9 , 10 ]. Microalgal technology not only aids in wastewater treatment, but also provides significant environmental, economic, and social advantages by reducing chemical consumption and net pollutant emissions [ 11 , 12 , 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Sustainability Evaluation of Immobilized Acid-Adapted Microalgal Technology in Acid Mine Drainage Remediation following Emergy and Carbon Footprint Analysis

et al. 2022

View full text Add to dashboard Cite

Sustainability evaluation of wastewater treatment helps to reduce greenhouse gas emissions, as it emphasizes the development of green technologies and optimum resource use rather than the end-of-pipe treatment. The conventional approaches for treating acid mine drainages (AMDs) are efficient; however, they need enormous amounts of energy, making them less sustainable and causing greater environmental concern. We recently demonstrated the potential of immobilized acid-adapted microalgal technology for AMD remediation. Here, this novel approach has been evaluated following emergy and carbon footprint analysis for its sustainability in AMD treatment. Our results showed that imported energy inputs contributed significantly (>90%) to the overall emergy and were much lower than in passive and active treatment systems. The microalgal treatment required 2–15 times more renewable inputs than the other two treatment systems. Additionally, the emergy indices indicated higher environmental loading ratio and lower per cent renewability, suggesting the need for adequate renewable inputs in the immobilized microalgal system. The emergy yield ratio for biodiesel production from the microalgal biomass after AMD treatment was >1.0, which indicates a better emergy return on total emergy spent. Based on greenhouse gas emissions, carbon footprint analysis (CFA), was performed using default emission factors, in accordance with the IPCC standards and the National Greenhouse Energy Reporting (NGER) program of Australia. Interestingly, CFA of acid-adapted microalgal technology revealed significant greenhouse gas emissions due to usage of various construction materials as per IPCC, while SCOPE 2 emissions from purchased electricity were evident as per NGER. Our findings indicate that the immobilized microalgal technology is highly sustainable in AMD treatment, and its potential could be realized further by including solar energy into the overall treatment system.

show abstract

Investigating and modelling of light intensity distribution inside algal photobioreactor

Cited by 22 publications

References 19 publications

Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development

Computational Analysis of Dynamic Light Exposure of Unicellular Algal Cells in a Flat-Panel Photobioreactor to Support Light-Induced CO2 Bioprocess Development

A multiscale model predicts the sensitivity ofChlorella vulgaristo light and nitrogen levels in photobioreactors

Sustainability Evaluation of Immobilized Acid-Adapted Microalgal Technology in Acid Mine Drainage Remediation following Emergy and Carbon Footprint Analysis

Contact Info

Product

Resources

About